CN113925491A

CN113925491A - Sign detection method for bracelet and sign detection bracelet

Info

Publication number: CN113925491A
Application number: CN202010610246.6A
Authority: CN
Inventors: 郏东耀; 李玉娟
Original assignee: Shenzhen Huihuang Yaoqiang Technology Co ltd
Current assignee: Shenzhen Huihuang Yaoqiang Technology Co ltd
Priority date: 2020-06-29
Filing date: 2020-06-29
Publication date: 2022-01-14

Abstract

The application relates to the technical field of wearable equipment, in particular to a sign detection method for a bracelet. Determining the motion state and the posture of the bracelet according to the acceleration parameters acquired by the three-axis sensor; and when the motion state of the bracelet is static and the gesture is the detection gesture that the user wears the bracelet to carry out the sign detection, controlling the detection module to detect at least a set of body parameters of the user. This application still includes a sign detection bracelet. The technical scheme that this application provided can receive the motion parameter of triaxial sensor transmission in real time through the treater in order to confirm user's health, wear on one's body and can produce corresponding characteristic when being in the detection state when the bracelet, control this moment detects the module, and acquire corresponding health parameter, it is integrated with treater and triaxial sensor to detect the module, carry out the sign monitoring to it in real time according to user's state, the efficiency that human sign detected can be promoted greatly to this scheme.

Description

Sign detection method for bracelet and sign detection bracelet

Technical Field

The application relates to the technical field of wearable equipment, in particular to a sign detection method for a bracelet and the sign detection bracelet.

Background

In recent years, people have more advanced aging and faster life rhythm, and increasingly deep health consciousness brings forward the demand of rapidly detecting the physiological condition of the human body at any time, and different from the prior physical examination by professional equipment in professional environments such as a medical examination institution of a hospital clinic and the like, the new situation urgently needs a user to conveniently and rapidly acquire the physiological condition of the human body under the current condition at any time and any place. Even in ward monitoring, blood pressure, blood oxygen and heart rate are conventional physiological parameters and need to be frequently detected clinically as important bases for disease examination and medical outcome judgment, the conventional blood pressure, blood oxygen and heart rate measurement methods require manual operation of people, and various physiological parameters are detected from complicated connecting lines to patients by means of medical instruments. The problems of complex operation, long measuring time consumption, low efficiency and the like exist. Therefore, the invention provides a method for monitoring human body physiological indexes based on the intelligent bracelet, which replaces the manual operation link in the traditional measurement and simultaneously avoids the influence of subjective factors on the measurement result.

Based on the promotion of electronic equipment integrated ability, the reinforcing of performance, the reduction of energy consumption and the development of battery miniaturization and long continuation of the journey, based on detection, communication and the sensing scheme of intelligent bracelet and thrown into daily use, the bracelet monitoring form of adoption is small, portable is fit for long-time continuous use, can be used for the real-time detection of human sign.

Disclosure of Invention

The technical problem to be solved by the embodiment of the application is to provide a sign detection method for a bracelet, so as to quickly and conveniently detect human body sign parameters.

In order to solve the above technical problem, an embodiment of the present application provides a method for detecting a physical sign of a bracelet:

a sign detection method for a bracelet, comprising:

determining the motion state and the posture of the bracelet according to the acceleration parameters acquired by the three-axis sensor; and

when the motion state of confirming the bracelet is static to the gesture is that the user wears the bracelet and carries out the detection gesture that the sign detected, control detection module detects user's at least a set of body parameter.

Further, confirm that the motion state of bracelet is static to the gesture is that the user wears the bracelet for the user and carries out the detection gesture that sign detected, specifically includes:

calculating the sum of the accelerations of the bracelet according to the three acceleration components acquired by the three-axis sensor;

when the sum of the acceleration of the bracelet is gravity acceleration, determining that the bracelet is static;

the direction of the sum of the acceleration of the bracelet is used as the measuring direction, the bracelet is determined to be in a pressed state by pressure data acquired by a matched pressure sensor, and the posture of the bracelet is determined to be a detection posture.

