WO2023273457A1 - 测量血压的装置与方法 - Google Patents

测量血压的装置与方法 Download PDF

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Publication number
WO2023273457A1
WO2023273457A1 PCT/CN2022/084070 CN2022084070W WO2023273457A1 WO 2023273457 A1 WO2023273457 A1 WO 2023273457A1 CN 2022084070 W CN2022084070 W CN 2022084070W WO 2023273457 A1 WO2023273457 A1 WO 2023273457A1
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WO
WIPO (PCT)
Prior art keywords
blood pressure
ppg
ppg signal
measurement component
groups
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PCT/CN2022/084070
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English (en)
French (fr)
Inventor
傅小煜
黄振龙
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华为技术有限公司
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Priority to EP22831288.0A priority Critical patent/EP4344621A4/en
Publication of WO2023273457A1 publication Critical patent/WO2023273457A1/zh

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
    • A61B5/0225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/02141—Details of apparatus construction, e.g. pump units or housings therefor, cuff pressurising systems, arrangements of fluid conduits or circuits
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
    • A61B5/0225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
    • A61B5/02255—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds the pressure being controlled by plethysmographic signals, e.g. derived from optical sensors
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/681—Wristwatch-type devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device

Definitions

  • the present application relates to the technical field of terminals, and more specifically, to a device and method for measuring blood pressure.
  • the number of hypertensive patients in China accounts for a very large proportion in the total number of cardiovascular disease patients.
  • daily monitoring of blood pressure by measuring blood pressure is essential.
  • the methods of measuring blood pressure usually include auscultation and oscillometric methods. Both of these methods need to manually or automatically inflate and deflate the cuff after the cuff is wrapped around the human arm.
  • This method of measuring blood pressure can be It is called a cuff-type measurement method, and the corresponding device can be called a cuff-type blood pressure measurement device.
  • the measurement accuracy of the cuff-type blood pressure measuring device can reach the medical standard, it is inconvenient to operate and easily causes discomfort to the user. Therefore, it is necessary to provide a device for measuring blood pressure that is easy to operate and has high measurement accuracy.
  • the present application provides a device and method for measuring blood pressure.
  • the device can improve the accuracy of measurement results when measuring a user's blood pressure, and is easy to operate.
  • a device for measuring blood pressure includes a processor 101 , a first measurement component 102 and a second measurement component 103 , and the first measurement component 102 includes an inflatable component 1022 , an air bag 1023, an air pressure sensor 1024, the air bag 1023 is connected to the inflatable component 1022 and the air pressure sensor 1024 respectively, the second measurement assembly 103 includes a light source 1031 and a PPG sensor 1032; the first measurement assembly 102, Used to collect the blood pressure value of the user; the second measurement component 103 is used to collect the PPG signal of the user; the processor 101 is used to control the first measurement component 102 to collect N groups of blood pressure of the user value; control the second measurement component 103 to collect N groups of PPG signals corresponding to the N groups of blood pressure values; generate a target model according to the N groups of blood pressure values and the N groups of PPG signals, and the input of the target model is a PPG signal, the output is a blood pressure
  • the target model is based on N groups of blood pressure values of the user (these N groups of blood pressure values are obtained through the first measurement component 102, and the accuracy of the blood pressure values obtained through the first measurement component 102 is relatively high)
  • the N groups of PPG signals corresponding to the N groups of blood pressure values are obtained after model training. Therefore, when the user's blood pressure value is determined based on the user's PPG signal through the target model 2, the measurement result of the blood pressure value obtained will be more accurate. .
  • the second measurement component for collecting PPG signals by integrating the second measurement component for collecting PPG signals with the first measurement component, it is more convenient to obtain the N sets of blood pressure values used to generate the target model and the one-to-one correspondence with the N sets of blood pressure values N groups of PPG signals.
  • the target model in this application corresponds to target model 2 above.
  • the processor is further configured to, when collecting the i-th group of PPG signals in the N groups of PPG signals, control the second measurement component 103 to obtain the PPG signal of the first duration; determining the category to which the PPG signal of the first duration belongs; determining the similarity between the PPG signal of the first duration and the center of the category belonging to the PPG signal of the first duration in the first historical PPG signal, wherein, The first historical PPG signal includes PPG signals that have been acquired before acquiring the i-th group of PPG signals; according to the similarity, determine a second duration; control the second measurement component 103 to acquire the second a PPG signal of a duration; combining the PPG signal of the first duration and the PPG signal of the second duration into an i-th group of PPG signals.
  • the processor is further configured to control the second measurement component 103 to obtain a third duration when collecting the first group-M group of PPG signals in the N groups of PPG signals PPG signal, M is an integer less than i.
  • the processor 101 is further configured to prompt the user to trigger through the first measurement component 102 and the second measurement component 103 when it is determined to update the target model An instruction to measure blood pressure; in response to the first operation of the user, control the first measurement component 102 to collect a second blood pressure value, and control the second measurement component 103 to collect a second PPG corresponding to the second blood pressure value signal; updating the target model according to the second blood pressure value and the second PPG signal.
  • the user is prompted to trigger an instruction to measure blood pressure through the first measurement component, and then according to the user-triggered through the first measurement component
  • the target model 2 is updated with the blood pressure value and the PPG signal acquired by the blood pressure measurement command.
  • the processor 101 is further configured to determine the category of the first PPG signal
  • the processor 101 is further configured to determine the similarity between the first PPG signal and the center of the PPG signal belonging to the category of the first PPG signal in the second historical PPG signal, and according to the similarity and The number of groups of PPG signals belonging to the category of the first PPG signal in the second historical PPG signal determines whether the target model needs to be updated, wherein the second historical PPG signal includes the N groups of PPG signals.
  • the processor 101 is further configured to determine whether the target model needs to be updated according to a time period in which the target model has not been updated.
  • the inflatable component 1022 is used to inflate the airbag 1023;
  • the air pressure sensor 1024 is used to collect multiple air pressure values of the airbag 1023, the first air pressure value and the second air pressure value in the multiple air pressure values are the blood pressure values of the user, and the first air pressure value is the air pressure value corresponding to the moment when the oscillating wave of the air pressure in the air bag 1023 reaches the maximum value, the second air pressure value is the air pressure value corresponding to the moment when the oscillating wave reaches a ⁇ the maximum value, a is greater than 0 and less than 1.
  • the difference between the moment when the airbag 1023 starts to be inflated and the moment when the i-th group of PPG signals is collected is greater than or equal to a preset first threshold and less than or equal to a preset
  • the second threshold value of the second threshold value, the time of starting to inflate the airbag 1023 is after the collection time of the i-th group of PPG signals, or, the collection time of the i-th group of PPG signals is the same as the time when the airbag 1023 is stopped.
  • the difference between the times is greater than or equal to a preset third threshold, and less than or equal to a preset fourth threshold, and the time to stop inflating the airbag 1023 is before the collection time of the i-th group of PPG signals .
  • the inflatable component 1022 needs to inflate the airbag 1023 when collecting the i-th group of blood pressure values of the user, the inflated airbag 1023 will compress the user's wrist, which in turn will affect the obtained user's i-th group of PPG signals accuracy.
  • the time for collecting the i-th group of PPG signals To avoid the time period during which the gas inside the airbag 1023 will compress the wrist of the user, in other words, the gas in the airbag 1023 will compress the wrist of the user to collect the i-th group of PPG signals during the time period other than the compression, Therefore, the accuracy of the acquired i-th group of PPG signals of the user is improved.
  • a method for measuring blood pressure is provided, the method is applied to a device for measuring blood pressure, and the device for measuring blood pressure includes a first measurement component 102 and a second measurement component 103, and the first measurement component 102 includes An inflatable component 1022, an air bag 1023, and an air pressure sensor 1024, the air bag 1023 is connected to the inflatable component 1022 and the air pressure sensor 1024 respectively, the second measurement component 103 includes a light source 1031 and a PPG sensor 1032, and the method includes: Controlling the first measurement component 102 to collect N groups of blood pressure values of the user; controlling the second measurement component 103 to collect N groups of PPG signals corresponding to the N groups of blood pressure values; according to the N groups of blood pressure values and The N groups of PPG signals generate a target model, wherein the input of the target model is a PPG signal, and the output is a blood pressure value, and N is an integer greater than or equal to 2; after the target model is generated, control the second measurement The component collects a first P
  • the second measurement component 103 when collecting the i-th group of PPG signals in the N groups of PPG signals, the second measurement component 103 is controlled to collect N groups of PPG signals corresponding to the N groups of blood pressure values.
  • the signal includes: controlling the second measuring component 103 to obtain a PPG signal of a first duration; determining the category to which the PPG signal of the first duration belongs; determining the PPG signal of the first duration and the first historical PPG signal belonging to The similarity between centers of categories of PPG signals of the first duration, wherein the first historical PPG signals include PPG signals that have been acquired before acquiring the i-th group of PPG signals; according to the similarity degree, determine the second duration; control the second measurement component 103 to collect the PPG signal of the second duration; combine the PPG signal of the first duration and the PPG signal of the second duration into the i-th group of PPG signals .
  • the control of the second measurement component 103 to collect blood pressure values corresponding to the N groups of PPG signals include: controlling the second measurement component 103 to obtain PPG signals of a third duration, where M is an integer less than i.
  • the method further includes: prompting the user to trigger blood pressure measurement through the first measurement component 102 and the second measurement component 103 when it is determined to update the target model Instruction; in response to the user's first operation, control the first measurement component 102 to collect a second blood pressure value, and control the second measurement component 103 to collect a second PPG signal corresponding to the second blood pressure value; according to The second blood pressure value and the second PPG signal update the target model.
  • the method further includes: determining the category of the first PPG signal;
  • the second historical PPG signal includes the N groups of PPG signals.
  • the method further includes: determining whether the target model needs to be updated according to a time period in which the target model has not been updated.
  • the controlling the first measurement component 102 to collect N sets of blood pressure values of the user includes: controlling the inflatable component 1022 to inflate the airbag 1023; controlling the air pressure sensor 1024 Collect multiple air pressure values of the airbag 1023, the first air pressure value and the second air pressure value in the multiple air pressure values are a set of blood pressure values of the user, and the first air pressure value is in the airbag 1023
  • the second air pressure value corresponds to the air pressure value when the oscillation wave reaches a ⁇ the maximum value
  • a is greater than 0 and less than 1.
  • the difference between the moment when the airbag 1023 starts to be inflated and the moment when the i-th group of PPG signals is collected is greater than or equal to a preset first threshold and less than or equal to a preset
  • the second threshold value of the second threshold value, the time of starting to inflate the airbag 1023 is after the collection time of the i-th group of PPG signals, or, the collection time of the i-th group of PPG signals is the same as the time when the airbag 1023 is stopped.
