CN111867449A

CN111867449A - Method and terminal device for measuring human physiological parameters

Info

Publication number: CN111867449A
Application number: CN201880090847.XA
Authority: CN
Inventors: 杨荣广; 孙士友; 席毅; 张斌; 贺彦国
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2018-03-09
Filing date: 2018-03-09
Publication date: 2020-10-30
Anticipated expiration: 2038-03-09
Also published as: CN111867449B; WO2019169636A1

Abstract

A method and a terminal device for measuring human body physiological parameters are provided, the method is applied to the terminal device, the terminal device comprises a pressure sensor (101) and a physiological parameter detection device (102), and the method comprises the following steps: acquiring a pressure value detected by the pressure sensor (101) (S210); and controlling the physiological parameter detection device (102) to detect (S220) according to the pressure value. The method for measuring the human physiological parameters is beneficial to ensuring the measurement accuracy of the human physiological parameters.

Description

Method and terminal device for measuring human physiological parameters

Technical Field

The present application relates to the field of electronic devices, and more particularly, to a method and a terminal device for measuring physiological parameters of a human body.

Background

Nowadays, a smart watch or a smart bracelet generally has a measurement function of photoplethysmography (PPG) and Electrocardiogram (ECG), and functional modules of the smart watch or the smart bracelet are fixed on the back of a watch case.

People are reluctant to wear wrist-watch or bracelet tightly for a long time to be used to, because too tightly can oppress blood circulation and lead to not suitable, especially when sports scenes such as running, the wrist-watch is in the wrist outside, because of the influence of wrist-watch received gravity and motion inertia, the table body and function module and skin can not closely laminate, and PPG ECG signal weak quality is poor, just can not extract effectual data and calculate, therefore measurement accuracy can not guarantee.

Disclosure of Invention

According to the method and the terminal equipment for measuring the human physiological parameters, the pressure sensor is used for detecting the pressure value, and the physiological parameter detection device is controlled to detect according to the detected pressure value, so that the measurement accuracy of the human physiological parameters is guaranteed.

In a first aspect, a method for measuring a physiological parameter of a human body is provided, and the method is applied to a terminal device, the terminal device comprises a pressure sensor and a physiological parameter detection device, and the method comprises the following steps: acquiring a pressure value detected by the pressure sensor; and controlling the physiological parameter detection device to detect according to the pressure value.

With reference to the first aspect, in some possible implementation manners of the first aspect, the terminal device includes a fixing mechanism, the terminal device is fixed to a human body through the fixing mechanism, and the controlling the physiological parameter detection device to perform detection according to the pressure value includes: when the pressure value is smaller than or equal to the first pressure threshold value, reminding a user to adjust the fixing mechanism; and after the fixing mechanism is adjusted, determining that the pressure value exceeds the first pressure threshold value, and controlling the physiological parameter detection device to detect.

According to the method for measuring the human physiological parameters, the pressure sensor is used for detecting the pressure value, and when the pressure value is determined to be smaller than or equal to the first pressure threshold value, the user is reminded to increase the fit tightness of the fixing mechanism and the user, so that the measurement accuracy of the human physiological parameters is guaranteed.

In some possible implementations, the number of the pressure values is one or more, and when the pressure value is less than or equal to the first pressure threshold, the user is prompted to adjust the fixing mechanism, including: when at least part of the one or more pressure values is smaller than or equal to the first pressure threshold value, reminding a user to adjust the fixing mechanism.

In some possible implementations, when the pressure value is less than or equal to the first pressure threshold, prompting the user to adjust the securing mechanism, including: when all of the one or more pressure values are less than or equal to the first pressure threshold, prompting a user to adjust the securing mechanism.

In some possible implementations, the terminal device further includes a display unit, which prompts a user to adjust the fixing mechanism, including: and controlling the display unit to output image signals or video signals to remind a user to adjust the fixing mechanism.

In some possible implementations, the terminal device further includes an audio circuit and a speaker, the prompting the user to adjust the fixing mechanism includes: and controlling the audio circuit and the loudspeaker to output voice signals so as to remind a user to adjust the fixing mechanism.

In some possible implementations, the terminal device further includes a vibration device that prompts a user to adjust the fixing mechanism, including: the vibration device is controlled to vibrate so as to remind a user to adjust the fixing mechanism.

With reference to the first aspect, in certain possible implementations of the first aspect, the terminal device includes a plurality of device groups, the plurality of device groups are arranged in different areas of the terminal device, each of the plurality of device groups includes a pressure sensor and a physiological parameter detection device, the pressure sensor and the physiological parameter detection device in each of the device groups correspond, and the pressure values are at least two pressure values detected by the pressure sensors in the plurality of device groups in the different areas.

With reference to the first aspect, in certain possible implementations of the first aspect, the controlling the physiological parameter detection device to detect according to the pressure value includes: when a first pressure value of the at least two pressure values is within a first pressure threshold range, controlling the physiological parameter detection device in each device group to detect to obtain a measurement value detected by the physiological parameter detection device in each device group; according to the at least two pressure values, determining a proportionality coefficient of the measured values detected by the physiological parameter detection device in each device group; and determining the physiological parameter of the user according to the proportion coefficient of the measured value detected by the physiological parameter detecting device in each device group and the measured value detected by the physiological parameter detecting device in each device group.

According to the method for measuring the human physiological parameters, the pressure sensors are used for detecting the pressure values of the multiple quadrants (regions), the weight of the signal detected by the multi-quadrant (region) physiological parameter detection device is determined, and the auxiliary signal is used for assisting in supplementing the main signal, so that the method is beneficial to eliminating signal noise and burst singular point signals.

With reference to the first aspect, in certain possible implementations of the first aspect, the controlling the physiological parameter detection device to detect according to the pressure value includes: when a first pressure value of the at least two pressure values is within a first pressure threshold range, determining a first physiological parameter detection device corresponding to the first pressure sensor, wherein the first pressure sensor acquires the first pressure value; and controlling the first physiological parameter detection device to detect to obtain the physiological parameters of the user.

The method for measuring the human physiological parameters comprises the steps that a plurality of pressure values of a plurality of quadrants (regions) are detected through a plurality of pressure sensors, the best wearing region is selected through the pressure values, the region with poor wearing loose signals is omitted, the later algorithm processing workload and accuracy of the signals can be optimized to a large extent, the measurement precision of the human physiological parameters is improved, and meanwhile, the power consumption of wearable equipment can be reduced, and the problem that light rays overflow and are dazzling is solved

With reference to the first aspect, in some possible implementations of the first aspect, the terminal device is a wearable device.

In some possible implementations, the wearable device is a smart watch or a smart bracelet.

In a second aspect, a terminal device is provided, which includes: the device comprises a processor, a pressure sensor and a physiological parameter detection device, wherein the processor is used for acquiring a pressure value detected by the pressure sensor; the processor is also used for controlling the physiological parameter detection device to detect according to the pressure value.