Further, the control detection module detects at least one set of physical parameters of the user, and specifically includes:

controlling the emission unit to emit green light, red light and infrared light to irradiate the skin surface of the user, wherein the red light and the infrared light are alternately irradiated;

receiving reflected light of the green light, acquiring a pulse wave signal of a user according to the reflected light of the green light, and determining the blood pressure and/or the heart rate of the user based on the pulse wave signal;

the method comprises the steps of receiving red reflected light and infrared reflected light, obtaining hemoglobin reflected signals of a user according to the red reflected light, obtaining oxygen-containing hemoglobin reflected signals of the user according to the infrared reflected light, and determining the blood oxygen content of the user based on the oxygen-containing hemoglobin reflected signals and the hemoglobin reflected signals.

Further, the acquiring a pulse wave signal of the user according to the reflected light of the green light specifically includes:

continuously receiving the reflected light of the green light;

converting the reflected light of the green light into an amplitude signal by a photoelectric volume method;

the amplitude signal is continuously acquired to obtain a pulse wave signal.

Further, the determining the blood pressure and/or the heart rate of the user based on the pulse wave signal specifically includes:

determining a pulse maximum value and a pulse minimum value according to a continuous digital pulse wave signal;

determining the high pressure of the user according to the pulse maximum value;

determining the low pressure of the user according to the pulse minimum value;

and determining the heart rate of the user according to the occurrence frequency of the pulse maximum value or the pulse minimum value in the pulse wave signal.

Further, the determining the blood oxygen content of the user based on the oxygen-containing hemoglobin reflection signal and the hemoglobin reflection signal specifically includes:

respectively acquiring blood oxygen pulse waves according to the oxygen-containing hemoglobin reflection signals and the hemoglobin reflection signals;

according to the blood oxygen pulse wave, acquiring a direct current component waveform signal through low-pass filtering, and acquiring an alternating current component waveform signal through band-pass filtering;

eliminating noise of the alternating component waveform signal;

and determining the blood oxygen content of the user according to the difference value of the oxygen-containing hemoglobin reflected signal and the direct-current component waveform signal corresponding to the hemoglobin reflected signal and the difference value of the oxygen-containing hemoglobin reflected signal and the alternating-current component waveform signal corresponding to the hemoglobin reflected signal.

Further, when it is determined that the motion state of the bracelet is static and the gesture is a detection gesture for the user wearing the bracelet to perform physical sign detection, the method further includes:

acquiring data of a gyroscope;

combining a short-time integral angle in the data of the gyroscope with acceleration component data by adopting Kalman filtering to determine a turning angle;

and when the turning angle is larger than the preset angle, lightening the screen of the matched bracelet.

In order to solve the above technical problem, an embodiment of the present application provides a sign detection bracelet:

a physical sign detection bracelet comprises a detection module, a three-axis sensor and a processor respectively connected with the detection module and the three-axis sensor;

the three-axis sensor is used for acquiring the motion state and the posture of the bracelet;

the processor is used for controlling the detection module to detect at least one group of body parameters of the user when the motion state of the bracelet is static and the gesture is the detection gesture worn by the user, and determining at least one physical sign of the user according to the body parameters.

Furthermore, the detection module comprises a transmitting unit, an AD conversion circuit and a receiving unit, wherein the transmitting unit is electrically connected with the processor, and the transmitting unit is electrically connected with the processor through the AD conversion circuit;

the emission unit is used for emitting green light, red light and infrared light to irradiate the skin surface of a user;

the receiving unit is used for receiving the reflected light of the green light, the reflected light of the red light and the reflected light of the infrared light;

and the AD conversion circuit is used for converting the received reflected light of the green light, the reflected light of the red light and the reflected light of the infrared light into electric signals and filtering the electric signals.

Further, the processor comprises a main core and a slave core, the physical sign detection bracelet further comprises a pressure sensor, the main core is in communication connection with a matched upper computer, and the main core is respectively and electrically connected with matched output equipment and the slave core; the slave core is electrically connected with the three-axis sensor, the pressure sensor and the detection module respectively;

the pressure sensor is used for acquiring pressure data to determine that the bracelet is in a pressed state;

the slave core is used for receiving and processing data transmitted by the three-axis sensor, the pressure sensor and the detection module;

the main core is used for transmitting data to a matched upper computer and is also used for outputting the received data sent by the auxiliary core through matched output equipment.