  • the difference between the times is greater than or equal to a preset third threshold, and less than or equal to a preset fourth threshold, and the time to stop inflating the airbag 1023 is before the collection time of the i-th group of PPG signals .
  • a device for measuring blood pressure which has the function of realizing the behavior of the device for measuring blood pressure in any method in the above aspects and possible designs.
  • This function may be implemented by hardware, or may be implemented by executing corresponding software on the hardware.
  • Hardware or software includes at least one module or unit corresponding to the above functions. For example, measurement modules or units, sensing modules or units, inflation modules or units, etc.
  • a computer storage medium including computer instructions.
  • the blood pressure measuring device is made to execute the method for measuring blood pressure in any possible design of the above aspects.
  • a computer program product is provided.
  • the computer program product is run on a computer, the computer is made to execute the method for measuring blood pressure in any possible design of the above aspect.
  • FIG. 1 is a schematic block diagram of a device 100 for measuring blood pressure provided in the present application.
  • FIG. 2 is a schematic diagram of the electronic control logic of the device 100 for measuring blood pressure provided by the present application.
  • FIG. 3 is a schematic structural diagram of a device 100 for measuring blood pressure provided in the present application.
  • FIG. 4 is a schematic diagram of the distribution state of multiple light sources and multiple photoelectric sensors on the device body provided by the present application.
  • FIG. 5 is a schematic diagram of a user wearing a watch for measuring blood pressure provided in the present application.
  • FIG. 6 is a schematic diagram of a display interface of a display screen of a watch for measuring blood pressure provided by the present application.
  • Fig. 7 is a schematic flow chart of the method for measuring blood pressure provided by the present application.
  • At least one of the following or similar expressions refer to any combination of these items, including any combination of single or plural items.
  • at least one item (piece) of a, b, or c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single or multiple .
  • words such as “first” and “second” are used to distinguish the same or similar items with basically the same function and effect. Those skilled in the art can understand that words such as “first” and “second” do not limit the number and execution order, and words such as “first” and “second” do not necessarily limit the difference.
  • the present application provides a device 100 for measuring blood pressure.
  • the target model 1 may be pre-configured in the device 100, and the target model 1 represents the corresponding relationship between the PPG signal and the blood pressure value.
  • the target model 1 may be pre-configured for the device 100 before the device 100 leaves the factory.
  • the input of model 1 may be the user's photoplethysmogram (PPG) signal, and the output may be a set of blood pressure values of the user.
  • PPG photoplethysmogram
  • the target model may 1 Get a set of blood pressure values of the user.
  • the set of blood pressure values of the user in this application includes the user's systolic blood pressure (SBP) and diastolic blood pressure (diastolic blood pressure, DBP).
  • SBP user's systolic blood pressure
  • DBP diastolic blood pressure
  • this application uses a set of blood pressure values instead The user's systolic and diastolic blood pressure.
  • multiple sets of PPG signals of the user and multiple sets of blood pressure values of the user can be used (the multiple sets of blood pressure values of the user are not obtained through the above-mentioned target model 1 , but obtained by the first measurement component hereinafter), the target model 1 is updated to obtain the target model 2, wherein multiple sets of blood pressure values correspond to multiple sets of PPG signals one-to-one. Since the target model 2 is obtained after updating the target model 1 according to the user's own multiple sets of blood pressure values and multiple sets of PPG signals, the user's blood pressure value obtained through the target model 2 and based on the user's PPG signal is relatively relative to the target model 1. would be more accurate.
  • the target model 2 in this application corresponds to the target model.
  • the device 100 includes a processor 101 , a first measurement component 102 and a second measurement component 103 , and FIG. 1 shows a schematic block diagram of the device 100 .
  • the first measurement component 102 is used to collect the blood pressure value of the user.
  • the first measurement component 102 collects the blood pressure of the user N times to obtain N sets of blood pressure values of the user, where N is greater than 2 integer.
  • the processor 101 may send an instruction to collect blood pressure to the first measurement component 102 after detecting the instruction triggered by the user to measure blood pressure through the first measurement component 102, and the first measurement component 102 executes the instruction to collect blood pressure to collect the user's blood pressure value.
  • the second measurement component 103 is used to collect the user's PPG signal, and the processor 101 is used to control the second measurement component 103 to collect a group of PPG signals corresponding to the user's blood pressure value.
  • the processor 101 is used to control the second measurement component 103 to collect a group of PPG signals corresponding to the user's blood pressure value.
  • the user's blood pressure value and a set of PPG signals corresponding to the blood pressure value in this application are obtained after measuring the same part of the user.
  • the processor 101 is used to update the target model 1 according to the user's N groups of blood pressure values and N groups of PPG signals to obtain the target model 2.
  • the target model 2 represents the corresponding relationship between the user's PPG signals and blood pressure values.
  • the input of the target model 2 is the user's PPG signal, and the output is the user's blood pressure value.
  • the processor 101 is further configured to: after acquiring the user's first PPG signal, input the first PPG signal into the target model 2 to obtain the user's first blood pressure value.
  • the pre-configuration of the target model 1 in the processor 101 above is only used as an example, and does not limit the present application.
  • the target model 1 may not be pre-configured in the processor 101, but The target model 2 is generated by the processor 101 directly according to N sets of blood pressure values and N sets of PPG signals.
  • the first measurement component 102 may include an inflatable component 1022 , an air bag 1023 , and an air pressure sensor 1024 , wherein the air bag 1023 is connected to the inflatable component 1022 and the air pressure sensor 1024 respectively.
  • the inflatable part 1022 is used to inflate the air bag 1023;
  • the air pressure sensor 1024 is used to collect multiple air pressure values of the air bag 1023, wherein, among the multiple air pressure values, the oscillation of the air pressure in the air bag 1023
  • the air pressure value corresponding to the time when the wave reaches the maximum value is the first air pressure value
  • the air pressure value corresponding to the time when the air pressure oscillation wave in the air bag 1023 reaches the maximum value of a ⁇ is the second air pressure value
  • the first air pressure value is the user's systolic blood pressure
  • the second air pressure value is the user's diastolic pressure, where a is greater than 0 and less than 1.
  • the air pressure value corresponding to the moment when the oscillating wave of the air pressure in the air bag 1023 reaches the maximum value is 128, then 128 can be determined as the user's systolic blood pressure, assuming that the value of a is 0.45, and assuming that the air pressure in the air bag 1023 oscillates
  • the air pressure value corresponding to the moment when the wave reaches 0.45 ⁇ maximum value is 80, then 80 can be determined as the user's diastolic blood pressure.
  • the systolic blood pressure of 128 and the diastolic blood pressure of 80 constitute a set of blood pressure values of the user.
  • the second measurement component 103 may include multiple light sources 1031 , multiple PPG sensors 1032 , and the multiple light sources 1031 and multiple PPG sensors 1032 may be disposed on the contact surface between the device 100 and the user's body parts.
  • multiple light sources 1031 are used to emit light
  • multiple PPG sensors 1032 are used to obtain reflected light after the emitted light is reflected by the body parts of the user in contact with the device 100, and convert the received light signal For the PPG signal.
  • the device 100 may also include a display module 104 and a power supply module 105, the power module 105 is used to supply power to the device 100, and the display module 104 is used to display the user's blood pressure value to the user.
  • FIG. 2 shows the electronic control of the device 100 Logic diagram, wherein, the processor 101 may be a microcontroller unit (microcontroller unit, MCU), and the display module 104 may be a display screen.
  • the processor 101 may be a microcontroller unit (microcontroller unit, MCU)
  • the display module 104 may be a display screen.
  • the device 100 is a watch for measuring blood pressure
  • FIG. 3 shows a side view of the watch.
  • the device 100 may further include a binding part 1021, the binding part 1021 may be a strap of a watch, the airbag 1023 may be glued in the strap, or may also be fixed in the strap by a button, and the display module 104 may It is the display screen of a watch.
  • the air pressure sensor 1024 (not shown in FIG. 3 ) and the inflatable component 1022 (not shown in FIG. 3 ) are also deployed inside the dial of the watch.
  • the above-mentioned multiple light sources 1031 and multiple PPG sensors 1032 can be distributed on the back of the watch dial.
  • FIG. 4 shows a schematic diagram of the distribution of multiple light sources 1031 and multiple PPG sensors 1032 on the back of the watch dial .
  • the light source 1031 may be a light-emitting diode (light-emitting diode, LED) emitting green light.
  • the processor 101 can start collecting the user's blood pressure value, and the processor 101 can send an instruction to the inflatable component 1022 to the airbag 1023 Inflatable instruction, the inflatable component 1022 executes the instruction to inflate the airbag 1023, at the same time, the processor 101 can send an instruction to collect the air pressure value of the airbag 1023 to the air pressure sensor 1024, and the air pressure sensor 1024 executes the instruction to collect multiple air pressures of the airbag 1023 value, the processor 101 determines the blood pressure value of the user according to the first air pressure value and the second air pressure value among the multiple air pressure values.
  • Fig. 5 shows a schematic diagram of a user wearing a watch for measuring blood pressure.
  • the light source 1031 When collecting the user's PPG signal, the light source 1031 first emits light, and after the emitted light is reflected by the user's wrist, the PPG sensor 1032 obtains the reflected light after the emitted light is reflected by the user's wrist, and converts the obtained optical signal into PPG Signal.
  • the processor 101 can display the first blood pressure value to the user through the display screen of the watch.
  • the display interface of the display screen of the watch can be As shown in Figure 6.
  • the processor 101 can also display the user's blood pressure value obtained through the first measurement component 102 to the user through the display screen of the watch.
  • the processor 101 may display the blood pressure value to the user, or may also output the blood pressure value by voice, which is not limited in this application.
  • the collection time of the user's PPG signal may be a time before starting to inflate the airbag 1023 or a time after stopping inflating the airbag 1023 .
  • the difference between the time when the airbag 1023 starts to be inflated and the time when the user's PPG signal is collected is greater than or equal to the preset first threshold and less than or equal to the preset second threshold, or, the user's PPG
  • the difference between the time when the signal is collected and the time when the airbag 1023 stops inflating is greater than or equal to the preset third threshold and less than or equal to the preset fourth threshold.
  • the inflatable part 1022 When collecting the user's blood pressure, the inflatable part 1022 needs to inflate the airbag 1023, because the inflated airbag 1023 will compress the user's wrist, which will affect the accuracy of the acquired user's PPG signal. Therefore, in order to avoid affecting the accuracy of the PPG signal, the time period for collecting the user's PPG signal can be avoided from the time period when the gas inside the airbag 1023 will compress the user's wrist.