With reference to the second aspect, in some possible implementation manners of the second aspect, the terminal device includes a fixing mechanism, the terminal device is fixed to the human body through the fixing mechanism, and the processor is specifically configured to: when the pressure value is smaller than or equal to the first pressure threshold value, reminding a user to adjust the fixing mechanism; and after the fixing mechanism is adjusted, determining that the pressure value exceeds the first pressure threshold value, and controlling the physiological parameter detection device to detect.

With reference to the second aspect, in some possible implementations of the second aspect, the terminal device includes a plurality of device groups, the plurality of device groups are arranged in different areas of the terminal device, each of the plurality of device groups includes a pressure sensor and a physiological parameter detection device, the pressure sensor and the physiological parameter detection device in each of the device groups correspond, and the pressure values are at least two pressure values detected by the pressure sensors in the plurality of device groups in the different areas.

With reference to the second aspect, in some possible implementations of the second aspect, the processor is specifically configured to: when a first pressure value of the at least two pressure values is within a first pressure threshold range, controlling the physiological parameter detection device in each device group to detect to obtain a measurement value detected by the physiological parameter detection device in each device group; according to the at least two pressure values, determining a proportionality coefficient of the measured values detected by the physiological parameter detection device in each device group; and determining the physiological parameter of the user according to the proportion coefficient of the measured value detected by the physiological parameter detecting device in each device group and the measured value detected by the physiological parameter detecting device in each device group.

With reference to the second aspect, in some possible implementations of the second aspect, the processor is specifically configured to: when a first pressure value of the at least two pressure values is within a first pressure threshold range, determining a first physiological parameter detection device corresponding to the first pressure sensor, wherein the first pressure sensor acquires the first pressure value; and controlling the first physiological parameter detection device to detect to obtain the physiological parameters of the user.

With reference to the second aspect, in some possible implementations of the second aspect, the terminal device is a wearable device.

In a third aspect, a terminal device is characterized by comprising: the device comprises a processing module, a pressure acquisition module and a physiological parameter detection module, wherein the processing module is used for acquiring a pressure value detected by the pressure acquisition module; the processing module is also used for controlling the physiological parameter detection module to detect according to the pressure value.

With reference to the third aspect, in some possible implementation manners of the third aspect, the terminal device includes a fixing mechanism, the terminal device is fixed to the human body through the fixing mechanism, and the processing module is specifically configured to: when the pressure value is smaller than or equal to the first pressure threshold value, reminding a user to adjust the fixing mechanism; when the fixing mechanism is adjusted, the pressure value is determined to exceed the first pressure threshold value, and the physiological parameter detection module is controlled to detect.

With reference to the third aspect, in certain possible implementations of the third aspect, the terminal device includes a plurality of module groups, the plurality of module groups are arranged in different areas of the terminal device, each module group in the plurality of module groups includes a pressure acquisition module and a physiological parameter detection module, the pressure acquisition module and the physiological parameter detection module in each module group correspond, and the pressure values are at least two pressure values detected by the pressure sensors in the plurality of device groups in the different areas.

With reference to the third aspect, in some possible implementation manners of the third aspect, the processing module is specifically configured to: when a first pressure value of the at least two pressure values is within a first pressure threshold range, controlling a physiological parameter detection module in each module group to detect to obtain a measurement value detected by the physiological parameter detection module in each module group; according to the at least two pressure values, determining a proportionality coefficient of the measured values detected by the physiological parameter detection modules in each module group; and determining the physiological parameters of the user according to the proportion coefficient of the measured values detected by the physiological parameter detection modules in each module group and the measured values detected by the physiological parameter detection modules in each module group.

With reference to the third aspect, in some possible implementation manners of the third aspect, the processing module is specifically configured to: when a first pressure value of the at least two pressure values is within a first pressure threshold range, determining a first physiological parameter detection module corresponding to the first pressure acquisition module, wherein the first pressure acquisition module acquires the first pressure value; and controlling the first physiological parameter detection module to detect to obtain the physiological parameters of the user.

With reference to the third aspect, in some possible implementations of the third aspect, the terminal device is a wearable device.

In a fourth aspect, a method for measuring a physiological parameter of a human body is provided, the method is applied to a terminal device, the terminal device comprises a pressure sensor and a physiological parameter detection device, and the method comprises the following steps:

acquiring a pressure value detected by the pressure sensor;

acquiring a measured value detected by a physiological parameter detection device, and calculating to obtain a first human physiological parameter through the measured value;

and correcting the first human body physiological parameter according to the pressure value to obtain a second human body physiological parameter.

According to the method for measuring the human physiological parameters, the pressure value is used as a compensation calculation factor of the measurement accuracy to correct the final measurement result, and therefore the compensation algorithm can obtain the accurate human physiological parameters under different tightness degrees.

In a fifth aspect, a terminal device is provided, where the terminal device includes a processor, a pressure sensor and a physiological parameter detection device, where the processor is configured to obtain a pressure value detected by the pressure sensor; the processor is also used for obtaining the measured value detected by the physiological parameter detection device and calculating to obtain a first human physiological parameter according to the measured value; the processor is also used for correcting the first human body physiological parameter according to the pressure value to obtain a second human body physiological parameter.

In a sixth aspect, a terminal device is provided, where the terminal device includes a processing module, a pressure obtaining module and a physiological parameter detecting module, where the processing module is configured to obtain a pressure value detected by the pressure obtaining module; the processing module is also used for obtaining the measured value detected by the physiological parameter detection module and calculating to obtain a first human physiological parameter according to the measured value; the processing module is further used for correcting the first human body physiological parameter according to the pressure value to obtain a second human body physiological parameter.

In a seventh aspect, a terminal device is provided, where the terminal device includes a memory for storing instructions and a processor for calling the instructions in the memory to perform the operations of the method of the above aspects.

In an eighth aspect, there is provided a computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer mechanism to perform the method of the above aspects.

In a ninth aspect, there is provided a computer program product which, when run on a computer, causes the computer to perform the method of the above aspects.

Drawings

Fig. 1 is a schematic structural diagram of a smart watch according to an embodiment of the present application.

Fig. 2 is a schematic block diagram of a PPG module of an embodiment of the present application.

Fig. 3 is a schematic flow chart of a method of measuring a physiological parameter of a human body according to an embodiment of the present application.

Fig. 4 is another schematic structural diagram of a smart watch according to an embodiment of the present application.

Fig. 5 is a warning process for measuring a physiological parameter of a human body according to an embodiment of the present application.

Fig. 6 is another schematic flow chart of a method of measuring a physiological parameter of a human body according to an embodiment of the present application.

Fig. 7 is still another schematic structural diagram of a smart watch according to an embodiment of the present application.

Fig. 8 is still another schematic structural diagram of a smart watch according to an embodiment of the present application.