Compared with the prior art, the embodiment of the application mainly has the following beneficial effects: through setting up the treater, detect module and triaxial sensor, and the motion parameter of receiving the transmission of triaxial sensor in real time through the treater is in order to confirm user's health, wear on one's body and can produce corresponding characteristic when being in the detection state when the bracelet at the user, the treater acquires corresponding characteristic through the triaxial sensor, confirm that user's health is in the detection state from this, the control detects the module and detects this moment, and acquire corresponding health parameter, it is integrated to detect module and treater and triaxial sensor, carry out the sign monitoring to it in real time according to user's state, the efficiency that human sign detected can be promoted greatly to this scheme.

Drawings

In order to illustrate the solution of the present application more clearly, the drawings that are needed in the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.

Fig. 1 is a flowchart of an embodiment of a method for detecting a physical sign of a bracelet according to the present application;

FIG. 2 is a flowchart of step S200 in FIG. 1;

FIG. 3 is a flowchart of step S300 in FIG. 1;

FIG. 4 is a flowchart of step S302 in FIG. 3;

FIG. 5 is a flowchart of step S303 in FIG. 3;

FIG. 6 is a flowchart of step S400 in FIG. 1;

fig. 7 is a schematic structural view of a sign detection bracelet according to the present application;

Detailed Description

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

A sign detection method for a bracelet, comprising:

step S100: determining the motion state and the posture of the bracelet according to the acceleration parameters acquired by the three-axis sensor;

specifically, the three-axis sensor can measure components in three directions of the gravity acceleration, can determine the accelerated motion, uniform linear motion or static state of the measured object according to the measured three components, and is favorable for measuring the turnover angle of the object approaching to the static state to determine the posture of the measured object

Step S200: determining that the motion state of the bracelet is static and the gesture is a detection gesture for a user wearing the bracelet to detect physical signs;

the motion state of judging the object through triaxial sensor measuring data is static to when the user is for detecting the gesture, start to detect the module and carry out data acquisition and can save the electric energy of bracelet when detecting the state beyond as far as. Wherein the detected posture is a static state after the user lifts the arm and rotates the wrist.

Step S300: the control detection module detects at least one group of physical parameters of the user.

The detection of concrete detection module needs to be handled with the help of the receiving and dispatching of signal, the precision that wants to promote the detection needs the algorithm optimization that will detect the module, the frequency that the signal acquireed promotes, the requirement of the hardware resource that from this brings is bigger, therefore control and detect the module and just detect when limited detection gesture, can be under the certain circumstances of electric quantity, the duration of effectual promotion bracelet, just so satisfied the bracelet promote the signal and obtain the frequency and use the more big algorithm's of hardware expense needs, the precision of bracelet detection method has so been promoted. In this embodiment, in order to increase the detection frequency, the transmission rate is set at 10500 baud rate, so that the detection module can refresh 2-3 times per second in the detection process.

Further, the step S200: confirm the motion state of bracelet for static to the gesture wears the bracelet for the user and carries out the detection gesture that sign detected, specifically includes:

step S201: calculating the sum of the accelerations of the bracelet according to the three acceleration components acquired by the three-axis sensor;

by measuring the three acceleration components and summing the vectors of the three acceleration components, the obtained acceleration value is the sum of the current gravitational acceleration of the bracelet and the acceleration generated by movement, the movement state of the acceleration can be determined by comparing the acceleration value with the gravitational acceleration, and the sum of the three acceleration components is obviously equal to the gravitational acceleration in the static and uniform linear movement states.

Step S202: when the sum of the acceleration of the bracelet is gravity acceleration, determining that the bracelet is static;

because uniform linear motion basically can not appear in the use scene of bracelet, so can be in quiescent condition through the accurate bracelet that measures of triaxial sensor.

Step S203: the direction of the sum of the acceleration of the bracelet is used as the measuring direction, the bracelet is determined to be in a pressed state by pressure data acquired by a matched pressure sensor, and the posture of the bracelet is determined to be a detection posture.

