WO2021190291A1 - 一种检测人体肌肉健康程度的方法及电子设备 - Google Patents

一种检测人体肌肉健康程度的方法及电子设备 Download PDF

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Publication number
WO2021190291A1
WO2021190291A1 PCT/CN2021/079630 CN2021079630W WO2021190291A1 WO 2021190291 A1 WO2021190291 A1 WO 2021190291A1 CN 2021079630 W CN2021079630 W CN 2021079630W WO 2021190291 A1 WO2021190291 A1 WO 2021190291A1
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WIPO (PCT)
Prior art keywords
user
electronic device
bottom plate
strength
lower limb
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PCT/CN2021/079630
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English (en)
French (fr)
Inventor
李旭
朱萸
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华为技术有限公司
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Publication of WO2021190291A1 publication Critical patent/WO2021190291A1/zh

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0537—Measuring body composition by impedance, e.g. tissue hydration or fat content
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow
    • A61B5/224—Measuring muscular strength
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow
    • A61B5/224—Measuring muscular strength
    • A61B5/225—Measuring muscular strength of the fingers, e.g. by monitoring hand-grip force
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4519—Muscles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4869—Determining body composition

Definitions

  • This application relates to the technical field of testing instruments, and in particular to a method and electronic equipment for detecting the health of human muscles.
  • Sarcopenia is a disease characterized by decreased muscle volume, muscle strength, and physical function.
  • ICD-10 code M62.84
  • World Health Organization International Classification of Diseases
  • Sarcopenia may make it difficult for the elderly to complete various daily activities such as walking, sitting and standing, increase the risk of falls, cause fractures, and even death and other serious problems.
  • Even young people, due to lack of exercise, sedentary time, vitamin D and insufficient light, will show a trend of decreased muscle mass and muscle mass, increasing the incidence of sarcopenia. Therefore, it is necessary to provide a method that can detect human muscle health (such as muscle mass, muscle strength, etc.) so that users can understand their muscle health in real time and take precautions.
  • magnetic resonance imaging magnetic resonance imaging
  • CT X-ray computed tomography
  • DEXA dual energy X-ray absorptiometry
  • MRI magnetic resonance imaging
  • CT X-ray computed tomography
  • DEXA dual energy X-ray absorptiometry
  • BIA bioelectrical impedance analysis
  • LMI lean mass index
  • Muscle strength can be measured by a grip dynamometer, a tension meter, etc.; for example, the hand grip strength can be measured by a grip dynamometer, and the upper arm tension can be measured by a tension meter.
  • the use of the above method to complete the measurement of the above multiple muscle indicators requires a variety of measuring equipment (such as body composition analyzer, grip meter, tension meter, stopwatch, etc.); in addition, the use of the above method requires manual auxiliary timing and manual auxiliary analysis of the measurement results . Therefore, the above method is too complicated to operate.
  • the present application provides a method and electronic device for detecting the health of human muscles, which can quickly and conveniently complete the measurement of the user's muscle indicators, and then evaluate the health of the human muscles.
  • a method for detecting the health of human muscles is provided.
  • the method is applied to an electronic device including a handle and a bottom plate, wherein the handle and the bottom plate of the electronic device are respectively provided with positive and negative plates and pressure sensors; this
  • the method includes: when the electronic device detects that the handle is held by the user, it measures multiple human body impedance values through the positive and negative plates set on the handle and the bottom plate, and determines the muscle mass of the user’s limbs based on the multiple human body impedance values obtained by the measurement.
  • the electronic device detects that the handle is strongly held by the user, it detects the pressure value of the handle through the pressure sensor set on the handle, and determines the user's hand grip based on the detected handle pressure value; the electronic device detects that the user starts During the squatting test or sitting and standing test, the pressure value of the bottom plate is detected by the pressure sensor set on the bottom plate, and based on the bottom plate pressure value obtained by the detection, the user's lower limb strength is determined; the electronic device is based on the muscle mass of the limbs, hand grip and lower limb strength, Combining the acquired age and gender of the user, as well as the corresponding relationship between human muscle health and limb muscle mass, hand grip strength, lower limb strength, and age and gender, determine the user's muscle health.
  • the technical solution provided by the above-mentioned first aspect uses an electronic device including a handle and a bottom plate to measure multiple human body impedance values through positive and negative plates when the user holds the handle, so as to obtain the muscle mass of the user’s limbs;
  • the pressure value of the handle is measured by the pressure sensor on the handle to obtain the user's hand grip;
  • the pressure value of the bottom plate is measured by the pressure sensor on the bottom plate to get The user’s lower limb strength.
  • the above-mentioned handle is a pull-out handle, the handle is connected to the electronic device through an elastic member, and one end of the elastic member is also provided with a tension sensor; the above method further includes: the electronic device detects that the user starts to stretch During the test, the tensile force value is detected by the tensile force sensor, and based on the tensile force value obtained, the user's upper arm tensile force is determined; the above-mentioned electronic device is based on the muscle mass of the limbs, hand grip and lower limb strength, combined with the obtained user's age and gender, and The relationship between human muscle health and limb muscle mass, hand grip strength, lower limb strength, as well as age and gender determines the user’s muscle health, which specifically includes: electronic equipment according to the limb muscle mass, hand grip strength, lower limb strength and Upper arm tension, combined with the obtained user's age and gender, as well as the relationship between human muscle health and limb muscle mass, hand grip, lower limb strength, lower limb
  • the tensile force value of the user during the tensile test is detected by the tensile force sensor provided at one end of the pull-out handle, so as to quickly and conveniently complete the measurement of the tensile force index of the user's upper arm. Improve user experience.
  • the tensile force sensor detects the tensile force value, and based on the tensile force value obtained by the detection, determines the user's upper arm tensile force, which specifically includes: the electronic device prompts the user Hold the handle to pull out and retract multiple times within the first preset time, and detect the number of times the handle is pulled out and retracted within the first preset time after receiving the user's confirmation or after the preset time prompted; and Based on the number of detections, the user’s upper arm tension is determined; or, the electronic device prompts the user to complete the first preset number of handle pull-out and retract operations.
  • the handle After receiving the user's confirmation or after the prompt preset time, the handle is The time consumed by the user to pull out and retract the first preset number of times; and based on the detected time, determine the upper arm tension of the user.
  • the measurement of the user's upper arm tension index can be completed quickly and conveniently. Improve user experience.
  • the pressure sensor provided on the bottom plate detects the bottom plate pressure value, and determines the user's bottom plate pressure value based on the detected bottom plate pressure value.
  • the strength of the lower limbs specifically includes: the electronic device prompts the user to stand on the bottom plate, stand up and squat down multiple times within the second preset time, and detect in the second after receiving the user's confirmation or after the prompt preset time.
  • the electronic device prompts the user to stand on the floor to complete the second preset number of times Stand up and/or squat operation, after receiving the user's confirmation or after the preset time prompted, detect the time for the user to complete the second preset number of standing up and squatting; and based on the detected user to complete the second preset Set the number of times to stand up and squat down to determine the user’s lower limb strength; or, the electronic device prompts the user to stand on the floor, stand up and sit down multiple times within the third preset time, or after receiving the user’s confirmation or After the prompt preset time, detect the number of times the user stands up and sit down within the third preset time; and based on the detected number of times the user stands up and sit down within the third preset time, determine the user's Lower
  • the user's lower limb strength is determined.
  • the user is prompted to use the bottom plate to perform stand up and squat operations/stand up and sit down operations to assist the electronic device to obtain the user's lower limb strength, so that the electronic device can quickly and conveniently complete the user's lower limb strength index measurement .
  • a communication connection is established between the electronic device and the portable device; the above method further includes: the electronic device obtains the user's walking speed and/or distance within the fourth preset time from the portable device carried by the user ; Electronic equipment based on the muscle mass of the limbs, hand grip and lower limb strength, combined with the user’s age and gender, as well as the relationship between human muscle health and limb muscle mass, hand grip, lower limb strength, and age and gender.
  • Determining the user’s muscle health specifically including: the electronic device according to the muscle mass of the limbs, hand grip, lower limb strength, walking speed and/or distance within the fourth preset time, combined with the obtained user’s age and gender, and The relationship between human muscle health and limb muscle mass, hand grip strength, lower limb strength, walking speed and/or distance within the fourth preset time, and age and gender determine the user's muscle health.
  • the portable device that has established a communication connection with the electronic device measures the user's speed and/or distance while walking, so that the electronic device can quickly and conveniently complete the measurement of the user's cardiorespiratory endurance index. Improve user experience.
  • the method further includes: the electronic device determines the muscle mass, hand grip, and lower limb strength of the user. Corresponding results of at least one of the human muscle health and limb muscle mass, hand grip strength, lower limb strength, and age and gender of at least one of the upper arm tension are lower than the corresponding parameter threshold.
  • the electronic device determines the muscle mass, hand grip, and lower limb strength of the user. Corresponding results of at least one of the human muscle health and limb muscle mass, hand grip strength, lower limb strength, and age and gender of at least one of the upper arm tension are lower than the corresponding parameter threshold.
  • the user When one or more of the user’s upper arm pull, hand grip, or lower limb strength is lower than the standard, it can be predicted that the user may be at risk of sarcopenia.
  • communication with electronic devices can be further established
  • the connected portable device measures the user's speed and/or distance while walking in order to further determine whether the user is at risk of sarcopenia.
  • the above method further includes: when the electronic device detects that the user is standing on the bottom plate in the first state, detecting pressure distribution data through a pressure sensor provided on the bottom plate, and based on the detected pressure distribution The data acquires the balance ability of the user;
  • the above electronic equipment is based on the muscle mass of the limbs, hand grip and lower limb strength, combined with the user's age and gender, as well as the human muscle health and limb muscle mass, hand grip, lower limb strength, and The corresponding relationship between age and gender determines the user’s muscle health, including: electronic equipment based on the muscle mass of the limbs, hand grip, lower limb strength and balance ability, combined with the user’s age and gender, as well as the human muscle health and The muscle mass of the limbs, hand grip strength, lower limb strength, balance ability, and the corresponding relationship between age and gender determine the user’s muscle health; among them, the user’s standing in the first state includes the user’s standing on one leg with his eyes open, and one with his
  • the pressure sensor set on the bottom plate obtains the bottom plate pressure distribution data when the user performs operations such as standing with eyes open on one leg, standing with eyes closed on one leg, or standing on both legs with eyes closed, so that the user's balance ability index measurement can be completed quickly and conveniently. Improve user experience.
  • an electronic device in a second aspect, includes a handle, a bottom plate, and a processing unit.
  • the handle and the bottom plate are respectively provided with positive and negative plates and a pressure sensor; the pressure sensor on the handle is used to detect whether the handle of the electronic device is Hold by the user; and detect the pressure value of the handle when it is detected that the handle is firmly held by the user; the positive and negative plates are used to measure multiple human body impedance values; the pressure sensor on the bottom plate is used to detect when the user starts to squat up During testing or sitting and standing tests, the pressure value of the bottom plate is detected; the processing unit is used to obtain multiple human body impedance values measured by the positive and negative plates, and based on the multiple human body impedance values obtained by the measurement, determine the muscle mass of the user's limbs; obtain the handle The pressure sensor on the pressure sensor detects the pressure value of the handle to determine the user's hand grip; and, the pressure sensor on the bottom plate detects the pressure value of the bottom plate to determine the user
  • the technical solution provided by the above-mentioned second aspect uses an electronic device including a handle and a bottom plate to measure multiple human body impedance values through the positive and negative plates during the user's holding the handle, so as to obtain the muscle mass of the user's limbs;
  • the pressure value of the handle is measured by the pressure sensor on the handle to obtain the user's hand grip;
  • the pressure value of the bottom plate is measured by the pressure sensor on the bottom plate to get The user’s lower limb strength.
  • the above-mentioned handle is a pull-out handle, the handle is connected to the electronic device through an elastic component, and one end of the elastic component is also provided with a tension sensor; the tension sensor is used to detect that the user starts the tension test , Detect the tension value; the processing unit is also used to determine the user’s upper arm tension based on the detected tension value; the processing unit combines the acquired user’s age and gender according to the muscle mass of the limbs, hand grip and lower limb strength, As well as the corresponding relationship between human muscle health and limb muscle mass, hand grip strength, lower limb strength, as well as age and gender, determine the user's muscle health, including: the processing unit according to the limb muscle mass, hand grip strength, lower limb strength and upper arm Pull force, combined with the obtained user's age and gender, as well as the relationship between human muscle health and limb muscle mass, hand grip, lower limb strength, upper arm pull, and age and gender, determine the user's muscle health.
  • the tensile force value of the user during the tensile test is detected by the tensile force sensor provided at one end of the pull-out handle, so as to quickly and conveniently complete the measurement of the tensile force index of the user's upper arm. Improve user experience.
  • the above electronic device further includes: a prompt unit for prompting the user to pull out and retract the handle multiple times within the first preset time; when the tension sensor detects that the user starts the tensile test , Detect the tensile force value, specifically including: the tensile force sensor detects the tensile force value of the user during the tensile test after receiving the user's confirmation or after the preset time prompted; the processing unit determines the user's upper arm tensile force based on the tensile force value obtained by the detection , Specifically including: the processing unit determines the number of times the handle is pulled out and retracted within the first preset time based on the tensile force value during the user's tensile test; the processing unit is based on the handle being pulled out and retracted within the first preset time The number of times to determine the upper arm tension of the user. By detecting the number of times that the user can complete stretching within a preset time, the measurement of the user'sile force value, the
  • the above electronic device further includes: a prompting unit for prompting the user to complete the first preset number of handle pulling and retracting operations; the processing unit determines the upper arm of the user based on the obtained pulling force value
  • the pulling force specifically includes: the processing unit determines the time it takes for the handle to be pulled out and retracted by the user for the first preset number of times based on the pulling force value during the user's tensile test after receiving the user's confirmation or after the preset time prompted. And, based on the time it takes for the handle to be pulled out and retracted by the user for the first preset number of times, the upper arm tension of the user is determined. By detecting the time required for the user to complete the preset number of tensile tests, the user's upper arm tension index measurement can be completed quickly and conveniently. Improve user experience.
  • the electronic device further includes: a prompting unit for prompting the user to stand on the floor and stand up and squat down multiple times within the second preset time; the processing unit is based on the detected floor pressure value .
  • the determination of the user’s lower limb strength specifically includes: the processing unit determines the floor pressure value of the user during the squatting test after receiving the user’s confirmation or after the preset time of the prompt, and based on the acquired floor pressure value , Determine the number of times the user stands up and squat down within the second preset time; and, determine the user's lower limb strength based on the number of times the user stands up and squat down within the second preset time.
  • the user is prompted to use the bottom plate to perform stand-up and squat operations to assist the electronic device to obtain the user's lower limb strength, so that the electronic device can quickly and conveniently complete the measurement of the user's lower limb strength index. Improve user experience.
  • the electronic device further includes: a prompting unit for prompting the user to stand on the bottom plate and complete the second preset number of standing up and/or squatting operations; the pressure sensor on the bottom plate detects that When the user starts the squat test or the sitting and standing test, the floor pressure value is detected. Specifically, the pressure sensor on the floor detects the floor pressure of the user during the squat test after receiving the user's confirmation or after the preset time prompted.
  • the processing unit determines the user's lower limb strength based on the detected floor pressure value, which specifically includes: the processing unit determines the user to complete the second preset number of standing up and squatting based on the user's floor pressure value during the squatting test The processing unit determines the user’s lower limb strength based on the time the user completes the second preset number of standing up and squatting.
  • the user is prompted to use the bottom plate to perform stand-up and squat operations to assist the electronic device to obtain the user's lower limb strength, so that the electronic device can quickly and conveniently complete the measurement of the user's lower limb strength index.
  • Improve user experience is provided to use the bottom plate to perform stand-up and squat operations to assist the electronic device to obtain the user's lower limb strength, so that the electronic device can quickly and conveniently complete the measurement of the user's lower limb strength index.
  • the electronic device further includes: a prompting unit for prompting the user to stand on the bottom plate and stand up and sit down multiple times within the third preset time; the pressure sensor on the bottom plate detects When the user starts the squat test or the sitting-standing test, the floor pressure value is detected, which specifically includes: the pressure sensor on the floor detects the floor pressure of the user during the sitting-standing test after receiving the user's confirmation or after the preset time prompted.
  • the processing unit determines the user’s lower limb strength based on the detected floor pressure value, which specifically includes: the processing unit determines the user’s standing up and sitting within the third preset time based on the user’s floor pressure value during the sitting and standing test The number of downs; the processing unit determines the user's lower limb strength based on the number of times the user stands up and sits within the third preset time.
  • the electronic device further includes: a prompting unit for prompting the user to stand on the bottom plate and complete the third preset number of standing up and/or sitting down operations; the pressure sensor on the bottom plate is detecting When the user starts the squat test or the sitting and standing test, the pressure value of the bottom plate is detected, which specifically includes: the pressure sensor on the bottom plate detects that the user is in the sitting and standing test after receiving the user's confirmation or after the preset time of the prompt
  • the processing unit determines the user’s lower limb strength based on the detected floor pressure value, which specifically includes: the processing unit determines the user to complete the third preset number of standing ups based on the user’s floor pressure value during the sitting and standing test And the time to sit down; the processing unit determines the user’s lower limb strength based on the time the user completes the third preset number of standing up and squatting down.
  • the user is prompted to use the bottom plate to perform stand-up and sit-down operations to assist the electronic device to obtain the user's lower limb strength, so that the electronic device can quickly and conveniently complete the measurement of the user's lower limb strength index. Improve user experience.
  • a communication connection is established between the electronic device and the portable device; the electronic device further includes: a communication unit configured to obtain the user's walking speed and the walking speed within the fourth preset time from the portable device carried by the user / Or distance; the above processing unit is based on the muscle mass of the limbs, hand grip and lower limb strength, combined with the user's age and gender, as well as human muscle health and limb muscle mass, hand grip strength, lower limb strength, as well as age and gender To determine the user’s muscle health, specifically including: the processing unit based on the muscle mass of the limbs, hand grip strength, lower limb strength, walking speed and/or distance within the fourth preset time, combined with the acquired user’s age And gender, as well as the relationship between human muscle health and limb muscle mass, hand grip strength, lower limb strength, walking speed and/or distance within the fourth preset time, and age and gender to determine the user's muscle health.
  • the portable device that has established a communication connection with the electronic device measures the user's
  • the processing unit is further used to determine the muscle mass of the user’s limbs, At least one of hand grip strength, lower limb strength, and upper arm tension in the corresponding relationship between the human muscle health and limb muscle mass, hand grip strength, lower limb strength, and age and gender corresponds to a result that is lower than the corresponding parameter threshold .
  • the user’s upper arm pull, hand grip, or lower limb strength is lower than the standard, it can be predicted that the user may be at risk of sarcopenia.
  • communication with electronic devices can be further established The connected portable device measures the user's speed and/or distance while walking in order to further determine whether the user is at risk of sarcopenia.
  • the pressure sensor on the bottom plate is also used to detect pressure distribution data through the pressure sensor provided on the bottom plate when it is detected that the user is standing on the bottom plate in the first state; the processing unit is also used to, based on The pressure distribution data detected by the pressure sensor on the bottom plate obtains the user's balance ability; the processing unit is based on the muscle mass of the limbs, hand grip and lower limb strength, combined with the user's age and gender, as well as the body's muscle health and limb muscles Determine the user’s muscular health by measuring the weight, hand grip strength, lower limb strength, and the corresponding relationship between age and gender, including: the processing unit combines the acquired user’s muscle mass, hand grip strength, lower limb strength and balance Age and gender, as well as the relationship between human muscle health and limb muscle mass, hand grip strength, lower limb strength, balance ability, as well as age and gender, determine the user’s muscle health; among them, the user’s standing in the first state includes the user’s openness.
  • the pressure sensor set on the bottom plate obtains the bottom plate pressure distribution data when the user performs operations such as standing with eyes open on one leg, standing with eyes closed on one leg, or standing on both legs with eyes closed, so that the user's balance ability index measurement can be completed quickly and conveniently. Improve user experience.