Fig. 9 is a further schematic flow chart of a method of measuring a physiological parameter of a human body according to an embodiment of the present application.

Fig. 10 is a cross-sectional configuration diagram of a smart watch according to an embodiment of the present application.

Fig. 11 is a schematic block diagram of a terminal device according to an embodiment of the present application.

Detailed Description

The technical solution in the present application will be described below with reference to the accompanying drawings.

The technical scheme of this application embodiment is applicable to in any terminal equipment that has human physiological parameter measurement function, and this terminal equipment can be wearable equipment, and for example, this wearable equipment is intelligent wrist-watch, intelligent bracelet and smart glasses etc..

First, a terminal device to which the embodiment of the present application is applied will be described by taking the smart watch 100 shown in fig. 1 as an example. In the embodiment of the present application, the smart watch 100 may include: a pressure sensor 101, a physiological parameter detection device 102, a wristband 103, a processor 104, a Radio Frequency (RF) circuit 105, a power supply 106, a memory 107, an input unit 108, a display unit 109, another sensor 110, an audio circuit 111, a speaker 112, and a vibration device 113. Those skilled in the art will appreciate that the configuration of the smart watch 100 shown in fig. 1 does not constitute a limitation of the smart watch, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.

The following describes the components of the smart watch 100 in detail with reference to fig. 1:

pressure sensor 101, this pressure sensor 101 can detect the casing deformation of nanometer, wears the pressure value at position through the wrist-watch backshell that detects intelligent wrist-watch 100 and user to the laminating of the position is closely spent with the user to reaction intelligent wrist-watch 100, this pressure sensor 101 can also send the pressure value that detects to treater 104.

In addition, the smart watch 100 may further include other sensors 110, and the other sensors 110 may be a temperature sensor, an acceleration sensor, an air pressure sensor, and the like. Specifically, a temperature sensor may be used to detect skin temperature, an acceleration sensor may be used to record motion data (e.g., number of motion steps), and a barometric pressure sensor may calculate altitude from barometric pressure at the user's location.

The physiological parameter detecting device 102 is configured to measure common human physiological parameters (e.g., heart rate and electrocardiogram), and may generally use a PPG module to measure the heart rate of a human body and an ECG module to measure the electrocardiogram of the human body.

The process of measuring the heart rate of a human will be described below.

Fig. 2 shows a schematic diagram of a PPG module, as shown in fig. 2, the PPG module includes an Emitting Light component 1021 and a receiving Light component 1023, in short, a method for measuring heart rate may be based on the principle of absorption of Light by a substance, a Light Emitting Diode (LED) lamp in the Emitting Light component 1021 in the PPG module of the wearable device is used in combination with a photosensitive photodiode to illuminate blood, and as the green Light is absorbed by different volumes of blood in a blood vessel, the blood flow rate increases and the absorption amount of green Light increases during heartbeat; the blood flow decreases in the beating gap of the heart, and the green light absorption decreases accordingly. Thus, heart rate can be measured from the absorbance of blood.

Specifically, when a light beam of a certain wavelength is irradiated onto the skin surface, the light beam will pass through the skin to the light receiving component 1023, during which the intensity of the light detected by the light receiving component 1023 will decrease due to attenuation by absorption by skin muscles and blood. The reflection of the skin, bones, meat, fat, etc. of the human body to light is a fixed value, and the capillary vessels are continuously increased and decreased with the pulse volume under the action of the heart. When the heart contracts, the peripheral blood volume is the largest, the light absorption amount is also the largest, and the light intensity detected by the light receiving component 1023 is the smallest; at diastole, on the contrary, the detected light intensity is maximum, so that the light intensity received by the light receiving component 1023 pulsatory changes accordingly.

It should be understood that the above is only an example of the heart rate measurement, and the physiological parameter detecting device 102 of the smart watch 100 may also detect other physiological parameters, such as cardiac electricity, blood oxygen or blood pressure, etc., which is not limited in this application.

It should also be understood that the measurement of the physiological parameters of the human body, such as the electrocardiogram, the blood oxygen or the blood pressure, requires the corresponding sensing module to be reliably contacted with the skin.

The processor 104 is a control center of the smart watch 100, connects various parts of the entire smart watch using various interfaces and lines, performs various functions of the smart watch 100 and processes data by running or executing software programs and/or modules stored in the memory 107 and calling data stored in the memory 107, thereby implementing various services based on the smart watch 100. Alternatively, processor 104 may include one or more processing units; preferably, the processor 104 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 104. The processor 104 may judge a relationship between the pressure value detected by the pressure sensor 101 and the pressure threshold value, and may control the display unit 109 to output an image signal or a video signal when it is determined that the detected pressure value is less than the pressure threshold value; or may send signaling to the audio circuit 111, speaker 112 to trigger a voice alert, or may control the vibration device 113 to vibrate, thereby alerting the user to shorten the length of the wristband 103. In addition, the processor 104 can also process the signal detected by the physiological parameter detecting device 102 to obtain the physiological parameter of the human body.

The RF circuit 105 may be used for reception and transmission of signals, and in general, the RF circuit 105 includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuitry 105 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.

The memory 107 may be used to store software programs and modules, and the processor 104 executes various functional applications and data processing of the smart watch 100 by executing the software programs and modules stored in the memory 107. The memory 107 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, etc.) created according to the use of the smart watch 100, and the like. In addition, the memory 107 may include high speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid state storage device, and the pressure thresholds for the smart watch 100 and the wearing part when the physiological parameter is normally detected may be stored on the memory 107 for calculation of the logic process.

The input unit 108 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the smart watch 100. Specifically, the input unit 108 may include a touch panel 181 and other input devices 182. The touch panel 181, also referred to as a touch screen, may collect touch operations of a user (e.g., operations of the user on the touch panel 181 or near the touch panel 181 using any suitable object or accessory such as a finger or a stylus), and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 181 may include two parts, i.e., a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 104, and can receive and execute commands sent by the processor 104. In addition, the touch panel may be implemented in various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 108 may include other input devices 182 in addition to the touch panel 181. In particular, other input devices 182 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 109 may be used to display information input by the user or information provided to the user, as well as various menus of the smart watch 100. When the processor 104 determines that the pressure value detected by the pressure sensor 101 is less than or equal to the first pressure threshold, the display unit 109 may be controlled to display wearing looseness, so as to remind the user to shorten the length of the wristband 103. The Display unit 109 may include a Display panel 191, and optionally, the Display panel 191 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Display (OLED), or the like. Further, the touch panel 181 may cover the display panel 191, and when the touch panel 181 detects a touch operation on or near the touch panel, the touch panel is transmitted to the processor 104 to determine the type of the touch event, and then the processor 104 provides a corresponding visual output on the display panel 191 according to the type of the touch event. Although in fig. 1, the touch panel 181 and the display panel 191 are two separate components to implement the input and output functions of the smart watch 100, in some embodiments, the touch panel 181 and the display panel 191 may be integrated to implement the input and output functions of the smart watch 100.