  • the i-th group of PPG signals is collected during a time period other than the time period when the gas exerts pressure on the user's wrist.
  • the processor 101 may determine a moment before starting to inflate the airbag 1023 or a moment after stopping inflating the airbag 1023 as the collection moment of the i-th group of PPG signals, so that the time period for collecting the user's PPG signal avoids the airbag The period of time during which the gas inside 1023 will compress the user's wrist.
  • the above two times can be made close.
  • the preset first threshold value is 10 seconds
  • the preset second threshold value is 40 seconds.
  • the processor 101 starts to inflate the airbag 1023 at time t 1 , and the time corresponding to t 1 -(30 seconds) can be taken as the ith time.
  • the collection moment of the group PPG signal, or, the preset third threshold is 5 seconds
  • the preset fourth threshold is 20 seconds
  • the processor 101 stops inflating the airbag 1023 at the moment t 2
  • t 2 +(10 seconds ) is used as the collection time of the i-th group of PPG signals, so that during the collection of the i-th group of PPG signals, the gas inside the airbag 1023 will not compress the wrist of the user.
  • the second measurement component 103 is used to acquire the PPG signal of the first duration
  • the processor 101 is used to determine that the PPG signal of the first duration belongs to category, for ease of description, the category to which the PPG signal of the first duration belongs is recorded as the first category, and further determines the relationship between the PPG signal of the first duration and the centers of the multiple groups of PPG signals belonging to the first category in the first historical PPG signal
  • the similarity between them send to the second measurement component 103 the instruction of collecting the PPG signal of the second duration, and the second measurement component 103, when receiving the instruction of collecting the PPG signal of the second duration,
  • the PPG signal of the second duration is collected.
  • the i-th group of PPG signals includes the PPG signal of the first duration and the PPG signal of the second duration.
  • the value of the second duration may be related to the similarity.
  • the processor 101 can first collect several groups of PPG signals with a fixed duration. And classify the several groups of PPG signals. When collecting PPG signals other than these groups in the subsequent N groups, for each group of PPG signals, you can first collect a period of PPG signals and determine the PPG signals of this period.
  • the category to which it belongs and further determine the similarity between the PPG signal of this period of time and the centers of the multiple groups of PPG signals belonging to this category among the above-mentioned groups of PPG signals, and determine whether it is necessary to continue to collect PPG of a certain period of time according to the similarity signal, when it is determined that it is not necessary to continue to collect PPG signals, the above-mentioned PPG signals collected first for a period of time are used as a group of PPG signals.
  • the PPG signals constitute a set of PPG signals.
  • the processor 101 first collects the first 30 groups of PPG signals with a fixed duration. , that is, the value of M is 30, and among the PPG signals of the above 50 groups of users, the PPG signals other than the first 30 groups of PPG signals can be collected by dynamically determining the acquisition duration.
  • the acquisition of the first 30 groups of PPG signals The process is illustrated as an example.
  • the processor 101 first collects 30 groups of PPG signals with a fixed duration, and then classifies the 30 groups of PPG signals based on a k-means clustering algorithm (clustering algorithm, k-means).
  • the first 30 groups of PPG signals here correspond to the first historical PPG signals.
  • the features of each group of PPG signals in the above 30 groups of PPG signals are extracted.
  • the feature may include the peak of the first wave of the waveform corresponding to the PPG signal, the height of the heavy wave, and the duration of the rising period.
  • the 30 groups of PPG signals are classified based on the k-means clustering algorithm, for example , the first 30 groups of PPG signals belong to three categories, which are recorded as category 1, category 2, and category 3 for the convenience of description.
  • the last 20 groups of PPG signals among the 50 groups of PPG signals of users may be collected in the following manner.
  • the following takes the 31st group of PPG signals as an example to describe the acquisition process of the last 20 groups of PPG signals.
  • the processor 101 can first obtain the PPG signals corresponding to the user's 3 pulse cycles, and the processor 101 can determine the PPG signals corresponding to the above 3 pulse cycles based on the k-nearest neighbor classification algorithm (k-nearest neighbor classification) most likely category. For example, the processor 101 determines based on the k-nearest neighbor classification algorithm that the PPG signals corresponding to the three pulse cycles most likely belong to category 2 of the above three categories, where the three pulse cycles correspond to the first duration.
  • k-nearest neighbor classification k-nearest neighbor classification
  • the processor 101 can determine that the above characteristics of the PPG signals corresponding to these 3 pulse periods are different from the multiple groups of PPGs belonging to category 2 among the first 30 groups of PPG signals.
  • the center of the signal is the similarity between the corresponding features of the PPG signal. The method for determining the central PPG signal among the multiple groups of PPG signals belonging to category 2 will be introduced below.
  • the PPG signals belonging to category 2 include: Group 2, Group 6, Group 7, Group 11, Group 14, Group 17, and Group 18 PPG signals.
  • the center of the 6th group, the 7th group, the 11th group, the 14th group, the 17th group, and the 18th group of PPG signals is the 6th group of PPG signals, and the processor 101 can determine the pulse head of the PPG signal corresponding to the 3 pulse cycles.
  • the similarity in corresponds to, in other words, the normalized distance can characterize the similarity.
  • the sixth group of PPG signals corresponds to the center of multiple groups of PPG signals in which the first historical PPG signal belongs to the first category.
  • the processor 101 may determine whether to continue to acquire the PPG signal according to the normalized distance, and when it is necessary to continue to acquire the PPG signal, the processor 101 may continue to acquire the PPG signal of the second duration.
  • the processor 101 may compare the normalized distance between the PPG signal corresponding to the above-mentioned 3 pulse periods and the sixth group of PPG signals with a preset fifth threshold, and when the above-mentioned normalized distance is less than or equal to the preset When the fifth threshold value of , then the processor 101 can determine that it is not necessary to continue to acquire PPG signals.
  • the PPG signals corresponding to the above-mentioned 3 pulse cycles are the 31st group of PPG signals, or, when the above-mentioned normalized distance is greater than When the preset fifth threshold is reached, the processor 101 can determine that it is necessary to continue to acquire the PPG signal, and then continue to acquire the PPG signal of the second duration.
  • the PPG signals corresponding to the period together form the 31st group of PPG signals. For example, if the preset fifth threshold is 0.3, and the normalized distance between the PPG signals corresponding to the above three pulses and the sixth group of PPG signals is 0.2, then the processor 101 may determine that there is no need to continue acquiring PPG signals, or, the above If the normalized distance between the PPG signals corresponding to the 3 pulses and the sixth group of PPG signals is 0.5, the processor 101 may determine that it is necessary to continue acquiring the PPG signals, and then continue acquiring the PPG signals of the second duration.
  • the processor 101 can also determine the second duration corresponding to the PPG signal to be continuously acquired according to the normalized distance, in other words, in this case, the value of the second duration related to similarity.
  • the processor 101 may determine the second duration according to the correspondence between intervals corresponding to multiple normalized distances and multiple durations.
  • the correspondence between intervals corresponding to normalized distances and durations may be as shown in Table 1 Shown:
  • the processor 101 may determine that it is not necessary to acquire and collect PPG signals, or, the above three If the normalized distance between the PPG signal corresponding to the pulse cycle and the sixth group of PPG signals falls within the corresponding range of 0.7 to 0.9, the processor 101 can determine that it is necessary to continue acquiring the PPG signal, and can determine to continue acquiring the PPG signal for 45 seconds, Furthermore, the processor 101 continues to acquire the PPG signal for 45 seconds. At this time, the PPG signal for 45 seconds and the PPG signal corresponding to the above-mentioned 3 pulse periods together form the 31st group of PPG signals.
  • the first 30 groups of PPG signal peaks, dicrotic wave height and rising period duration of the PPG signal corresponding to the 3 pulse cycles can be determined respectively.
  • a total of 30 normalized distances are obtained from the normalized distance between the peak of the first pulse wave, the height of the heavy wave and the duration of the rising period. For the convenience of description, these 30 normalized distances are recorded as normalized distance 1 ⁇ Normalized distance 30.
  • the 31st group of PPG signals can be added to the category to which it belongs before collecting the 32nd group of PPG signals, for example, to determine the 31st group
  • the PPG signal belongs to category 2 then the 31st group of PPG signals can be added in category 2, in other words, before the 31st group of PPG signals is added in category 2, the PPG signals belonging to category 2 include: group 2, Group 6, Group 7, Group 11, Group 14, Group 17, and Group 18 PPG signals, after adding Group 31 PPG signals to Category 2, the PPG signals belonging to Category 2 include: Group 2, Group 6, Group 7, Group 11, Group 14, Group 17, Group 18, Group 31 PPG signals.
  • the centers of multiple groups of PPG signals belonging to category 2 can be re-determined, and so on, after acquiring the 32nd to 50th group
  • the group of PPG signals after determining the category of each group of PPG signals, before obtaining the next group of PPG signals, the group of PPG signals can be added to the corresponding category, and multiple groups of PPG signals belonging to this category can be re-determined center of. The method for determining the center PPG signal among multiple groups of PPG signals belonging to category 2 will be introduced below.
  • the PPGs of Group 2, Group 6, Group 7, Group 11, Group 14, Group 17 and Group 18 belonging to Category 2 The signal is traversed, for example, for the second group of PPG signals, the first pulse wave peaks of the sixth group, the seventh group, the eleventh group, the fourteenth group, the seventeenth group and the eighteenth group.
  • the sum of the normalized distances will also obtain a sum for the sixth group of PPG signals, and so on, and finally 7 sums will be obtained, and the PPG signal corresponding to the maximum value of the 7 sums will be determined as a multiple signal belonging to category 2. Center of the group PPG signal.
  • the sixth group of PPG signals is the center of the plurality of groups of PPG signals belonging to category 2 described above.
  • a group of PPG signals can correspond to multiple pulses of the user, and one pulse cycle of the user corresponds to a segment of the PPG signal in the group of PPG signals.
  • a group of PPG signals can include multiple segments of PPG signals.
  • the feature of a group of PPG signals can be the result of taking the average or median value of multiple features corresponding to the multi-segment PPG signal.
  • the features of the PPG signals corresponding to the above three pulses are the result of taking the average value or median value of the three features corresponding to the three segments of PPG signals.
  • the duration of the rising period in this application can be understood as: the length of time required for each segment of the waveform of the PPG signal to rise from the minimum value to the maximum value.
  • the processor 101 may prompt the user to stop triggering an instruction to measure blood pressure through the first measurement component 102 .
  • the processor 101 may determine whether the target model 2 is available according to the value of N. For example, when the value of N is greater than or equal to 50, the processor 101 may determine that the target model 2 is available.
  • the processor 101 may determine that the target model 2 is available according to the number of PPG signal groups belonging to category 1, category 2, and category 3.