  • an electronic device in a third aspect, includes: a memory for storing computer program code, the computer program code includes instructions; a processor for executing the above instructions, so that the electronic device executes any of the first aspects
  • a computer-readable storage medium stores computer-executable instructions.
  • the detection as in any one of the possible implementation manners of the first aspect is implemented.
  • a chip system in a fifth aspect, includes a processor and a memory, and instructions are stored in the memory; A method to detect the health of human muscles.
  • the chip system can be composed of chips, or it can include chips and other discrete devices.
  • a computer program product which when running on a computer, enables the method for detecting human muscle health as in any possible implementation manner of the first aspect.
  • FIG. 1 is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the application.
  • FIG. 2 is a schematic diagram of the morphological structure of three electronic devices provided by the embodiments of this application;
  • FIG. 3 is a schematic diagram of a cross-sectional structure of a handle provided by an embodiment of the application.
  • FIG. 4 is a schematic diagram of the transition process between the retractable handle and the pulled-out state provided by an embodiment of the application;
  • FIG. 5 is a first flowchart of a method for detecting human muscle health provided by an embodiment of this application
  • FIG. 6 is a schematic diagram of the principle of an application responding to a user's holding operation according to an embodiment of the application;
  • FIG. 7 is a schematic diagram of human body impedance according to an embodiment of the application.
  • FIG. 8 is a schematic diagram of six types of impedance measured by an electronic device provided by an embodiment of the application.
  • FIG. 9 is a schematic diagram of two operations for assisting an electronic device to determine a user's lower limb strength provided by an embodiment of the application.
  • FIG. 10 is a second flowchart of a method for detecting human muscle health provided by an embodiment of this application.
  • FIG. 11 is a third flowchart of a method for detecting human muscle health provided by an embodiment of this application.
  • FIG. 12 is a fourth flowchart of a method for detecting human muscle health provided by an embodiment of this application.
  • FIG. 13 is a pressure distribution diagram detected by the pressure film when a user closes his eyes and stands on a bottom plate with one leg according to an embodiment of the application;
  • FIG. 14 is a structural block diagram of an electronic device provided by an embodiment of this application.
  • 15 is a structural block diagram of another electronic device provided by an embodiment of this application.
  • FIG. 16 is a structural block diagram of still another electronic device provided by an embodiment of this application.
  • FIG. 17 is a schematic structural diagram of an electronic device provided by an embodiment of the application.
  • An embodiment of the present application provides an electronic device, which can be used to detect a user's muscle health index. So that users can understand their muscle health and take corresponding measures to prevent problems before they happen.
  • the user’s muscle health indicators include but are not limited to one of the user’s limb muscle mass, the user’s hand grip, the user’s upper arm pull, the user’s lower limb strength, the user’s cardiorespiratory endurance, or the user’s balance ability. Or multiple.
  • the muscle mass of the user's limbs can be calculated by applying a small current to the user's hands and feet, based on multiple impedance values between the limbs.
  • the user's hand grip can be calculated by detecting the deformation of the object when the user grips the object hard.
  • the user's upper arm tension can be calculated by detecting the force on the object when the user stretches the object.
  • the user's lower limb strength can be calculated by detecting the user's foot pressure during a "sit up" test or a "squat up” test.
  • the user's physical fitness can be calculated by detecting the user's pace when the user is walking or running and other physical fitness items.
  • the user's cardiorespiratory endurance can be calculated by detecting one or more of the user's exercise speed, exercise distance, and heart rate during exercise when the user is walking or running and other physical fitness items.
  • the user's balance ability can be calculated by detecting the pressure distribution of the user's feet when the user is standing on one leg or standing with eyes closed.
  • the "sit up” test refers to a test in which the user stands up and sits down many times.
  • the “squat up” test refers to a test where the user stands up and squats down multiple times.
  • the electronic device 100 may include a base plate 101, a handle 102, a processor 103, a charging management module 104, a battery 105, and a power source.
  • the management module 106 the speaker 107, and the display 108.
  • four electrodes including a first positive electrode, a first negative electrode, a second positive electrode, and a second negative electrode
  • a first sensor module 109 are provided on the bottom plate 101.
  • the handle 102 is provided with four electrodes (including a third positive electrode, a third negative electrode, a fourth positive electrode, and a fourth negative electrode), and a second sensor module 110.
  • the first positive electrode and the first negative electrode are arranged on the bottom plate 101 where the user can stand on the left foot; the second positive electrode and the second negative electrode are arranged on the bottom plate 101 where the user can stand on the right foot.
  • the first positive electrode and the first negative electrode are provided on the bottom plate 101 where the user can stand on their right foot; the second positive electrode and the second negative electrode are provided on the bottom plate 101 where the user can stand on the left foot.
  • the handle 102 includes a first handle 1021 and a second handle 1022.
  • the first handle 1021 is for the user's left hand to hold
  • the second handle 1022 is for the user's right hand to hold. As shown in FIG.
  • the third positive electrode and the third negative electrode are arranged on the first handle 1021; the fourth positive electrode and the fourth negative electrode are arranged on the second handle 1022.
  • the third positive electrode and the third negative electrode are arranged on the second handle 1022; the fourth positive electrode and the fourth negative electrode are arranged on the first handle 1021.
  • the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on the electronic device 100.
  • the electronic device 100 may include more or fewer components than those shown in the figure, or combine certain components, or split certain components, or arrange different components.
  • the illustrated components can be implemented in hardware, software, or a combination of software and hardware.
  • the first positive electrode, the first negative electrode, the second positive electrode, the second negative electrode, the third positive electrode, the third negative electrode, the fourth positive electrode, and the fourth negative electrode are respectively used to load a small current on the user's feet and hands. , So as to assist the electronic device 100 to obtain the muscle mass of the user's limbs.
  • the first sensor module 109 may include one or more sensors. In the embodiment of the present application, the first sensor module 109 may include one or more pressure sensors. Alternatively, in some embodiments, the first sensor module 109 may include a pressure membrane. In the embodiment of the present application, the first sensor module 109 is used to detect the pressure exerted by the user's feet on the bottom plate 101 during a test process such as a "sit-up" test or a "squat-up" test performed by the user.
  • the pressure sensor or pressure film on the bottom plate is used to sense the pressure signal and can convert the pressure signal into an electrical signal.
  • pressure sensors and pressure films such as resistive pressure sensors/resistive pressure films, inductive pressure sensors/inductive pressure films, capacitive pressure sensors/capacitive pressure films, etc.
  • the capacitive pressure sensor/capacitive pressure film may include at least two parallel plates with conductive material. When a force is applied to the pressure sensor/pressure film, the capacitance between the electrodes changes.
  • the electronic device 100 determines the intensity of the pressure according to the change in capacitance. In the embodiment of the present application, when pressure acts on the bottom plate 101, the electronic device 100 detects the pressure intensity through the pressure sensor/pressure film.
  • the electronic device 100 can also detect the pressure applied position on the bottom plate 101 based on the pressure sensor/pressure film.
  • the second sensor module 110 includes one or more sensors and deformable materials.
  • the first sensor module 109 may include a touch sensor, a tension sensor 113, and one or more pressure sensors or pressure films.
  • the first sensor module 109 is used to detect whether the handle 102 is held by the user, and to detect the pressure exerted by the user's hand on the handle 102 when the user holds the handle 102 hard; or the user has repeatedly The pulling force exerted by the user on the handle 102 during tests such as pulling out and retracting the handle 102.
  • Touch sensor also called “touch device”.
  • the touch sensor can be used to detect touch operations acting on or near it.
  • the touch sensor may be provided on the outer surface of the handle 102.
  • the touch sensor detects that the user's hand touches the handle 102, the detected touch operation can be transmitted to the application processor to determine the type of the touch event.
  • the deformable material can be deformable rubber or plastic.
  • the deformable material may be arranged outside the pressure sensor or the pressure membrane.
  • the deformable material can wrap the pressure sensor/pressure film in it. The deformable material is used to measure the pressure exerted on the handle 102 in cooperation with the pressure sensor/pressure film.
  • the pressure sensor or the pressure film is used to sense the pressure signal and can convert the pressure signal into an electrical signal.
  • Pressure sensors and pressure membranes can also be resistive, inductive or capacitive, etc.
  • the deformable material when pressure acts on the handle 102, the deformable material will deform.
  • the deformation of the deformable material is detected by the pressure sensor/pressure film, it can be converted into a pressure value by the electronic device 100.
  • the electronic device 100 can also obtain the pressure application position on the handle 102 according to the deformation position distribution of the deformable material.
  • the tension sensor 113 is also called a resistance strain sensor.
  • the tension sensor 113 can convert a physical signal into an electrical signal for accurate measurement.
  • the tension sensor can be based on such a principle: the elastic body (elastic element, sensitive beam) produces elastic deformation under the action of external force, so that the resistance strain gauge (conversion element) pasted on its surface also deforms. After the resistance strain gauge is deformed, it The resistance value will change (increase or decrease), and then the resistance change will be converted into an electrical signal (voltage or current) by the corresponding measuring circuit, thus completing the process of transforming the external force into an electrical signal.
  • the processor 103 may include one or more processing units.
  • the processor 103 may include an application processor (AP), a modem processor, a graphics processing unit (GPU), and an image signal processor. (image signal processor, ISP), controller, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU), etc.
  • AP application processor
  • modem processor modem processor
  • GPU graphics processing unit
  • image signal processor image signal processor
  • ISP image signal processor
  • controller video codec
  • digital signal processor digital signal processor
  • DSP digital signal processor
  • NPU neural-network processing unit
  • the different processing units may be independent devices or integrated in one or more processors.
  • the controller can generate operation control signals according to the instruction operation code and timing signals to complete the control of fetching instructions and executing instructions.
  • a memory may also be provided in the processor 103 for storing instructions and data.
  • the memory in the processor 103 is a cache memory.
  • the memory can store instructions or data that the processor 103 has just used or cyclically used. If the processor 103 needs to use the instruction or data again, it can be directly called from the memory. Repeated accesses are avoided, the waiting time of the processor 103 is reduced, and the efficiency of the system is improved.
  • the memory may include an external memory interface and an internal memory.
  • the external memory interface is used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100.
  • the external memory card communicates with the processor 103 through an external memory interface to realize the data storage function. For example, save music, video and other files in an external memory card.
  • the internal memory may be used to store computer executable program code, the executable program code including instructions.
  • the internal memory can include a program storage area and a data storage area.
  • the storage program area can store an operating system, an application program (such as a sound playback function, an image playback function, etc.) required by at least one function, and the like.
  • the data storage area can store data (such as audio data, phone book, etc.) created during the use of the electronic device 100.
  • the internal memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (UFS), and the like.
  • the processor 103 executes various functional applications and data processing of the electronic device 100 by running instructions stored in an internal memory and/or instructions stored in a memory provided in the processor.
  • the processor 103 may include one or more interfaces.
  • the interface may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, and a universal asynchronous transmitter/receiver (universal asynchronous) interface.
  • I2C integrated circuit
  • I2S integrated circuit built-in audio
  • PCM pulse code modulation
  • PCM pulse code modulation
  • UART universal asynchronous transmitter/receiver
  • MIPI mobile industry processor interface
  • GPIO general-purpose input/output
  • SIM subscriber identity module
  • USB Universal Serial Bus
  • the one or more interfaces listed above in the embodiment of the present invention are only examples, and do not constitute a structural limitation of the electronic device 100.
  • the electronic device 100 may also be connected to various modules of the electronic device 100 using different and listed above-mentioned interfaces.
  • the charging management module 104 is used to receive charging input from the charger.
  • the charger can be a wireless charger or a wired charger.
  • the charging management module 104 may receive the charging input of the wired charger through the USB interface.
  • the charging management module 104 may receive a wireless charging input through the wireless charging coil of the electronic device 100. While the charging management module 104 charges the battery 105, it can also supply power to the electronic device 100 through the power management module 106.
  • the power management module 106 is used to connect the battery 105, the charging management module 104 and the processor 103.
  • the power management module 106 receives input from the battery 105 and/or the charging management module 104, and supplies power to the processor 103, internal memory, and the like.
  • the power management module 106 can also be used to monitor parameters such as battery capacity, battery cycle times, and battery health status (leakage, impedance).
  • the power management module 106 may also be provided in the processor 103.
  • the power management module 106 and the charging management module 104 may also be provided in the same device.
  • the electronic device 100 may further include a wireless communication module 111 and a mobile communication module 112.
  • the wireless communication module 111 is used to communicate with a portable device (such as a mobile phone, a smart bracelet or a smart watch, etc.) to obtain the user's exercise parameters detected by the portable device, so as to obtain the user's cardiorespiratory endurance.
  • the communication device is also used to send the muscle health indicators measured by the electronic device 100 to the portable device for the portable device to evaluate the muscle health indicators to obtain the user's muscle health.
  • the wireless communication function of the electronic device 100 can be implemented by the antenna 1, the antenna 2, the mobile communication module 112, the wireless communication module 111, the modem processor, and the baseband processor.
  • the antenna 1 and the antenna 2 are used to transmit and receive electromagnetic wave signals.
  • Each antenna in the electronic device 100 can be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization.
  • Antenna 1 can be multiplexed as a diversity antenna of a wireless local area network.
  • the antenna can be used in combination with a tuning switch.
  • the mobile communication module 112 may provide a wireless communication solution including 2G/3G/4G/5G and the like applied to the electronic device 100.
  • the mobile communication module 112 may include at least one filter, switch, power amplifier, low noise amplifier (LNA), and so on.
  • the mobile communication module 112 can receive electromagnetic waves by the antenna 1, and perform processing such as filtering, amplifying and transmitting the received electromagnetic waves to the modem processor for demodulation.
  • the mobile communication module 112 can also amplify the signal modulated by the modem processor, and convert it to electromagnetic wave radiation via the antenna 1.
  • at least part of the functional modules of the mobile communication module 112 may be provided in the processor 103.
  • at least part of the functional modules of the mobile communication module 112 and at least part of the modules of the processor 103 may be provided in the same device.
  • the modem processor may include a modulator and a demodulator.
  • the modulator is used to modulate the low frequency baseband signal to be sent into a medium and high frequency signal.
  • the demodulator is used to demodulate the received electromagnetic wave signal into a low-frequency baseband signal.
  • the demodulator then transmits the demodulated low-frequency baseband signal to the baseband processor for processing.
  • the application processor After the low-frequency baseband signal is processed by the baseband processor, it is passed to the application processor.
  • the application processor outputs a sound signal through an audio device (such as a speaker 107, etc.). Alternatively, an image or video is displayed through the display 108.
  • the modem processor may be an independent device.
  • the modem processor may be independent of the processor 103 and be provided in the same device as the mobile communication module 112 or other functional modules.
  • the wireless communication module 111 can provide applications on the electronic device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), and global navigation satellites.
  • WLAN wireless local area networks
  • BT wireless fidelity
  • GNSS global navigation satellite system
  • FM frequency modulation
  • NFC near field communication technology
  • infrared technology infrared, IR
  • the wireless communication module 111 may be one or more devices integrating at least one communication processing module.
  • the wireless communication module 111 receives electromagnetic waves via the antenna 2, frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 103.
  • the wireless communication module 111 can also receive a signal to be sent from the processor 103, perform frequency modulation, amplify it, and convert it into electromagnetic waves to radiate through the antenna 2.
  • the antenna 1 of the electronic device 100 is coupled with the mobile communication module 112, and the antenna 2 is coupled with the wireless communication module 111, so that the electronic device 100 can communicate with the network and other devices through wireless communication technology.
  • the wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband Code division multiple access (wideband code division multiple access, WCDMA), time-division code division multiple access (TD-SCDMA), long term evolution (LTE), BT, GNSS, WLAN, NFC , FM, and/or IR technology, etc.
  • the GNSS may include global positioning system (GPS), global navigation satellite system (GLONASS), Beidou navigation satellite system (BDS), quasi-zenith satellite system (quasi -zenith satellite system, QZSS) and/or satellite-based augmentation systems (SBAS).
  • GPS global positioning system
  • GLONASS global navigation satellite system
  • BDS Beidou navigation satellite system
  • QZSS quasi-zenith satellite system
  • SBAS satellite-based augmentation systems
  • the electronic device 100 implements a display function through a GPU, a display screen 108, an application processor, and the like.
  • the GPU is a microprocessor for image processing, which is connected to the display screen 108 and the application processor.
  • the GPU is used to perform mathematical and geometric calculations and is used for graphics rendering.
  • the processor 103 may include one or more GPUs, which execute program instructions to generate or change display information.
  • the display screen 108 is used to display images, videos, and the like.
  • the display screen 108 includes a display panel.
  • the display panel can use liquid crystal display (LCD), organic light-emitting diode (OLED), active matrix organic light-emitting diode or active-matrix organic light-emitting diode (active-matrix organic light-emitting diode).
  • LCD liquid crystal display
  • OLED organic light-emitting diode
  • active-matrix organic light-emitting diode active-matrix organic light-emitting diode
  • AMOLED flexible light-emitting diode
  • FLED flexible light-emitting diode
  • Miniled MicroLed, Micro-oLed, quantum dot light emitting diode (QLED), etc.
  • the electronic device 100 may prompt the user to perform a specified action such as a tensile test, a sitting-up test, or a standing-up test through the display screen 108, and prompt the user to perform the number/duration.
  • a specified action such as a tensile test, a sitting-up test, or a standing-up test through the display screen 108.
  • the speaker 107 also called “speaker” is used to convert audio electrical signals into sound signals.
  • the electronic device 100 can prompt the user to perform a specified action such as a tensile test, a sitting-up test, or a standing-up test through the speaker 107, and prompt the user to perform the number/duration.
  • FIG. 2 shows a schematic diagram of the morphological structure of three types of electronic devices 100 provided in the present application.
  • the electronic device 100 includes a bottom plate 101, a handle 102 (including a first handle 1021 and a second handle 1022) and a bracket 201.
  • a handle 102 including a first handle 1021 and a second handle 1022
  • a bracket 201 is connected to the bottom plate 101.
  • one end of the bracket 201 is connected to the bottom plate 101.
  • the other end of the bracket is connected with the handle 102.
  • the bottom plate 101 is provided with a first positive electrode 202, a first negative electrode 203, a second positive electrode 204, and a second negative electrode 205.
  • the bottom plate 101 is also provided with a pressure sensor or a pressure film (not shown in (a) in FIG. 2 and (b) in FIG. 2).
  • the handle 102 is provided with a third positive electrode 206, a third negative electrode 207, a fourth positive electrode 208, and a fourth negative electrode 209.
  • the handle 102 is also provided with a deformable material, a touch sensor, a pressure sensor or a pressure film (not shown in Figure 2 (a) and Figure 2 (b)).
  • the structure of the handle 102 can refer to the schematic cross-sectional structure of the handle shown in FIG. 3.
  • the handle 102 is provided with a touch sensor 105A, a positive electrode sheet (such as the third positive electrode 206 or the fourth positive electrode 208), and a negative electrode sheet (such as the third negative electrode 207 or the fourth negative electrode 209) at a position close to the outer surface of the handle 102.
  • the handle 102 is also provided with a pressure sensor or a pressure membrane.
  • the deformable material fills the rest of the handle 102.
  • the pressure sensor or the pressure film can obtain the applied force (including the applied position and size of the applied example) according to the deformation of the deformed material caused by the force applied to the deformed material.
  • the touch sensor 105A, the pressure sensor 105B or the pressure film 105C please refer to the introduction of FIG. 2 above, and will not be repeated here.
  • the specific implementation details of the above-mentioned parts in the muscle health index test process will be specifically expanded below.
  • the difference between (a) in FIG. 2 and (b) in FIG. 2 is that the electronic device 100 shown in (a) in FIG. 2 does not include a display screen, but includes a speaker 107.
  • the speaker 107 may be used to prompt the user to perform a specified operation (such as the first operation or the second operation, etc.).
  • the electronic device 100 shown in (a) of FIG. 2 does not include a speaker, but includes a display screen 108.
  • the display screen 108 may be used to prompt the user to perform a specified operation (such as the first operation or the second operation, etc.), and, in some cases, the display screen 108 may also be used to show the user's human muscles analyzed by the electronic device 100 Health level.
  • the handle 102 shown in Fig. 2(a) and Fig. 2(b) may be a pull-out handle.