The audio circuitry 111, the speaker 112 may provide an audio interface between the user and the smart watch 100. When the processor 104 determines that the pressure value detected by the pressure sensor 101 is less than or equal to the first pressure threshold, the pressure value may be output through the audio circuit 111 and the speaker 112 to remind the user to shorten the length of the wristband 103 of the smart watch 100. The audio circuit 111 may transmit the electrical signal converted from the received audio data to the speaker 112, and convert the electrical signal into a sound signal for output by the speaker 112.

The vibration device 113 may alert the user to pay attention by vibration, and when the processor 104 determines that the pressure value detected by the pressure sensor 101 is less than or equal to the first pressure threshold, the vibration device 113 may also alert the user to shorten the length of the wristband 103 of the smart watch 100.

The smart watch 100 also includes a power source 106 (e.g., a battery) for powering the various components, which may preferably be logically connected to the processor 104 via a power management system to manage charging, discharging, and power consumption via the power management system.

Although not shown, the smart watch 100 may further include a camera, a bluetooth module, a Wireless Fidelity (WIFI) module, and the like, which are not described herein again.

It should be noted that the smart watch 100 shown in fig. 1 is only an example of a terminal device, and the embodiment of the present application is not particularly limited, and the embodiment of the present application may be applied to terminal devices such as a smart bracelet, and smart glasses, and the embodiment of the present application does not limit the application.

Fig. 3 shows a schematic flow chart of a method 200 for measuring a physiological parameter of a human body by a smart watch 100 according to an embodiment of the present application, and as shown in fig. 3, the method 200 is applied to the smart watch 100 shown in fig. 1, and the smart watch 100 includes at least one pressure sensor 101 and at least one physiological parameter detection device 102.

The method 200 for measuring physiological parameters of a human body according to the embodiment of the present application is described below with reference to the smart watch 100 of fig. 1:

s210, the processor 104 acquires a pressure value detected by the pressure sensor 101;

s220, the processor 104 controls the physiological parameter detecting device 102 to detect according to the pressure value.

For example, when the user is about to enter an exercise scene such as running, the user clicks the smart watch 100 to select a physiological parameter measurement (for example, heart rate, electrocardiogram or blood pressure measurement), the pressure sensor 101 of the smart watch 100 detects a pressure value and sends the pressure value to the processor 104, and the processor 104 controls the physiological parameter detection device 102 to detect the pressure value according to the pressure value detected by the pressure sensor 101, and then calculates a physiological parameter value of the user.

It should be understood that the application scenario for measuring the human physiological parameters may be that the user clicks the display unit of the smart watch 100 to enter the measurement mode when entering an exercise scenario such as running, or the smart watch defaults to enter the measurement mode at a predetermined time point (for example, 0, 8 am and 8 pm) when the smart watch is factory set, so as to implement automatic detection.

Optionally, the processor 104 controls the physiological parameter detecting device 102 to detect according to the pressure value, including:

during the first time period, the processor 104 determines that the pressure value is less than or equal to a first pressure threshold;

the processor 104 prompts the user to adjust the securing mechanism;

the processor 104 controls the physiological parameter detecting device 102 to detect during a second time period, which is after the first time period.

Specifically, the processor 104 of the smart watch 100 (i.e., an example of the execution subject in the method 200) acquires the pressure value detected by the pressure sensor 101 during the first time period, and the processor 104 prompts the user to adjust the fixing mechanism according to the pressure value. The processor 104 controls the physiological parameter detecting device 102 to detect during a second time period, which is after the first time period.

It should be understood that the smart watch 100 may include one or more pressure sensors 101, when the smart watch 100 includes one pressure sensor 101, the pressure sensor 101 may detect a pressure value when the smart watch 100 enters the physiological parameter measurement mode and send the pressure value to the processor 104, the processor 104 determines whether the user needs to be reminded according to the pressure value, and if the pressure value is less than the first pressure threshold, the processor reminds the user to adjust the fixing mechanism; if the pressure value is within the range of the standard pressure threshold value, the processor directly controls the physiological parameter detection device to detect.

It should also be appreciated that the processor 104 may prompt the user to adjust the securing mechanism, and the user may adjust the length of the strap of the smart watch 100 after viewing the prompt, or the user may press the smart watch 100 to increase the tightness of the fit between the smart watch 100 and the user's wearing area.

The method for measuring physiological parameters of a human body according to the embodiment of the present application will be described below by taking the smart watch 100 as an example.

Fig. 4 shows another schematic diagram of a smart watch 100 according to an embodiment of the application, as shown in fig. 4, the smart watch 100 comprising a pressure sensor 101 and a physiological parameter sensing device 102.

The pressure sensor 101 firstly obtains a pressure value between the smart watch 100 and a wearing part, the pressure sensor sends the pressure value to the processor 104, the processor 104 reminds a user to adjust the fixing mechanism after determining that the pressure value is smaller than a first pressure threshold value, the physiological parameter detection device 102 is controlled to detect a human physiological signal after the fixing mechanism is adjusted, and the physiological parameter detection device 102 sends the detected signal to the processor 104 for calculation, so that the human physiological parameter is obtained.

The specific process of detecting the human physiological signal by the physiological parameter detecting device 102 is as follows: the light emitting module 1021 emits light, and after reflection, the light receiving module 1023 receives a light signal, so that the light signal is sent to the processor 104, and the processor 104 calculates human physiological parameters according to the received light signal.

It should be understood that the smart watch 100 may further include a plurality of pressure sensors, the processor 104 of the smart watch 100 receives N pressure values sent by the plurality of pressure sensors, the processor 104 determines the N pressure values, and when K pressure values of the N pressure values are not within the first pressure value range (a, b), the processor 104 may perform adjustment processing on the watchband 103, for example, when the K pressure values are all less than or equal to the pressure threshold value a, the processor 104 prompts the user to adjust the fixing mechanism, and prompts the user to shorten the length of the watchband 103; alternatively, when the K pressure values are all greater than or equal to the pressure threshold b, the processor 104 prompts the user to adjust the securing mechanism and prompts the user to increase the length of the wristband 103.

It should be understood that the alerting the user to adjust the securing mechanism includes, but is not limited to: the control display unit outputs one or more of an image signal to remind a user, the audio circuit and the loudspeaker output voice signal to remind the user and the vibration device to vibrate to remind the user.

For example, when the processor 104 determines that K pressure values of the N pressure values are less than or equal to the first pressure threshold, the display unit 109 may be controlled to display wearing tightness so as to remind the user to wear the watchband 103 of the smart watch 100; and/or

When the processor 104 determines that K pressure values of the N pressure values are less than or equal to the first pressure threshold value, the processor controls the audio circuit 111 and the speaker 112 to remind the user to tighten the wristband 103 of the smart watch 100; and/or

When the processor 104 determines that K pressure values of the N pressure values detected by the pressure sensor 101 are less than or equal to the first pressure threshold value, the user may be prompted to tighten the wristband 103 of the smart watch 100 through the vibration device 113.