  • the processor 101 may determine whether the target model 2 is available according to a comparison result of the number of groups N belongs to category 1, category 2, and category 3 and a preset sixth threshold.
  • the preset sixth threshold value is 10, and when the number of groups belonging to category 1, category 2, and category 3 is greater than or equal to 10, the processor 101 may determine that the target model 2 is available.
  • the processor 101 can prompt the user to trigger the first measurement component 102 to measure blood pressure. After obtaining the blood pressure value collected by the first measurement component 102 , the processor can compare the blood pressure value collected by the first measurement component 102 with the blood pressure value obtained by the target model 2, if the blood pressure value collected by the first measurement component 102 and the blood pressure value obtained by the target model 2 When the absolute value of the difference is less than or equal to the preset seventh threshold, the processor 101 may determine that the target model 2 is available.
  • the processing The controller 101 may determine that the target model 2 is available.
  • the processor 101 is further configured to: determine whether the target model 2 needs to be updated during the process of measuring the user's blood pressure based on the target model 2 , when it is determined that the target model 2 needs to be updated, the user is prompted to trigger an instruction to measure blood pressure.
  • the processor 101 can determine the category to which the first PPG signal belongs.
  • the similarity between the centers of multiple groups of PPG signals belonging to the second category in the two historical PPG signals, and the update target model 2 is determined according to the similarity and the number of groups of PPG signals belonging to the second category in the second historical PPG signal.
  • the processor 101 After collecting the first PPG signal, the processor 101 determines that the first PPG signal belongs to the second category according to the first PPG signal and the aforementioned 50 sets of PPG signals, wherein the second category is one of category 1 to category 3, Further determine the normalized distance between the first PPG signal and the centers of the multiple groups of PPG signals belonging to the second category of the aforementioned 50 groups of PPG signals, and finally according to the normalized distance between the first PPG signal and the central PPG signal and the The number of PPG signals belonging to the second category among the 50 groups of PPG signals determines whether the target model 2 needs to be updated.
  • the 50 groups of PPG signals correspond to the second historical PPG signals.
  • the processor 101 may determine that the target model 2 needs to be updated.
  • the processor 101 may determine that the target model 2 needs to be updated.
  • the processor 101 can prompt the user to trigger an instruction to measure blood pressure through the first measurement component 102 through voice prompts, vibration prompts, or pop-up windows, or the processor 101 can also control the flashing of the display screen. Prompt the user to trigger an instruction to measure blood pressure.
  • the user can trigger an instruction to measure blood pressure through the first measurement component 102, for example, the user can click a button on the watch to measure blood pressure to send an instruction to the processor 101 to measure blood pressure through the first measurement component 102, Alternatively, the user may issue the voice "start blood pressure measurement", and the processor 101 may collect the user's second blood pressure value through the first measurement component 102 after receiving an instruction triggered by the user to measure blood pressure through the first measurement component 102, and The second PPG signal corresponding to the second blood pressure value is collected by the second measurement component 103 .
  • the processor 101 may update the target model 2 according to the multiple second blood pressure values and multiple sets of second PPG signals.
  • the processor 101 acquires the second blood pressure value and the second PPG signal, please refer to the above related descriptions, and for the sake of brevity, details are not repeated here.
  • the user can set the watch so that the processor 101 can regularly collect the second blood pressure value of the user through the first measurement component 102, or the user can also The watch can be set so that the processor 101 can continuously collect the user's second blood pressure value through the first measurement component 102 .
  • the processor 101 may receive the instruction to measure blood pressure through the first measurement component 102
  • the processor 101 may receive the instruction to measure blood pressure through the first measurement component 102
  • the user's blood pressure value collected by the first measurement component 102 is compared with the user's blood pressure value obtained by the updated target model 2, if the user's blood pressure value collected by the first measurement component 102 is the same as that obtained by the The user's blood pressure value obtained by the updated target model 2 is relatively close, and the processor 101 can prompt the user to stop triggering the blood pressure measurement instruction.
  • the processor 101 can prompt the user to stop triggering the blood pressure measurement instruction through voice prompts, vibration prompts, and pop-up windows instruction.
  • the processor 101 may also determine whether to update the target model 2 according to the time when the target model 2 has not been updated. Determined that target model 2 needs to be updated.
  • the preset duration may be one day, and when the processor 101 detects that the target model 2 has not been updated for more than one day, the processor 101 may determine that the target model 2 needs to be updated.
  • the processor 101 may prompt the user to keep the wrist position still while the second measurement component 103 is collecting the PPG signal. For example, the processor 101 The user can be prompted to keep the wrist position still through voice prompts, vibration prompts, and pop-up windows.
  • the target model 2 is based on the user's own N groups of blood pressure values (these N groups of blood pressure values are obtained through the first measurement component 102, the blood pressure values obtained through the first measurement component 102 The accuracy is relatively high), and the N groups of PPG signals corresponding to the N groups of blood pressure values are obtained after model training. Therefore, when the user's blood pressure value is determined based on the user's PPG signal through the target model 2, the obtained blood pressure value The measurement results will be more accurate.
  • the second measurement component for collecting PPG signals by integrating the second measurement component for collecting PPG signals with the first measurement component, it is more convenient to obtain the N sets of blood pressure values used to generate the target model 2 and the N sets of blood pressure values one by one Corresponding N groups of PPG signals.
  • the present application also provides a method for measuring blood pressure, which is applied to the above-mentioned device for measuring blood pressure, and FIG. 7 shows an exemplary flow chart of the method 700 .
  • the method 700 will be introduced below by taking the target model 1 pre-configured in the processor 101 as an example.
  • Step 701 the processor 101 detects whether the user triggers an instruction to measure blood pressure through the first measurement component 102 .
  • the processor 101 detects an instruction triggered by the user to measure blood pressure through the first measurement component 102, the processor 101 executes step 702; if the processor 101 has not detected an instruction triggered by the user to measure blood pressure through the first measurement component 102, then Processor 101 executes step 709 . It is worth mentioning that if the processor 101 detects a user-triggered instruction to measure blood pressure through the first measurement component 102, the blood pressure measurement instruction here may be triggered by the user in the following two situations:
  • Case 1 In the process of updating the target model 1 , the user triggers an instruction to measure blood pressure through the first measurement component 102 .
  • Case 2 After obtaining the target model 2 , when the target model 2 needs to be updated, the user triggers an instruction to measure blood pressure through the first measurement component 102 .
  • step 702 the processor 101 collects a set of blood pressure values of the user, and obtains a PPG signal of a first duration.
  • the processor 101 When the processor 101 detects a user-triggered instruction to measure blood pressure through the first measurement component 102, it collects a set of blood pressure values of the user through the first measurement component 102, and when a set of PPG signals corresponding to the blood pressure values is acquired, processes The device 101 may acquire the PPG signal of the first duration first.
  • step 703 the processor 101 determines the category to which the PPG signal of the first duration belongs, and determines the distance between the PPG signal of the first duration and the centers of the multiple groups of PPG signals belonging to the category corresponding to the PPG signal of the first duration in the historical PPG signals. similarity.
  • the processor 101 may determine the category to which the PPG signal of the first duration belongs, and determine the category corresponding to the PPG signal of the first duration and the PPG signal of the first duration in the historical PPG signals.
  • the similarity between the centers of multiple groups of PPG signals, the historical PPG signal here can be understood as: before the processor 101 acquires the PPG signal of the first duration, the user's information acquired by the first measurement component 102 All PPG signals corresponding to blood pressure values.
  • processor 101 For the specific method of processor 101 determining the category to which the PPG signal of the first duration belongs and determining the similarity between the PPG signal of the first duration and the centers of the multiple groups of PPG signals belonging to the category in the historical PPG signals, please refer to the foregoing related description , for the sake of brevity, will not be repeated here.
  • step 704 the processor 101 determines whether the similarity between the PPG signal of the first duration and the centers of multiple groups of PPG signals belonging to the category corresponding to the PPG signal of the first duration in the historical PPG signals is greater than a preset fifth threshold.
  • the processor 101 executes step 705, Or, if the similarity between the PPG signal of the first duration and the centers of the multiple groups of PPG signals belonging to the category corresponding to the PPG signal of the first duration among the historical PPG signals is less than or equal to the preset fifth threshold, the processor 101 Step 707 is executed. At this time, the PPG signal of the first duration acquired in step 702 is a group of PPG signals corresponding to the blood pressure value in step 702 .
  • step 705 the processor 101 determines a second duration.
  • the processor 101 may determine that it is necessary to continue acquiring the PPG signal, and It may be determined that it is necessary to continue collecting the PPG signal of the second duration.
  • determining whether to continue acquiring the PPG signal and determining the second duration when it is necessary to continue acquiring the PPG signal please refer to the foregoing related descriptions, and for the sake of brevity, details are not repeated here.
  • Step 706 the processor 101 acquires the PPG signal of the second duration.
  • the processor 101 may continue to collect the PPG signal of the second duration.
  • the time-length PPG signals constitute a group of PPG signals corresponding to the blood pressure values in step 702 .
  • step 707 the processor 101 determines whether to update the current model.
  • the processor 101 may determine to update the current model. Corresponding to the PPG signal, determine whether to update the current model. For example, if the processor 101 has accumulated a certain number of blood pressure values and PPG signals, the processor 101 may execute step 708; otherwise, execute step 701.
  • the so-called current model before executing step 707, if the processor 101 has not updated the pre-configured target model 1, the current model here is the target model 1, or, before executing step 707, if the processor 101 has The target model 1 has been updated, then the current model here is the target model 2, or, before step 707 is executed, if the processor 101 has updated the target model 2, then the current model here is the updated Target Model 2.
  • Step 708 the processor 101 updates the current model according to the collected blood pressure value and PPG signal.
  • the processor 101 can update the current model according to the collected multiple blood pressure values and multiple sets of PPG signals.
  • the specific method of updating the current model please refer to the above-mentioned related descriptions, and for the sake of brevity, details will not be repeated here.
  • Step 709 the processor 101 collects the first PPG signal through the second measuring component 103 .
  • Step 710 the processor 101 inputs the first PPG signal into the current model to obtain the first blood pressure value.
  • the processor 101 determines the category to which the first PPG signal belongs, and determines the similarity between the first PPG signal and the centers of the multiple groups of PPG signals belonging to the category in the historical PPG signals and the centers of the multiple groups of PPG signals belonging to the category in the historical PPG signals. Group number of PPG signal.
  • the processor 101 may determine the category to which the first PPG signal belongs, and determine the similarity between the first PPG signal and the centers of the PPG signals belonging to the category in the historical PPG signals, where
  • the historical PPG signal can be understood as: all the PPG signals corresponding to the user's blood pressure value obtained through the first measurement component 102 have been obtained by the processor 101 before the first PPG signal is obtained.