  • the pull-out handle is used for the user to pull out and retract, so as to determine the user's upper arm tension and other muscle indicators.
  • Figure 2 (a) and Figure 2 (b) show the state when the pullable handle is retracted.
  • FIG. 4 takes the pull-out handle of the electronic device shown in (a) of FIG. 2 as an example, showing two state transition processes of the pull-out handle.
  • the handle 102 may be connected to the electronic device 100 through an elastic member.
  • a tension sensor 113 is provided at one end of the elastic member.
  • the electronic device 100 may also have other morphological structures.
  • the electronic device 100 may also include both a speaker 107 and a display 108.
  • the electronic device 100 may also have a structure as shown in (c) in FIG. 2. That is, the electronic device 100 only includes a bottom plate 101, a pull-out handle 102, and a speaker 107. Wherein, the pull-out handle 102 is connected to the bottom plate 101; the speaker 107 is arranged on the bottom plate 101.
  • the electronic device 100 may also have other morphological structures, and the present application does not specifically limit the specific morphological structure of the electronic device 100.
  • the embodiment of the present application provides a method for detecting human muscle health.
  • the method can be used to obtain the muscle health index of the tested person (hereinafter referred to as the user), so as to evaluate the user's human muscle health according to the user's muscle health index, so as to Users can understand their muscle health in real time and take precautions.
  • the method can be achieved by electronic devices having the morphological structure shown in Figure 2 (a), Figure 2 (b) or Figure 2 (c) or similar morphological structures, and having the hardware structure shown in Figure 1 or similar hardware structures.
  • the device 100 is implemented.
  • the electronic device 100 having the hardware structure shown in FIG. 1 is taken as an example to specifically introduce the method for detecting human muscle health provided by the embodiment of the present application.
  • the handle 102 of the electronic device 100 is a pull-out handle.
  • the method for detecting human muscle health may include the following steps S501-S504:
  • the electronic device 100 detects that the handle 102 is held by the user, it measures multiple human body impedance values through the handle and the positive and negative plates provided on the bottom plate, and based on the multiple human body impedance values obtained by the measurement.
  • the impedance value determines the muscle mass of the user's limbs.
  • the electronic device 100 may determine that the handle 102 is held by the user when the pressure sensor 105B provided on the handle 102 detects that the handle 102 is held by the user for longer than a preset period of time (for example, 3 seconds).
  • the touch sensor 105A can detect when the user holds the handle 102 by hand.
  • the touch sensor 105A will report the touch event it detects to the application layer so that the application layer can respond to the touch event.
  • FIG. 6 shows a schematic diagram of a principle of an application responding to a user's holding operation.
  • the handle 102 reports to the kernel layer 610 the touch events (such as the position of the touch point, the intensity of the touch operation, and the touch Parameters such as operating time).
  • the kernel layer 610 can encapsulate the gripping event and call the corresponding application program interface (Application Program Interface, API) 620 to the application layer 630 for detecting human muscle health (hereinafter referred to as "muscle health detection application"). ) Distribute the holding event so that the muscle health detection application can respond to the holding event.
  • API Application Program Interface
  • the muscle mass of the limbs may be represented by a lean mass index (LMI).
  • LMI lean mass index
  • the LMI of the limbs can be calculated based on the total muscle mass and height of the limbs.
  • the LMI of the limbs is equal to the ratio of the total muscle mass of the limbs to the square of the height.
  • the muscle mass of the limbs can also be expressed by body mass index (BMI) and body fat index (FMI).
  • BMI body mass index
  • FMI body fat index
  • BMI body mass index
  • BMI body mass index
  • FMI body fat index
  • the muscle mass of the limbs can also be expressed by other parameters, which are not limited in the embodiment of the present application.
  • the response of the electronic device 100 to the holding event may at least include the following steps (1) and (2):
  • Step (1) The electronic device 100 starts the muscle health detection application.
  • Step (2) the electronic device 100 calls the power management module 106 and the battery 105, and loads a small current into the palm of the user through the third positive electrode, the third negative electrode, the fourth positive electrode, and the fourth negative electrode on the first handle 1021 and the second handle 1022 .
  • a small current is applied to the sole of the user through the first positive electrode, the first negative electrode, the second positive electrode, and the second negative electrode on the bottom plate 101.
  • the electronic device 100 After the electronic device 100 performs the above steps (1) and (2), the electronic device 100 performs the following steps (3) to (5) to obtain the muscle mass of the user's limbs:
  • Step (3) the electronic device 100 calculates the voltage values between the user's left hand to right hand, left hand to right foot, left hand to left foot, right hand to left foot, right hand to right foot, and left foot to right foot, respectively Get multiple impedance values.
  • Figure 7 shows a schematic diagram of human body impedance.
  • the impedance value of the left upper limb is Z LH
  • the impedance value of the right upper limb is Z RH
  • the impedance value of the left lower limb is Z LF
  • the impedance value of the right lower limb is Z RF
  • the impedance value of the trunk is Z T.
  • the electronic device 100 can calculate the voltage values between the user's left hand to right hand, left hand to right foot, left hand to left foot, right hand to left foot, right hand to right foot, and left foot to right foot, respectively, as shown in Figure 8.
  • Z LHRH is the impedance value between the left hand and the right hand.
  • Z LHRF is the impedance value between the left hand and the right foot.
  • Z LHLF is the impedance value from the left hand to the left foot.
  • Z RHLF is the impedance value between the right hand and the left foot.
  • Z RHRF is the impedance value between the right hand and the right foot.
  • Z LFRF is the impedance value between the left foot and the right foot.
  • Step (4) The electronic device 100 calculates the impedance values of the upper left limb, the upper right limb, the lower left limb, the lower right limb, and the trunk according to the foregoing multiple impedance values.
  • Step (5) the electronic device 100 uses the empirical model based on the impedance values of the upper left limb, upper right limb, lower left limb, lower right limb, and torso, combined with the user’s height, weight, age, gender, etc., to obtain information about the user’s limbs and torso. Muscle mass.
  • the empirical model may be any empirical model in conventional technology, which is not limited in the embodiment of the present application.
  • the muscle mass y of the user's limbs can be calculated using the following empirical model:
  • Ht is the height of the user.
  • Wt is the weight of the user.
  • A is the age of the user.
  • G is the user's gender.
  • a1, a2, a3, a4, a5, a6 and a7 are empirical parameters.
  • bioimpedance analysis BIA method introduced in the above steps (1) to (5) is only used as an example of a method for the electronic device 10 to obtain the muscle mass of the user's limbs.
  • the method and method are not specifically limited. Any conventional method and method for obtaining the muscle mass of the user's limbs can be applied to the method for detecting the health of human muscles provided in this application.
  • the electronic device 100 can detect, according to the pressure sensor 105B set on the handle 102, that the pressure value applied by the user's hand on the handle 102 is greater than a preset threshold (such as 25kg), and the handle 102 is held by the user. When the duration exceeds the preset duration (for example, 3 seconds), it is determined that the user holds the handle 102 forcefully.
  • a preset threshold such as 25kg
  • the electronic device 100 may prompt the user to firmly hold the handle 102 with both hands at the same time; it may also prompt the user to first firmly hold the corresponding handle with one palm, and then prompt the user to firmly hold the corresponding handle with the other palm.
  • the electronic device 100 may also display multiple options on the display screen and prompt the user to select simultaneous measurement or one-by-one measurement.
  • the handle pressure value detected by the electronic device 100 through the pressure sensor 105B/pressure film 105C provided on the handle 102 may be the average pressure (or peak pressure) during the process of the user holding the handle 102 hard.
  • the pressure change detected by the pressure sensor 105B/pressure film 105C is: pressure value A ⁇ increase ⁇ pressure value A.
  • the electronic device 100 can determine that the hand grip test is turned on.
  • the electronic device 100 can determine that the hand grip strength test is over.
  • the above step S503 may include: the electronic device 100 may prompt the user to stand on the bottom plate 101 and stand up and squat down multiple times within the second preset time. After the electronic device 100 receives the user's confirmation or after the prompt preset time, it detects the number of times the user stands up and squats down within the second preset time. Then, the electronic device 100 determines the user's lower limb strength based on the detected number of times the user stands up and squats.
  • FIG. 9 shows two schematic diagrams of operations for assisting the electronic device 100 in determining the strength of the user's lower limbs.
  • the user initially stands on the bottom plate 101, and then the user transitions from the standing state to the squatting state.
  • the electronic device 100 continuously detects the magnitude of the pressure it receives and the position where the pressure is applied through the pressure sensor (or pressure film) provided on the bottom plate 101.
  • the electronic device 100 may prompt the user to stand up and squat down multiple times within the second preset time, so that the second preset time period is reasonable (for example, enough for the user to complete multiple standing up and squatting tests) ), the user's lower limb muscle endurance can be combined to evaluate the user's lower limb strength.
  • the above step S503 may include: the electronic device 100 may prompt the user to stand on the bottom plate 101 and complete the standing up and/or squatting operations for a second preset number of times. After the electronic device 100 receives the user's confirmation or after the preset time prompted, it detects the time for the user to finish standing up and squatting down for the second preset number of times. Then, the electronic device 100 determines the user's lower limb strength based on the detected time for the user to complete the second preset number of standing up and squatting.
  • the electronic device 100 may prompt the user to complete the second preset number of standing up and/or squatting operations, so that multiple detection results can be combined to comprehensively evaluate the user's lower limb strength.
  • the above step S503 may include: the electronic device 100 prompts the user to stand on the bottom plate 101 and stand up and sit down multiple times within the third preset time. After the electronic device 100 receives the user's confirmation or after the prompt preset time, the number of times the user stands up and sits down within the third preset time is detected. Then, the electronic device 100 determines the user's lower limb strength based on the detected number of times the user stands up and sits down within the third preset time.
  • the user initially stands on the bottom plate 101, and then the user transitions from the standing state to the sitting state on the stool.
  • the electronic device 100 continuously detects the magnitude of the pressure it receives and the position where the pressure is applied through the pressure sensor (or pressure film) provided on the bottom plate 101.
  • the electronic device 100 may prompt the user to stand up and sit down multiple times within the third preset time, so that the third preset time period is reasonable (for example, enough for the user to complete multiple standing up and sitting down tests) ), the user's lower limb muscle endurance can be combined to evaluate the user's lower limb strength.
  • the above step S503 may include: the electronic device 100 prompts the user to stand on the bottom plate 101 to complete the third preset number of standing up and/or sitting down operations. After the electronic device 100 receives the user's confirmation or after the preset time prompted, it detects the time for the user to complete the third preset number of standing up and sitting down. Then, the electronic device 100 determines the user's lower limb strength based on the detected time for the user to complete the third preset number of standing up and squatting down.
  • the electronic device 100 may prompt the user to complete the third preset number of standing up and/or sitting down operations, so that multiple detection results can be combined to comprehensively evaluate the user's lower limb strength.
  • (a) in Figure 9 above is an example of the user transitioning from the state of standing on the floor 101 to the state of squatting on the floor 101
  • (b) in Figure 9 is that the user is standing on the The state on the bottom plate 101 is changed to the state of sitting on a stool as an example.
  • the electronic device 100 may also prompt the user to switch from the state of squatting on the bottom plate 101 to the state of standing on the bottom plate 101, or from the state of sitting on a stool to the state of standing on the bottom plate 101.
  • the electronic device 100 may also prompt the user to switch from a state of standing on the ground to a state of sitting on the bottom plate 101 placed on a stool, etc.
  • the embodiment of the present application does not specifically limit the specific form of the operation for assisting the electronic device 100 to determine the user's lower limb strength.
  • the electronic device 100 determining the user's lower limb strength may include the following processes:
  • the first step the electronic device 100 records the steady state pressure value measured by the pressure sensor (or pressure membrane).
  • the pressure value of the user in a stable state measured by the pressure sensor (or pressure film) is when the user is standing on the bottom plate 101 (state 1 as shown in (b) in Figure 9), and the sole of the user is applied to the bottom plate 101
  • the pressure value is basically the same as the weight of the user.
  • the pressure value measured by the pressure sensor (or pressure film) in a stable state may also be when the user is sitting on a stool with the soles of the feet on the bottom plate 101 (state 2 as shown in (b) in Figure 9), The pressure value of the sole of the user's foot on the bottom plate 101.
  • Step 2 The electronic device 100 starts timing and continuously records the pressure value detected by the pressure sensor (or pressure film) during the user's standing up and squatting operations.
  • Step 3 The electronic device 100 determines that the user has completed the standing up and squatting operations.
  • the electronic device 100 determines that the end of the second preset time is the time for the user to complete the standing up and squatting operations. time. For the case where the standing up and squatting operations are the second preset number of standing up and/or squatting operations completed by the user, the electronic device 100 determines the moment when the user completed the last squat for the second preset number of times as the user completing the standing The moments of up and squat operations. Wherein, when the electronic device 100 detects that the pressure value gradually increases until it becomes stable, it is considered that the user is squatting.
  • the electronic device 100 can also use a process similar to the first step to the third step to obtain the user's lower limb strength.
  • the only difference is that for the process of standing ⁇ sitting, the pressure value changes from stable ⁇ gradually increasing ⁇ suddenly decreasing; for the process of standing ⁇ squatting, the pressure value changes from stable ⁇ gradually increasing ⁇ steady.
  • the electronic device 100 when the electronic device 100 detects that the user starts the squat test or the sitting-to-stand test, it detects the bottom plate pressure value through the pressure sensor provided on the bottom plate 101, and based on the bottom plate pressure value obtained by the detection, can also determine the user’s Explosive power of the lower limbs. Specifically, when the electronic device 100 detects that the user starts the squat test or the sitting-stand test, it can detect the average pressure (or peak pressure) and the average pressure change rate (or peak pressure change rate) through the pressure sensor provided on the bottom plate 101. )Wait. Through the average pressure change rate (or peak pressure change rate), combined with the average pressure (or peak pressure), the explosive power of the user's lower limbs can be evaluated.
  • the electronic device 100 is based on the muscle mass of the limbs, hand grip and lower limb strength, combined with the obtained user's age and gender, as well as the correspondence between human muscle health and limb muscle mass, hand grip strength, lower limb strength, and age and gender. Relationship to determine the user’s muscle health.
  • the electronic device 100 may have pre-stored evaluation criteria for each muscle health index.
  • the electronic device 100 can evaluate each muscle health index of the user according to the pre-stored evaluation criteria for each muscle health index.
  • the status of the muscle mass of the limbs can be evaluated according to the evaluation standard of the muscle mass of the limbs (unit: %) shown in Table 1 below:
  • the user's hand grip strength can be evaluated according to the hand grip strength (unit: kilogram (kg)) evaluation standard shown in Table 2 below:
  • the evaluation criteria of the user's lower limb strength reference may be made to the evaluation criteria of the muscle mass of the user's limbs or the user's hand grip in the embodiment of the present application.
  • the user's lower limb strength is evaluated according to the time standard required to complete the preset number of sitting and standing tests (stand up test), or the number of times of sitting and standing tests (stand up test) performed within the preset time.
  • Table 1 and Table 2 are only examples, and the embodiment of the present application does not specifically limit the evaluation criteria of muscle health indicators.
  • the evaluation criteria are not limited to the two dimensions of age and gender, but may also include dimensions such as height and weight.
  • the parameter ranges corresponding to different scores can also be adjusted according to the actual situation.
  • the electronic device 100 comprehensively determines the user's muscle health level according to the evaluation result of a muscle health index. For example, if the user's limb muscle mass score is low (for example, less than 2 points), it can be considered that the user is at risk of sarcopenia. If the user's limb muscle mass score is low (for example, less than 2 points), and the user's lower limb strength score is low (for example, less than 2 points), it can be considered that the user's limbs are weak.
  • the electronic device 100 may also convert the user's muscle health into a "muscle health age” that matches the muscle health. The closer the "muscle health age” is to 20-30 years old, the better the muscle health.
  • the electronic device 100 may also send the detection results of the aforementioned limb muscle mass, hand grip strength, and lower limb strength to a portable device connected to the electronic device 100, for the portable device to use the aforementioned limb muscle mass, hand grip strength And lower limb strength, combined with the obtained user's age and gender, as well as the relationship between human muscle health and limb muscle mass, hand grip, lower limb strength, as well as age and gender, determine the user's muscle health.
  • the portable device may pre-store the evaluation criteria for each muscle health index.
  • the portable device can evaluate the user's muscle health index according to the pre-stored evaluation criteria for each muscle health index, and obtain the user's muscle health degree.
  • the method may further include the following step S1001:
  • the electronic device 100 detects that the user starts the tensile test, it detects the tensile force value through the tensile force sensor 113, and determines the upper arm tensile force of the user based on the tensile force value obtained by the detection.
  • the above step S1001 may include: the electronic device 100 prompts the user to hold the handle 102 to pull out and retract multiple times within the first preset time.
  • the electronic device 100 detects the number of times the handle 102 is pulled out and retracted within the first preset time after receiving the user's confirmation or after the preset time of the prompt. Then, the electronic device 100 determines the upper arm tension of the user based on the number of times the handle 102 is pulled out and retracted within the first preset time.
  • the change in the pulling force detected by the pulling force sensor 113 is: 0 ⁇ increase ⁇ decrease ⁇ 0.
  • the electronic device 100 may determine that the pulling out and retracting operations are turned on.
  • the electronic device 100 may determine that the pulling out and retracting operations are finished.
  • the electronic device 100 may prompt the user to pull and retract the handle 102 multiple times within the first preset time, so that the first preset time length is reasonable (for example, enough for the user to complete multiple pulls and retracts).
  • the user's upper arm muscle endurance can be combined to evaluate the user's upper arm tension.
  • the above step S1001 may include: the electronic device 100 prompts the user to complete the operation of pulling out and retracting the handle 102 for a first preset number of times.
  • the electronic device 100 detects the time consumed by the handle 102 being pulled out by the user and retracted for the first preset number of times after receiving the user's confirmation or after the preset time prompted. Then, the electronic device 100 determines the upper arm tension of the user based on the detected time that the handle 102 is pulled out and retracted by the user for the first preset number of times.
  • the electronic device 100 may prompt the user to complete the pull-out and retract operations of the handle 102 for a first preset number of times, so that multiple detection results can be combined to comprehensively evaluate the user's upper arm tension.
  • the electronic device 100 may have pre-stored evaluation criteria for each muscle health index, including the evaluation criteria for upper arm tension.
  • the muscle mass of the limbs, hand grip strength and lower limb strength can refer to the above evaluation standards.
  • the upper arm tension condition can be evaluated according to the upper arm tension (unit: Newton (N)) evaluation standard shown in Table 3 below:
  • the foregoing Table 3 is only used as an example, and the embodiment of the present application does not specifically limit the evaluation standard of the upper arm tension.
  • the evaluation criteria are not limited to the two dimensions of age and gender, but may also include dimensions such as height and weight.
  • the parameter ranges corresponding to different scores can also be adjusted according to the actual situation.
  • the tensile force sensor 113 detects the tensile force value, and based on the tensile force value obtained by the detection, determines the explosive force of the user's upper arm. Specifically, when the electronic device 100 detects that the user starts the tensile test, the tensile sensor 113 can detect the average value of the tensile force (or peak tensile force) and the average value of the peak tensile force change rate (or the peak tensile force change rate), etc. Through the peak average value of the rate of change of tension (or the peak value of the rate of change of tension), combined with the average value of the peak value of tension (or the peak value of tension), the explosive force of the user's upper arm can be evaluated.
  • the above step S504 may specifically include S1002:
  • the electronic device 100 is based on the muscle mass of the limbs, hand grip, lower limb strength and upper arm tension, combined with the user’s age and gender, as well as human muscle health and limb muscle mass, hand grip strength, lower limb strength, and upper arm tension, And the corresponding relationship between age and gender to determine the user's muscle health.
  • the electronic device can comprehensively evaluate the user's muscle health based on the evaluation results of the user's limb muscle mass, the user's hand grip, the user's upper arm tension, and the user's lower limb strength. For example, if the user’s limb muscle mass score is low (e.g., less than 2 points), and the user’s upper arm pull score is low (e.g., less than 2 points) and/or the user’s lower limb strength score is low (e.g., less than 2 points) ), it can be considered that the user’s limbs are weak.