Fig. 5 shows a process of measuring a physiological parameter of a human body to remind a user to adjust the fixing mechanism according to an embodiment of the present application. As shown in fig. 5, the process includes:

(1) the user can select 'heart rate measurement' from the menu provided by the display unit 109, and the display unit 109 of the smart watch 100 starts heart rate measurement after receiving information input by the user;

(2) first, the processor 104 acquires N pressure values detected by the pressure sensor 101, and when the processor 104 determines that K pressure values of the N pressure values are less than or equal to the first pressure threshold, the processor 104 controls the display unit 109 to display "warning: the watch is worn loosely! "; and/or

The processor 104 controls the audio circuit 111 and the speaker 112 to emit a voice alert "watch is worn loosely, please wear tightly! "; and/or

Or the processor 104 controls the vibrating device 113 to vibrate to remind the user that the watch is worn loosely.

Optionally, the smart watch 100 further includes a step motor and an automatic adjustment mechanism, and after the processor determines that K pressure values of the N pressure values are less than or equal to the first pressure threshold, the processor 104 sends a signal to the step motor, and the step motor drives the automatic adjustment mechanism to shorten the length of the watchband, thereby exceeding the effect of the smart watch 100 on the skin. When not measuring physiological parameters, processor 104 sends a signal to step motor, and step motor control automatically regulated mechanism adjusts watchband length, returns to traditional pine and wears the mode again, experiences and can relax comfortable more.

It should be appreciated that the warning process incorporates a stepper motor and an automatic adjustment mechanism, for example, where the processor 104 does not shorten the length of the wristband 103 after the warning process, the processor 104 may control the stepper motor and the automatic adjustment mechanism to automatically adjust the wristband length beyond the skin-engaging effect of the smart watch 100.

It should also be understood that the at least one physiological parameter detecting device 102 may be one or more, and when the at least one pressure sensor 101 is a plurality of pressure sensors and the at least one physiological parameter detecting device 102 is a plurality of physiological parameter detecting devices, the plurality of pressure sensors may detect pressure values of multiple quadrants (areas), and the plurality of physiological parameter detecting devices may realize signal detection of the multiple quadrants (areas).

Optionally, during the second time period, the processor 104 controls the physiological parameter detecting device 102 to detect, including:

acquiring a pressure value detected by the pressure sensor 101 in a second time period;

when the pressure value is within the first pressure threshold value range, the physiological parameter detection device 102 is controlled to detect.

Fig. 6 shows another schematic flowchart of a method for measuring a physiological parameter of a human body according to an embodiment of the present application, as shown in fig. 6, in a first time period, the processor 104 obtains a pressure value detected by the pressure sensor 101, the processor 104 determines the pressure value, if the pressure value is within a first pressure threshold range, the processor 104 directly controls the physiological parameter detection device to detect, if the processor 104 determines that the first pressure threshold is not within the first pressure threshold range, the processor 104 prompts the user to adjust the fixing mechanism (the prompting process may be any one of those in fig. 5), in a second time period, the processor 104 obtains the pressure value detected by the pressure sensor 101 again and determines whether the pressure value is within the first pressure threshold range, if the second pressure value is within the first pressure threshold range, the processor 104 controls the physiological parameter detection device to detect, if the second pressure value is not within the first pressure threshold range, the processor 104 may alert the user that the measured physiological parameter may be inaccurate, and control the physiological parameter detection device to detect after a period of time.

It should be understood that the processor 104 controls the physiological parameter detecting device to obtain a measured value after detection, and calculates a human physiological parameter according to the measured value.

Optionally, the smart watch 100 includes a plurality of device groups, the plurality of device groups being arranged in different areas of the terminal device, each of the plurality of device groups including a pressure sensor 101 and a physiological parameter detection device 102, the pressure sensor and the physiological parameter detection device in each of the device groups corresponding to each other, and the pressure values are at least two pressure values detected by the pressure sensors in the plurality of device groups in the different areas.

Optionally, the controlling the physiological parameter detecting device to detect according to the pressure value includes:

and when a first pressure value of the at least two pressure values is within a first pressure threshold range, controlling the physiological parameter detection device in each device group to detect, and obtaining a measurement value detected by the physiological parameter detection device in each device group.

Optionally, the method 200 further comprises:

according to the at least two pressure values, determining a proportionality coefficient of the measured values detected by the physiological parameter detection device in each device group;

and determining the physiological parameter of the user according to the proportion coefficient of the measured value detected by the physiological parameter detecting device in each device group and the measured value detected by the physiological parameter detecting device in each device group.

It should be understood that the first pressure value range may be a standard pressure threshold range (a, b), and when the pressure value is smaller than a, the measured value detected by the physiological parameter detection device is inaccurate, thereby affecting the calculation result of the physiological parameter; a pressure value greater than b affects the user (user) blood flow rate.

It should also be understood that the N pressure values detected by the pressure sensors in the plurality of device groups are input signals of the processor of the terminal device, and the processor can dynamically determine the weight of the measured value detected by the physiological parameter detection device in each device group according to the N pressure values.

When a first pressure value in the N pressure values is within a first pressure value range, the processor of the terminal device controls at least one physiological parameter detection device to perform detection, so as to obtain a measurement value detected by each physiological parameter detection device, and the processor can determine the weight of the measurement value detected by each physiological parameter detection device according to the N pressure values, so as to determine the physiological parameter of the user.

It should be understood that the processor of the terminal device determines the N pressure values, and when at least one pressure value is within the standard pressure threshold range (a, b), the processor may not adjust the fixing mechanism but control each of the at least one physiological parameter detecting devices to detect, and the processor determines the weight of the measured value detected by each of the at least one physiological parameter detecting devices according to the N pressure values and determines the physiological parameter of the user (user) according to the weight of the measured value detected by each of the physiological parameter detecting devices.

For example, the smart watch 100 includes 2 pressure sensors (a first pressure sensor and a second pressure sensor) and 2 PPG modules (a first PPG module and a second PPG module), the 2 pressure sensors and the 2 PPG modules are in one-to-one correspondence (the first pressure sensor corresponds to the first PPG module, the second pressure sensor corresponds to the second PPG module), when the user detects the heart rate, the first pressure sensor and the second pressure sensor respectively detect a first pressure value and a second pressure value, the processor 104 judges the first pressure value and the second pressure value, and when the first pressure value is determined to be within the standard pressure value range, and the second pressure value is not within the standard pressure value range, the processor 104 determines that the weight of the optical signal detected by the first PPG module is great, and the weight of the optical signal detected by the second PPG module is small, so as to calculate the physiological parameter of the user.