  • step 712 the processor 101 determines whether the similarity between the first PPG signal and the centers of multiple groups of PPG signals belonging to the category corresponding to the first PPG signal in the historical PPG signal is less than or equal to a preset fifth threshold, and the historical PPG Whether the number of groups of PPG signals belonging to the category in the signal is less than or equal to the preset sixth threshold.
  • the processor 101 executes step 713; otherwise, the processor 101 executes step 701, where the historical PPG signal can be understood as: the processor 101 is acquiring the first PPG signal All PPG signals that have been acquired before.
  • step 713 the processor 101 prompts the user to trigger an instruction to measure blood pressure.
  • the processor 101 can prompt the user to trigger an instruction to measure blood pressure. After prompting the user to trigger the instruction to measure blood pressure, The processor 101 proceeds to execute step 701 .
  • the processor 101 to prompt the user to trigger an instruction to measure blood pressure please refer to the foregoing related descriptions, and for the sake of brevity, details are not repeated here.
  • the target model 2 is based on the user's own N sets of blood pressure values (these N sets of blood pressure values are obtained through the first measurement component 102, the blood pressure values obtained through the first measurement component 102 The accuracy is relatively high), and the N groups of PPG signals corresponding to the N groups of blood pressure values are obtained after updating the target model 1. Therefore, compared with the target model 1, the target model 2 is subsequently used to determine the user’s PPG signal When the blood pressure value is obtained, the measurement result of the blood pressure value will be more accurate.
  • the operation performed by the user when triggering the instruction to measure blood pressure through the first measurement component 102 corresponds to the first operation.
  • the present application also provides a computer storage medium, including computer instructions.
  • the computer instructions When the computer instructions are run on the device for measuring blood pressure, the device for measuring blood pressure executes the method for measuring blood pressure provided in the present application.
  • the present application also provides a computer program product.
  • the computer program product is run on a computer, the computer is made to execute the method for measuring blood pressure provided in the present application.
  • the above-mentioned embodiments may be implemented in whole or in part by software, hardware, firmware or other arbitrary combinations.
  • the above-described embodiments may be implemented in whole or in part in the form of computer program products.
  • the computer program product includes one or more computer instructions. When the computer program instructions are loaded or executed on the computer, the processes or functions according to the embodiments of the present application will be generated in whole or in part.
  • the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable devices.
  • the computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website, computer, server or data center Transmission to another website site, computer, server, or data center by wired (eg, coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.).
  • the computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center that includes one or more sets of available media.
  • the available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media.
  • the semiconductor medium may be a solid state drive (SSD).
  • the disclosed systems, devices and methods may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
  • the functions described above are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the embodiments of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disc and other media that can store program codes. .

Abstract

本申请提供了一种测量血压的装置与方法，该装置包括处理器101、第一测量组件102与第二测量组件103，第一测量组件102，用于采集用户的血压值；第二测量组件103，用于采集用户的PPG信号；处理器101，用于控制第一测量组件102采集用户的N组血压值，并控制第二测量组件103采集与N组血压值相对应的N组PPG信号，根据N组血压值和N组PPG信号生成目标模型，目标模型的输入为PPG信号，输出为血压值，在目标模型生成后，控制第二测量组件103采集用户的第一PPG信号，根据目标模型和第一PPG信号确定第一血压值。该装置能够在对用户的血压值进行测量时，提高测量结果的准确性，且操作简便。

Description

测量血压的装置与方法
本申请要求于2021年6月30日提交国家知识产权局、申请号为202110747912.5、申请名称为“测量血压的装置与方法”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及终端技术领域，并且更具体地，涉及一种测量血压的装置与方法。
背景技术
目前，国内高血压患者的人数在心血管病患者的总人数中占有非常大的比重，对于高血压患者，日常通过测量血压来进行血压的监测是必不可少的。
测量血压的方法通常包括听诊法与示波法，这两种方法均需要在将袖带缠绕在人的胳膊上以后，对袖带进行人工或者自动充放气，将这种测量血压的方法可以称为袖带式测量方法，将相应的设备可以称为袖带式的测量的血压的设备。
虽然袖带式的测量血压的设备的测量精度可以达到医疗标准，但其操作不便且容易引起用户不适。因此，有必要提供一种操作方便且测量精度较高的测量血压的设备。
发明内容
本申请提供一种测量血压的装置与方法，该装置能够在对用户的血压值进行测量时，提高测量结果的准确性，且操作简便。
第一方面，提供了一种测量血压的装置，其特征在于，所述测量血压装置包括处理器101、第一测量组件102与第二测量组件103，所述第一测量组件102包括充气部件1022、气囊1023、气压传感器1024，所述气囊1023分别与所述充气部件1022、所述气压传感器1024连接，所述第二测量组件103包括光源1031与PPG传感器1032；所述第一测量组件102，用于采集用户的血压值；所述第二测量组件103，用于采集所述用户的PPG信号；所述处理器101，用于控制所述第一测量组件102采集所述用户的N组血压值；控制所述第二测量组件103采集与所述N组血压值相对应的N组PPG信号；根据所述N组血压值和所述N组PPG信号生成目标模型，所述目标模型的输入为PPG信号，输出为血压值，N为大于或等于2的整数；所述处理器101，还用于在所述目标模型生成后，控制所述第二测量组件103采集用户的第一PPG信号；根据所述目标模型和所述第一PPG信号确定第一血压值。