  • the user’s limb muscle mass score is low (such as less than 2 points)
  • the user’s upper arm pull score is low (such as less than 2 points)
  • the user’s lower limb strength score is low (such as less than 2 points)
  • the method for detecting human muscle health may further include the following step S1101:
  • the electronic device 100 obtains the walking speed and/or distance of the user within the fourth preset time from the portable device carried by the user.
  • the electronic device 100 may remind the user to carry the portable device and perform the walking test within the fourth preset time.
  • the walking test is used to assist the portable device to obtain motion parameters (including one or more of walking speed, walking distance, or heart rate while walking).
  • Portable devices may include mobile phones, smart bracelets, smart watches, etc., or may also be portable multimedia players (Portable Multimedia Player, PMP) and other portable devices of other types or functions. The specific types and structures of portable devices in the embodiments of this application Not limited.
  • a communication connection is established between the electronic device 100 and the portable device.
  • the communication connection can be direct or indirect.
  • the electronic device 100 may establish a communication connection with a portable device through the cloud.
  • the electronic device 100 can establish a communication connection with the smart bracelet through a terminal such as a mobile phone.
  • the electronic device 100 may prompt the user to carry the portable device to complete the 5-minute brisk walking test.
  • the electronic device 100 may also prompt the user to carry a portable device to complete a walking test of a preset distance (for example, 500m).
  • a preset distance for example, 500m.
  • the embodiments of the present application do not specifically limit the specific implementation details of the walking test.
  • the exercise parameter is used to at least characterize the cardiorespiratory endurance of the user.
  • the portable device can use the GPS in the portable device to start the measurement when it detects that the user's position has changed. Specifically, the portable device can measure the user's pace. In some embodiments, the portable device can also measure the user's heart rate during walking. And, when it is determined that the fourth preset time expires, stop the above-mentioned measurement.
  • the user's exercise parameters may include the time required for the user to complete the aforementioned preset distance, the pace of the user during walking, or the heart rate during walking, etc. One or more of.
  • the above step S504 may specifically include the following step S1102:
  • the electronic device 100 is based on the muscle mass of the limbs, hand grip strength, lower limb strength, walking speed and/or distance within the fourth preset time, combined with the acquired age and gender of the user, as well as human muscle health and limb muscles
  • the weight, hand grip strength, lower limb strength, walking speed and/or distance within the fourth preset time, and the corresponding relationship between age and gender are used to determine the user’s muscle health.
  • the user’s limb muscle mass score is low (e.g. less than 2 points)
  • the user’s upper arm pull score is low (e.g. less than 2 points)
  • the user’s lower limb strength score is low (e.g. less than 2 points)
  • the user's physical fitness is poor (for example, less than 2 points), it can be considered that the user's sarcopenia is more serious.
  • the electronic device 100 may also perform both the above step S1001 and the above step S1101.
  • the above step S504 may specifically include: the electronic device 100 according to the muscle mass of the limbs, hand grip, and lower limb strength, Upper arm tension, walking speed and/or distance within the fourth preset time, combined with the acquired user’s age and gender, as well as human muscle health and limb muscle mass, hand grip strength, lower limb strength, upper arm tension, Fourth, the walking speed and/or distance within the preset time, and the corresponding relationship between age and gender, to determine the user's muscle health.
  • the embodiment of the present application does not specifically limit the execution order of the above steps S501, S502, S503, S1001, and S1101 by the electronic device 100.
  • the electronic device 100 may also perform step S1101 first, and then perform step S1001.
  • the electronic device 100 may also determine whether at least one of the user’s limb muscle mass, hand grip strength, lower limb strength, and upper arm tension is related to the body’s muscle health and limb muscle mass, hand grip strength, and lower limb strength. After the corresponding result in the corresponding relationship between strength and age and gender is lower than the corresponding parameter threshold, the above step S1101 is executed.
  • the electronic device 100 may further prompt the user to perform step S1101 to perform the aforementioned walking test.
  • the method for detecting human muscle health may further include the following step S1201:
  • the user standing on the bottom plate 101 in the first state at least includes the user standing on the bottom plate 101 with one leg open, the user standing on the bottom plate 101 with one leg closed, or the user standing on the bottom plate 101 with both legs closed.
  • FIG. 13 shows two types of pressure distribution diagrams detected by the pressure film when the user closes his eyes and stands on the bottom plate 101 with one leg.
  • a in Fig. 13 the pressure distribution of the sole of the user's sole on the bottom plate 101 is mainly concentrated on several main supporting points of the sole of the human body.
  • B in FIG. 13 the pressure distribution of the soles of the user's feet on the bottom plate 101 is relatively scattered. Therefore, the user corresponding to A in FIG. 13 has a stronger balance ability than the user corresponding to B in FIG. 13.
  • the above step S504 may specifically include the following step S1202:
  • the electronic device 100 according to the muscle mass of the limbs, hand grip, lower limb strength and balance ability, combined with the age and gender of the user obtained, as well as the human muscle health and limb muscle mass, hand grip strength, lower limb strength, and balance ability, And the corresponding relationship between age and gender to determine the user's muscle health.
  • the electronic device 100 may also perform the above-mentioned steps S1001 and/or S1101, and also perform the above-mentioned step S1201.
  • the above-mentioned step S504 may specifically include: , Lower limb strength, upper arm tension and/or movement parameters within the fourth preset time, combined with the acquired user’s age and gender, as well as human muscle health and limb muscle mass, hand grip, lower limb strength, upper arm tension and /Or the movement parameters within the fourth preset time and the corresponding relationship between age and gender to determine the user's muscle health.
  • the embodiment of the present application does not specifically limit the execution order of the above steps S501, S502, S503, S1001, S1101, and S1201 by the electronic device 100.
  • the electronic device 100 may also perform the above-mentioned step S1201 first, and then perform the step S1101.
  • the electronic device includes a hardware structure and/or software module corresponding to each function.
  • the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed by hardware or computer software-driven hardware depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.
  • the embodiment of the present application may divide the electronic device into functional modules.
  • each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module.
  • the above-mentioned integrated modules can be implemented in the form of hardware or software function modules. It should be noted that the division of modules in the embodiments of the present application is illustrative, and is only a logical function division, and there may be other division methods in actual implementation.
  • the electronic device 100 may include a detection unit 1410 and a processing unit 1420.
  • the detection unit 1410 is used to support the electronic device 100 to detect whether the handle 102 is held by the user, whether the handle 102 is strongly held by the user, detect the pressure distribution of the handle when the user holds the handle 102 hard, detect the user's human body impedance value, and detect Whether the user performs the sitting/standing test/squatting test, detecting the pressure distribution on the bottom plate 101 when the user is performing the sitting/standing test/squatting test, and detecting the pressure distribution of the user standing on the bottom plate 101 in the first state, etc.
  • the processing unit 1420 is used to support the electronic device 100 to determine one or more of the user’s limb muscle mass, hand grip strength, lower limb strength, upper arm tension or balance ability, and/or other processes used in the technology described herein .
  • the electronic device 100 may further include a prompt unit 1430 for reminding the user to hold the handle 102, remind the user to hold the handle 102 hard, remind the user to perform a sitting/stand test/squatting test, and remind the user One or more of performing physical fitness tests or reminding users to perform balance tests, etc., and/or other processes used in the techniques described herein.
  • a prompt unit 1430 for reminding the user to hold the handle 102, remind the user to hold the handle 102 hard, remind the user to perform a sitting/stand test/squatting test, and remind the user One or more of performing physical fitness tests or reminding users to perform balance tests, etc., and/or other processes used in the techniques described herein.
  • the electronic device 100 may further include a communication unit 1440.
  • the communication unit 1440 is used to support the electronic device 100 to obtain movement parameters such as the walking speed and/or distance of the user within the fourth preset time from the portable device with which the communication connection is established, and/or to support the electronic device 100 to
  • the detected muscle health indicators are sent to the portable device that has established a communication connection with it, so that the portable device can further comprehensively analyze the human muscle health and display the analysis result to the user, and/or use in other processes of the technology described in this article .
  • the wireless communication protocol adopted by the communication unit 1440 may be a wireless communication protocol such as radio frequency, Bluetooth, NFC, Wi-Fi, and Zigbee.
  • the communication unit 1440 may include a radio frequency circuit.
  • the electronic device can receive and send wireless signals through a radio frequency circuit.
  • the radio frequency circuit includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and so on.
  • the radio frequency circuit can also communicate with other devices through wireless communication.
  • the wireless communication can use any communication standard or protocol, including but not limited to Global System for Mobile Communications, General Packet Radio Service, Code Division Multiple Access, Wideband Code Division Multiple Access, Long Term Evolution, Email, Short Message Service, etc.