It should be understood that, if the first pressure value is within the standard pressure value range and the second pressure value is not within the standard pressure value range, the optical signal detected by the second PPG module has an auxiliary supplementary effect on the optical signal detected by the first PPG module, so that signal noise, burst singularity signals and the like can be eliminated.

According to the method for measuring the human physiological parameters, the pressure sensors are used for detecting a plurality of pressure values of a multi-quadrant (region), the weight of signals detected by the multi-quadrant (region) physiological parameter detection device is determined, and auxiliary signals are used for assisting to supplement main signals, so that signal noise and burst singular point signals can be eliminated.

Fig. 7 shows another schematic diagram of the smart watch 100 according to the embodiment of the present application, and as shown in fig. 7, the smart watch 100 includes a pressure sensor 1011 and a pressure sensor 1012, and the smart watch 100 further includes a light emitting component 1021, a light emitting component 1022, a light receiving component 1023, and a light receiving component 1024.

For example, after the user starts heart rate measurement, the processor 104 receives the pressure sensor 1011 and the pressure sensor 1012, if a first pressure value detected by the pressure sensor 1011 is within a standard pressure threshold range, and a second pressure value detected by the pressure sensor 1012 is less than or equal to the first pressure threshold, the processor 104 controls the light emitting component 1021, the light emitting component 1022, the light receiving component 1023 and the light receiving component 1024 to operate, the processor 104 determines that the light signal received by the light receiving component 1023 is a primary signal, determines that the signal received by the light receiving component 1024 is a secondary signal, and the processor 104 determines the weights of the primary signal and the secondary signal according to the first pressure value and the second pressure value, and determines the physiological parameter of the user according to the weights of the primary signal and the secondary signal.

when a first pressure value of the at least two pressure values is within a first pressure threshold range, determining a first physiological parameter detection device corresponding to the first pressure sensor, wherein the first pressure sensor acquires the first pressure value;

and controlling the first physiological parameter detection device to detect to obtain the physiological parameters of the user.

Specifically, the processor of the terminal device receives N pressure values detected by the pressure sensors in the plurality of device groups, determines a first pressure sensor from which the first pressure sensor is located when a first pressure value of the N pressure values is determined to be within a standard pressure threshold range, and determines a first physiological parameter detection device corresponding to the first pressure sensor, and the processor determines the physiological parameter of the user according to the measurement value detected by the first physiological parameter detection device.

The method for measuring the human physiological parameters comprises the steps that a plurality of pressure values of a plurality of quadrants (regions) are detected through a plurality of pressure sensors, the best wearing region is selected through the pressure values, the region with poor wearing loose signals is omitted, the later algorithm processing workload and accuracy of the signals can be optimized to a large extent, the measurement precision of the human physiological parameters is improved, and meanwhile, the power consumption of wearable equipment can be reduced, and the problem of light overflow and dazzling is solved.

For example, as shown in fig. 7, after the user starts heart rate measurement, the processor 104 receives the pressure sensor 1011 and the pressure sensor 1012, if a first pressure value detected by the pressure sensor 1011 is within a standard pressure threshold range, and a second pressure value detected by the pressure sensor 1012 is less than or equal to a first pressure threshold, the processor 104 determines that the first pressure value is from the pressure sensor 1011, the processor 104 determines that the emitting optical element 1021 and the receiving optical element 1023 corresponding to the pressure sensor 1011 and controls the emitting optical element 1021 to emit light, the receiving optical element 1023 receives an optical signal and sends the optical signal to the processor 104, and the processor 104 calculates a human physiological parameter according to the optical signal.

It should be understood that if the processor 104 determines that the first pressure value is from the pressure sensor 1011, the processor may control the emitting light assembly 1021 and the receiving light assembly 1023 to operate, and control the emitting light assembly 1022 and the receiving light assembly 1024 to be not operated, so that the light emitted by the emitting light assembly 1021 is only received by the receiving light assembly 1023 after being reflected, thereby ensuring the accuracy of the measurement of the human physiological parameter.

Fig. 8 shows another schematic diagram of the smart watch 100 according to the embodiment of the present application, and as shown in fig. 8, the smart watch 100 includes a pressure sensor 1011, a pressure sensor 1012, a pressure sensor 1013, and a pressure sensor 1014, and the smart watch 100 further includes a light emitting component 1021, a light emitting component 1022, a light receiving component 1023, and a light receiving component 1024.

When one or more pressure values measured by pressure sensor 1011, pressure sensor 1012, pressure sensor 1013, and pressure sensor 1014 are within the standard pressure value range, processor 104 may determine the weight of the light signals received by light-receiving module 1023 and light-receiving module 1024 according to an algorithm, so as to calculate the human physiological parameter value.

For example, after the user starts heart rate measurement, the processor 104 receives the pressure values detected by the pressure sensor 1011, the pressure sensor 1012, the pressure sensor 1013, and the pressure sensor 1014, if the first pressure value detected by the pressure sensor 1011 is within the standard pressure threshold range, and the pressure values detected by the pressure sensor 1012, the pressure sensor 1013, and the pressure sensor 1014 are less than or equal to the first pressure threshold, the processor 104 controls the light emitting component 1021, the light emitting component 1022, the light receiving component 1023, and the light receiving component 1024 to operate, the processor 104 determines the light signal received by the light receiving component 1023 as the main signal and determines the signal received by the light receiving component 1024 as the auxiliary signal, the processor 104 determines the weights of the main signal and the auxiliary signal according to the first pressure value and the pressure values detected by the pressure sensor 1012, the pressure sensor 1013, and the pressure sensor 1014, and determining the physiological parameter of the user according to the weight of the main signal and the auxiliary signal.

For another example, after the user starts the heart rate measurement, the processor 104 receives the pressure values detected by the pressure sensor 1011, the pressure sensor 1012, the pressure sensor 1013, and the pressure sensor 1014, and if the first pressure value and the second pressure value detected by the pressure sensor 1011 and the pressure sensor 1013 are within the standard pressure threshold range, the pressure values detected by the pressure sensor 1012 and the pressure sensor 1014 are less than or equal to the first pressure threshold, and the processor 104 can further determine an optimal pressure value from the first pressure value and the second pressure value (for example, determine that the first pressure value is the optimal pressure value), the processor 104 controls the light emitting module 1021, the light emitting module 1022, the light receiving module 1023, and the light receiving module 1024 to operate, the processor 104 determines the light signal received by the light receiving module 1023 as the main signal, determines the signal received by the light receiving module 1024 as the auxiliary signal, processor 104 determines the weight of the primary signal and the secondary signal based on the first pressure value, the second pressure value, and the pressure values detected by pressure sensor 1012 and pressure sensor 1014, and determines the physiological parameter of the user based on the weight of the primary signal and the secondary signal.