基于上述技术方案，由于目标模型是基于用户自己的N组血压值(这N组血压值是通过第一测量组件102获得的，通过第一测量组件102获得的血压值的准确度比较高)、与该N组血压值一一对应的N组PPG信号进行模型训练后得到的，因此，后续通过目标模型2基于用户的PPG信号确定用户的血压值时，得到的血压值的测量结果会更加准确。
此外，通过将用于采集PPG信号的第二测量组件与第一测量组件集成在一起，使得能够更为便捷的得到用于生成目标模型的N组血压值以及与该N组血压值一一对应的N组PPG信号。本申请中的目标模型与上述目标模型2相对应。
在一种可能的实现方式中，所述处理器还用于，在采集所述N组PPG信号中的第i 组PPG信号时，控制所述第二测量组件103获取第一时长的PPG信号；确定所述第一时长的PPG信号属于的类别；确定所述第一时长的PPG信号与第一历史PPG信号中属于所述第一时长的PPG信号的类别的中心之间的相似度，其中，所述第一历史PPG信号包括在获取所述第i组PPG信号前，已经获取到的PPG信号；根据所述相似度，确定第二时长；控制所述第二测量组件103采集所述第二时长的PPG信号；将所述第一时长的PPG信号和所述第二时长的PPG信号合并为第i组PPG信号。
基于上述技术方案，通过先获取第一时长PPG信号，并确定第一时长的PPG信号属于的类别，进一步确定第一时长的PPG信号与第一历史PPG信号中属于第一时长的PPG信号的类别的中心之间的相似度，根据该相似度，确定是否继续采集第二时长PPG信号，使得在不影响目标模型2的测量精度的前提下，可以灵活确定一组PPG信号的采集时长。
在一种可能的实现方式中，所述处理器还用于，在采集所述N组PPG信号中的第1组-第M组PPG信号时，控制所述第二测量组件103获取第三时长的PPG信号，M为小于i的整数。
在一种可能的实现方式中，所述处理器101，还用于在确定更新所述目标模型的情况下，提示所述用户触发通过所述第一测量组件102和所述第二测量组件103测量血压的指令；响应于所述用户的第一操作，控制所述第一测量组件102采集第二血压值，控制所述第二测量组件103采集与所述第二血压值对应的第二PPG信号；根据所述第二血压值和所述第二PPG信号，更新所述目标模型。
基于上述技术方案，为了进一步提高目标模型2的测量精度，在确定需要对目标模型2进行更新时，提示用户触发通过第一测量组件测量血压的指令，进而根据基于用户触发的通过第一测量组件测量血压的指令获取到的血压值与PPG信号，对目标模型2进行更新。
在一种可能的实现方式中，所述处理器101，还用于确定所述第一PPG信号的类别；
所述处理器101，还用于确定所述第一PPG信号与第二历史PPG信号中属于所述第一PPG信号的类别的PPG信号的中心之间的相似度，并根据所述相似度以及所述第二历史PPG信号中属于所述第一PPG信号的类别的PPG信号的组数，确定是否需要更新所述目标模型，其中，所述第二历史PPG信号包括所述N组PPG信号。
在一种可能的实现方式中，所述处理器101，还用于根据所述目标模型未更新的时长，确定是否需要更新所述目标模型。
在一种可能的实现方式中，所述充气部件1022，用于向所述气囊1023充气；
所述气压传感器1024，用于采集所述气囊1023的多个气压值，所述多个气压值中的第一气压值与第二气压值为所述用户的血压值，所述第一气压值为所述气囊1023内的气压的振荡波到达最大值的时刻对应的气压值，所述第二气压值为所述振荡波到达a×所述最大值的时刻对应的气压值，a大于0且小于1。
在一种可能的实现方式中，开始向所述气囊1023充气的时刻与所述第i组PPG信号的采集时刻之间的差值大于或等于预设的第一阈值，且小于或等于预设的第二阈值，所述开始向所述气囊1023充气的时刻在所述第i组PPG信号的采集时刻之后，或者，所述第i组PPG信号的采集时刻与停止向所述气囊1023充气的时刻之间的差值大于或等于预设的第三阈值，且小于或等于预设的第四阈值，所述停止向所述气囊1023充气的时刻在所 述第i组PPG信号的采集时刻之前。
由于在采集用户的第i组血压值时，充气部件1022需要对气囊1023充气，由于被充气的气囊1023会对用户的手腕部位产生压迫，进而会影响到获取到的用户的第i组PPG信号的准确性。
为了避免影响PPG信号的准确性，通过使第i组PPG信号的采集时刻为开始向气囊1023充气前的一个时刻或停止向气囊1023充气后的一个时刻，从而使得采集第i组PPG信号的时间段避开气囊1023内部的气体会对用户的手腕部位产生压迫的时间段，换句话说，使得在气囊1023内部的气体会对用户的手腕部位产生压迫以外的时间段采集第i组PPG信号，从而提高获取到的用户的第i组PPG信号的准确性。
第二方面，提供了一种测量血压的方法，所述方法应用于测量血压的装置，所述测量血压的装置包括第一测量组件102与第二测量组件103，所述第一测量组件102包括充气部件1022、气囊1023、气压传感器1024，所述气囊1023分别与所述充气部件1022、所述气压传感器1024连接，所述第二测量组件103包括光源1031与PPG传感器1032，所述方法包括：控制所述第一测量组件102采集所述用户的N组血压值；控制所述第二测量组件103采集与所述N组血压值相对应的N组PPG信号；根据所述N组血压值和所述N组PPG信号生成目标模型，其中，所述目标模型的输入为PPG信号，输出为血压值，N为大于或等于2的整数；在所述目标模型生成后，控制所述第二测量组件采集所述用户的第一PPG信号；根据所述目标模型和所述第一PPG信号确定第一血压值。
在一种可能的实现方式中，在采集所述N组PPG信号中的第i组PPG信号时，所述控制所述第二测量组件103采集与所述N组血压值相对应的N组PPG信号，包括：控制所述第二测量组件103获取第一时长的PPG信号；确定所述第一时长的PPG信号属于的类别；确定所述第一时长的PPG信号与第一历史PPG信号中属于所述第一时长的PPG信号的类别的中心之间的相似度，其中，所述第一历史PPG信号包括在获取所述第i组PPG信号前，已经获取到的PPG信号；根据所述相似度，确定第二时长；控制所述第二测量组件103采集所述第二时长的PPG信号；将所述第一时长的PPG信号和所述第二时长的PPG信号合并为第i组PPG信号。
在一种可能的实现方式中，在采集所述N组PPG信号中的第1组-第M组PPG信号时，所述控制所述第二测量组件103采集与所述N组血压值相对应的N组PPG信号，包括：控制所述第二测量组件103获取第三时长的PPG信号，M为小于i的整数。
在一种可能的实现方式中，所述方法还包括：在确定更新所述目标模型的情况下，提示所述用户触发通过所述第一测量组件102和所述第二测量组件103测量血压的指令；响应于所述用户的第一操作，控制所述第一测量组件102采集第二血压值，控制所述第二测量组件103采集与所述第二血压值对应的第二PPG信号；根据所述第二血压值和所述第二PPG信号，更新所述目标模型。
在一种可能的实现方式中，所述方法还包括：确定所述第一PPG信号的类别；
确定所述第一PPG信号与第二历史PPG信号中属于所述第一PPG信号的类别的PPG信号的中心之间的相似度，并根据所述相似度以及所述第二历史PPG信号中属于所述第一PPG信号的类别的PPG信号的组数，确定是否需要更新所述目标模型，其中，所述第二历史PPG信号包括所述N组PPG信号。
在一种可能的实现方式中，所述方法还包括：根据所述目标模型未更新的时长，确定是否需要更新所述目标模型。
在一种可能的实现方式中，所述控制所述第一测量组件102采集所述用户的N组血压值，包括：控制所述充气部件1022向所述气囊1023充气；控制所述气压传感器1024采集所述气囊1023的多个气压值，所述多个气压值中的第一气压值与第二气压值为所述用户的一组血压值，所述第一气压值为所述气囊1023内的气压的振荡波到达最大值的时刻对应的气压值，所述第二气压值为所述振荡波到达a×所述最大值的时刻对应的气压值，a大于0且小于1。
在一种可能的实现方式中，开始向所述气囊1023充气的时刻与所述第i组PPG信号的采集时刻之间的差值大于或等于预设的第一阈值，且小于或等于预设的第二阈值，所述开始向所述气囊1023充气的时刻在所述第i组PPG信号的采集时刻之后，或者，所述第i组PPG信号的采集时刻与停止向所述气囊1023充气的时刻之间的差值大于或等于预设的第三阈值，且小于或等于预设的第四阈值，所述停止向所述气囊1023充气的时刻在所述第i组PPG信号的采集时刻之前。
关于第二方面中的任一实现方式的有益效果，请参考第一方面的相关描述，为了简洁，此处不再赘述。
第三方面，提供了一种测量血压的装置，该装置具有实现上述方面及可能的设计中任一方法中测量血压的装置行为的功能。该功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。硬件或软件包括至少一个与上述功能相对应的模块或单元。例如，测量模块或单元、传感模块或单元、充气模块或单元等。
第四方面，提供了一种计算机存储介质，包括计算机指令，当计算机指令在测量血压的装置上运行时，使得测量血压的装置执行上述方面任一项可能的设计中的测量血压的方法。
第五方面，提供了一种计算机程序产品，当所述计算机程序产品在计算机上运行时，使得计算机执行上述方面任一项可能的设计中的测量血压的方法。
附图说明
图1为本申请提供的测量血压的装置100的示意性框图。
图2为本申请提供的测量血压的装置100的电控逻辑示意图。
图3为本申请提供的测量血压的装置100的结构示意图。
图4为本申请提供的多个光源与多个光电传感器在装置本体上的分布状态示意图。
图5为本申请提供的用户佩戴测量血压的手表的示意图。
图6为本申请提供的测量血压的手表的显示屏的显示界面示意图。
图7为本申请提供的测量血压的方法的示意性流程图。
具体实施方式
下面将结合附图，对本申请各实施例中的技术方案进行描述。其中，在本申请的描述中，除非另有说明，“/”表示前后关联的对象是一种“或”的关系，例如，A/B可以表示A或B；本申请中的“和/或”仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况，其中A,B可以是单数或者复数。并且，在本申请的描述中，除非另有说明，“多个”是指两个或多于两个。 “以下至少一项(个)”或其类似表达，是指的这些项中的任意组合，包括单项(个)或复数项(个)的任意组合。例如，a，b，或c中的至少一项(个)，可以表示：a，b，c，a-b，a-c，b-c，或a-b-c，其中a，b，c可以是单个，也可以是多个。另外，为了便于清楚描述本申请实施例的技术方案，在本申请的实施例中，采用了“第一”、“第二”等字样对功能和作用基本相同的相同项或相似项进行区分。本领域技术人员可以理解“第一”、“第二”等字样并不对数量和执行次序进行限定，并且“第一”、“第二”等字样也并不限定一定不同。
本申请提供了一种测量血压的装置100。
在一种实现方式中，装置100中可以预先配置有目标模型1，目标模型1表示PPG信号与血压值的对应关系，例如，可以在装置100出厂前，为装置100预先配置目标模型1，目标模型1的输入可以是用户的光电容积脉搏波描记(photoplethysmogram，PPG)信号，输出可以是用户的一组血压值，换句话说，当将用户的PPG信号输入目标模型1后，可以通过目标模型1得到用户的一组血压值。
应理解的是，本申请中的用户的一组血压值包括用户的收缩压(systolic blood pressure，SBP)与舒张压(diastolic blood pressure，DBP)，为了便于描述，本申请用一组血压值代替用户的收缩压与舒张压。
为了提高基于用户的PPG信号得到的用户的血压值的准确性，可以使用用户的多组PPG信号、用户的多组血压值(这里的用户的多组血压值并不是通过上述目标模型1得到的，而是下文中的第一测量组件得到的)，对目标模型1进行更新，得到目标模型2，其中，多组血压值与多组PPG信号一一对应。由于目标模型2是根据用户自己的多组血压值与多组PPG信号对目标模型1更新后得到的，因此，通过目标模型2且基于用户的PPG信号得到的用户的血压值相对于目标模型1会更准确。本申请中的目标模型2与目标模型相对应。
