WO2021000549A1 - Dispositif de détection d'état de santé et chaise de massage associée - Google Patents

Dispositif de détection d'état de santé et chaise de massage associée Download PDF

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WO2021000549A1
WO2021000549A1 PCT/CN2019/129705 CN2019129705W WO2021000549A1 WO 2021000549 A1 WO2021000549 A1 WO 2021000549A1 CN 2019129705 W CN2019129705 W CN 2019129705W WO 2021000549 A1 WO2021000549 A1 WO 2021000549A1
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detection
signal
health
blood oxygen
soreness
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PCT/CN2019/129705
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English (en)
Chinese (zh)
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王荣河
张荣光
李泉华
冯时
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奥佳华智能健康科技集团股份有限公司
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Priority to KR1020207033854A priority Critical patent/KR102496838B1/ko
Publication of WO2021000549A1 publication Critical patent/WO2021000549A1/fr

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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
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • A—HUMAN NECESSITIES
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    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
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    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H1/00—Apparatus for passive exercising; Vibrating apparatus; Chiropractic devices, e.g. body impacting devices, external devices for briefly extending or aligning unbroken bones
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H15/00—Massage by means of rollers, balls, e.g. inflatable, chains, or roller chains
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    • A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H2201/00—Characteristics of apparatus not provided for in the preceding codes
    • A61H2201/01—Constructive details
    • A61H2201/0119—Support for the device
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H2230/00—Measuring physical parameters of the user
    • A61H2230/08—Other bio-electrical signals
    • A61H2230/085—Other bio-electrical signals used as a control parameter for the apparatus
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H2230/00—Measuring physical parameters of the user
    • A61H2230/20—Blood composition characteristics
    • A61H2230/207—Blood composition characteristics partial O2-value
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H2230/00—Measuring physical parameters of the user
    • A61H2230/20—Blood composition characteristics
    • A61H2230/207—Blood composition characteristics partial O2-value
    • A61H2230/208—Blood composition characteristics partial O2-value used as a control parameter for the apparatus
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H2230/00—Measuring physical parameters of the user
    • A61H2230/65—Impedance, e.g. skin conductivity; capacitance, e.g. galvanic skin response [GSR]
    • A61H2230/655—Impedance, e.g. skin conductivity; capacitance, e.g. galvanic skin response [GSR] used as a control parameter for the apparatus

Definitions

  • the invention belongs to the field of electronic equipment, and particularly relates to a health detection device and a related massage chair.
  • the massage chair mainly has the function of massage and health care.
  • simulating the artificial massage of the Chinese medicine technician it can realize the purpose of relaxing the meridians, relieving mental pressure and promoting physical recovery.
  • people are increasingly concerned about their own health conditions, which also promotes the widespread application of more and more sensing detection technologies in the massage chair industry.
  • This makes the massage chair more versatile, more intelligent, humane and targeted. Among them, realizing the monitoring of the user's body function and health status is an important application.
  • the embodiments of the present invention provide a health detection device and a related massage chair to solve the problem of the user's low detection success rate and low accuracy of detection parameters in the process of collecting health data.
  • the first aspect of the embodiments of the present invention provides a health detection device, including:
  • the detection sensing device is arranged on the handle. When the user holds the handle, the detection sensing device is in contact with the skin of the hand, and is used to perform bioelectricity on the skin of the hand according to the instruction of the control circuit. Signal collection, and transmitting the collected bioelectric signal to the detection signal processing circuit;
  • the detection signal processing circuit is used to perform signal conversion processing on the bioelectric signal, and transmit the bioelectric signal after the signal conversion processing to the control circuit;
  • the control circuit has at least the following two functional modules: a detection state recognition functional module and a health data processing functional module;
  • the detection state recognition function module is used to determine whether the detected bioelectric signal is within a preset normal range
  • the health data processing function module performs hand skin data processing and analysis on the bioelectric signal.