Specifically when the human body is walking and moving, the arm can swing back and forth, so that the periodic overweight and weightlessness phenomena can occur, the motion state and the posture of the user can be distinguished according to the sum of three accelerated speeds, the user can lift the wrist and turn the wrist inwards before the detection state in the embodiment, the action of lifting the wrist can be detected through the three accelerated speeds, the orientation of the bracelet can also be detected, and the user can be determined to turn the wrist. In this embodiment, still through the numerical value that detects pressure sensor, make the bracelet hug closely under the state of human skin when the user presses the bracelet, just confirm that the user is in the user state, in addition, can also cooperate the gyroscope to the upset of wrist to the reversal process of accurate tracking wrist. This scheme can be accurate confirm that the user is in the detection state, can promote the duration of a journey ability of bracelet.

Further, the step S300: the control detection module detects at least a set of physical parameters of user, specifically includes:

step S301: controlling the emission unit to emit green light, red light and infrared light to irradiate the skin surface of the user, wherein the red light and the infrared light are alternately irradiated;

the detection module applied in the embodiment is a three-in-one photoelectric sensor, which comprises a transmitting unit, a receiving unit and a detector which are sequentially connected; the emission unit is used for emitting green light, red light and infrared light; the receiving unit is used for converting the received optical signal into an electric signal; the detector is used for filtering the electric signals to obtain pulse wave signals and blood oxygen signals. Shine the human body and receive the return light through the trinity electric sensor of light and measure, can realize the collection of blood oxygen, blood pressure, heart rate data.

After the specific emitting unit emits green light, red light and infrared light, reflected light of the three lights is received through the receiving unit respectively, then through an AD conversion circuit in the detector, the optical signals are converted into electric signals with amplitude changes, the detector filters the electric signals to obtain pulse wave signals and blood oxygen signals, and then heart rate, blood oxygen and blood pressure data are obtained through monitoring of an integrated algorithm and are transmitted and displayed in real time. The detection module is electrically connected with the processor and is used for collecting pulse wave signals and blood oxygen signals of a user and transmitting the pulse wave signals and the blood oxygen signals to the system processor module.

The light irradiates the skin, the detected part has other tissues besides blood and blood vessels, certain signal noise is brought, the monitoring accuracy is influenced, and the green light has the highest anti-drying capacity. Therefore, the emission unit emits green light, and the receiving unit receives the light reflected by the body tissue, which is the main source of the optical signal in this embodiment, and during the blood oxygen detection, the red light and the infrared light are used for illumination because the electromagnetic waves with two specific wavelengths of red light and infrared light are needed.

Step S302: receiving reflected light of the green light, acquiring a pulse wave signal of a user according to the reflected light of the green light, and determining the blood pressure and/or the heart rate of the user based on the pulse wave signal;

the periodic contraction and relaxation of the human ventricle causes the contraction and relaxation of the aorta, causing the blood flow pressure to propagate in the form of waves, called pulse waves, from the aortic root along the entire arterial system. The signal containing the pulse wave of the human body is a pulse wave signal. The comprehensive information of the form, intensity, speed, rhythm and the like presented by the pulse wave reflects the blood flow characteristics of a plurality of physiological pathologies in the cardiovascular system of the human body to a great extent.

For blood pressure monitoring: the photoelectric sensor is used for collecting pulse wave signals according to the emitted green light, and then adopts a photoelectric volume pulse wave notation method to collect the pulse wave signals of the user by utilizing the characteristic that the blood in the blood vessel generates density change during pulsation to cause the change of light transmittance, thereby obtaining blood pressure data.

For heart rate monitoring: the method comprises the steps of emitting green light, receiving light reflected by a human body, obtaining an analog voltage signal through a photoelectric volume method, converting the analog signal into a digital signal to obtain digital data the same as the human body artery fluctuation, and detecting and obtaining the heart rate times and time information through a heartbeat algorithm, so that the heart rate data per minute can be obtained. When the heart rate is lower than or higher than the set threshold value of the normal human heartbeat, automatic reminding and alarming are easily realized.