  • each module in the electronic device 100 may be implemented in the form of software and/or hardware, which is not specifically limited.
  • the electronic device 100 is presented in the form of functional modules.
  • the "module” herein may refer to application-specific integrated circuits ASIC, circuits, processors and memories that execute one or more software or firmware programs, integrated logic circuits, and/or other devices that can provide the above-mentioned functions.
  • the electronic device 100 may adopt the form shown in FIG. 17.
  • the processing unit 1420 may be implemented by the processor 1710 shown in FIG. 17.
  • the communication unit 1440 may be implemented by the transceiver 1720 shown in FIG. 17.
  • the processor is implemented by executing a computer program stored in the memory.
  • the function and/or implementation process of the communication unit 1440 may also be implemented by pins or circuits.
  • the memory is a storage unit in the chip, such as a register, a cache, etc., and the storage unit may also be a storage unit located outside the chip in the computer device, as shown in FIG. Storage 1730.
  • FIG. 17 shows a schematic structural diagram of an electronic device 100 according to an embodiment of the present application.
  • the electronic device 100 includes: a processor 1710 and a transceiver 1720.
  • the processor 1710 may be used to support the electronic device 100 to execute the process performed by the foregoing processing unit 1420, and/or other processes used in the technology described herein.
  • the transceiver 1720 may be used to support the electronic device 100 to perform the process performed by the communication unit 1440 described above, and/or other processes used in the technology described herein.
  • the electronic device 100 further includes a memory 1730, and the memory 1730 can store the program codes in the foregoing method embodiments, so that the processor 1710 can call them.
  • the electronic device 100 includes the processor 1710, the memory 1730, and the transceiver 1720
  • the processor 1710, the memory 1730, and the transceiver 1720 communicate with each other through internal connection paths, and transfer control and/or data signals.
  • the processor 1710, the memory 1730, and the transceiver 1720 can be implemented by chips.
  • the processor 1710, the memory 1730, and the transceiver 1720 can be implemented on the same chip, or they may be implemented on different chips. Or any combination of two functions can be implemented in one chip.
  • the memory 1730 can store program codes, and the processor 1710 calls the program codes stored in the memory 1730 to implement corresponding functions of the electronic device 100.
  • the computer program product includes one or more computer instructions.
  • the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
  • the computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium.
  • the computer instructions may be transmitted from a website, computer, server, or data center.
  • the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center integrated with one or more available media.
  • the usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, and a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)).
  • the steps of the method or algorithm described in the embodiments of the present application may be implemented in hardware, or implemented by a processor executing software instructions.
  • Software instructions can be composed of corresponding software modules, which can be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, mobile hard disk, CD-ROM or any other form of storage known in the art Medium.
  • An exemplary storage medium is coupled to the processor, so that the processor can read information from the storage medium and write information to the storage medium.
  • the storage medium may also be an integral part of the processor.
  • the processor and the storage medium may be located in the ASIC.
  • the ASIC may be located in the detection device.
  • the processor and the storage medium may also exist as discrete components in the detection device.
  • the present application provides a chip system, the chip system includes a processor, a memory, and instructions are stored in the memory; when the instructions are executed by the processor, any of the possible The method for detecting the health of human muscles in the realization mode.
  • the chip system can be composed of chips, or it can include chips and other discrete devices.
  • the disclosed user equipment and method may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the modules or units is only a logical function division.
  • there may be other division methods for example, multiple units or components may be It can be combined or integrated into another device, or some features can be omitted or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.
  • the units described as separate parts may or may not be physically separate.
  • the parts displayed as units may be one physical unit or multiple physical units, that is, they may be located in one place, or they may be distributed to multiple different places. . Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.
  • the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium.
  • the technical solutions of the embodiments of the present application are essentially or the part that contributes to the prior art, or all or part of the technical solutions can be embodied in the form of a software product, and the software product is stored in a storage medium. It includes several instructions to make a device (which may be a single-chip microcomputer, a chip, etc.) or a processor (processor) execute all or part of the steps of the methods described in the various embodiments of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), magnetic disk or optical disk and other media that can store program code .

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Abstract

一种检测人体肌肉健康程度的方法及电子设备，涉及测试仪器技术领域。其方法包括通过提供的包括手柄（102）和底板（101）的电子设备（100），在用户握持手柄（102）的过程中通过正负极片测量多个人体阻抗值，以得到用户四肢肌肉量；在用户用力握持手柄（102）的过程中，通过手柄（102）上的压力传感器测量手柄压力值，以得到用户的手部握力；在用户蹲起测试或坐站测试的过程中，通过底板（101）上的压力传感器测量底板压力值，以得到用户的下肢力量。该方法可以快速地完成用户肌肉健康指标的测量，便于电子设备可以结合用户的实际年龄、性别等因素综合评估用户的肌肉健康程度。

Description

一种检测人体肌肉健康程度的方法及电子设备
本申请要求于2020年3月23日提交国家知识产权局、申请号为202010209437.1、申请名称为“一种检测人体肌肉健康程度的方法及电子设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及测试仪器技术领域，尤其涉及一种检测人体肌肉健康程度的方法及电子设备。
背景技术
肌少症(Sarcopenia)是以肌容积、肌力和躯体功能下降为特征的疾病。2016年肌少症获得了世界卫生组织提供的国际疾病分类(ICD-10)编码(M62.84)，这标志着肌少症被认定为一种新的疾病。肌少症可能会导致老年人行走、坐立等各种日常活动完成困难，增加跌倒风险，造成骨折，甚至死亡等严重问题。即使是年轻人，由于缺乏运动、久坐、维生素D及光照不足等原因，也会呈现出肌肉量和肌肉质量下降的趋势，增加肌少症的发病率。因此，就需要提供一种可以检测人体肌肉健康(如肌肉量、肌肉力量等)的方法，以便用户可以实时了解自己的肌肉健康状况，防患于未然。
目前，可以通过体成分分析仪，采用磁共振成像(magnetic resonance imaging，MRI)，X线计算机断层摄影(computed tomography，CT)，双能X线吸收测量法(dual energy X-ray absorptiometry，DEXA)或生物电阻抗分析(bioelectrical impedance analysis，BIA)等方法测量获得肌肉量(如肌肉量指数(lean mass index，LMI))。通过握力计、拉力计等测量得到肌肉力量；如通过握力计测量得到手部握力，通过拉力计测量得到上臂拉力。
但是，采用上述方法完成上述多个肌肉指标的测量需要多种测量设备(如体成分分析仪、握力计、拉力计和秒表等)；另外，采用上述方法需要人工辅助计时以及人工辅助分析测量结果。因此，上述方法操作起来太复杂。
发明内容
本申请提供一种检测人体肌肉健康程度的方法及电子设备，可以快速、便捷地完成用户肌肉指标的测量，进而评估人体肌肉健康程度。
为达到上述目的，本申请实施例采用如下技术方案：
第一方面，提供一种检测人体肌肉健康程度的方法，该方法应用于包括手柄和底板的电子设备，其中，电子设备的手柄和所述底板上分别设置有正负极片和压力传感器；该方法包括：电子设备在检测到手柄被用户握持时，通过手柄和底板上设置的正负极片测量多个人体阻抗值，并基于测量获得的多个人体阻抗值，确定用户的四肢肌肉量；电子设备在检测到手柄被用户用力握持时，通过所手柄上设置的压力传感器检测手柄压力值，并基于检测获得的手柄压力值，确定用户的手部握力；电子设备在检测到用户开始蹲起测试或坐站测试时，通过底板上设置的压力传感器检测底板压力值，并基于检测获得的底板压力值，确定用户的下肢力量；电子设备根据四肢肌肉量，手 部握力和下肢力量，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定用户的肌肉健康程度。
上述第一方面提供的技术方案，通过包括手柄和底板的电子设备，在用户握持手柄的过程中通过正负极片测量多个人体阻抗值，以得到用户四肢肌肉量；在用户用力握持手柄的过程中，通过手柄上的压力传感器测量手柄压力值，以得到用户的手部握力；在用户蹲起测试或坐站测试的过程中，通过底板上的压力传感器测量底板压力值，以得到用户的下肢力量。通过上述检测结果，可以结合用户的实际年龄、性别等因素综合评估用户的肌肉健康程度。
在一种可能的实现方式中，上述手柄为可拉出手柄，手柄通过弹性部件与电子设备连接，弹性部件的一端还设置有拉力传感器；上述方法还包括：电子设备在检测到用户开始拉伸测试时，通过拉力传感器检测拉力值，并基于检测获得的拉力值，确定用户的上臂拉力；上述电子设备根据四肢肌肉量，手部握力和下肢力量，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定用户的肌肉健康程度，具体包括：电子设备根据所述四肢肌肉量，手部握力，下肢力量和上臂拉力，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、上臂拉力，以及年龄和性别的对应关系，确定用户的肌肉健康程度。通过包括可拉出手柄一端设置的拉力传感器检测用户作拉伸测试过程中的拉力值，以快速、便捷地完成用户上臂拉力指标的测量。提升用户体验。
在一种可能的实现方式中，上述电子设备在检测到用户开始拉伸测试时，通过拉力传感器检测拉力值，并基于检测获得的拉力值，确定用户的上臂拉力，具体包括：电子设备提示用户在第一预设时间内握持手柄多次拉出和收回，在收到用户确认后或在提示的预设时间后，检测在第一预设时间内手柄被拉出和收回的次数；并基于检测的次数，确定用户的上臂拉力；或者，电子设备提示用户完成第一预设次数的手柄拉出和收回操作，在收到用户确认后或在提示的预设时间后，所述手柄被用户拉出和收回第一预设次数所消耗的时间；并基于检测到的时间，确定所述用户的上臂拉力。通过检测用户完成预设次数的拉伸测试需要的时间，或者用户在预设时间内可以完成拉伸的次数，以快速、便捷地完成用户上臂拉力指标的测量。提升用户体验。
在一种可能的实现方式中，上述电子设备在检测到用户开始蹲起测试或坐站测试时，通过底板上设置的压力传感器检测底板压力值，并基于检测获得的底板压力值，确定用户的下肢力量，具体包括：电子设备提示所用户站在底板上，在第二预设时间内多次站起和蹲下，在收到用户确认后或在提示的预设时间后，检测在第二预设时间内用户站起和蹲下的次数；并基于检测的用户站起和蹲下的次数，确定用户的下肢力量；或者，电子设备提示用户站在底板上，完成第二预设次数的站起和/或蹲下操作，在收到用户确认后或在提示的预设时间后，检测用户完成第二预设次数的站起和蹲下的时间；并基于检测的用户完成第二预设次数的站起和蹲下的时间，确定用户的下肢力量；或者，电子设备提示用户站在底板上，在第三预设时间内多次站起和坐下，在收到用户确认后或在提示的预设时间后，检测用户在第三预设时间内的站起和坐下的 次数；并基于检测的用户在第三预设时间内的站起和坐下的次数，确定用户的下肢力量；或者，电子设备提示用户站在底板上，完成第三预设次数的站起和/或坐下操作，在收到用户确认后或在提示的预设时间后，检测用户完成第三预设次数的站起和坐下的时间；并基于检测的用户完成第三预设次数的站起和蹲下的时间，确定用户的下肢力量。通过包括底板的电子设备，提示用户使用底板进行站起和蹲下操作/站起和坐下操作，以辅助电子设备获取用户下肢力量，使得电子设备可以快速、便捷地完成用户下肢力量指标的测量。提升用户体验。
在一种可能的实现方式中，电子设备与便携设备之间建立了通信连接；上述方法还包括：电子设备从用户携带的便携设备获取用户在第四预设时间内的行走速度和/或路程；电子设备根据四肢肌肉量，手部握力和下肢力量，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定用户的肌肉健康程度，具体包括：电子设备根据四肢肌肉量，手部握力，下肢力量，在第四预设时间内的行走速度和/或路程，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、在第四预设时间内的行走速度和/或路程，以及年龄和性别的对应关系，确定用户的肌肉健康程度。通过与电子设备建立了通信连接的便携设备测量用户行走时的速度和/或路程，使得电子设备可以快速、便捷地完成用户心肺耐力指标的测量。提升用户体验。
在一种可能的实现方式中，在上述电子设备从用户携带的便携设备获取所述行走速度和路程之前，上述方法还包括：电子设备确定用户的所述四肢肌肉量、手部握力、下肢力量和上臂拉力中的至少一个在人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、以及年龄和性别的对应关系中的对应结果为低于对应的参数阈值。当用户的上臂拉力、手部握力或下肢力量中的一个或多个指标低于标准时，则可以预测用户可能有肌少症等风险，在这种情况下，可以进一步通过与电子设备建立了通信连接的便携设备测量用户行走时的速度和/或路程，以便进一步确定用户是否有肌少症风险。
在一种可能的实现方式中，上述方法还包括：电子设备在检测到用户以第一状态站立在底板上时，通过底板上设置的压力传感器检测压力分布数据，并基于所检测到的压力分布数据获取用户的平衡能力；上述电子设备根据四肢肌肉量，手部握力和下肢力量，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定用户的肌肉健康程度，具体包括：电子设备根据四肢肌肉量，手部握力，下肢力量和平衡能力，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、平衡能力，以及年龄和性别的对应关系，确定用户的肌肉健康程度；其中，用户以第一状态站立包括用户睁开眼睛单腿站立、闭上眼睛单腿站立或者闭上眼睛双腿站立。通过底板上设置的压力传感器获取用户执行睁眼单腿站、闭眼单腿站或者闭眼双腿站立等操作时的底板压力分布数据，以便可以快速、便捷地完成用户平衡能力指标的测量。提升用户体验。
第二方面，提供一种电子设备，该电子设备包括手柄、底板和处理单元，手柄和底板上分别设置有正负极片和压力传感器；手柄上的压力传感器用于，检测电子设备的手柄是否被用户握持；以及在检测到手柄被用户用力握持时，检测手柄压力值；正 负极片用于测量多个人体阻抗值；底板上的压力传感器用于，在检测到用户开始蹲起测试或坐站测试时，检测底板压力值；处理单元用于获取上述正负极片测量的多个人体阻抗值，并基于测量获得的多个人体阻抗值，确定用户的四肢肌肉量；获取手柄上的压力传感器检测获得的手柄压力值，确定用户的手部握力；以及，获取底板上的压力传感器检测获得的底板压力值，确定用户的下肢力量；以及，根据四肢肌肉量，手部握力和下肢力量，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定用户的肌肉健康程度。
上述第二方面提供的技术方案，通过包括手柄和底板的电子设备，在用户握持手柄的过程中通过正负极片测量多个人体阻抗值，以得到用户四肢肌肉量；在用户用力握持手柄的过程中，通过手柄上的压力传感器测量手柄压力值，以得到用户的手部握力；在用户蹲起测试或坐站测试的过程中，通过底板上的压力传感器测量底板压力值，以得到用户的下肢力量。通过上述检测结果，可以结合用户的实际年龄、性别等因素综合评估用户的肌肉健康程度。
在一种可能的实现方式中，上述手柄为可拉出手柄，手柄通过弹性部件与电子设备连接，弹性部件的一端还设置有拉力传感器；拉力传感器用于，在检测到用户开始拉伸测试时，检测拉力值；处理单元还用于，基于检测获得的拉力值，确定用户的上臂拉力；处理单元根据所述四肢肌肉量，手部握力和下肢力量，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定用户的肌肉健康程度，具体包括：处理单元根据四肢肌肉量，手部握力，下肢力量和上臂拉力，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、上臂拉力，以及年龄和性别的对应关系，确定用户的肌肉健康程度。通过包括可拉出手柄一端设置的拉力传感器检测用户作拉伸测试过程中的拉力值，以快速、便捷地完成用户上臂拉力指标的测量。提升用户体验。
在一种可能的实现方式中，上述电子设备还包括：提示单元，用于提示用户在第一预设时间内握持手柄多次拉出和收回；拉力传感器在检测到用户开始拉伸测试时，检测拉力值，具体包括：拉力传感器在收到用户确认后或在提示的预设时间后，检测用户拉伸测试过程中的拉力值；处理单元基于检测获得的拉力值，确定用户的上臂拉力，具体包括：处理单元基于用户拉伸测试过程中的拉力值，确定在第一预设时间内手柄被拉出和收回的次数；处理单元基于在第一预设时间内手柄被拉出和收回的次数，确定所述用户的上臂拉力。通过检测用户在预设时间内可以完成拉伸的次数，以快速、便捷地完成用户上臂拉力指标的测量。提升用户体验。