  • the detection sensing device includes: blood oxygen detection sensing device;
  • the blood oxygen detection sensing device includes: a first light emitting diode, a second light emitting diode, and a photosensitive sensor;
  • the detection signal processing circuit includes: a blood oxygen signal processing sub-circuit;
  • the control circuit instructs the first light-emitting diode and the second light-emitting diode to work alternately to emit light signals to the skin of the hand;
  • the bioelectric signal includes: a light reflection signal reflected by the light signal irradiated to the skin of the hand;
  • the photosensitive sensor receives the light reflection signal, converts the light reflection signal into a light intensity electrical signal through the blood oxygen signal processing sub-circuit, and transmits it to the control circuit;
  • the detection state recognition function module includes: a blood oxygen detection state recognition module;
  • the blood oxygen detection state recognition module is used to receive the light intensity electrical signal through the blood oxygen signal processing sub-circuit, and identify whether the hand skin is in contact with the blood oxygen detection sensor according to the light intensity electrical signal The device makes effective contact.
  • the identifying whether the hand skin is in effective contact with the blood oxygen detection sensor device according to the light intensity electrical signal is specifically:
  • the control circuit samples the light intensity electrical signal N times in the first time period, and obtains the light signal voltage difference between the maximum value and the minimum value in the voltage amplitude of the light intensity electrical signal. By comparison, if the light signal voltage difference is greater than or equal to the first threshold value, it is determined that the part of the hand skin to be detected covers the blood oxygen detection sensor device photosensitive sensor; if the light signal voltage difference is If the value is less than the first threshold, it is determined that the portion to be detected of the hand skin does not cover the photosensitive sensor of the blood oxygen detection sensor device;
  • the N is an integer greater than one.
  • the method further includes:
  • the control circuit samples the light intensity electrical signal M times in the second time period, and analyzes the light intensity electrical signal in the third time period. If in the third time period, the light intensity electrical signal If there are at least 3 peaks in the waveform signal formed by the signal, it is determined that the part of the hand skin to be detected is in effective contact with the photosensitive sensor of the blood oxygen detection sensing device; if within the third time period, If at least three peaks do not appear in the waveform signal formed by the light intensity electrical signal, it is determined that the part to be detected of the hand skin is not in effective contact with the photosensitive sensor of the blood oxygen detection sensor device.
  • the M is an integer greater than one, and the third time period is the sum of the first time period and the second time period.
  • the health data processing function module includes: a blood oxygen data processing function module;
  • the blood oxygen data processing function module is used to detect the health data of pulse rate, blood oxygen, and heart rate variability of the hand skin based on the bioelectric signal, and analyze the health data based on the detection result of the health data. State the health index of hand skin.
  • the detection sensing device includes: soreness detection sensing device;
  • the soreness detection sensing device a first electrode sheet and a second electrode sheet;
  • the detection signal processing circuit includes: a sore signal processing sub-circuit;
  • the bioelectric signal includes: a voltage signal
  • the detection state recognition function module includes: a soreness detection state recognition module;
  • the soreness detection state recognition module is used to receive the voltage signal after signal conversion processing through the soreness signal processing sub-circuit, and identify whether the hand skin is effective with the soreness detection sensing device according to the voltage signal contact.
  • the identifying whether the hand skin is in effective contact with the soreness detection sensor device according to the voltage signal is specifically:
  • the health data processing function module includes: a soreness data processing function module;
  • the soreness data processing function module is used for analyzing and detecting soreness of the target part of the hand skin according to the voltage signal.
  • the health detection device further includes a massage device connected to the control circuit.
  • the control circuit directs the massage device to perform detection massage on different parts of the user's body.
  • the detection sensor The equipment synchronously collects bioelectric signals.
  • the second aspect of the embodiments of the present invention provides a massage chair with a health detection device, including:
  • the health detection device is electrically connected to the control system; the control system controls the massage device to perform corresponding massage operations on the user according to the health detection result provided by the health detection device;
  • the control system is in communication connection with the control and display device, and the control and display device is used to feed back the detection result of the health detection device.
  • the health detection device can collect the bioelectric signal of the hand skin through the detection sensor device, and then the detection signal processing circuit performs signal conversion processing on the bioelectric signal and transmits it to the control circuit.