Step S303: the method comprises the steps of receiving red reflected light and infrared reflected light, obtaining hemoglobin reflected signals of a user according to the red reflected light, obtaining oxygen-containing hemoglobin reflected signals of the user according to the infrared reflected light, and determining the blood oxygen content of the user based on the oxygen-containing hemoglobin reflected signals and the hemoglobin reflected signals.

The oxygenated hemoglobin in the blood absorbs more red light and less infrared light; hemoglobin absorbs more infrared light and less red light. The blood oxygen content can be measured by adopting an alternate irradiation mode according to the light emitting specific wavelength, so that the blood oxygen data can be further obtained.

For blood oxygen monitoring: when the blood oxygen signal of the user is detected, the blood oxygen content of the user can be determined according to the concentration of the hemoglobin and the oxygenated hemoglobin by alternately emitting infrared light and red light and receiving the reflection of the human body. This scheme can acquire more data through minimum illumination, has promoted the bracelet and has acquireed the efficiency of sign data.

Further, the step S302: obtaining a pulse wave signal of a user according to the reflected light of the green light, specifically comprising:

step S3021: continuously receiving the reflected light of the green light;

pulse wave continuous measurement mark can be obtained

Step S3022: converting the reflected light of the green light into an amplitude signal by a photoelectric volume method;

converting the pulse wave into an electric signal by a photoelectric solvent method through the continuously obtained reflected light;

photoplethysmography (PPG) is a non-invasive method for detecting changes in blood volume in living tissue by photoelectric means. When a light beam with a certain wavelength irradiates the surface of the skin at the finger end, the light beam is transmitted to the photoelectric receiver in a transmission or reflection mode, and the light intensity detected by the detector is weakened in the process due to the absorption attenuation effect of the skin muscle and blood at the detection end, wherein the absorption of the skin muscle, the tissue and the like to the light is kept constant in the whole blood circulation, the blood volume in the skin is changed in a pulsating mode under the action of the heart, the peripheral blood volume is the largest when the heart contracts, and the maximum detected light intensity is the smallest; when the heart is in diastole, on the contrary, the detected light intensity is the maximum, so the light intensity received by the light receiver is in pulsatile change, and the change signal of the light intensity is converted into an electric signal, so the change of the volume pulse blood flow can be obtained. It can be seen that the volume pulse blood flow includes many important physiological information of the cardiovascular system such as blood flow. Meanwhile, the volume pulse blood flow mainly exists in micro-arteries, capillaries and other micro-vessels in peripheral blood vessels, so the volume pulse blood flow also contains abundant micro-circulation physiological and pathological information, and is an important information source for researching human body circulation systems.

Step S3023: the amplitude signal is continuously acquired to obtain a pulse wave signal.

The converted electric signals are continuously output to obtain continuous pulse wave signals.

Further, the step S302: determining the blood pressure and/or the heart rate of the user based on the pulse wave signal, specifically comprising:

step S3024: determining a pulse maximum value and a pulse minimum value according to a continuous digital pulse wave signal;

the specific pulse wave comprises a peak and a trough after being formed, and the expansion pressure and the contraction pressure in the cycle of the heart jump are determined through the positions of the peak and the trough.

Step S3025: determining the high pressure of the user according to the pulse maximum value;

taking the maximum value of one period in the pulse wave as the expansion pressure;

step S3026: determining the low pressure of the user according to the pulse minimum value;

taking the minimum value of one period in the pulse wave as the systolic pressure;

step S3027: and determining the heart rate of the user according to the occurrence frequency of the pulse maximum value or the pulse minimum value in the pulse wave signal.

Under the scheme of improving the signal acquisition frequency, the scheme can accurately measure the blood pressure and the heart rate of a user.

Further, the step S303: determining the blood oxygen content of the user based on the oxygen-containing hemoglobin reflection signal and the hemoglobin reflection signal, specifically comprising:

step S3031: respectively acquiring blood oxygen pulse waves according to the oxygen-containing hemoglobin reflection signals and the hemoglobin reflection signals;

the blood oxygen pulse wave for measuring blood oxygen is obtained by red light and infrared light respectively according to the same principle of the green light pulse wave.