在这种情况下，装置100包括处理器101，第一测量组件102与第二测量组件103，图1示出了装置100的示意性框图。
例如，第一测量组件102用于采集用户的血压值，换句话说，通过第一测量组件102对用户进行了N次关于血压的采集，得到了用户的N组血压值，N为大于2的整数。例如，处理器101可以在检测到用户触发的通过第一测量组件102测量血压的指令后，向第一测量组件102发送采集血压的指令，第一测量组件102执行采集血压的指令，采集用户的血压值。
第二测量组件103用于采集用户的PPG信号，处理器101用于控制第二测量组件103采集与用户的血压值相对应的一组PPG信号，关于处理器101获取与用户的血压值相对应的一组PPG信号的方法请见下文中的相关描述。
值得一提的是，本申请中的用户的血压值、与该血压值对应的一组PPG信号是对用户的同一部位测量后得到的。
处理器101用于根据用户的N组血压值与N组PPG信号，对目标模型1进行更新，得到目标模型2，目标模型2表示用户的PPG信号与血压值的对应关系，目标模型2的输入为用户的PPG信号，输出为用户的血压值。
在基于目标模型2测量用户的血压时，处理器101还用于：在获取到用户的第一PPG信号后，将第一PPG信号输入目标模型2，得到用户的第一血压值。
需要说明的是，上述的处理器101中预先配置有目标模型1仅作为一种举例，并不对本申请构成限定，在具体实现时，也可以不在处理器101中预先配置目标模型1，而是由处理 器101直接根据N组血压值与N组PPG信号，生成目标模型2。
可选的，第一测量组件102可以包括充气部件1022、气囊1023、气压传感器1024，其中，气囊1023分别与充气部件1022、气压传感器1024连接。
在采集用户的血压值时：充气部件1022，用于向气囊1023充气；气压传感器1024，用于采集气囊1023的多个气压值，其中，在多个气压值中，气囊1023内的气压的振荡波到达最大值的时刻对应的气压值为第一气压值，气囊1023内的气压的振荡波到达a×最大值的时刻对应的气压值为第二气压值，第一气压值为用户的收缩压，第二气压值为用户的舒张压，其中，a大于0且小于1。
例如，气囊1023内的气压的振荡波到达最大值的时刻对应的气压值为128，则可以将128确定为用户的收缩压，假设a的取值为0.45，并且假设气囊1023内的气压的振荡波到达0.45×最大值的时刻对应的气压值为80，则可以将80确定为用户的舒张压，此时，收缩压128与舒张压80组成了用户的一组血压值。
可选的，第二测量组件103可以包括多个光源1031、多个PPG传感器1032、多个光源1031与多个PPG传感器1032可以设置在装置100与用户的身体部位的接触面上。
在采集PPG信号时：多个光源1031，用于发射光线，多个PPG传感器1032，用于获取发射光线被用户与装置100接触的身体部位反射后的反射光线，并将接收到的光信号转换为PPG信号。
可选的，装置100还可以包括显示模块104以及电源模块105，电源模块105用于为装置100供电，显示模块104用于向用户显示用户的血压值，图2示出了装置100的电控逻辑示意图，其中，处理器101可以为微控制单元(microcontroller unit，MCU)，显示模块104可以为显示屏。
可选的，装置100为测量血压的手表，图3示出了手表的侧视图。在这种情况下，装置100还可以包括捆绑部件1021，捆绑部件1021可以为手表的表带，气囊1023可以粘在表带内，或者也可以通过钉扣固定在表带内，显示模块104可以为手表的显示屏，值得一提的是，当装置100为手表时，气压传感器1024(图3中未示出)与充气部件1022(图3中未示出)也部署在手表表盘内部。
当装置100为手表时，上述多个光源1031与多个PPG传感器1032可以分布在手表表盘的背面，图4示出了多个光源1031与多个PPG传感器1032在手表表盘的背面的分布状态示意图。示例性的，光源1031可以是发射绿光的发光二极管(light-emitting diode，LED)。
用户将手表佩戴在手腕部位后，如果检测到用户触发的通过第一测量组件102测量血压的指令，处理器101可以开始采集用户的血压值，处理器101可以向充气部件1022发送指示向气囊1023充气的指令，充气部件1022执行该指令，向气囊1023充气，同时，处理器101可以向气压传感器1024发送采集气囊1023的气压值的指令，气压传感器1024执行该指令，采集气囊1023的多个气压值，处理器101根据多个气压值中的第一气压值与第二气压值，确定用户的血压值。图5示出了用户佩戴测量血压的手表的示意图。
在采集用户的PPG信号时，首先由光源1031发射光线，在发射光线被用户的手腕反射后，PPG传感器1032获取发射光线被用户手腕反射后的反射光线，并将获取到的光信号转换为PPG信号。
在基于用户的第一PPG信号与目标模型2得到用户的第一血压值后，处理器101可以通 过手表的显示屏将第一血压值显示给用户，此时，手表的显示屏的显示界面可以如图6所示。
除此之外，处理器101还可以通过手表的显示屏将通过第一测量组件102得到的用户的血压值显示给用户。
需要说明的是，在确定血压值之后，处理器101可以将血压值显示给用户，或者，还可以通过语音输出血压值，本申请对此不作限定。
可选的，上述用户的PPG信号的采集时刻可以为开始向气囊1023充气前的一个时刻或停止向气囊1023充气后的一个时刻。换句话说，开始向气囊1023充气的时刻与用户的PPG信号的采集时刻之间的差值大于或等于预设的第一阈值，且小于或等于预设的第二阈值，或者，用户的PPG信号的采集时刻与停止向气囊1023充气的时刻之间的差值大于或等于预设的第三阈值，且小于或等于预设的第四阈值。
在采集用户的血压值时，充气部件1022需要对气囊1023充气，由于被充气的气囊1023会对用户的手腕部位产生压迫，进而会影响到获取到的用户的PPG信号的准确性。因此，为了避免影响PPG信号的准确性，可以使得采集用户的PPG信号的时间段避开气囊1023内部的气体会对用户的手腕部位产生压迫的时间段，换句话说，可以在气囊1023内部的气体会对用户的手腕部位产生压迫以外的时间段采集第i组PPG信号。
例如，处理器101可以将开始向气囊1023充气前的一个时刻或停止向气囊1023充气后的一个时刻确定为第i组PPG信号的采集时刻，以使得采集用户的PPG信号的时间段避开气囊1023内部的气体会对用户的手腕部位产生压迫的时间段。
在一些实施例中，为了使采集PPG信号的时刻与测量血压值的时刻用户的身体状态尽量保持一致，可以使上述两个时刻接近。例如，预设的第一阈值为10秒，预设的第二阈值为40秒，处理器101在t 1时刻开始向气囊1023充气，可以将t 1-(30秒)对应的时刻作为第i组PPG信号的采集时刻，或者，预设的第三阈值为5秒，预设的第四阈值为20秒，处理器101在t 2时刻停止向气囊1023充气，可以将t 2+(10秒)对应的时刻作为第i组PPG信号的采集时刻，从而使得在采集第i组PPG信号期间，气囊1023内部的气体不会对用户的手腕部位产生压迫。
可选的，在采集上述N组PPG信号中的第i组PPG信号时：第二测量组件103，用于获取第一时长的PPG信号，处理器101，用于确定第一时长的PPG信号属于的类别，为了便于描述，将第一时长的PPG信号属于的类别记为第一类别，进一步确定第一时长的PPG信号与第一历史PPG信号中属于第一类别的多组PPG信号的中心之间的相似度，并根据该相似度，向第二测量组件103发送采集第二时长的PPG信号的指令，第二测量组件103，用于在接收到采集第二时长的PPG信号的指令时，采集第二时长的PPG信号，此时，第i组PPG信号包括第一时长的PPG信号与第二时长的PPG信号。其中，上述第二时长的取值可以与相似度相关。
假设在对目标模型1更新时，共采集了N组用户的血压值与N组用户的PPG信号，在采集N组用户的PPG信号时，处理器101可以先以固定时长采集若干组PPG信号，并对该若干组PPG信号进行分类，在后续采集N组中除该若干组以外的PPG信号时，对于每一组PPG信号，可以先采集一段时长的PPG信号，并确定这一段时长的PPG信号所属于的类别，进一步确定这一段时长的PPG信号与上述若干组PPG信号中属于该类别的多组PPG信号的中 心之间的相似度，根据该相似度，确定是否需要继续采集一段时长的PPG信号，当确定不需要继续采集PPG信号时，则上述先采集的一段时长的PPG信号作为一组PPG信号，当确定需要继续采集PPG信号时，则继续采集的PPG信号与先采集的一段时长的PPG信号组成了一组PPG信号。通过该方法，可以灵活确定一组PPG信号的采集时长。本申请中的固定时长与第三时长对应。
假设在对目标模型1更新时，共采集了50组用户的血压值与50组用户的PPG信号，对于这50组用户的PPG信号，假设处理器101先以固定时长采集了前30组PPG信号，即，M的取值为30，上述50组用户的PPG信号中除前30组PPG信号以外的PPG信号可以是通过动态确定采集时长的方式采集的，下面首先对前30组PPG信号的采集过程进行示例性说明。
例如，处理器101先以固定时长采集了30组PPG信号，之后基于k均值聚类算法(clustering algorithm，k-means)对该30组PPG信号进行分类。此处的前30组PPG信号与第一历史PPG信号相对应。
例如，提取上述30组PPG信号中每一组PPG信号的特征。例如该特征可以包括PPG信号对应的波形的脉首波波峰，重博波高度以及上升期持续时长等特征，根据提取到的特征，基于k均值聚类算法对该30组PPG信号进行分类，例如，前30组PPG信号属于三类，为了便于描述，分别记为类别1、类别2、类别3。
50组用户的PPG信号中的后20组PPG信号可以是通过以下方式采集的。下面以第31组PPG信号为例对后20组PPG信号的采集过程进行说明。
对于第31组PPG信号，处理器101可以先获取用户的3个脉搏周期对应的PPG信号，处理器101可以基于k近邻分类算法(k-nearest neighbor classification)确定上述3个脉搏周期对应的PPG信号最可能属于的类别。例如，处理器101基于k近邻分类算法确定这3个脉搏周期对应的PPG信号最可能属于上述3种类别中的类别2，此处的3个脉搏周期与第一时长对应。关于基于k近邻分类算法确定上述3个脉搏周期对应的PPG信号最可能属于的类别的方法将在下文进行介绍。
在确定出这3个脉搏周期对应的PPG信号最可能属于的类别后，处理器101可以确定这3个脉搏周期对应的PPG信号的上述特征与前30组PPG信号中属于类别2的多组PPG信号的中心PPG信号的相应的特征之间的相似度。关于确定属于类别2的多组PPG信号的中心PPG信号的方法将在下文进行介绍。
例如，假设属于类别2的PPG信号包括：第2组、第6组，第7组、第11组、第14组、第17组、第18组PPG信号，假设属于类别2的第2组、第6组，第7组、第11组、第14组、第17组、第18组PPG信号的中心为第6组PPG信号，处理器101可以确定3个脉搏周期对应的PPG信号的脉首波波峰，重博波高度以及上升期持续时长与第6组PPG信号的脉首波波峰，重博波高度以及上升期持续时长之间的归一化距离，其中，归一化距离与本申请中的相似度对应，换句话说，归一化距离可以表征相似度。例如，归一化距离的值越小，代表相似度越高，反之，归一化距离的值越小，则代表相似度越低。值得一提的是，此处的第6组PPG信号与第一历史PPG信号属于第一类别的多组PPG信号的中心相对应。
处理器101可以根据归一化距离确定是否继续获取PPG信号，当需要继续获取PPG信号时，处理器101可以继续获取第二时长的PPG信号。
例如，处理器101可以将上述3个脉搏周期对应的PPG信号与第6组PPG信号之间的归一 化距离与预设的第五阈值进行比较，当上述归一化距离小于或等于预设的第五阈值时，则处理器101可以确定无需继续获取PPG信号，在这种情况下，上述3个脉搏周期对应的PPG信号即为第31组PPG信号，或者，当上述归一化距离大于预设的第五阈值时，则处理器101可以确定需要继续获取PPG信号，进而继续获取第二时长的PPG信号，在这种情况下，继续获取的第二时长的PPG信号与上述3个脉搏周期对应的PPG信号共同组成了第31组PPG信号。例如，预设的第五阈值为0.3，上述3个脉搏对应的PPG信号与第6组PPG信号之间的归一化距离为0.2，则处理器101可以确定无需继续获取PPG信号，或者，上述3个脉搏对应的PPG信号与第6组PPG信号之间的归一化距离为0.5，则处理器101可以确定需要继续获取PPG信号，进而继续获取第二时长的PPG信号。