  • the control circuit can be based on The bioelectric signal realizes the two functions of detection status recognition and health data processing; in the user detection process, according to the collected bioelectric signal, it is recognized whether the hand skin is in effective contact with the detection sensing device, so as to timely, Effectively identify whether the user correctly cooperates and operates the detection device according to the test requirements, and improves the accuracy and effectiveness of the health test.
  • Figure 1 is a schematic structural diagram of a health detection device provided by an embodiment of the present invention.
  • Figure 2 is a schematic structural diagram of a blood oxygen detection sensing device provided by an embodiment of the present invention.
  • Figure 3 is a schematic structural diagram of a soreness detection sensing device provided by an embodiment of the present invention.
  • Figure 4 is a schematic flowchart of a health detection method provided by an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of the physical structure of a massage chair provided by an embodiment of the present invention.
  • Figure 6 is a schematic diagram of the physical structure of a health detection device provided by an embodiment of the present invention.
  • An embodiment of the present application provides a health detection device, please refer to FIG. 1, including:
  • the detection and sensing device 101 is arranged on the handle, and when the user holds the handle, the detection and sensing device is in contact with the skin of the hand, and is used to perform biological treatment on the skin of the hand according to the instruction of the control circuit. Collecting electrical signals, and transmitting the collected bioelectric signals to the detection signal processing circuit;
  • the detection sensing device 101 may include: a blood oxygen detection sensing device 1011 and a soreness detection sensing device 1012.
  • the detection signal processing circuit 102 is configured to perform signal conversion processing on the bioelectric signal, and transmit the bioelectric signal after the signal conversion processing to the control circuit;
  • the signal conversion processing may include at least one of the following processing operations: signal conversion, amplification and filtering, noise reduction, and digitization. Specifically, according to the difference of the collected signals, the collected signals also need to undergo corresponding signal conversion processing; for example, if the collected signals are voltage signals for soreness detection, signal filtering, noise reduction, And signal amplification and other processing. If the collected signal is a light reflection signal used for blood oxygen detection, signal conversion, amplification and filtering, noise reduction and digitization are required.
  • control circuit 103 may be a Microcontroller Unit (MCU), which is used for data analysis and calculation in the health detection device.
  • MCU Microcontroller Unit
  • the control circuit 103 in the embodiment of the present application has at least the following two functional modules: a detection state recognition functional module and a health data processing functional module.
  • the detection state recognition function module is used to determine whether the detected bioelectric signal is within a preset normal range
  • the health data processing function module performs hand skin data processing and analysis on the bioelectric signal.
  • the detection state recognition function module also has different implementation methods.
  • the following is an example of blood oxygen detection and soreness detection:
  • blood oxygen detection mainly realizes the detection of health data such as pulse rate, blood oxygen, and heart rate variability, and then analyzes health indexes such as fatigue index and stress index based on these health data.
  • the detection sensor device used is the blood oxygen detection sensor device.
  • the blood oxygen detection sensor device 1011 includes: a first light emitting diode 1111, a second light emitting diode 1211, and a photosensitive sensor 1311;
  • the detection signal processing circuit used is the blood oxygen signal processing sub-circuit, which is used for signal conversion, amplification and filtering, noise reduction and digitization.
  • the control circuit instructs the first light-emitting diode and the second light-emitting diode to work alternately to emit light signals to the skin of the hand;
  • the bioelectric signal includes: a light reflection signal reflected by the light signal irradiated to the skin of the hand;
  • the photosensitive sensor receives the light reflection signal, converts the light reflection signal into a light intensity electrical signal through the blood oxygen signal processing sub-circuit, and transmits it to the control circuit;
  • the health data processing function module is a blood oxygen data processing function module; the blood oxygen data processing function module is used to perform pulses on the skin of the hand according to the bioelectric signal.
  • Health data such as blood rate, blood oxygen and heart rate variability, and analyze the health index of the hand skin based on the detection result of the health data.