Step S3032: according to the blood oxygen pulse wave, acquiring a direct current component waveform signal through low-pass filtering, and acquiring an alternating current component waveform signal through band-pass filtering;

obtaining a direct current component waveform signal of the blood oxygen pulse wave through low-pass filtering, and obtaining an alternating current component waveform signal of the blood oxygen pulse wave through band-pass filtering;

step S3033: eliminating noise of the alternating component waveform signal;

carrying out noise analysis on the alternating current component waveform signal so as to obtain the noise detail characteristics of the alternating current component waveform signal; dynamically adjusting a noise threshold of waveform processing according to the noise detail characteristics, and eliminating noise of the alternating current component waveform signal according to the noise threshold;

step S3034: and determining the blood oxygen content of the user according to the difference value of the oxygen-containing hemoglobin reflected signal and the direct-current component waveform signal corresponding to the hemoglobin reflected signal and the difference value of the oxygen-containing hemoglobin reflected signal and the alternating-current component waveform signal corresponding to the hemoglobin reflected signal.

And calculating according to the direct current component waveform signal and the alternating current component waveform signal after waveform processing to obtain blood oxygen measurement data. The blood oxygen content of the user is determined according to the following formula:

wherein λ 1 is the wavelength of the reflected signal of red light, and λ 2 is the wavelength of the reflected signal of infrared light; AC represents the resulting alternating current component; DC represents the resulting direct current component; i represents light intensity; as Bs Cs are a predetermined constant.

step S400: and according to the data change of the gyroscope, lightening the screen of the matched bracelet.

And specifically comprises:

step S401: acquiring data of a gyroscope;

the gyroscope measures the angle change within a period of time through continuously measuring the change of a vector angle and an integral mode, can effectively track the dynamic angle change by acquiring the data of the gyroscope, and is particularly suitable for detecting the turning action.

Step S402: combining a short-time integral angle in the data of the gyroscope with acceleration component data by adopting Kalman filtering to determine a turning angle;

step S403: and when the turning angle is larger than the preset angle, lightening the screen of the matched bracelet.

This scheme is through the traceability with the help of the gyroscope to the angle change, judges the upset condition of bracelet, can effectively catch the action that the user turned over the wrist to light on in good time and extinguish the screen, be favorable to promoting the duration of the bracelet.

The embodiment further comprises an OLED screen display: the on and off of OLED screen display is judged after data fusion of an accelerometer and an optional additional gyroscope, after three-axis acceleration is subjected to smooth filtering, theta x, theta y and theta z are calculated through a simple trigonometric function, the precision stability is high in a sensor static state, but the acceleration data of the sensor is synthesized by gravity acceleration and arm acceleration during human body movement and changes along with weightlessness and overweight, the data needs to be further processed, Kalman filtering is adopted, and the short-time integral angle of the gyroscope is combined with the calculated data of the accelerometer, so that a more accurate angle can be obtained. The left-hand raising watch posture of a human body is divided into two actions of raising a hand and rotating a wrist, so that a hand raising window and an arm rotating window are set to judge whether a screen is lightened, the hand raising action is mentioned in a step number capturing algorithm, after the hand raising action is judged according to a time window, three angle windows theta x, theta y and theta z are sequentially judged and simultaneously met, the screen is lightened after the condition is met after 1 second delay, and if any one of the three angle windows is not met, the screen is abandoned. Judging again 5 seconds after the screen is on, if yes, keeping the screen on, and if not, turning off the screen.

Acceleration of gravity

The scheme can further save the power consumption of the bracelet, improve the cruising ability,

Furthermore, the detection module comprises a transmitting unit, an AD conversion circuit and a receiving unit, wherein the transmitting unit is electrically connected with the processor, and the transmitting unit is electrically connected with the main core through the AD conversion circuit;

Specifically, in this embodiment, the main core is responsible for sending and displaying the detected data to the DA 14580. The core is STM32F3 and is responsible for data processing and basic operation, a built-in processing algorithm and basic numerical operation such as digital-analog AD operation, data of a receiving unit and a sending unit and the like, and analog signals for realizing signal acquisition and filtering can be converted into digital signals. This scheme can be through sharing the function of main core from the core, guarantees the reliability of bracelet work.