在一种可能的实现方式中，上述电子设备还包括：提示单元，用于提示用户完成第一预设次数的手柄拉出和收回操作；处理单元基于获得的拉力值，确定所述用户的上臂拉力，具体包括：处理单元基于在收到用户确认后或在提示的预设时间后、用户拉伸测试过程中的拉力值，确定手柄被用户拉出和收回第一预设次数所消耗的时间；以及，基于手柄被用户拉出和收回第一预设次数所消耗的时间，确定所述用户的上臂拉力。通过检测用户完成预设次数的拉伸测试需要的时间，以快速、便捷地完成用户 上臂拉力指标的测量。提升用户体验。
在一种可能的实现方式中，电子设备还包括：提示单元，用于提示用户站在底板上，在第二预设时间内多次站起和蹲下；处理单元基于检测获得的底板压力值，确定用户的下肢力量，具体包括：处理单元确定在收到用户确认后或在所述提示的预设时间后，用户在蹲起测试过程中的底板压力值，并根据该获取的底板压力值，确定在第二预设时间内用户站起和蹲下的次数；以及，基于在第二预设时间内用户站起和蹲下的次数，确定用户的下肢力量。通过包括底板的电子设备，提示用户使用底板进行站起和蹲下操作，以辅助电子设备获取用户下肢力量，使得电子设备可以快速、便捷地完成用户下肢力量指标的测量。提升用户体验。
在一种可能的实现方式中，电子设备还包括：提示单元，用于提示用户站在底板上，完成第二预设次数的站起和/或蹲下操作；底板上的压力传感器在检测到用户开始蹲起测试或坐站测试时，检测底板压力值，具体包括：底板上的压力传感器在收到用户确认后或在提示的预设时间后，检测用户在蹲起测试过程中的底板压力值；处理单元基于检测获得的底板压力值，确定用户的下肢力量，具体包括：处理单元基于用户在蹲起测试过程中的底板压力值，确定用户完成第二预设次数的站起和蹲下的时间；处理单元基于用户完成第二预设次数的站起和蹲下的时间，确定用户的下肢力量。通过包括底板的电子设备，提示用户使用底板进行站起和蹲下操作，以辅助电子设备获取用户下肢力量，使得电子设备可以快速、便捷地完成用户下肢力量指标的测量。提升用户体验。
在一种可能的实现方式中，电子设备还包括：提示单元，用于提示用户站在底板上，在第三预设时间内多次站起和坐下；上述底板上的压力传感器在检测到用户开始蹲起测试或坐站测试时，检测底板压力值，具体包括：底板上的压力传感器在收到用户确认后或在提示的预设时间后，检测用户在坐站测试过程中的底板压力值；处理单元基于检测获得的底板压力值，确定用户的下肢力量，具体包括：处理单元基于用户在坐站测试过程中的底板压力值，确定用户在第三预设时间内的站起和坐下的次数；处理单元基于用户在第三预设时间内的站起和坐下的次数，确定用户的下肢力量。通过包括底板的电子设备，提示用户使用底板进行站起和坐下操作，以辅助电子设备获取用户下肢力量，使得电子设备可以快速、便捷地完成用户下肢力量指标的测量。提升用户体验。
在一种可能的实现方式中，电子设备还包括：提示单元，用于提示用户站在底板上，完成第三预设次数的站起和/或坐下操作；上述底板上的压力传感器在检测到用户开始蹲起测试或坐站测试时，检测底板压力值，具体包括：底板上的压力传感器在收到用户确认后或在所述提示的预设时间后，检测用户在坐站测试过程中的底板压力值；处理单元基于检测获得的底板压力值，确定用户的下肢力量，具体包括：处理单元基于用户在坐站测试过程中的底板压力值，确定用户完成第三预设次数的站起和坐下的时间；处理单元基于用户完成第三预设次数的站起和蹲下的时间，确定用户的下肢力量。通过包括底板的电子设备，提示用户使用底板进行站起和坐下操作，以辅助电子设备获取用户下肢力量，使得电子设备可以快速、便捷地完成用户下肢力量指标的测量。提升用户体验。
在一种可能的实现方式中，电子设备与便携设备之间建立了通信连接；电子设备还包括：通信单元，用于从用户携带的便携设备获取用户在第四预设时间内的行走速度和/或路程；上述处理单元根据四肢肌肉量，手部握力和下肢力量，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定用户的肌肉健康程度，具体包括：处理单元根据四肢肌肉量，手部握力，下肢力量，在第四预设时间内的行走速度和/或路程，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、在第四预设时间内的行走速度和/或路程，以及年龄和性别的对应关系，确定用户的肌肉健康程度。通过与电子设备建立了通信连接的便携设备测量用户行走时的速度和/或路程，使得电子设备可以快速、便捷地完成用户心肺耐力指标的测量。提升用户体验。
在一种可能的实现方式中，在上述通信单元从用户携带的便携设备获取用户在第四预设时间内的行走速度和/或路程之前，处理单元还用于，确定用户的四肢肌肉量、手部握力、下肢力量和上臂拉力中的至少一个在所述人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、以及年龄和性别的对应关系中的对应结果为低于对应的参数阈值。当用户的上臂拉力、手部握力或下肢力量中的一个或多个指标低于标准时，则可以预测用户可能有肌少症等风险，在这种情况下，可以进一步通过与电子设备建立了通信连接的便携设备测量用户行走时的速度和/或路程，以便进一步确定用户是否有肌少症风险。
在一种可能的实现方式中，底板上的压力传感器还用于，在检测到用户以第一状态站立在底板上时，通过底板设置的压力传感器检测压力分布数据；处理单元还用于，基于底板上的压力传感器所检测到的压力分布数据获取用户的平衡能力；处理单元根据四肢肌肉量，手部握力和下肢力量，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定用户的肌肉健康程度，具体包括：处理单元根据四肢肌肉量，手部握力，下肢力量和平衡能力，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、平衡能力，以及年龄和性别的对应关系，确定用户的肌肉健康程度；其中，用户以第一状态站立包括用户睁开眼睛单腿站立、闭上眼睛单腿站立或者闭上眼睛双腿站立。通过底板上设置的压力传感器获取用户执行睁眼单腿站、闭眼单腿站或者闭眼双腿站立等操作时的底板压力分布数据，以便可以快速、便捷地完成用户平衡能力指标的测量。提升用户体验。
第三方面，提供一种电子设备，该电子设备包括：存储器，用于存储计算机程序代码，该计算机程序代码包括指令；处理器，用于执行上述指令，使得电子设备执行第一方面任一种可能的实现方式中的检测人体肌肉健康程度的方法。
第四方面，提供一种计算机可读存储介质，该计算机可读存储介质上存储有计算机执行指令，该计算机执行指令被处理器执行时实现如第一方面任一种可能的实现方式中的检测人体肌肉健康程度的方法。
第五方面，提供一种芯片系统，该芯片系统包括处理器、存储器，存储器中存储有指令；所述指令被所述处理器执行时，实现如第一方面任一种可能的实现方式中的检测人体肌肉健康程度的方法。该芯片系统可以由芯片构成，也可以包含芯片和其他 分立器件。
第六方面，提供一种计算机程序产品，当其在计算机上运行时，使得实现如第一方面任一种可能的实现方式中的检测人体肌肉健康程度的方法。
附图说明
图1为本申请实施例提供的一种电子设备的硬件结构示意图；
图2为本申请实施例提供的三种电子设备的形态结构示意图；
图3为本申请实施例提供的一种手柄剖面结构示意图；
图4为本申请实施例提供的一种可拉出手柄收回和拉出两种状态转换过程示意图；
图5为本申请实施例提供的一种检测人体肌肉健康程度的方法流程图一；
图6为本申请实施例提供的一种应用响应于用户的握持操作进行响应的原理示意图；
图7为本申请实施例提供的一种人体阻抗示意图；
图8为本申请实施例提供的电子设备测量得到的六种阻抗示意图；
图9为本申请实施例提供的两种用于辅助电子设备确定用户的下肢力量的操作示意图；
图10为本申请实施例提供的一种检测人体肌肉健康程度的方法流程图二；
图11为本申请实施例提供的一种检测人体肌肉健康程度的方法流程图三；
图12为本申请实施例提供的一种检测人体肌肉健康程度的方法流程图四；
图13为本申请实施例提供的两种用户闭上眼睛单腿站立在底板上，压力薄膜检测到的压力分布图；
图14为本申请实施例提供的一种电子设备的结构框图；
图15为本申请实施例提供的另一种电子设备的结构框图；
图16为本申请实施例提供的再一种电子设备的结构框图；
图17为本申请实施例提供的一种电子设备的示意性结构图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行描述。
为了使本申请的目的、技术方案和优点更加清楚，下面将结合附图对本申请作进一步地详细描述。
以下，术语“第一”、“第二”等仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”等的特征可以明示或者隐含地包括一个或者更多个该特征。在本申请的描述中，除非另有说明，“多个”的含义是两个或两个以上。
此外，本申请中，“上”、“下”等方位术语是相对于附图中的部件示意置放的方位来定义的，应当理解到，这些方向性术语是相对的概念，它们用于相对于的描述和澄清，其可以根据附图中部件所放置的方位的变化而相应地发生变化。
本申请实施例提供一种电子设备，该电子设备可以用于检测用户的肌肉健康指标。以便用户可以解自己的肌肉健康程度，采取相应措施，防患于未然。
其中，用户的肌肉健康指标包括但不限于用户的四肢肌肉量、用户的手部握力、用户的上臂拉力、用户的下肢力量、用户的心肺耐力(cardiorespiratory endurance)或用户的平 衡能力中的一种或多种。
作为一种可能的实现方式，用户的四肢肌肉量可以通过在用户的双手和双脚处加载微小电流，根据四肢之间的多个阻抗值计算得到。用户的手部握力可以通过检测用户用力握持物体时，物体的形变情况计算得到。用户的上臂拉力可以通过检测用户拉伸物体时，物体的受力情况计算得到。用户的下肢力量可以通过检测用户进行“坐起”测试或者“蹲起”测试过程中，用户脚部压力计算得到。用户的体能可以通过检测用户走路或跑步等体能项目时用户的配速计算得到。用户的心肺耐力可以通过检测用户走路或跑步等体能项目时用户的运动速度、运动距离和运动时心率等中的一个或多个计算得到。用户的平衡能力可以通过检测用户单腿站或闭眼站等测试项目时用户脚部的压力分布计算得到。其中，“坐起”测试是指用户多次站起和坐下的测试。“蹲起”测试是指用户多次站起和蹲下的测试。
为完成上述肌肉健康指标的测量，作为一种可能的结构，如图1所示，本申请提供的电子设备100可以包括底板101、手柄102、处理器103、充电管理模块104、电池105、电源管理模块106、扬声器107和显示屏108。其中，底板101上设置有四个电极(包括第一正极、第一负极、第二正极和第二负极)，以及第一传感器模块109。手柄102上设置有四个电极(包括第三正极、第三负极、第四正极和第四负极)，以及第二传感器模块110。
第一正极和第一负极设置在底板101上，供用户左脚站立的地方；第二正极和第二负极设置在底板101上，供用户右脚站立的地方。或者，第一正极和第一负极设置在底板101上，供用户右脚站立的地方；第二正极和第二负极设置在底板101上，供用户左脚站立的地方。手柄102包括第一手柄1021和第二手柄1022。第一手柄1021供用户左手握持，第二手柄1022供用户右手握持。如图1所示，第三正极和第三负极设置在第一手柄1021上；第四正极和第四负极设置在第二手柄1022上。或者，还可以是：第三正极和第三负极设置在第二手柄1022上；第四正极和第四负极设置在第一手柄1021上。
可以理解的是，本发明实施例示意的结构并不构成对电子设备100的具体限定。在本申请另一些实施例中，电子设备100可以包括比图示更多或更少的部件，或者组合某些部件，或者拆分某些部件，或者不同的部件布置。图示的部件可以以硬件，软件或软件和硬件的组合实现。
在本申请中，第一正极、第一负极、第二正极、第二负极、第三正极、第三负极、第四正极和第四负极分别用于在用户的双脚和双手处加载微小电流，以便辅助电子设备100得到用户的四肢肌肉量。
第一传感器模块109可以包括一个或多个传感器。在本申请实施例中，第一传感器模块109可以包括一个或多个压力传感器。或者，在一些实施例中，第一传感器模块109可以包括压力薄膜。在本申请实施例中，第一传感器模块109用于检测用户进行“坐起”测试或者“蹲起”测试等测试过程中，用户脚部在底板101上施加的压力。
底板上的压力传感器或者压力薄膜用于感受压力信号，可以将压力信号转换成电信号。压力传感器和压力薄膜的种类很多，如电阻式压力传感器/电阻式压力薄膜，电感式压力传感器/电感式压力薄膜，电容式压力传感器/电容式压力薄膜等。电容式压力传感器/电容式压力薄膜可以是包括至少两个具有导电材料的平行板。当有力作用于压力传感器/压力薄膜，电极之间的电容改变。电子设备100根据电容的变化确定压力的强度。在本申请实施例中，当有压力作用于底板101，电子设备100通过压力传感器/压力薄膜检测压力强度。电子设 备100也可以根据压力传感器/压力薄膜检测压力在底板101上的施加位置。
第二传感器模块110包括一个或多个传感器和形变材料。在本申请实施例中，第一传感器模块109可以包括触摸传感器，拉力传感器113，以及一个或多个压力传感器或者压力薄膜。在本申请实施例中，第一传感器模块109用于检测手柄102是否被用户握持，以及检测用户用力握持手柄102的过程中，用户手部在手柄102上施加的压力；或者用户多次拉出和收回手柄102等测试的过程中，用户在手柄102上施加的拉力。
触摸传感器，也称“触控器件”。触摸传感器可以用于检测作用于其上或附近的触摸操作。在本申请实施例中，触摸传感器可以设置在手柄102的外表面。当触摸传感器检测到用户手部接触手柄102，则可以将检测到的触摸操作传递给应用处理器，以确定触摸事件类型。
形变材料可以是可形变的橡胶或者塑料等。在本申请实施例中，形变材料可以设置在压力传感器或者压力薄膜外侧。例如，形变材料可以将压力传感器/压力薄膜包裹在其中。形变材料用于与压力传感器/压力薄膜协同测量得到施加在手柄102上的压力。
压力传感器或者压力薄膜用于感受压力信号，可以将压力信号转换成电信号。压力传感器和压力薄膜也可以是电阻式的，电感式的或者电容式的等。在本申请实施例中，当有压力作用于手柄102上时，形变材料会发生形变。形变材料的形变被压力传感器/压力薄膜检测到时，可以被电子设备100换算成压力值。电子设备100也可以根据形变材料的形变位置分布得到压力在手柄102上的施加位置。
拉力传感器113也叫做电阻应变式传感器。拉力传感器113可以将物理信号转换为电信号以便进行准确测量。拉力传感器可以基于这样一个原理：弹性体(弹性元件，敏感梁)在外力作用下产生弹性变形，使粘贴在他表面的电阻应变片(转换元件)也随同产生变形，电阻应变片变形后，它的阻值将发生变化(增大或减小)，再经相应的测量电路把这一电阻变化转换为电信号(电压或电流)，从而完成了将外力变换为电信号的过程。
处理器103可以包括一个或多个处理单元，例如：处理器103可以包括应用处理器(application processor，AP)，调制解调处理器，图形处理器(graphics processing unit，GPU)，图像信号处理器(image signal processor，ISP)，控制器，视频编解码器，数字信号处理器(digital signal processor，DSP)，基带处理器，和/或神经网络处理器(neural-network processing unit，NPU)等。其中，不同的处理单元可以是独立的器件，也可以集成在一个或多个处理器中。
控制器可以根据指令操作码和时序信号，产生操作控制信号，完成取指令和执行指令的控制。
处理器103中还可以设置存储器，用于存储指令和数据。在一些实施例中，处理器103中的存储器为高速缓冲存储器。该存储器可以保存处理器103刚用过或循环使用的指令或数据。如果处理器103需要再次使用该指令或数据，可从所述存储器中直接调用。避免了重复存取，减少了处理器103的等待时间，因而提高了系统的效率。
存储器可以包括外部存储器接口和内部存储器。外部存储器接口用于连接外部存储卡，例如Micro SD卡，实现扩展电子设备100的存储能力。外部存储卡通过外部存储器接口与处理器103通信，实现数据存储功能。例如将音乐，视频等文件保存在外部存储卡中。
内部存储器可以用于存储计算机可执行程序代码，所述可执行程序代码包括指令。内 部存储器可以包括存储程序区和存储数据区。其中，存储程序区可存储操作系统，至少一个功能所需的应用程序(比如声音播放功能，图像播放功能等)等。存储数据区可存储电子设备100使用过程中所创建的数据(比如音频数据，电话本等)等。此外，内部存储器可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件，闪存器件，通用闪存存储器(universal flash storage，UFS)等。处理器103通过运行存储在内部存储器的指令，和/或存储在设置于处理器中的存储器的指令，执行电子设备100的各种功能应用以及数据处理。
在一些实施例中，处理器103可以包括一个或多个接口。接口可以包括集成电路(inter-integrated circuit，I2C)接口，集成电路内置音频(inter-integrated circuit sound，I2S)接口，脉冲编码调制(pulse code modulation，PCM)接口，通用异步收发传输器(universal asynchronous receiver/transmitter，UART)接口，移动产业处理器接口(mobile industry processor interface，MIPI)，通用输入输出(general-purpose input/output，GPIO)接口，用户标识模块(subscriber identity module，SIM)接口，和/或通用串行总线(universal serial bus，USB)接口等。
可以理解的是，本发明实施例上述列举的一个或多个接口只作为示例，并不构成对电子设备100的结构限定。在本申请另一些实施例中，电子设备100也可以采用不同与列举的上述接口连接电子设备100的各个模块。
充电管理模块104用于从充电器接收充电输入。其中，充电器可以是无线充电器，也可以是有线充电器。在一些有线充电的实施例中，充电管理模块104可以通过USB接口接收有线充电器的充电输入。在一些无线充电的实施例中，充电管理模块104可以通过电子设备100的无线充电线圈接收无线充电输入。充电管理模块104为电池105充电的同时，还可以通过电源管理模块106为电子设备100供电。
电源管理模块106用于连接电池105，充电管理模块104与处理器103。电源管理模块106接收电池105和/或充电管理模块104的输入，为处理器103，内部存储器等供电。电源管理模块106还可以用于监测电池容量，电池循环次数，电池健康状态(漏电，阻抗)等参数。在其他一些实施例中，电源管理模块106也可以设置于处理器103中。在另一些实施例中，电源管理模块106和充电管理模块104也可以设置于同一个器件中。
在一些可能的结构中，电子设备100还可以包括无线通信模块111和移动通信模块112。在本申请中，无线通信模块111用于与便携设备(如手机、智能手环或智能手表等)通信，获取便携设备检测到的用户的运动参数，从而得到用户的心肺耐力。在一些实施例中，通信装置还用于将电子设备100测量得到的肌肉健康指标发送给便携设备，用于便携设备评估肌肉健康指标，得到用户的肌肉健康程度。
电子设备100的无线通信功能可以通过天线1，天线2，移动通信模块112，无线通信模块111，调制解调处理器以及基带处理器等实现。
天线1和天线2用于发射和接收电磁波信号。电子设备100中的每个天线可用于覆盖单个或多个通信频带。不同的天线还可以复用，以提高天线的利用率。例如：可以将天线1复用为无线局域网的分集天线。在另外一些实施例中，天线可以和调谐开关结合使用。
移动通信模块112可以提供应用在电子设备100上的包括2G/3G/4G/5G等无线通信的解决方案。移动通信模块112可以包括至少一个滤波器，开关，功率放大器，低噪声放大 器(low noise amplifier，LNA)等。移动通信模块112可以由天线1接收电磁波，并对接收的电磁波进行滤波，放大等处理，传送至调制解调处理器进行解调。移动通信模块112还可以对经调制解调处理器调制后的信号放大，经天线1转为电磁波辐射出去。在一些实施例中，移动通信模块112的至少部分功能模块可以被设置于处理器103中。在一些实施例中，移动通信模块112的至少部分功能模块可以与处理器103的至少部分模块被设置在同一个器件中。
调制解调处理器可以包括调制器和解调器。其中，调制器用于将待发送的低频基带信号调制成中高频信号。解调器用于将接收的电磁波信号解调为低频基带信号。随后解调器将解调得到的低频基带信号传送至基带处理器处理。低频基带信号经基带处理器处理后，被传递给应用处理器。应用处理器通过音频设备(如扬声器107等)输出声音信号。或者，通过显示屏108显示图像或视频。在一些实施例中，调制解调处理器可以是独立的器件。在另一些实施例中，调制解调处理器可以独立于处理器103，与移动通信模块112或其他功能模块设置在同一个器件中。
无线通信模块111可以提供应用在电子设备100上的包括无线局域网(wireless local area networks，WLAN)(如无线保真(wireless fidelity，Wi-Fi)网络)，蓝牙(bluetooth，BT)，全球导航卫星系统(global navigation satellite system，GNSS)，调频(frequency modulation，FM)，近距离无线通信技术(near field communication，NFC)，红外技术(infrared，IR)等无线通信的解决方案。无线通信模块111可以是集成至少一个通信处理模块的一个或多个器件。无线通信模块111经由天线2接收电磁波，将电磁波信号调频以及滤波处理，将处理后的信号发送到处理器103。无线通信模块111还可以从处理器103接收待发送的信号，对其进行调频，放大，经天线2转为电磁波辐射出去。
在一些实施例中，电子设备100的天线1和移动通信模块112耦合，天线2和无线通信模块111耦合，使得电子设备100可以通过无线通信技术与网络以及其他设备通信。所述无线通信技术可以包括全球移动通讯系统(global system for mobile communications，GSM)，通用分组无线服务(general packet radio service，GPRS)，码分多址接入(code division multiple access，CDMA)，宽带码分多址(wideband code division multiple access，WCDMA)，时分码分多址(time-division code division multiple access，TD-SCDMA)，长期演进(long term evolution，LTE)，BT，GNSS，WLAN，NFC，FM，和/或IR技术等。所述GNSS可以包括全球卫星定位系统(global positioning system，GPS)，全球导航卫星系统(global navigation satellite system，GLONASS)，北斗卫星导航系统(beidou navigation satellite system，BDS)，准天顶卫星系统(quasi-zenith satellite system，QZSS)和/或星基增强系统(satellite based augmentation systems，SBAS)。
电子设备100通过GPU，显示屏108，以及应用处理器等实现显示功能。GPU为图像处理的微处理器，连接显示屏108和应用处理器。GPU用于执行数学和几何计算，用于图形渲染。处理器103可包括一个或多个GPU，其执行程序指令以生成或改变显示信息。
显示屏108用于显示图像，视频等。显示屏108包括显示面板。显示面板可以采用液晶显示屏(liquid crystal display，LCD)，有机发光二极管(organic light-emitting diode，OLED)，有源矩阵有机发光二极体或主动矩阵有机发光二极体(active-matrix organic light emitting diode的，AMOLED))，柔性发光二极管(flex light-emitting diode，FLED)，Miniled，MicroLed， Micro-oLed，量子点发光二极管(quantum dot light emitting diodes，QLED)等。在本申请实施例中，电子设备100可以通过显示屏108提示用户做拉伸测试、坐起测试或站坐测试等指定动作，以及提示用户执行的次数/时长等。
扬声器107，也称“喇叭”，用于将音频电信号转换为声音信号。电子设备100可以通过扬声器107提示用户执行拉伸测试、坐起测试或站坐测试等指定动作，以及提示用户执行的次数/时长等。
请参考图2，图2示出了本申请提供的三种电子设备100的形态结构示意图。如图2中的(a)和图2中的(b)所示，电子设备100包括底板101、手柄102(包括第一手柄1021和第二手柄1022)和支架201。其中，支架201的一端连接在底板101上。支架的另一端与手柄102连接。
其中，底板101上设置有第一正极202、第一负极203、第二正极204和第二负极205。底板101上还设置有压力传感器或者压力薄膜(图2中的(a)和图2中的(b)未示出)。手柄102上设置有第三正极206、第三负极207、第四正极208和第四负极209。手柄102上还设置在有形变材料、触摸传感器、压力传感器或者压力薄膜(图2中的(a)和图2中的(b)未示出)。
示例性的，手柄102的结构可以参考图3所示的手柄剖面结构示意图。如图3所示，手柄102靠近外表面的位置设置有触摸传感器105A、正极片(如第三正极206或第四正极208)和负极片(如第三负极207或第四负极209)。手柄102中还设置有压力传感器或者压力薄膜。形变材料则充满了手柄102的其余位置。压力传感器或者压力薄膜可以根据施加在形变材料上的力导致的形变材料的变形情况，得到施加力的情况(包括施加例的施加位置和大小等)。
关于第一正极202、第一负极203、第二正极204、第二负极205、第三正极206、第三负极207、第四正极208、第四负极209、底板上的压力传感器/压力薄膜、形变材料、触摸传感器105A、压力传感器105B或者压力薄膜105C的介绍，可以参考上文中对图2的介绍，这里不做赘述。关于上述各个部分在肌肉健康指标测试过程中的具体实施细节，将在下文中具体展开。