  • the detection state recognition function module includes: a blood oxygen detection state recognition module;
  • the blood oxygen detection state recognition module is used to receive the light intensity electrical signal through the blood oxygen signal processing sub-circuit, and identify whether the hand skin is in contact with the blood oxygen detection sensor according to the light intensity electrical signal The device makes effective contact.
  • the method for detecting effective contact is: the control circuit samples the light intensity electrical signal N times in the first time period, and obtains the light intensity of the maximum and minimum voltage amplitudes of the light intensity electrical signal. The signal voltage difference value is compared with a first threshold value. If the light signal voltage difference value is greater than or equal to the first threshold value, it is determined that the portion to be detected of the hand skin covers the blood oxygen detection sensor device If the optical signal voltage difference is less than the first threshold, it is determined that the portion of the hand skin to be detected does not cover the blood oxygen detection sensing device; the N is an integer greater than one.
  • the control circuit performs M sampling of the light intensity electrical signal in the second time period, and performs a third The light intensity electrical signal in the time period is analyzed, and if in the third time period, the waveform signal formed by the light intensity electrical signal has at least three peaks, it is determined that the part of the hand skin to be detected Effective contact with the blood oxygen detection sensing device; if at least 3 peaks do not appear in the waveform signal formed by the light intensity electrical signal in the third time period, it is determined that the hand skin The part to be detected is not in effective contact with the blood oxygen detection sensor device.
  • the M is an integer greater than one
  • the third time period is the sum of the first time period and the second time period.
  • first time period, the second time period, the second time period, the first threshold, and the second threshold are all preset parameters and have no specific meaning.
  • control circuit can distinguish three types of finger state recognition through the above-mentioned method of detecting effective contact, which are: the finger not covering the sensor state, the finger covering the sensor state, and the finger effectively covering the sensor state.
  • finger not covering the sensor state indicates that the user's finger does not cover the blood oxygen detection sensor device, and prompts the user to adjust the placement of the finger.
  • finger covering sensor status indicates that the user's finger covers the sensor, but the sensor fails to collect the signal effectively. At this time, it may be because the user presses the sensor part too hard, causing the finger blood flow to be blocked and failing to achieve effective The signal is collected, so the user can be prompted to adjust the pressure of the finger.
  • finger effectively covers the sensor state indicates that the user's finger covers the sensor and the sensor effectively collects bioelectric signals, prompting the user to save the current finger posture and pressing force.
  • the detection sensor device used is the soreness detection sensor device.
  • the soreness detection sensing device 1021 a first electrode sheet 1121 and a second electrode sheet 1221.
  • the used detection state recognition function module is the soreness data processing function module; the used detection signal processing circuit is the soreness signal processing sub-circuit.
  • the soreness data processing function module is used for analyzing and detecting soreness of the target part of the hand skin according to the voltage signal.
  • the target part is the part of the human body covered by the soreness detection electrode sheet.
  • the detection state recognition function module is the soreness detection state recognition module.
  • the soreness detection state recognition module is used to receive the voltage signal after signal conversion processing through the soreness signal processing sub-circuit, and identify whether the hand skin is effective with the soreness detection sensing device according to the voltage signal contact.
  • the method for detecting effective contact is: calculating the equivalent resistance value between the first electrode sheet and the second electrode sheet according to the voltage signal, and if the equivalent resistance value is less than the second threshold, then It is determined that the to-be-detected part of the hand skin is in effective contact with the soreness detection sensor device; if the equivalent resistance value is greater than or equal to the second threshold, it is determined that the to-be-detected part of the hand skin is in contact with The soreness detection sensor device is not in effective contact.
  • the second threshold may be an infinite resistance value.
  • the skin impedance of the human body is in a specific limited range.
  • the impedance value of the human skin fluctuates in the range of 25-4000K ⁇ , that is, the first electrode plate and the
  • the resistance value collected at both ends of the two electrode sheets is in the range of 25-4000K ⁇ , and when loosened, both ends of the first electrode sheet and the second electrode sheet are equivalent to an open circuit, and the collected resistance is equivalent to infinity.
  • the identification of the soreness detection state is realized by analyzing the signal difference between the two states of holding the electrode pad and releasing the electrode pad.