Optionally, in this embodiment, the physical sign detection bracelet further includes a wireless transparent transmission module, the wireless transparent transmission module is electrically connected with the main core.

A wireless transparent transmission module; the wireless transparent transmission module transmits data information in a master-slave equipment mode. In this embodiment, the slave device is a bracelet disclosed in this embodiment, and the master device is a matching master control system, and includes a PC end or a network device connected to a server end, and the wireless transparent transmission module slave device is connected to a processor through a UART (Universal Asynchronous Receiver Transmitter/Transmitter), and then transmitted to the master device through the HC-08 wireless transparent transmission module, and the master control system can transmit the detection data in real time through the HC-08 wireless transparent transmission module, and display the detection data through the upper computer software. The system is convenient for doctors to monitor the physiological indexes of patients in real time, has real-time performance and flexibility, and greatly improves the efficiency and the user experience. The HC-08 wireless transparent transmission module is a new generation data transmission module based on Bluetooth Specification V4.0BLE Bluetooth protocol. The wireless working frequency band is 2.4GHzISM, and the modulation mode is GFSK. The maximum transmitting power of the module is 4dBm, the receiving sensitivity is-93 dBm, and 80-meter ultra-long distance communication can be realized with iphone4s in an open environment. The module adopts a CC2540F256 chip of TI, configures 256K byte space, supports AT instructions, and a user can change the role (master mode and slave mode), the serial port baud rate, the device name and other parameters according to the requirement, and the use is flexible. This scheme can undertake the communication task in the communication with supporting master control system, is favorable to the high-efficient operation of treater, prevents that the treater task from concentrating, promotes user's sign detection efficiency.

It is to be understood that the above-described embodiments are merely illustrative of some, but not restrictive, of the broad invention, and that the appended drawings illustrate preferred embodiments of the invention and do not limit the scope of the invention. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.

Claims

1. A sign detection method for a bracelet is characterized in that: the method comprises the following steps:

2. Sign detection method for bracelet according to claim 1, characterized in that: confirm the motion state of bracelet for static to the gesture wears the bracelet for the user and carries out the detection gesture that sign detected, specifically includes:

3. Sign detection method for bracelet according to claim 1, characterized in that: the control detection module detects at least a set of physical parameters of the user, and specifically comprises:

4. Sign detection method for bracelet according to claim 3, characterized in that: the obtaining of the pulse wave signal of the user according to the reflected light of the green light specifically includes:

continuously receiving the reflected light of the green light;

the amplitude signal is continuously acquired to obtain a pulse wave signal.

5. Sign detection method for bracelet according to claim 3, characterized in that: the determining the blood pressure and/or the heart rate of the user based on the pulse wave signal specifically includes:

determining the high pressure of the user according to the pulse maximum value;

determining the low pressure of the user according to the pulse minimum value;

6. Sign detection method for bracelet according to claim 3, characterized in that: the determining the blood oxygen content of the user based on the oxygen-containing hemoglobin reflection signal and the hemoglobin reflection signal specifically comprises:

eliminating noise of the alternating component waveform signal;

7. Sign detection method for bracelet according to claim 1 or 2, characterized in that: when the motion state of the bracelet is determined to be static and the gesture is the detection gesture that the user wears the bracelet to detect the physical sign, the method further comprises the following steps:

acquiring data of a gyroscope;

8. The utility model provides a sign detects bracelet which characterized in that: the device comprises a detection module, a three-axis sensor and a processor which is respectively connected with the detection module and the three-axis sensor;

9. Sign detection bracelet according to claim 8, characterized in that: the detection module comprises a transmitting unit, an AD conversion circuit and a receiving unit, wherein the transmitting unit is electrically connected with the processor, and the transmitting unit is electrically connected with the processor through the AD conversion circuit;

10. Sign detection bracelet according to claim 9, characterized in that: the physical sign detection bracelet is characterized by comprising a main core and a slave core, wherein the main core is in communication connection with a matched upper computer and is respectively and electrically connected with matched output equipment and the slave core; the slave core is electrically connected with the three-axis sensor, the pressure sensor and the detection module respectively;