在本申请实施例中，图2中的(a)和图2中的(b)的区别在于：图2中的(a)所示的电子设备100不包括显示屏，但是包括扬声器107。扬声器107可以用于提示用户执行指定操作(如第一操作或第二操作等)。图2中的(a)所示的电子设备100不包括扬声器，但是包括显示屏108。显示屏108可以用于提示用户执行指定操作(如第一操作或第二操作等)，以及，在一些情况下，显示屏108还可以用于向用户展示电子设备100分析得到的用户的人体肌肉健康程度。
需要说明的是，图2中的(a)和图2中的(b)所示的手柄102可以是可拉出手柄。可拉出手柄用于供用户拉出和收回，从而确定用户的上臂拉力等肌肉指标。其中，图2中的(a)和图2中的(b)示出的是可拉出手柄收回时的状态。可拉出手柄由收回状态转换为处于被拉出状态的过程，可以参考图4。图4以图2中的(a)所示的电子设备的可拉出手柄为例，示出了可拉出手柄的两种状态转换过程。在一些实施例中，手柄102可以通过弹性部件与电子设备100连接。弹性部件的一端设置有拉力传感器113。
当然，图2中的(a)和图2中的(b)仅作为两种电子设备100的形态结构示例。电 子设备100还可以是其他的形态结构。例如，电子设备100还可以既包括扬声器107，又包括显示屏108。又例如，电子设备100还可以是如图2中的(c)所示的结构。即电子设备100仅包括底板101、可拉出手柄102和扬声器107。其中，可拉出手柄102连接在底板101上；扬声器107设置在底板101上。或者，电子设备100还可以是其他的形态结构，对于电子设备100的具体形态结构，本申请不作具体限定。
本申请实施例提供一种检测人体肌肉健康程度的方法，该方法可以用于获取被测试人员(以下简称用户)的肌肉健康指标，从而根据用户的肌肉健康指标评估用户的人体肌肉健康程度，以便用户可以实时了解自己的肌肉健康状况，防患于未然。该方法可以通过具有图2中的(a)、图2中的(b)或者图2中的(c)所示形态结构或者类似形态结构，具有图1所示硬件结构或者类似硬件结构的电子设备100来实现。
以下结合图2中的(b)所示形态结构，具有图1所示硬件结构的电子设备100为例，具体介绍本申请实施例提供的检测人体肌肉健康程度的方法。其中，电子设备100的手柄102为可拉出手柄。
如图5所示，本申请提供的检测人体肌肉健康程度的方法可以包括以下步骤S501-S504：
S501、电子设备100在检测到手柄102被用户握持时，通过所述手柄和所述底板上设置的所述正负极片测量多个人体阻抗值，并基于所述测量获得的多个人体阻抗值，确定所述用户的四肢肌肉量。
在本申请实施例中，电子设备100可以根据手柄102上设置的压力传感器105B检测到手柄102被用户握持的时长超过预设时长(如3秒)时，确定手柄102被用户握持。
可以理解，由于手柄102的表面设置有触摸传感器105A，因此在用户手掌握持手柄102时，触摸传感器105A可以检测到。触摸传感器105A会将其检测到的触摸事件上报给应用程序层，以便应用程序层对该触摸事件进行响应。
请参考图6，图6示出了一种应用响应于用户的握持操作进行响应的原理示意图。如图6所示，响应于接收到用户握持手柄102的操作，手柄102通过相应的驱动向内核层610上报用户的上述握持操作产生的触摸事件(如触摸点位置、触摸操作强度和触摸操作时间等参数)。内核层610可以将握持事件封装后调用对应的应用程序接口(Application Program Interface，API)620向应用程序层630的用于检测人体肌肉健康程度的应用程序(以下简称“肌肉健康程度检测应用”)分发该握持事件，以便肌肉健康程度检测应用对该握持事件进行响应。关于内硬件层、内核层、API和应用程序层的详细信息，可以参考常规技术中的介绍和说明，本申请实施例中不做赘述。
示例性的，四肢肌肉量可以用四肢肌肉量指数(lean mass index，LMI)来表示。四肢LMI可以根据四肢总肌肉量和身高计算得到。例如，四肢LMI等于四肢总肌肉量与身高平方的比值。或者，四肢肌肉量还可以用体质量指数(body mass index，BMI)和体脂肪指数(fat mass index，FMI)来表示。其中，BMI等于体重与身高平方的比值。FMI等于体脂肪质量与身高平方的比值。或者，四肢肌肉量还可以用其他参数来表示，本申请实施例对此不作限定。
示例性的，对于手柄102上设置有正极片和负极片的电子设备100(如图1、图2中的(a)、图2中的(b)或图2中的(c)所示的电子设备)，在肌肉健康程度检测应用接收到硬件层上报的握持事件之后，电子设备100对握持事件的响应至少可以包括以下步骤(1) 和步骤(2)：
步骤(1)、电子设备100启动肌肉健康程度检测应用。
步骤(2)、电子设备100调用电源管理模块106和电池105，通过第一手柄1021和第二手柄1022上的第三正极、第三负极、第四正极和第四负极向用户手掌加载微小电流。同时，通过底板101上的第一正极、第一负极、第二正极和第二负极向用户脚掌加载微小电流。
在电子设备100执行完上述步骤(1)和步骤(2)之后，电子设备100执行以下步骤(3)-步骤(5)，得到用户的四肢肌肉量：
步骤(3)、电子设备100根据测量得到的用户左手到右手、左手到右脚、左手到左脚、右手到左脚、右手到右脚、左脚到右脚之间的电压值，分别计算得到多个阻抗值。
请参考图7，图7示出了人体阻抗示意图。如图7所示，左上肢的阻抗值为Z LH，右上肢的阻抗值为Z RH，左下肢的阻抗值为Z LF，右下肢的阻抗值为Z RF，躯干的阻抗值为Z T。
电子设备100根据测量得到的用户左手到右手、左手到右脚、左手到左脚、右手到左脚、右手到右脚、左脚到右脚之间的电压值，分别可以计算得到如图8中的(a)所示的Z LHRH、图8中的(b)所示的Z LHRF、图8中的(c)所示的Z LHLF、图8中的(d)所示的Z RHLF、图8中的(e)所示的Z RHRF和图8中的(f)所示的Z LFRF，共6个阻抗值。其中，Z LHRH是左手到右手之间的阻抗值。Z LHRF是左手到右脚之间的阻抗值。Z LHLF是左手到左脚之间的阻抗值。Z RHLF是右手到左脚之间的阻抗值。Z RHRF是右手到右脚之间的阻抗值。Z LFRF是左脚到右脚之间的阻抗值。
步骤(4)、电子设备100根据上述多个阻抗值计算得到左上肢、右上肢、左下肢、右下肢、躯干的阻抗值。
示例性的，左上肢的阻抗值
Figure PCTCN2021079630-appb-000001
右上肢的阻抗值
Figure PCTCN2021079630-appb-000002
左下肢的阻抗值
Figure PCTCN2021079630-appb-000003
右下肢的阻抗值
Figure PCTCN2021079630-appb-000004
躯干的阻抗值
Figure PCTCN2021079630-appb-000005
步骤(5)、电子设备100根据上述左上肢、右上肢、左下肢、右下肢、躯干的阻抗值，结合用户的身高、体重、年龄、性别等信息，使用经验模型，得到用户四肢及躯干的肌肉量。
其中，经验模型可以是常规技术中的任何经验模型，本申请实施例对此不作限定。
示例性的，用户的四肢肌肉量y可以采用以下经验模型计算得到：
Figure PCTCN2021079630-appb-000006
其中，Ht为用户身高。Z是用户的全身阻抗和，即Z＝Z LH+Z RH+Z LF+Z RF+Z T。Wt是用户体重。A是用户年龄。G是用户性别。a1、a2、a3、a4、a5、a6和a7为经验参数。
可以理解，肌肉内含有较多血液等水分，由于血液等水分可以导电，因此肌肉可以导电。而脂肪含水量低，因此脂肪的导电能力很弱。利用这个特性，当电子设备100通过手柄102和底板101上的电极片输入微电流到人体之后，便可以根据测量得到的电压值计算出多个阻抗值。进而计算出用户四肢及躯干的阻抗值。再根据用户的身高、体重等信息， 结合预先设置的算法模型，即可计算得到用户的四肢肌肉量。
需要说明的是，上述步骤(1)-步骤(5)介绍的生物阻抗分析BIA方法仅作为电子设备10获取用户四肢肌肉量的一种方法示例，本申请对电子设备100获取用户四肢肌肉量的方式和方法不作具体限定。任何常规的可以获取用户四肢肌肉量的方式和方法都可以适用于本申请提供的检测人体肌肉健康程度的方法。
S502、电子设备100在检测到手柄102被用户用力握持时，通过手柄102上设置的压力传感器105B检测手柄压力值，并基于检测获得的手柄压力值，确定用户的手部握力。
在本申请实施例中，电子设备100可以根据手柄102上设置的压力传感器105B检测到用户手部在手柄102上施加的压力值大于预设阈值(如25kg)，且手柄102被用户握持的时长超过预设时长(如3秒)确定用户用力握持手柄102。
在一些实施例中，电子设备100可以提示用户双手同时用力握持手柄102；也可以提示用户先一只手掌用力握持对应的手柄，再提示用户另一只手掌用力握持对应的手柄。或者，在电子设备100包括显示屏108的情况下，电子设备100还可以在显示屏上显示多个选项，并提示用户选择同时测量或者逐一测量。
在一些实施例中，电子设备100通过手柄102上设置的压力传感器105B/压力薄膜105C检测到的手柄压力值可以是用户用力握持手柄102的过程中的压力平均值(或者峰值压力)。
其中，在用户用力握持手柄102的过程中，压力传感器105B/压力薄膜105C检测到的压力变化为：压力值A→增大→压力值A。在压力传感器105B/压力薄膜105C检测到压力值由压力A突然增大时，电子设备100可以确定手部握力测试开启。在压力值恢复到压力了A时，电子设备100可以确定手部握力测试结束。
S503、电子设备100在检测到用户开始蹲起测试或坐站测试时，通过底板101上设置的压力传感器检测底板压力值，并基于检测获得的底板压力值，确定用户的下肢力量。
在一些实施例中，上述步骤S503可以包括：电子设备100可以提示用户站在底板101上，在第二预设时间内多次站起和蹲下。在电子设备100收到用户确认后或在提示的预设时间后，检测在第二预设时间内用户站起和蹲下的次数。然后，电子设备100基于检测的用户站起和蹲下的次数，确定用户的下肢力量。
请参考图9，图9示出了两种用于辅助电子设备100确定用户的下肢力量的操作示意图。如图9中的(a)所示，用户最初站在底板101上，之后用户从站立状态转换到蹲下状态。在用户从站立状态转换到蹲下状态的过程中，电子设备100通过设置在底板101上的压力传感器(或者压力薄膜)不断检测其受到的压力大小及压力的施加位置。
在本申请实施例中，电子设备100可以提示用户在第二预设时间内多次站起和蹲下，以便在第二预设时间长度合理(如足够用户完成多次站起和蹲下测试)时，可以结合用户的下肢肌肉耐力，评估用户的下肢力量。
在一些实施例中，上述步骤S503可以包括：电子设备100可以提示用户站在底板101上，完成第二预设次数的站起和/或蹲下操作。在电子设备100收到用户确认后或在提示的预设时间后，检测用户完成第二预设次数的站起和蹲下的时间。然后，电子设备100基于检测的用户完成第二预设次数的站起和蹲下的时间，确定用户的下肢力量。
在本申请实施例中，电子设备100可以提示用户完成第二预设次数的站起和/或蹲下操作，以便可以结合多次检测结果，综合评估用户的下肢力量。
在一些实施例中，上述步骤S503可以包括：电子设备100提示所述用户站在底板101上，在第三预设时间内多次站起和坐下。在电子设备100收到用户确认后或在提示的预设时间后，检测用户在第三预设时间内的站起和坐下的次数。然后，电子设备100基于检测的用户在第三预设时间内的站起和坐下的次数，确定用户的下肢力量。
如图9中的(b)所示，用户最初站在底板101上，之后用户从站立状态转换到坐在凳子上的状态。在用户从站立状态转换到坐在凳子上的状态的过程中，电子设备100通过设置在底板101上的压力传感器(或者压力薄膜)不断检测其受到的压力大小及压力的施加位置。
在本申请实施例中，电子设备100可以提示用户在第三预设时间内多次站起和坐下，以便在第三预设时间长度合理(如足够用户完成多次站起和坐下测试)时，可以结合用户的下肢肌肉耐力，评估用户的下肢力量。
在另一些实施例中，上述步骤S503可以包括：电子设备100提示用户站在底板101上，完成第三预设次数的站起和/或坐下操作。在电子设备100收到用户确认后或在提示的预设时间后，检测用户完成第三预设次数的站起和坐下的时间。然后，电子设备100基于检测的用户完成第三预设次数的站起和蹲下的时间，确定用户的下肢力量。
在本申请实施例中，电子设备100可以提示用户完成第三预设次数的站起和/或坐下操作，以便可以结合多次检测结果，综合评估用户的下肢力量。
需要说明的是，上述图9中的(a)是以用户从站在底板101上的状态转换到蹲在底板101上的状态为例的，图9中的(b)是以用户从站在底板101上的状态转换到坐在凳子上的状态为例作为示例的。电子设备100还可以提示用户从蹲在底板101上的状态转换到站在底板101上的状态，或者从坐在凳子上的状态转换到站在底板101上的状态。或者，电子设备100还可以提示用户从站在地面上的状态转换到坐在放置在凳子上的底板101上的状态等。本申请实施例对用于辅助电子设备100确定用户的下肢力量的操作的具体形式不作具体限定。
在一些实施例中，在电子设备100提示用户执行站起和蹲下操作时，电子设备100确定用户的下肢力量可以包括以下过程：
第一步：电子设备100记录通过压力传感器(或者压力薄膜)测量到的处于稳定状态的压力值。
其中，压力传感器(或者压力薄膜)测量到的用户处于稳定状态的压力值是用户站在底板101上时(如图9中的(b)所示的状态1)，用户脚掌施加在底板101上的压力值。通常，压力传感器(或者压力薄膜)测量到的用户处于稳定状态的压力值与用户的体重基本相同。或者，压力传感器(或者压力薄膜)测量到的处于稳定状态的压力值还可能是用户坐在凳子上，脚掌放在底板101上时(如图9中的(b)所示的状态2)，用户脚掌施加在底板101上的压力值。
第二步：电子设备100启动计时，并持续记录用户执行站起和蹲下操作过程中，通过压力传感器(或者压力薄膜)检测到的压力值。
第三步：电子设备100确定用户完成站起和蹲下操作。
具体的，对于站起和蹲下操作是用户在第二预设时间内多次站起和蹲下的情况，电子设备100确定第二预设时间结束时刻为用户完成站起和蹲下操作的时刻。对于站起和蹲下 操作是用户完成第二预设次数的站起和/或蹲下操作的情况，电子设备100以确定用户完成第二预设次数的最后一次蹲下的时刻为用户完成站起和蹲下操作的时刻。其中，电子设备100在检测到压力值逐渐增大直到趋于稳定，则认为用户蹲下。
在电子设备100提示用户在底板101上执行站起和坐下操作时，电子设备100获取用户的下肢力量也可以采用类似上述第一步-第三步的过程。区别仅在于，对于站立→坐下的过程，压力值由稳定→逐渐增大→突然减小；对于站立→蹲下的过程，压力值由稳定→逐渐增大→稳定。
在一些实施例中，电子设备100在检测到用户开始蹲起测试或坐站测试时，通过底板101上设置的压力传感器检测底板压力值，并基于检测获得的底板压力值，还可以确定用户的下肢爆发力。具体的，电子设备100在检测到用户开始蹲起测试或坐站测试时，可以通过底板101上设置的压力传感器检测压力平均值(或者压力峰值)和压力变化率平均值(或者压力变化率峰值)等。通过压力变化率平均值(或者压力变化率峰值)，结合压力平均值(或者峰值压力)，可以评估用户的下肢爆发力。
S504、电子设备100根据四肢肌肉量，手部握力和下肢力量，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定用户的肌肉健康程度。
在一些实施例中，电子设备100中可以预先存储有每一种肌肉健康指标的评估标准。电子设备100可以根据预先存储的每一种肌肉健康指标的评估标准，评估用户的每一项肌肉健康指标。
示例性的，四肢肌肉量状况可以根据以下表1所示的四肢肌肉量占比(单位：％)评估标准评估得到：
表1
年龄(岁) 性别 1分 2分 3分
20-30 男 55％-64％ 64％-73％ 73％-81％
20-30 女 50％-61％ 61％-69％ 69％-78％
40-50 男 54％-63％ 63％-72％ 72％-80％
40-50 女 50％-60％ 60％-68％ 68％-77％
50-55 男 52％-61％ 61％-70％ 70％-78％
50-55 女 48％-58％ 58％-66％ 66％-75％
55-60 男 50％-59％ 59％-68％ 68％-76％
55-60 女 46％-56％ 56％-64％ 64％-73％
60以上 男 49％-58％ 58％-67％ 67％-75％
60以上 女 45％-55％ 55％-63％ 63％-72％
用户的手部握力可以根据以下表2所示的手部握力(单位：公斤(kg))评估标准评估得到：
表2
年龄(岁) 性别 1分 2分 3分
20-30 男 29-40 40-56 ＞56
20-30 女 18-27 27-35 ＞35
40-50 男 28-39 39-55 ＞55
40-50 女 17-26 26-34 ＞34
50-55 男 26-37 37-53 ＞53
50-55 女 15-24 24-32 ＞32
55-60 男 23-34 34-50 ＞50
55-60 女 13-23 23-30 ＞30
60以上 男 20-31 31-45 ＞45
60以上 女 12-21 21-28 ＞28
关于用户的下肢力量的评估标准可以参考本申请实施例上述用户四肢肌肉量或用户的手部握力的评估标准。例如，根据完成预设次数的坐站测试(站起测试)所需要的时间标准，或者在预设时间内进行坐站测试(站起测试)的次数标准评估用户的下肢力量。或者，还可以参考常规技术中的评估标准，本申请实施例这里不做赘述。
需要说明的是，上述表1和表2仅作为示例，本申请实施例对肌肉健康指标的评估标准不做具体限定。例如，评估标准并不限于年龄和性别这两个维度，还可以包括身高、体重等维度。另外，不同评分对应的参数范围也可以根据实际情况调整等。
进一步的，电子设备100根据一项肌肉健康指标的评估结果综合确定用户的肌肉健康程度。例如，若用户的四肢肌肉量分数较低(如低于2分)，则可以认为用户有肌少症风险。若用户的四肢肌肉量分数较低(如低于2分)、且用户的下肢力量评分较低(如低于2分)，则可以认为用户四肢力量薄弱。
或者，电子设备100还可以将用户的肌肉健康程度换算成与该肌肉健康程度匹配的“肌肉健康年龄”。“肌肉健康年龄”越接近20-30岁，则代表肌肉健康状况越好。
需要说明的是，上述仅作为几种综合评估肌肉健康程度的示例，本申请实施例对评估肌肉健康程度的评估标准、方式或方法等均不做具体限定。
在另一些实施例中，电子设备100还可以将上述四肢肌肉量，手部握力和下肢力量检测结果发送给与电子设备100连接的便携设备，用于便携设备根据上述四肢肌肉量，手部握力和下肢力量，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定用户的肌肉健康程度。
其中，便携设备中可以预先存储有每一种肌肉健康指标的评估标准。便携设备可以根据预先存储的每一种肌肉健康指标的评估标准，评估用户的肌肉健康指标，得到用户的肌肉健康程度。
在一些实施例中，基于手柄102通过弹性部件与电子设备100连接，且弹性部件的一端设置有拉力传感器113的电子设备100，如图10所示，本申请实施例提供的检测人体肌肉健康程度的方法还可以包括以下步骤S1001：
S1001、电子设备100在检测到用户开始拉伸测试时，通过拉力传感器113检测拉力值，并基于检测获得的拉力值，确定用户的上臂拉力。
在一些实施例中，上述步骤S1001可以包括：电子设备100提示用户在第一预设时间内握持手柄102多次拉出和收回。电子设备100在收到用户确认后或在所述提示的预设时间后，检测在第一预设时间内手柄102被拉出和收回的次数。然后，电子设备100基于检 测的在第一预设时间内手柄102被拉出和收回的次数，确定用户的上臂拉力。
其中，在用户握持手柄102多次拉出和收回的过程中，拉力传感器113检测到的拉力变化为：0→增大→减小→0。在拉力传感器113检测到拉力值由0突然增大时，电子设备100可以确定拉出和收回操作开启。在拉力值恢复到0时，电子设备100可以确定拉出和收回操作结束。
在本申请实施例中，电子设备100可以提示用户在第一预设时间内握持手柄102多次拉出和收回，以便在第一预设时间长度合理(如足够用户完成多次拉出和收回)时，可以结合用户的上臂肌肉耐力，评估用户的上臂拉力。
在另一些实施例中，上述步骤S1001可以包括：电子设备100提示用户完成第一预设次数的手柄102拉出和收回操作。电子设备100在收到用户确认后或在提示的预设时间后，检测手柄102被用户拉出和收回第一预设次数所消耗的时间。然后，电子设备100基于检测到的手柄102被用户拉出和收回第一预设次数所消耗的时间，确定用户的上臂拉力。
在本申请实施例中，电子设备100可以提示用户完成第一预设次数的手柄102拉出和收回操作，以便可以结合多次检测结果，综合评估用户的上臂拉力。
在一些实施例中，电子设备100中可以预先存储有每一种肌肉健康指标的评估标准，包括上臂拉力的评估标准。其中，四肢肌肉量，手部握力和下肢力量可以参考上文中的评估标准。
示例性的，上臂拉力状况可以根据以下表3所示的上臂拉力(单位：牛顿(N))评估标准评估得到：
表3
年龄(岁) 性别 1分 2分 3分
20-30 男 450-550 550-650 ＞650
20-30 女 200-250 250-350 ＞350
40-50 男 420-520 520-620 ＞620
40-50 女 180-220 220-320 ＞320
50-55 男 370-470 470-570 ＞570
50-55 女 150-200 200-280 ＞280
55-60 男 290-390 390-490 ＞490
55-60 女 130-170 170-220 ＞220
60以上 男 270-370 370-470 ＞470
60以上 女 100-150 150-200 ＞200
需要说明的是，上述表3仅作为示例，本申请实施例对上臂拉力的评估标准不做具体限定。例如，评估标准并不限于年龄和性别这两个维度，还可以包括身高、体重等维度。另外，不同评分对应的参数范围也可以根据实际情况调整等。
在一些实施例中，电子设备100在检测到用户开始拉伸测试时，通过拉力传感器113检测拉力值，并基于检测获得的拉力值，确定用户的上臂爆发力。具体的，电子设备100在检测到用户开始拉伸测试时，可以通过拉力传感器113检测拉力平均值(或者峰值拉力)和拉力变化率峰值平均值(或者拉力变化率峰值)等。通过拉力变化率峰值平均值(或者拉力变化率峰值)，结合峰值拉力平均值(或者峰值拉力)，可以评估用户的上臂爆发力。
在电子设备100执行上述步骤S1001的情况下，如图10所示，上述步骤S504具体可以包括S1002：
S1002、电子设备100根据四肢肌肉量，手部握力，下肢力量和上臂拉力，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、上臂拉力，以及年龄和性别的对应关系，确定用户的肌肉健康程度。
在本申请实施例中，电子设备可以根据对用户的四肢肌肉量、用户的手部握力、用户的上臂拉力和用户的下肢力量等指标的评估结果，综合评估用户的肌肉健康程度。例如，若用户的四肢肌肉量分数较低(如低于2分)、且用户的上臂拉力评分较低(如低于2分)和/或用户的下肢力量评分较低(如低于2分)，则可以认为用户四肢力量薄弱。若用户的四肢肌肉量分数较低(如低于2分)、用户的上臂拉力评分较低(如低于2分)，且用户的下肢力量评分较低(如低于2分)，则可以认为用户的肌少症较严重。
在一些实施例中，如图11所示，本申请实施例提供的检测人体肌肉健康程度的方法还可以包括以下步骤S1101：
S1101、电子设备100从用户携带的便携设备获取用户在第四预设时间内的行走速度和/或路程。
在一些实施例中，电子设备100可以提醒用户携带便携设备，在第四预设时间内进行行走测试。其中，行走测试用于辅助便携设备获取运动参数(包括行走速度、行走路程或行走时心率等中的一项或多项)。便携设备可以包括手机、智能手环或智能手表等，或者还可以是便携式多媒体播放器(Portable Multimedia Player，PMP)等其他类型或功能的便携设备，本申请实施例对便携设备的具体类型和结构不作限定。
电子设备100与便携设备之间建立了通信连接。该通信连接可以是直接的，也可以是间接的。例如，电子设备100可以通过云端与便携设备建立通信连接。又如，在便携设备是智能手环时，电子设备100可以通过手机等终端与智能手环建立通信连接。示例性的，在本申请实施例中，电子设备100可以提示用户携带便携设备，完成5分钟快走测试。或者，电子设备100也可以提示用户携带便携设备，完成预设路程(如500m)的行走测试。本申请实施例对行走测试的具体实施细节不作具体限定。在本申请实施例中，运动参数至少用于表征所述用户的心肺耐力。
在本申请实施例中，便携设备可以借助便携设备中的GPS，在检测到用户位置发生变化时，启动测量。具体的，便携设备可以测量用户的配速。在一些实施例中，便携设备还可以测量用户行走过程中的心率。以及，在确定第四预设时间截止时，停止上述测量。
对于用户进行预设路程(如500m)的行走测试的情况，用户的运动参数可以包括用户完成上述预设路程所需要的时间、用户在行走过程中的配速情况或行走过程中的心率等中的一项或多项。
在电子设备100执行上述步骤S1101的情况下，如图11所示，上述步骤S504具体可以包括以下步骤S1102：
S1102、电子设备100根据四肢肌肉量，手部握力，下肢力量，在第四预设时间内的行走速度和/或路程，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、在第四预设时间内的行走速度和/或路程，以及年龄和性别的对应关系，确定用户的肌肉健康程度。
例如，若用户的四肢肌肉量分数较低(如低于2分)、用户的上臂拉力评分较低(如低于2分)、用户的下肢力量评分较低(如低于2分)，且用户的体能较差(如低于2分)，则可以认为用户的肌少症较严重。
需要说明的是，电子设备100也可以既执行上述步骤S1001，又执行上述步骤S1101，在这种情况下，上述步骤S504具体可以包括：电子设备100根据四肢肌肉量，手部握力，下肢力量，上臂拉力，在第四预设时间内的行走速度和/或路程，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、上臂拉力、在第四预设时间内的行走速度和/或路程，以及年龄和性别的对应关系，确定用户的肌肉健康程度。
另外，在一些实施例中，本申请实施例对电子设备100执行上述步骤S501、S502、S503、S1001和S1101的执行顺序不作具体限定。例如，电子设备100也可以先执行上述步骤S1101，在执行步骤S1001。