  • the health detection device can collect the bioelectric signal of the hand skin through the detection sensor device, and then the detection signal processing circuit performs signal conversion processing on the bioelectric signal and transmits it to the control circuit.
  • the control circuit can be based on The bioelectric signal realizes the two functions of detection status recognition and health data detection; in the user detection process, according to the collected bioelectric signal, it is recognized whether the hand skin is in effective contact with the detection sensing device, so as to timely, Effectively identify whether the user correctly cooperates and operates the detection device according to the test requirements, and improves the accuracy and effectiveness of the health test.
  • this application realizes the detection status recognition of the user in the health detection by analyzing and processing the bioelectric signal on the basis of the original hardware equipment. It assists users in health testing, and realizes more abundant and practical functions on the basis of the same core components, which has outstanding beneficial effects.
  • the user can choose to perform blood oxygen detection, or soreness detection, or perform blood oxygen detection and soreness detection at the same time, which is not specifically limited here.
  • the voltage signal is collected by the soreness detection sensor device.
  • Soreness detection sensing equipment first electrode sheet and second electrode sheet.
  • Signal filtering, noise reduction, and signal amplification are performed on the collected original bioelectric signals through the sore signal processing sub-circuit.
  • the control circuit performs AD sampling on the signal processed in step S03, and calculates the equivalent resistance value of both ends of the first electrode sheet and the second electrode sheet according to the voltage obtained by sampling, such as the equivalent resistance value of the human skin If the impedance value is within the fluctuation range, it is determined that the user is holding the detection device correctly, and step S05 is executed; if it is detected that the equivalent resistance value is approaching infinity, it is determined that the user is not holding the detection device correctly, and then step S07 is performed.
  • the control circuit analyzes and processes the sampled signal to obtain the soreness detection result.
  • the blood oxygen detection sensor device collects the light reflection signal reflected by the light signal irradiated to the hand skin.
  • the blood oxygen detection sensor device includes: a first light emitting diode, a second light emitting diode and a photosensitive sensor.
  • the control circuit instructs the first light emitting diode and the second light emitting diode to work alternately to emit light signals to the skin of the hand, and the photosensitive sensor collects light reflection signals.
  • the detection signal processing circuit used is the blood oxygen signal processing sub-circuit, which is used for signal conversion, amplification and filtering, noise reduction and digitization.
  • the control circuit samples the light intensity electrical signal N times in the first time period, finds the light signal voltage difference between the maximum and minimum of the voltage amplitude of the light intensity electrical signal, and compares it with the first threshold, If the optical signal voltage difference is greater than or equal to the first threshold, it is determined that the portion of the hand skin to be detected covers the blood oxygen detection sensor device, and step S11 is executed; if the optical signal voltage If the difference is less than the first threshold, it is determined that the portion of the hand skin to be detected does not cover the blood oxygen detection sensor device, and step S14 is executed, where the N is an integer greater than one.
  • the control circuit After determining that the part of the hand skin to be detected covers the blood oxygen detection sensor device, the control circuit performs M sampling of the light intensity electrical signal in the second time period, and performs the sampling of the light intensity electrical signal in the third time period If at least 3 peaks appear in the waveform signal formed by the light intensity electrical signal in the third time period, then it is determined that the part to be detected of the hand skin and the The blood oxygen detection sensor device makes effective contact, and step S12 is executed; if at least 3 peaks do not appear in the waveform signal formed by the light intensity electrical signal in the third time period, it is determined that the hand The part of the skin to be detected is not in effective contact with the blood oxygen detection sensor device, and step S15 is executed.
  • the M is an integer greater than one
  • the third time period is the sum of the first time period and the second time period.
  • the control circuit analyzes and calculates the sampled signals to obtain the results of health data such as pulse rate, blood oxygen, and heart rate variability, and then analyzes health indexes such as fatigue index and stress index based on these health data.
  • health data such as pulse rate, blood oxygen, and heart rate variability
  • the control circuit judges whether it receives the end detection instruction sent by the massage chair control system, if it receives the end detection instruction, it ends the detection; if it does not receive the end detection instruction, it returns to step S02 and continues to collect the bioelectric signal.