When one or more pressure values measured by the pressure sensor 1011, the pressure sensor 1012, the pressure sensor 1013 and the pressure sensor 1014 are within the standard pressure value range, the processor 104 may control the light emitting component and the light receiving component which need to work, so as to calculate the human physiological parameter value.

For example, after the user starts heart rate measurement, the processor 104 receives pressure values detected by the pressure sensor 1011, the pressure sensor 1012, the pressure sensor 1013, and the pressure sensor 1014, if a first pressure value detected by the pressure sensor 1011 is within a standard pressure value range, and pressure values detected by the pressure sensor 1012, the pressure sensor 1013, and the pressure sensor 1014 are less than or equal to a first pressure threshold value, the processor 104 determines that the first pressure value is from the pressure sensor 1011, the processor 104 determines that the light emitting component 1021 and the light receiving component 1023 corresponding to the pressure sensor 1011 and controls the light emitting component 1021 to emit light, the light receiving component 1023 receives a light signal and sends the light signal to the processor 104, and the processor 104 calculates a human physiological parameter according to the light signal.

For another example, after the user starts the heart rate measurement, the processor 104 receives the pressure values detected by the pressure sensor 1011, the pressure sensor 1012, the pressure sensor 1013, and the pressure sensor 1014, if the first pressure value detected by the pressure sensor 1011 and the second pressure value detected by the pressure sensor 1012 are within the standard pressure value range, and the pressure values detected by the pressure sensor 1013 and the pressure sensor 1014 are less than or equal to the first pressure threshold, the processor 104 determines that the first pressure value and the second pressure value are from the pressure sensor 1011 and the pressure sensor 1012, the processor 104 determines the light emitting module 1021, the light emitting module 1022, and the light receiving module 1023 corresponding to the pressure sensor 1011 and the pressure sensor 1012, and controls the light emitting module 1021 and the light emitting module 1022 to emit light, the light receiving module 1023 receives the light signal and sends the light signal to the processor 104, the processor 104 calculates a physiological parameter of the human body according to the optical signal.

It should be understood that if the processor 104 determines that the first pressure value and the second pressure value are respectively from the pressure sensor 1011 and the pressure sensor 1012, the processor 104 can control the emitting light module 1021, the emitting light module 1022 and the receiving light module 1023 to operate, and control the receiving light module 1024 to be not operated, so that the light emitted by the emitting light module 1021 and the emitting light module 1022 is reflected and then only received by the receiving light module 1023, thereby ensuring the accuracy of the measurement of the human physiological parameter.

It should be understood that if the pressure values detected by the pressure sensor 1011, the pressure sensor 1012, the pressure sensor 1013 and the pressure sensor 1014 are all less than or equal to the first pressure threshold value, the processor 104 further needs to perform an adjustment process on the length of the wristband 103, for example, perform a warning process to remind the user to shorten the wristband length 103; alternatively, controlling a stepper motor or an automatic adjustment mechanism shortens the length of the wristband 103.

It should be further understood that fig. 7 and 8 are only described in the method of measuring human physiological parameters by using two pressure sensors and four pressure sensors in cooperation with the multichannel technology of the smart watch 100, and that human physiological parameters may also be measured by using 3 pressure sensors or other number of pressure sensors in cooperation with the multichannel technology of the smart watch, the principle is similar to that of the partitioned pressure detection in fig. 6 and 7, and therefore, for brevity, no further description is provided here.

Fig. 9 shows a schematic flow chart of a method 300 for measuring a physiological parameter of a human body according to an embodiment of the present application, as shown in fig. 9, applied to a terminal device including a pressure sensor and a physiological parameter detecting device.

The method 300 for measuring physiological parameters of a human body according to the embodiment of the present application is described below with reference to the smart watch 100 of fig. 1:

s310, the processor 104 obtains the pressure value detected by the pressure sensor 101;

s320, the processor 104 obtains the measured value detected by the physiological parameter detecting device 102, and calculates the first human physiological parameter according to the measured value;

s330, the processor 104 corrects the first human physiological parameter according to the pressure value to obtain a second human physiological parameter.

It should be understood that S310 and S320 are not in actual sequential order.

For example, as shown in fig. 4, the processor 104 of the smart watch 100 obtains a pressure value detected by the pressure sensor 101, the processor 104 also obtains a measurement value detected by the physiological parameter detecting device 102, and calculates a first human physiological parameter value according to the measurement value, and the processor corrects the first human physiological parameter value according to a compensation algorithm and the pressure value to obtain a second human physiological parameter value.

It will be appreciated that some users have seen a prompt to re-tighten the wristband, but that users may be overlooked or unwilling to do so, the wearable device can only calculate based on the weak signals in this state, the processor can estimate based on the big data law for some motion patterns, and the pressure value can provide a state signal, and the compensation value can be derived from the algorithm's estimation and optimization.

Fig. 10 shows a schematic cross-sectional structure diagram of a smart watch 100 according to an embodiment of the present application, and as shown in fig. 10, the positions of the pressure sensor 101 and the physiological parameter detecting device 102 in the smart watch 100 are shown.

It should be understood that fig. 10 only shows a configuration in which the smart watch 100 includes two pressure sensors and two physiological parameter detection devices, and there may be fewer or more pressure sensors and physiological parameter detection devices, to which the present application is not limited.

Fig. 11 shows a schematic block diagram of a terminal device 400 according to an embodiment of the application, and as shown in fig. 11, the terminal device 400 includes: a processing module 410, a pressure acquisition module 420, and a physiological parameter detection module 430, wherein,

the processing module 410 is configured to obtain the pressure value detected by the pressure obtaining module 420;

the processing module 410 is further configured to control the physiological parameter detecting module 430 to detect according to the pressure value.

Optionally, the processing module 410 is specifically configured to: when the pressure value is smaller than or equal to the first pressure threshold value, reminding a user to adjust the fixing mechanism;

when the fixing mechanism is adjusted, the physiological parameter detection module 430 is controlled to detect when the pressure value is determined to exceed the first pressure threshold.

Optionally, the terminal device includes a plurality of module groups, the plurality of module groups are arranged in different areas of the terminal device, each module group in the plurality of module groups includes a pressure acquisition module and a physiological parameter detection module, the pressure acquisition module and the physiological parameter detection module in each module group correspond to each other, and the pressure values are at least two pressure values detected by the pressure sensors in the plurality of device groups in the different areas.

Optionally, the processing module 410 is specifically configured to:

when a first pressure value of the at least two pressure values is within a first pressure threshold range, controlling a physiological parameter detection module in each module group to detect to obtain a measurement value detected by the physiological parameter detection module in each module group;

according to the at least two pressure values, determining a proportionality coefficient of the measured values detected by the physiological parameter detection modules in each module group;

and determining the physiological parameters of the user according to the proportion coefficient of the measured values detected by the physiological parameter detection modules in each module group and the measured values detected by the physiological parameter detection modules in each module group.