或者，在另一些实施例中，电子设备100也可以在确定用户的四肢肌肉量、手部握力、下肢力量和上臂拉力中的至少一个在人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、以及年龄和性别的对应关系中的对应结果为低于对应的参数阈值之后，执行上述步骤S1101。
可以理解，若用户的肌肉量参数、手部握力、下肢力量和上臂拉力中的至少一个低于对应的参数阈值，则用户患有肌少症的可能性较大。在这种情况下，为了进一步了解用户患有肌少症的可能性以及用户肌肉健康程度对用户体能的影响程度，电子设备100可以进一步提示用户执行步骤S1101，进行上述行走测试。
在一些实施例中，如图12所示，本申请实施例提供的检测人体肌肉健康程度的方法还可以包括以下步骤S1201：
S1201、电子设备100在检测到用户以第一状态站立在底板101上时，通过底板101上设置的压力传感器检测压力分布数据，并基于所检测到的压力分布数据获取用户的平衡能力。
其中，用户以第一状态站立在底板101上至少包括用户睁开眼睛单腿站立在底板101上、用户闭上眼睛单腿站立在底板101上或者用户闭上眼睛双腿站立在底板101上。
请参考图13，图13示出了两种用户闭上眼睛单腿站立在底板101上，压力薄膜检测到的压力分布图。如图13中的A所示，用户脚掌在底板101上的压力分布主要集中在人体脚掌的几个主要支撑点。而图13中的B示出的压力分布图中，用户脚掌在底板101上的压力分布较分散。因此，图13中的A对应的用户相比于图13中的B对应的用户，平衡能力更强。
在电子设备100执行上述步骤S1201的情况下，如图12所示，上述步骤S504具体可以包括以下步骤S1202：
S1202、电子设备100根据四肢肌肉量，手部握力，下肢力量和平衡能力，结合获取到的用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、平衡能力，以及年龄和性别的对应关系，确定用户的肌肉健康程度。
需要说明的是，电子设备100也可以既执行上述步骤S1001和/或S1101，又执行上述步骤S1201，在这种情况下，上述步骤S504具体可以包括：电子设备100根据四肢肌肉量，手部握力，下肢力量，上臂拉力和/或在第四预设时间内的运动参数，结合获取到的用户的 年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、上臂拉力和/或在第四预设时间内的运动参数，以及年龄和性别的对应关系，确定用户的肌肉健康程度。
另外，在一些实施例中，本申请实施例对电子设备100执行上述步骤S501、S502、S503、S1001、S1101和S1201的执行顺序不作具体限定。例如，电子设备100也可以先执行上述步骤S1201，在执行步骤S1101。
可以理解的是，电子设备为了实现上述任一个实施例的功能，其包含了执行各个功能相应的硬件结构和/或软件模块。本领域技术人员应该很容易意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，本申请能够以硬件或硬件和计算机软件的结合形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
本申请实施例可以对电子设备进行功能模块的划分，例如，可以对应各个功能划分各个功能模块，也可以将两个或两个以上的功能集成在一个处理模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。需要说明的是，本申请实施例中对模块的划分是示意性的，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式。
比如，以采用集成的方式划分各个功能模块的情况下，如图14所示，为本申请实施例提供的一种电子设备的结构框图。该电子设备100可以包括检测单元1410和处理单元1420。
其中，检测单元1410用于支持电子设备100检测手柄102是否被用户握持，手柄102是否被用户用力握持，检测用户用力握持手柄102时的手柄压力分布，检测用户的人体阻抗值，检测用户是否进行坐站测试/蹲起测试，在检测到用户进行坐站测试/蹲起测试时检测底板101上的压力分布，以及检测用户以第一状态站立在底板101上的压力分布等中的一项或多项，和/或用于本文所描述的技术的其他过程。处理单元1420用于支持电子设备100确定用户的四肢肌肉量，手部握力，下肢力量，上臂拉力或平衡能力等中的一项或多项，和/或用于本文所描述的技术的其他过程。
可选的，如图15所示，电子设备100还可以包括提示单元1430，用于提醒用户握持手柄102，提醒用户用力握持手柄102，提醒用户进行坐站测试/蹲起测试，提醒用户进行体能测试或者提醒用户进行平衡能力测试等中的一项或多项，和/或用于本文所描述的技术的其他过程。
可选的，如图16所示，在一些可能的结构中，电子设备100还可以包括通信单元1440。其中，通信单元1440用于支持电子设备100从与其建立了通信连接的便携设备获取用户在第四预设时间内的行走速度和/或路程等运动参数，和/或用于支持电子设备100将检测得到的肌肉健康指标发送给与其建立了通信连接的便携设备，以便便携设备进行进一步综合分析得到人体肌肉健康程度并将分析结果展示给用户，和/或用于本文所描述的技术的其他过程。
需要说明的是，上述通信单元1440采用的无线通信协议可以是射频，蓝牙，NFC，Wi-Fi，Zigbee等无线通信协议。示例性的，通信单元1440可以包括射频电路。具体的，电子设备可以通过射频电路进行无线信号的接收和发送。通常，射频电路包括但不限于天线、至少 一个放大器、收发信机、耦合器、低噪声放大器、双工器等。此外，射频电路还可以通过无线通信和其他设备通信。所述无线通信可以使用任一通信标准或协议，包括但不限于全球移动通讯系统、通用分组无线服务、码分多址、宽带码分多址、长期演进、电子邮件、短消息服务等。
应理解，电子设备100中的各个模块可以通过软件和/或硬件形式实现，对此不作具体限定。换言之，电子设备100是以功能模块的形式来呈现。这里的“模块”可以指特定应用集成电路ASIC、电路、执行一个或多个软件或固件程序的处理器和存储器、集成逻辑电路，和/或其他可以提供上述功能的器件。可选地，在一个简单的实施例中，本领域的技术人员可以想到电子设备100可以采用图17所示的形式。处理单元1420可以通过图17所示的处理器1710实现。通信单元1440可以通过图17所示的收发器1720来实现。具体的，处理器通过执行存储器中存储的计算机程序来实现。可选地，当电子设备100包括芯片时，那么通信单元1440的功能和/或实现过程还可以通过管脚或电路等来实现。可选地，所述存储器为所述芯片内的存储单元，比如寄存器、缓存等，所述存储单元还可以是所述计算机设备内的位于所述芯片外部的存储单元，如图17所示的存储器1730。
图17示出了根据本申请实施例的电子设备100的结构示意图。如图17所示，所述电子设备100包括：处理器1710和收发器1720。
其中，处理器1710可以用于支持电子设备100执行上述处理单元1420执行的过程，和/或用于本文所描述的技术的其他过程。收发器1720可以用于支持电子设备100执行上述通信单元1440执行的过程，和/或用于本文所描述的技术的其他过程。
可选地，电子设备100还包括存储器1730，存储器1730中可以存储上述方法实施例中的程序代码，以便于处理器1710调用。
具体地，若电子设备100包括处理器1710、存储器1730和收发器1720，则处理器1710、存储器1730和收发器1720之间通过内部连接通路互相通信，传递控制和/或数据信号。在一个可能的设计中，处理器1710、存储器1730和收发器1720可以通过芯片实现，处理器1710、存储器1730和收发器1720可以是在同一个芯片中实现，也可能分别在不同的芯片实现，或者其中任意两个功能组合在一个芯片中实现。该存储器1730可以存储程序代码，处理器1710调用存储器1730存储的程序代码，以实现电子设备100的相应功能。
在一种可选的方式中，当使用软件实现数据传输时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行所述计算机程序指令时，全部或部分地实现本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质，(例如软盘、硬盘、磁带)、光介质(例如DVD)、或者半导体介质(例如固态硬盘(solid statedisk，SSD))等。
结合本申请实施例所描述的方法或者算法的步骤可以硬件的方式来实现，也可以是由 处理器执行软件指令的方式来实现。软件指令可以由相应的软件模块组成，软件模块可以被存放于RAM存储器、闪存、ROM存储器、EPROM存储器、EEPROM存储器、寄存器、硬盘、移动硬盘、CD-ROM或者本领域熟知的任何其它形式的存储介质中。一种示例性的存储介质耦合至处理器，从而使处理器能够从该存储介质读取信息，且可向该存储介质写入信息。当然，存储介质也可以是处理器的组成部分。处理器和存储介质可以位于ASIC中。另外，该ASIC可以位于探测装置中。当然，处理器和存储介质也可以作为分立组件存在于探测装置中。
通过以上的实施方式的描述，所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，仅以上述各功能模块的划分进行举例说明，实际应用中，可以根据需要而将上述功能分配由不同的功能模块完成，即将装置的内部结构划分成不同的功能模块，以完成以上描述的全部或者部分功能。
在一种可选的方式中，本申请提供一种芯片系统，该芯片系统包括处理器、存储器，存储器中存储有指令；当指令被处理器执行时，实现本申请提供的任一种可能的实现方式中的检测人体肌肉健康程度的方法。该芯片系统可以由芯片构成，也可以包含芯片和其他分立器件。
在本申请所提供的几个实施例中，应该理解到，所揭露的用户设备和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅是示意性的，例如，所述模块或单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个装置，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是一个物理单元或多个物理单元，即可以位于一个地方，或者也可以分布到多个不同地方。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个可读取存储介质中。基于这样的理解，本申请实施例的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该软件产品存储在一个存储介质中，包括若干指令用以使得一个设备(可以是单片机，芯片等)或处理器(processor)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(read-only memory，ROM)、随机存取存储器(random access memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何在本申请揭露的技术范围内的变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以所述权利要求的保护范围为准。

Claims (22)

  1. 一种检测人体肌肉健康程度的方法，其特征在于，应用于电子设备，所述电子设备包括手柄和底板，所述手柄和所述底板上分别设置有正负极片和压力传感器；所述方法包括：
    所述电子设备在检测到所述手柄被用户握持时，通过所述手柄和所述底板上设置的所述正负极片测量多个人体阻抗值，并基于所述测量获得的多个人体阻抗值，确定所述用户的四肢肌肉量；
    所述电子设备在检测到所述手柄被所述用户用力握持时，通过所述手柄上设置的压力传感器检测手柄压力值，并基于所述检测获得的手柄压力值，确定所述用户的手部握力；
    所述电子设备在检测到所述用户开始蹲起测试或坐站测试时，通过所述底板上设置的压力传感器检测底板压力值，并基于所述检测获得的底板压力值，确定所述用户的下肢力量；
    所述电子设备根据所述四肢肌肉量，手部握力和下肢力量，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度。
  2. 根据权利要求1所述的方法，其特征在于，所述手柄为可拉出手柄，所述手柄通过弹性部件与所述电子设备连接，所述弹性部件的一端还设置有拉力传感器；所述方法还包括：
    所述电子设备在检测到所述用户开始拉伸测试时，通过所述拉力传感器检测拉力值，并基于所述检测获得的拉力值，确定所述用户的上臂拉力；
    所述电子设备根据所述四肢肌肉量，手部握力和下肢力量，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度，具体包括：
    所述电子设备根据所述四肢肌肉量，手部握力，下肢力量和上臂拉力，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、上臂拉力，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度。
  3. 根据权利要求2所述的方法，其特征在于，所述电子设备在检测到所述用户开始拉伸测试时，通过所述拉力传感器检测拉力值，并基于所述检测获得的拉力值，确定所述用户的上臂拉力，具体包括：
    所述电子设备提示所述用户在第一预设时间内握持所述手柄多次拉出和收回，在收到用户确认后或在所述提示的预设时间后，检测在所述第一预设时间内所述手柄被拉出和收回的次数；并基于所述检测的次数，确定所述用户的上臂拉力；或者，
    所述电子设备提示所述用户完成第一预设次数的手柄拉出和收回操作，在收到用户确认后或在所述提示的预设时间后，检测所述手柄被用户拉出和收回第一预设次数所消耗的时间；并基于所述检测到的时间，确定所述用户的上臂拉力。
  4. 根据权利要求1-3中任一项所述的方法，其特征在于，所述电子设备在检测到所述用户开始蹲起测试或坐站测试时，通过所述底板上设置的压力传感器检测底板压力值，并基于所述检测获得的底板压力值，确定所述用户的下肢力量，具体包括：
    所述电子设备提示所述用户站在所述底板上，在第二预设时间内多次站起和蹲下，在 收到用户确认后或在所述提示的预设时间后，检测在所述第二预设时间内用户站起和蹲下的次数；并基于所述检测的用户站起和蹲下的次数，确定所述用户的下肢力量；或者，
    所述电子设备提示所述用户站在所述底板上，完成第二预设次数的站起和/或蹲下操作，在收到用户确认后或在所述提示的预设时间后，检测用户完成第二预设次数的站起和蹲下的时间；并基于所述检测的用户完成第二预设次数的站起和蹲下的时间，确定所述用户的下肢力量；或者，
    所述电子设备提示所述用户站在所述底板上，在第三预设时间内多次站起和坐下，在收到用户确认后或在所述提示的预设时间后，检测用户在第三预设时间内的站起和坐下的次数；并基于所述检测的用户在第三预设时间内的站起和坐下的次数，确定所述用户的下肢力量；或者，
    所述电子设备提示所述用户站在所述底板上，完成第三预设次数的站起和/或坐下操作，在收到用户确认后或在所述提示的预设时间后，检测用户完成第三预设次数的站起和坐下的时间；并基于所述检测的用户完成第三预设次数的站起和蹲下的时间，确定所述用户的下肢力量。
  5. 根据权利要求1-4中任一项所述的方法，其特征在于，所述电子设备与便携设备之间建立了通信连接；所述方法还包括：
    所述电子设备从用户携带的便携设备获取所述用户在第四预设时间内的行走速度和/或路程；
    所述电子设备根据所述四肢肌肉量，手部握力和下肢力量，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度，具体包括：
    电子设备根据所述四肢肌肉量，手部握力，下肢力量，在第四预设时间内的行走速度和/或路程，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、在第四预设时间内的行走速度和/或路程，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度。
  6. 根据权利要求5所述的方法，其特征在于，在所述电子设备从用户携带的便携设备获取所述用户在第四预设时间内的行走速度和/或路程之前，所述方法还包括：
    所述电子设备确定所述用户的所述四肢肌肉量、所述手部握力、所述下肢力量和所述用户的上臂拉力中的至少一个在所述人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、以及年龄和性别的对应关系中的对应结果为低于对应的参数阈值。
  7. 根据权利要求1-6中任一项所述的方法，其特征在于，所述方法还包括：
    所述电子设备在检测到所述用户以第一状态站立在所述底板上时，通过所述底板上设置的压力传感器检测压力分布数据，并基于所检测到的压力分布数据获取所述用户的平衡能力；
    所述电子设备根据所述四肢肌肉量，手部握力和下肢力量，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度，具体包括：
    所述电子设备根据所述四肢肌肉量，手部握力，下肢力量和平衡能力，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、平 衡能力，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度；
    其中，所述用户以第一状态站立包括所述用户睁开眼睛单腿站立、闭上眼睛单腿站立或者闭上眼睛双腿站立。
  8. 一种电子设备，其特征在于，所述电子设备包括手柄、底板和处理单元，所述手柄和所述底板上分别设置有正负极片和压力传感器；
    所述手柄上的压力传感器用于，检测所述电子设备的手柄是否被用户握持；以及在检测到所述手柄被用户用力握持时，检测手柄压力值；
    所述正负极片用于测量多个人体阻抗值；
    所述底板上的压力传感器用于，在检测到所述用户开始蹲起测试或坐站测试时，检测底板压力值；
    所述处理单元用于获取所述正负极片测量的多个人体阻抗值，并基于所述测量获得的多个人体阻抗值，确定所述用户的四肢肌肉量；获取所述手柄上的压力传感器检测获得的手柄压力值，确定所述用户的手部握力；以及，获取所述底板上的压力传感器检测获得的底板压力值，确定所述用户的下肢力量；以及，根据所述四肢肌肉量，手部握力和下肢力量，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度。
  9. 根据权利要求8所述的电子设备，其特征在于，所述手柄为可拉出手柄，所述手柄通过弹性部件与所述电子设备连接，所述弹性部件的一端还设置有拉力传感器；
    所述拉力传感器用于，在检测到所述用户开始拉伸测试时，检测拉力值；
    所述处理单元还用于，基于所述检测获得的拉力值，确定所述用户的上臂拉力；
    所述处理单元根据所述四肢肌肉量，手部握力和下肢力量，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度，具体包括：
    所述处理单元根据所述四肢肌肉量，手部握力，下肢力量和上臂拉力，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、上臂拉力，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度。
  10. 根据权利要求9所述的电子设备，其特征在于，所述电子设备还包括：提示单元，用于提示所述用户在第一预设时间内握持所述手柄多次拉出和收回；
    所述处理单元基于所述检测获得的拉力值，确定所述用户的上臂拉力，具体包括：
    所述处理单元基于在收到用户确认后或在所述提示的预设时间后、所述用户拉伸测试过程中的拉力值，确定在所述第一预设时间内所述手柄被拉出和收回的次数；基于所述在所述第一预设时间内所述手柄被拉出和收回的次数，确定所述用户的上臂拉力。
  11. 根据权利要求9所述的电子设备，其特征在于，所述电子设备还包括：提示单元，用于提示所述用户完成第一预设次数的手柄拉出和收回操作；
    所述处理单元基于所述检测获得的拉力值，确定所述用户的上臂拉力，具体包括：
    所述处理单元基于在收到用户确认后或在所述提示的预设时间后、所述用户拉伸测试过程中的拉力值，确定所述手柄被用户拉出和收回第一预设次数所消耗的时间；以及，基于所述手柄被用户拉出和收回第一预设次数所消耗的时间，确定所述用户的上臂拉力。
  12. 根据权利要求10或11所述的电子设备，其特征在于，所述提示单元，还用于提示 所述用户站在所述底板上，在第二预设时间内多次站起和蹲下；
    所述处理单元基于所述检测获得的底板压力值，确定所述用户的下肢力量，具体包括：
    所述处理单元确定在收到用户确认后或在所述提示的预设时间后，所述用户在蹲起测试过程中的底板压力值，并根据获取的所述底板压力值确定在所述第二预设时间内用户站起和蹲下的次数；以及，基于在所述第二预设时间内用户站起和蹲下的次数，确定所述用户的下肢力量。
  13. 根据权利要求10或11所述的电子设备，其特征在于，所述提示单元，还用于提示所述用户站在所述底板上，完成第二预设次数的站起和/或蹲下操作；
    所述底板上的压力传感器在检测到所述用户开始蹲起测试或坐站测试时，检测底板压力值，具体包括：
    所述底板上的压力传感器在收到用户确认后或在所述提示的预设时间后，检测所述用户在蹲起测试过程中的底板压力值；
    所述处理单元基于所述检测获得的底板压力值，确定所述用户的下肢力量，具体包括：
    所述处理单元基于所述用户在蹲起测试过程中的底板压力值，确定用户完成第二预设次数的站起和蹲下的时间；
    所述处理单元基于用户完成第二预设次数的站起和蹲下的时间，确定所述用户的下肢力量。
  14. 根据权利要求10或11所述的电子设备，其特征在于，所述提示单元，还用于提示所述用户站在所述底板上，在第三预设时间内多次站起和坐下；
    所述底板上的压力传感器在检测到所述用户开始蹲起测试或坐站测试时，检测底板压力值，具体包括：
    所述底板上的压力传感器在收到用户确认后或在所述提示的预设时间后，检测所述用户在坐站测试过程中的底板压力值；
    所述处理单元基于所述检测获得的底板压力值，确定所述用户的下肢力量，具体包括：
    所述处理单元基于所述用户在坐站测试过程中的底板压力值，确定用户在第三预设时间内的站起和坐下的次数；
    所述处理单元基于用户在第三预设时间内的站起和坐下的次数，确定所述用户的下肢力量。
  15. 根据权利要求10或11所述的电子设备，其特征在于，所述提示单元，还用于提示所述用户站在所述底板上，完成第三预设次数的站起和/或坐下操作；
    所述底板上的压力传感器在检测到所述用户开始蹲起测试或坐站测试时，检测底板压力值，具体包括：
    所述底板上的压力传感器在收到用户确认后或在所述提示的预设时间后，检测所述用户在坐站测试过程中的底板压力值；
    所述处理单元基于所述检测获得的底板压力值，确定所述用户的下肢力量，具体包括：
    所述处理单元基于所述用户在坐站测试过程中的底板压力值，确定用户完成第三预设次数的站起和坐下的时间；
    所述处理单元基于用户完成第三预设次数的站起和蹲下的时间，确定所述用户的下肢力量。
  16. 根据权利要求8-15中任一项所述的电子设备，其特征在于，所述电子设备与便携设备之间建立了通信连接；所述电子设备还包括：
    通信单元，用于从用户携带的便携设备获取所述用户在第四预设时间内的行走速度和/或路程；
    所述处理单元根据所述四肢肌肉量，手部握力和下肢力量，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度，具体包括：
    所述处理单元根据所述四肢肌肉量，手部握力，下肢力量，在第四预设时间内的行走速度和/或路程，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、在第四预设时间内的行走速度和/或路程，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度。
  17. 根据权利要求16所述的电子设备，其特征在于，在所述通信单元从用户携带的便携设备获取所述用户在第四预设时间内的行走速度和/或路程之前，所述处理单元还用于，确定所述用户的所述四肢肌肉量、所述手部握力、所述下肢力量和所述用户的上臂拉力中的至少一个在所述人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、以及年龄和性别的对应关系中的对应结果为低于对应的参数阈值。
  18. 根据权利要求8-17中任一项所述的电子设备，其特征在于，
    所述底板上的压力传感器还用于，在检测到所述用户以第一状态站立在所述底板上时，通过所述底板设置的压力传感器检测压力分布数据；
    所述处理单元还用于，基于所述底板上的压力传感器所检测到的压力分布数据获取所述用户的平衡能力；
    所述处理单元根据所述四肢肌肉量，手部握力和下肢力量，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度，具体包括：
    所述处理单元根据所述四肢肌肉量，手部握力，下肢力量和平衡能力，结合获取到的所述用户的年龄和性别，以及人体肌肉健康程度与四肢肌肉量、手部握力、下肢力量、平衡能力，以及年龄和性别的对应关系，确定所述用户的肌肉健康程度；
    其中，所述用户以第一状态站立包括所述用户睁开眼睛单腿站立、闭上眼睛单腿站立或者闭上眼睛双腿站立。
  19. 一种电子设备，其特征在于，所述电子设备包括：存储器，用于存储计算机程序代码，所述计算机程序代码包括指令；
    处理器，用于执行所述指令，使得所述电子设备执行如权利要求1-7中任一项所述的检测人体肌肉健康程度的方法。
  20. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质上存储有计算机执行指令，所述计算机执行指令被处理电路执行时实现如权利要求1-7中任一项所述的检测人体肌肉健康程度的方法。
  21. 一种芯片系统，其特征在于，所述芯片系统包括处理电路、存储介质，所述存储介质中存储有指令；所述指令被所述处理电路执行时，实现如权利要求1-7中任一项所述的检测人体肌肉健康程度的方法。
  22. 一种计算机程序产品，其特征在于，所述计算机程序产品包括程序指令，所述程序指令被执行时，以实现如权利要求1-7中任一项所述的检测人体肌肉健康程度的方法。
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