  • the massage device is used to perform massage physical therapy actions on the user
  • the control system realizes the control of the massage device and the health detection device, and interacts with the control and display equipment.
  • the control and display device is used as a human-computer interaction interface, through which the user can select the corresponding massage program and control the functions of the massage chair. At the same time, the real-time working status of the massage chair, user detection status, and user health information are also presented to the user through the device.
  • the control and display device can be one or a combination of multiple devices including smart phones, tablets, hand controllers, LED indicators, color screen displays, switch buttons, etc.
  • the health detection device is in contact with the detection part of the human body to realize the collection of the user's biological signal, and output the user's health detection data and user detection status.
  • the detection modules are independent of each other and can be applied to massage chairs individually or combined to achieve multi-parameter detection.
  • the health detection device is a holdable device. For the specific content of the health detection device, refer to the first embodiment above.
  • the health detection device is electrically connected to the control system of the massage chair.
  • the two can realize data interactive communication through communication interfaces such as UART, SPI, I2C, etc.
  • the control system controls the start and stop of the health detection function, and at the same time, receives the detection of the health detection device Results and detection status.
  • Data communication and interaction between the control system and the control and display equipment can be realized through wireless communication methods such as Bluetooth, WiFi, mobile network (2G/3G/4G), and data can also be realized through wired communication interface methods such as UART, SPI, I2C, and USB Communication and interaction.
  • wireless communication methods such as Bluetooth, WiFi, mobile network (2G/3G/4G)
  • wired communication interface methods such as UART, SPI, I2C, and USB Communication and interaction.
  • the massage device 1.1 which performs massage physiotherapy actions on the user
  • the health detection device 1.2 which contacts the human body detection part, realizes the collection of the user's biological signal, and outputs the user's health detection data and user detection status for control system.
  • this component 1.2 can also include an LED indicator for displaying the detection status and a button 2.3 that can be operated by the user as one of the start and stop entrances of the detection function; this component 1.2 integrates all the detection modules into a structural component 2.4 as a massage A component on the chair, the user only needs to hold the structural part 2.4 (as shown in the detection schematic diagram in Figure 6) during detection, and cooperate with the massage device to assist in stimulation, which can realize the health detection and achieve the effect of convenient operation; control and display Device 1.3, as a human-computer interaction interface, the user can select the corresponding massage program through the device and control the functions of the massage chair.
  • the control system (not shown) is the core component of the entire massage chair, which realizes the control of the massage device and the health detection device , And interact with control and display devices.
  • the health detection device includes a handle, a detection sensor device, a detection signal processing circuit, and a control circuit.
  • the detection sensor device includes a blood oxygen detection sensor device and a soreness detection sensor device; the soreness detection sensor
  • the device contains two electrode pads (first electrode pad, second electrode pad) that are in contact with the user, and a detection signal processing circuit electrically connected to the electrode pads, and output to the health detection module control circuit in the form of analog signals for analysis Calculation.
  • the skin impedance of the human body is in a specific limited range.
  • the impedance value of the human skin fluctuates in the range of 25-4000K ⁇ , that is, the first electrode plate and the
  • the resistance value collected at both ends of the two electrode sheets is in the range of 25-4000K ⁇ , and when loosened, both ends of the first electrode sheet and the second electrode sheet are equivalent to an open circuit, and the collected resistance is equivalent to infinity.
  • the identification of the soreness detection state is realized by analyzing the signal difference between the two states of holding the electrode pad and releasing the electrode pad.
  • the blood oxygen detection sensing device includes a first light emitting diode, a second light emitting diode, a photosensitive sensor, a detection signal processing circuit and other sub-modules.
  • the first light-emitting diode, the second light-emitting diode and the photosensitive sensor are integrated in a circuit package, and are arranged on the same side of the detection part. Drive the first light-emitting diode and the second light-emitting diode to work alternately, part of the emitted light is absorbed and transmitted by the detection part, and part is reflected back to the photosensitive sensor.