Optionally, the processing module 410 is specifically configured to:

when a first pressure value of the at least two pressure values is within a first pressure threshold range, determining a first physiological parameter detection module corresponding to the first pressure acquisition module, wherein the first pressure acquisition module acquires the first pressure value;

and controlling the first physiological parameter detection module to detect to obtain the physiological parameters of the user.

Optionally, the terminal device 400 is a wearable device.

The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product may include one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic Disk), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

A method for measuring human physiological parameters is applied to a terminal device, wherein the terminal device comprises a pressure sensor and a physiological parameter detection device, and the method comprises the following steps:

acquiring a pressure value detected by the pressure sensor;

and controlling the physiological parameter detection device to detect according to the pressure value.
The method according to claim 1, wherein the terminal device comprises a fixing mechanism, the terminal device is fixed on a human body through the fixing mechanism, and the controlling the physiological parameter detection device to detect according to the pressure value comprises:

when the pressure value is smaller than or equal to a first pressure threshold value, reminding a user to adjust the fixing mechanism;

and after the fixing mechanism is adjusted, determining that the pressure value exceeds the first pressure threshold value, and controlling the physiological parameter detection device to detect.
The method according to claim 1 or 2, wherein the terminal device comprises a plurality of device groups arranged in different areas of the terminal device, each of the plurality of device groups comprises a pressure sensor and a physiological parameter detection device, the pressure sensor and the physiological parameter detection device in each of the device groups correspond, and the pressure values are at least two pressure values detected in the different areas by the pressure sensors in the plurality of device groups.
The method according to claim 3, wherein the controlling the physiological parameter detecting device to detect according to the pressure value comprises:

when a first pressure value of the at least two pressure values is within a first pressure threshold range, controlling the physiological parameter detection device in each device group to detect, and obtaining a measurement value detected by the physiological parameter detection device in each device group;

according to the at least two pressure values, determining a proportionality coefficient of the measured values detected by the physiological parameter detection device in each device group;

and determining the physiological parameter of the user according to the proportion coefficient of the measured value detected by the physiological parameter detecting device in each device group and the measured value detected by the physiological parameter detecting device in each device group.
The method according to claim 3, wherein the controlling the physiological parameter detecting device to detect according to the pressure value comprises:

when a first pressure value of the at least two pressure values is within a first pressure threshold range, determining a first physiological parameter detection device corresponding to the first pressure sensor, wherein the first pressure sensor acquires the first pressure value;

and controlling the first physiological parameter detection device to detect to obtain the physiological parameters of the user.
The method according to any one of claims 1 to 5, wherein the terminal device is a wearable device.
A terminal device, comprising: a processor, a pressure sensor and a physiological parameter detection device, wherein,

the processor is used for acquiring a pressure value detected by the pressure sensor;

the processor is also used for controlling the physiological parameter detection device to detect according to the pressure value.
The terminal device according to claim 7, wherein the terminal device comprises a fixing mechanism by which the terminal device is fixed to a human body, and the processor is specifically configured to:

when the pressure value is smaller than or equal to a first pressure threshold value, reminding a user to adjust the fixing mechanism;

and after the fixing mechanism is adjusted, determining that the pressure value exceeds the first pressure threshold value, and controlling the physiological parameter detection device to detect.
The terminal device according to claim 7 or 8, wherein the terminal device comprises a plurality of device groups, the plurality of device groups are arranged in different areas of the terminal device, each device group in the plurality of device groups comprises a pressure sensor and a physiological parameter detection device, the pressure sensor and the physiological parameter detection device in each device group correspond, and the pressure values are at least two pressure values detected by the pressure sensors in the plurality of device groups in the different areas.
The terminal device of claim 9, wherein the processor is specifically configured to:

when a first pressure value of the at least two pressure values is within a first pressure threshold range, controlling the physiological parameter detection device in each device group to detect, and obtaining a measurement value detected by the physiological parameter detection device in each device group;

according to the at least two pressure values, determining a proportionality coefficient of the measured values detected by the physiological parameter detection device in each device group;

and determining the physiological parameter of the user according to the proportion coefficient of the measured value detected by the physiological parameter detecting device in each device group and the measured value detected by the physiological parameter detecting device in each device group.
The terminal device of claim 9, wherein the processor is specifically configured to:

when a first pressure value of the at least two pressure values is within a first pressure threshold range, determining a first physiological parameter detection device corresponding to the first pressure sensor, wherein the first pressure sensor acquires the first pressure value;

and controlling the first physiological parameter detection device to detect to obtain the physiological parameters of the user.
The terminal device according to any of claims 7 to 11, wherein the terminal device is a wearable device.
A terminal device, comprising: a processing module, a pressure acquisition module and a physiological parameter detection module, wherein,

the processing module is used for acquiring the pressure value detected by the pressure acquisition module;

the processing module is further used for controlling the physiological parameter detection module to detect according to the pressure value.
The terminal device according to claim 13, wherein the terminal device comprises a fixing mechanism, the terminal device is fixed to a human body through the fixing mechanism, and the processing module is specifically configured to:

when the pressure value is smaller than or equal to a first pressure threshold value, reminding a user to adjust the fixing mechanism;

and after the fixing mechanism is adjusted, determining that the pressure value exceeds the first pressure threshold value, and controlling the physiological parameter detection module to detect.
The terminal device according to claim 13 or 14, wherein the terminal device comprises a plurality of module groups, the plurality of module groups are arranged in different areas of the terminal device, each module group in the plurality of module groups comprises a pressure acquisition module and a physiological parameter detection module, the pressure acquisition module and the physiological parameter detection module in each module group correspond, and the pressure values are at least two pressure values detected by the pressure sensors in the plurality of module groups in the different areas.
The terminal device of claim 15, wherein the processing module is specifically configured to:

when a first pressure value of the at least two pressure values is within a first pressure threshold range, controlling the physiological parameter detection module in each module group to perform detection, so as to obtain a measurement value detected by the physiological parameter detection module in each module group;

determining a proportionality coefficient of the measured values detected by the physiological parameter detection modules in each module group according to the at least two pressure values;

and determining the physiological parameters of the user according to the proportion coefficient of the measured values detected by the physiological parameter detection modules in each module group and the measured values detected by the physiological parameter detection modules in each module group.
The terminal device of claim 15, wherein the processing module is specifically configured to:

when a first pressure value of the at least two pressure values is within a first pressure threshold range, determining a first physiological parameter detection module corresponding to the first pressure acquisition module, wherein the first pressure acquisition module acquires the first pressure value;

and controlling the first physiological parameter detection module to detect to obtain the physiological parameters of the user.
The terminal device according to any of claims 13 to 17, characterized in that the terminal device is a wearable device.
A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the method of any of claims 1-6.
A computer program product which, when run on a computer, causes the computer to perform the method of any of the preceding claims 1-6.