  • the photosensitive sensor receives the light signal reflected from the detection part, and performs electrical signal conversion, amplification and filtering, noise reduction, digital processing by the blood oxygen signal processing circuit, and then the control circuit analyzes and calculates to realize the detection of the user's pulse rate, blood oxygen, etc. Data output.
  • the control circuit realizes the recognition of three finger states: the state of the sensor not covered by the finger, the state of covering the sensor by the finger, and the state of effectively covering the sensor by the finger according to the difference of the electrical signals under different finger states received after the opening detection.
  • the control and display device in this embodiment includes a tablet computer for interacting with a user, an LED indicator for displaying the detection status, and a button for the user to manipulate as one of the entrances of the detection function start and stop control.
  • the tablet computer interacts with the control system of the massage chair via Bluetooth/WIFI, the LED indicator for displaying the detection status and the button for the user to control as one of the detection function start and stop control entrances and the detection module control circuit Connection, controlled by the control system.
  • the control system controls the LED indicator to light blue; during the detection process, the control system controls the LED indicator to light yellow; when the detection is completed, it lights up green.
  • the massage device in this embodiment includes a massage head component for realizing the massage function, a motor and a drive circuit for driving the massage, and other components, which are wiredly connected to the control system.
  • the control system in this embodiment includes a drive circuit, a main control MCU, a power control circuit and other circuit modules that are communicatively connected with the above-mentioned input and output devices to realize the overall control of the functions of the massage chair.
  • This application provides a massage chair with the function of detecting parameters such as human pulse rate, blood oxygen, heart rate variability, fatigue index, pressure index, and the degree of soreness in main parts of the human body, so that users can enjoy the massage chair while using mobile phones and tablets. Wait for the display terminal to learn more about your physical signs and health status. In addition, effective identification of the user's detection status can also be realized. During the user detection process, timely and effectively identify whether the user correctly cooperates and operates the detection device in accordance with the test requirements, so as to improve the accuracy and effectiveness of the health detection.
  • the disclosed device/terminal device and method may be implemented in other ways.
  • the device/terminal device embodiments described above are only illustrative.
  • the division of the modules or units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units.
  • components can be combined or integrated into another system, 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 components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. 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 invention 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 module/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 computer readable storage medium.
  • the present invention implements all or part of the processes in the above-mentioned embodiments and methods, and can also be completed by instructing relevant hardware through a computer program.
  • the computer program can be stored in a computer-readable storage medium. When the program is executed by the processor, the steps of the foregoing method embodiments can be implemented.
  • the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file, or some intermediate forms.
  • the computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electrical carrier signal, telecommunications signal, and software distribution media.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • electrical carrier signal telecommunications signal
  • software distribution media any entity or device capable of carrying the computer program code
  • recording medium U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electrical carrier signal, telecommunications signal, and software distribution media.

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Abstract

La présente invention concerne un dispositif de détection d'état de santé, qui comprend: une poignée, un dispositif de capteur de détection (101), un circuit de traitement de signal de détection (102) et un circuit de commande (103); le dispositif de capteur de détection (101) est disposé sur la poignée et est utilisé pour acquérir des signaux bioélectriques sur la peau de la main en fonction d'une instruction du circuit de commande (103); le circuit de traitement de signal de détection (102) est utilisé pour effectuer un traitement de conversion de signal sur les signaux bioélectriques, et transmettre les signaux bioélectriques soumis au traitement de conversion de signal au circuit de commande (103); le circuit de commande (103) est pourvu d'au moins les deux modules fonctionnels suivants: un module de fonction d'identification d'état de détection et un module de fonction de traitement de données de santé; le module de fonction d'identification d'état de détection est utilisé pour identifier si la peau de la main est en contact efficace avec le dispositif de capteur de détection (101) en fonction des signaux bioélectriques; et lorsque le module d'identification d'état de détection détermine que les signaux bioélectriques se situent dans une plage normale, le module de fonction de traitement de données de santé réalise un traitement de données de peau de la main et une analyse sur les signaux bioélectriques.
PCT/CN2019/129705 2019-07-01 2019-12-30 Dispositif de détection d'état de santé et chaise de massage associée WO2021000549A1 (fr)

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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112089979A (zh) * 2020-07-02 2020-12-18 未来穿戴技术有限公司 颈部按摩仪及其健康检测方法以及计算机存储介质
CN113741265B (zh) * 2021-08-30 2022-09-20 九牧厨卫股份有限公司 一种基于健康监测的智能马桶控制方法、装置及可读介质

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104000580A (zh) * 2014-06-13 2014-08-27 深圳静下来文化发展有限公司 一种测试人体健康信息的方法及鼠标装置
CN104586601A (zh) * 2015-01-09 2015-05-06 深圳市前海安测信息技术有限公司 基于健康管理的智能按摩椅及按摩调整方法
CN205031271U (zh) * 2015-10-13 2016-02-17 咸阳衡源家居用品有限公司 社区智能健康体检的血氧测量系统
KR20170049171A (ko) * 2015-10-28 2017-05-10 주식회사 로하스테크 안마의자를 이용한 건강 관리 시스템
US20180085058A1 (en) * 2015-12-28 2018-03-29 Sensesemi Technologies Private Limited Smart Wearable Device for Health Watch
KR101898783B1 (ko) * 2016-11-10 2018-09-13 주식회사 바디프랜드 쌍방간 화상통신을 통해 사용자의 건강상태를 진단하고 의사소통을 통한 헬스케어 서비스를 제공하는 안마의자
CN208447576U (zh) * 2017-10-23 2019-02-01 浙江美泰创新科技有限公司 多参数检测仪

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW510789B (en) * 2001-03-01 2002-11-21 Sanyo Electric Co Massage machine and physiological quantity measuring device used in the same
US8360986B2 (en) * 2006-06-30 2013-01-29 University Of Louisville Research Foundation, Inc. Non-contact and passive measurement of arterial pulse through thermal IR imaging, and analysis of thermal IR imagery
CN103932863A (zh) * 2014-03-24 2014-07-23 翁小翠 具有动态监测人体健康状态的智能床
CN104116507B (zh) * 2014-07-01 2017-02-15 厦门蒙发利科技（集团）股份有限公司 一种家庭智能健康管理设备
KR102493491B1 (ko) * 2016-03-04 2023-01-31 삼성전자주식회사 생체 정보를 측정하는 전자 장치와 이의 동작 방법
CN106419887B (zh) * 2016-10-21 2019-09-24 上海与德信息技术有限公司 一种心率检测方法及系统
KR101879209B1 (ko) * 2017-05-16 2018-07-17 주식회사 바디프랜드 생체신호 인식을 통한 건강관리가 가능한 안마의자
CN108670706A (zh) * 2018-05-02 2018-10-19 上海久工实业有限公司 体征检测按摩椅、体征检测按摩椅系统及其工作方法
CN208926362U (zh) * 2018-08-08 2019-06-04 厦门大学 一种用于按摩仪的酸痛检测手柄

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104000580A (zh) * 2014-06-13 2014-08-27 深圳静下来文化发展有限公司 一种测试人体健康信息的方法及鼠标装置
CN104586601A (zh) * 2015-01-09 2015-05-06 深圳市前海安测信息技术有限公司 基于健康管理的智能按摩椅及按摩调整方法
CN205031271U (zh) * 2015-10-13 2016-02-17 咸阳衡源家居用品有限公司 社区智能健康体检的血氧测量系统
KR20170049171A (ko) * 2015-10-28 2017-05-10 주식회사 로하스테크 안마의자를 이용한 건강 관리 시스템
US20180085058A1 (en) * 2015-12-28 2018-03-29 Sensesemi Technologies Private Limited Smart Wearable Device for Health Watch
KR101898783B1 (ko) * 2016-11-10 2018-09-13 주식회사 바디프랜드 쌍방간 화상통신을 통해 사용자의 건강상태를 진단하고 의사소통을 통한 헬스케어 서비스를 제공하는 안마의자
CN208447576U (zh) * 2017-10-23 2019-02-01 浙江美泰创新科技有限公司 多参数检测仪

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