此外，在需要继续获取PPG信号的情况下，处理器101还可以根据归一化距离确定继续获取的PPG信号对应的第二时长，换句话说，在这种情况下，第二时长的取值与相似度相关。
例如，处理器101可以根据多个归一化距离对应的区间与多个时长之间的对应关系确定第二时长，例如，归一化距离对应的区间与时长之间的对应关系可以如表一所示：
表一
Figure PCTCN2022084070-appb-000001
例如，上述3个脉搏周期对应的PPG信号与第6组PPG信号之间的归一化距离落入0～0.3对应的区间，则处理器101可以确定无需获取采集PPG信号，或者，上述3个脉搏周期对应的PPG信号与第6组PPG信号之间的归一化距离落入0.7～0.9对应区间，则处理器101可以确定需要继续获取PPG信号，并且可以确定继续获取45秒的PPG信号，进而处理器101继续获取45秒的PPG信号，此时，继续获取的45秒的PPG信号与上述3个脉搏周期对应的PPG信号共同组成了第31组PPG信号。
需要说明的是，上述方案仅作为示例性说明，并不构成对本申请的限定，本申请对通过固定时长的采集方式采集的PPG信号组数与通过灵活确定采集时长的方式采集的PPG信号组数不作限定。
下面对基于k近邻分类算法确定上述3个脉搏周期对应的PPG信号最可能属于的类别的方法进行描述。
在确定上述3个脉搏周期对应的PPG信号最可能属于的类别时，可以分别确定3个脉搏周期对应的PPG信号的脉首波波峰，重博波高度以及上升期持续时长与前30组PPG信号脉首波波峰，重博波高度以及上升期持续时长之间的归一化距离，共得到30个归一化距离，为方便描述，将这30个归一化距离记为归一化距离1～归一化距离30。
对上述30个归一化距离按照从小到大的顺序进行排序，根据上述30个归一化距离的大小排序，从上述30组PPG信号中选出前若干个归一化距离对应的若干组PPG信号，例如，从上述30组PPG信号中选出前10个归一化距离对应的10组PPG信号。
在选出的上述10组PPG信号中，假设有3组PPG信号属于类别1，5组PPG信号属于类别2，2组PPG信号属于类别3，由于在上述10组PPG信号中，属于类别2的组数最多，因为，可以确定上述3个脉搏周期对应的PPG信号最可能属于的类别为类别2。
值得一提的是，在确定了第31组PPG信号属于的类别后，可以在采集第32组PPG信号之前，将第31组PPG信号添加在其所属于的类别中，例如，确定第31组PPG信号属于类别2，则可以将第31组PPG信号添加在类别2中，换句话说，在将第31组PPG信号添加在类别2中之前，属于类别2的PPG信号包括：第2组、第6组，第7组、第11组、第14组、第17组、第18组PPG信号，在将第31组PPG信号添加在类别2中之后，属于类别2的PPG信号则包括：第2组、第6组，第7组、第11组、第14组、第17组、第18组、第31组PPG信号。
在将第31组PPG信号添加在了类别2后，在采集第32组PPG信号之前，可以重新确定属于类别2的多组PPG信号的中心，以此类推，在获取第32组至第50组PPG信号时，均可以在确定了每一组PPG信号的类别后，在获取下一组PPG信号之前，将该组PPG信号添加在相应的类别中，并重新确定属于该类别的多组PPG信号的中心。下面对确定属于类别2的多组PPG信号的中心PPG信号的方法进行介绍。
在确定属于类别2的多组PPG信号的中心PPG信号时，可以对属于类别2的第2组、第6组，第7组、第11组、第14组、第17组、第18组PPG信号进行遍历，例如，对于第2组PPG信号而言，分别计算第6组，第7组、第11组、第14组、第17组、第18组PPG信号的脉首波波峰，重博波高度以及上升期持续时长与第2组PPG信号的脉首波波峰，重博波高度以及上升期持续时长之间的归一化距离，得到6个归一化距离，并确定这6个归一化距离的总和，对于第6组PPG信号，也会得到一个总和，以此类推，最终会得到7个总和，将该7个总和中的最大值对应的PPG信号确定为属于类别2的多组PPG信号的中心。
例如，上述第6组PPG信号对应的总和是7个总和中的最大值，则第6组PPG信号为上述属于类别2的多组PPG信号的中心。
在本申请中，一组PPG信号可以对应用户的多个脉搏，用户的一个脉搏周期对应一组PPG信号中的一段PPG信号，换句话说，一组PPG信号中可以包括多段PPG信号，上述每一组PPG信号的特征可以是对多段PPG信号对应的多个特征取平均值或取中位值的结果，例如，假设一组PPG信号包括3段PPG信号，则每一段PPG信号均包括脉首波波峰，重博波高度以及上升期持续时长三个特征，此时，这一组PPG信号的特征可以包括3个脉首波波峰取平均值后的结果、3个重博波高度取平均值后的结果以及3个重博波高度取平均值后的结果。相应的，上述3个脉搏对应的PPG信号的特征是3段PPG信号对应的3个特征取平均值或取中位值的结果。值得一提的是，本申请中的上升期持续时长可以理解为：从每一段PPG信号的波形的最小值上升至最大值所需的时间长度。
需要说明的是，关于根据多段PPG信号的多个特征确定一组PPG信号的特征的方法，上述列举的取平均值或取中位值的方法仅作为示例性说明，并不构成对本申请的限定。
在本申请中，可以通过以下方式确定生成的目标模型2是否可用，换句话说，确定生成的目标模型2是够满足血压值的测量精度，如果满足，则代表成功生成了目标模型2，在这种情况下，处理器101可以提示用户停止触发通过第一测量组件102测量血压的指令。
方式1
处理器101可以根据N的取值判断目标模型2是否可用，例如，当N的取值大于或等于50时，则处理器101可以确定目标模型2可用。
方式2
处理器101可以根据属于类别1、类别2、类别3的PPG信号组数，确定目标模型2可用。
例如，处理器101可以根据N属于类别1、类别2、类别3的组数与预设的第六阈值的比较结果，确定目标模型2是否可用。
预设的第六阈值的取值为10，则当属于类别1、类别2、类别3的组数均大于或等于10时，处理器101可以确定目标模型2可用。
方式3
在使用N组血压值与N组PPG信号生成目标模型2后，处理器101可以提示用户触发通多第一测量组件102测量血压的指令，在获取到通过第一测量组件102采集的血压值后，处理器可以将通过第一测量组件102采集的血压值与通过目标模型2得到的血压值进行比较，如果通过第一测量组件102采集的血压值与通过目标模型2得到的血压值之间的差值的绝对值小于或等于预设的第七阈值时，则处理器101可以确定目标模型2可用。
例如，预设的第七阈值的取值为10，则当通过第一测量组件102采集的血压值与通过目标模型2得到的血压值之间的差值的绝对值小于或等于10时，处理器101可以确定目标模型2可用。
可选的，在基于N组血压值与N组PPG信号得到目标模型2后，处理器101还用于：在基于目标模型2测量用户的血压的过程中，确定是否需要对目标模型2进行更新，在确定需要更新目标模型2的情况下，提示用户触发测量血压的指令。
例如，处理器101可以在采集到第一PPG信号后，确定第一PPG信号属于的类别，为了便于描述，将第一PPG信号属于的类别记为第二类别，进一步确定第一PPG信号与第二历史PPG信号中属于第二类别的多组PPG信号的中心之间的相似度，并根据相似度以及第二历史PPG信号中属于第二类别的PPG信号的组数，确定更新目标模型2。
处理器101在采集到第一PPG信号后，根据第一PPG信号与前述50组PPG信号，确定第一PPG信号属于第二类别，其中，第二类别是类别1至类别3中的一种，进一步确定第一PPG信号与前述50组PPG信号属于第二类别的多组PPG信号的中心之间的归一化距离，最终根据第一PPG信号与中心PPG信号之间的归一化距离以及属于50组PPG信号中属于第二类别的PPG信号的组数，确定是否需要更新目标模型2。关于处理器101确定第一PPG信号最可能属于的类别以及确定第一PPG信号与中心PPG信号之间的归一化距离的方法请参考前述相关描述，为了简洁，此处不再赘述。此处的50组PPG信号与第二历史PPG信号相对应。
例如，第一PPG信号与中心PPG信号之间的归一化距离小于或等于预设的第五阈值时，且属于第二类别的多组PPG信号的组数小于或等于预设的第六阈值，则处理器101可以确定需要更新目标模型2。
例如，预设的第五阈值为0.3，预设的第六阈值为10，第一PPG信号与中心PPG信号之间的归一化距离为0.2，属于第二类别的多组PPG信号的组数为8，则处理器101可以确定需要更新目标模型2。
在确定需要更新目标模型2时，处理器101可以通过语音提示、震动提示、弹窗提示用户触发通过第一测量组件102测量血压的指令，或者，处理器101还可以通过控制显示屏闪烁，来提示用户触发测量血压的指令。
用户在收到提示后，可以触发通过第一测量组件102测量血压的指令，例如，用户可以点击手表上的测量血压的按钮，以向处理器101发送通过第一测量组件102测量血压的 指令，或者，用户可以发出“开始测量血压的”语音，处理器101在接收到用户触发的通过第一测量组件102测量血压的指令后，可以通过第一测量组件102采集用户的第二血压值，并通过第二测量组件103采集与第二血压值相对应的第二PPG信号。
处理器101可以在获取了多个第二血压值与多组第二PPG信号后，根据多个第二血压值与多组第二PPG信号，对目标模型2进行更新。关于处理器101获取第二血压值与第二PPG信号的方式请参考前述相关描述，为了简洁，此处不再赘述。
在处理器101提示用户触发通过第一测量组件102测量血压的指令后，用户可以对手表进行设置，使得处理器101可以定时通过第一测量组件102采集用户的第二血压值，或者，用户也可以对手表进行设置，使得处理器101可以通过第一测量组件102持续采集用户的第二血压值。
例如，如果在对目标模型2进行更新后，处理器101依然会接收到通过第一测量组件102测量血压的指令，在这种情况下，处理器101可以将在接收到通过第一测量组件102测量血压的指令后，通过第一测量组件102采集的用户的血压值与通过更新后的目标模型2得到的用户的血压值进行比较，如果通过第一测量组件102采集的用户的血压值与通过更新后的目标模型2得到的用户的血压值比较接近，处理器101可以提示用户停止触发测量血压的指令，例如，处理器101可以通过语音提示、震动提示、弹窗提示用户停止触发测量血压的指令。
需要说明的是，处理器101也可以根据未更新目标模型2的时间确定是否更新目标模型2，例如，当处理器101检测到已经超过预设时长没有更新过目标模型2，则处理器101可以确定需要更新目标模型2。
例如，上述预设时长可以为1天，当处理器101检测到已经超过一天时间没有更新过目标模型2时，则处理器101可以确定需要更新目标模型2。
在本申请中，为了提高第二测量组件103采集到的用户的PPG信号的准确性，处理器101可以在第二测量组件103采集PPG信号期间提示用户将手腕位置保持静止，例如，处理器101可以通过语音提示、震动提示、弹窗提示用户将手腕位置保持静止。
基于本申请提供的测量血压的装置，由于目标模型2是基于用户自己的N组血压值(这N组血压值是通过第一测量组件102获得的，通过第一测量组件102获得的血压值的准确度比较高)、与该N组血压值一一对应的N组PPG信号进行模型训练后得到的，因此，后续通过目标模型2基于用户的PPG信号确定用户的血压值时，得到的血压值的测量结果会更加准确。
此外，通过将用于采集PPG信号的第二测量组件与第一测量组件集成在一起，使得能够更为便捷的得到用于生成目标模型2的N组血压值以及与该N组血压值一一对应的N组PPG信号。
本申请还提供了一种测量血压的方法，该方法应用于上述测量血压的装置，图7示出了方法700的示例性流程图。下面以处理器101中预先配置有目标模型1为例，对方法700进行介绍。
步骤701，处理器101检测用户是否触发了通过第一测量组件102测量血压的指令。
如果处理器101检测到用户触发的通过第一测量组件102测量血压的指令，则处理器101执行步骤702；如果处理器101尚未检测到用户触发的通过第一测量组件102测量血 压的指令，则处理器101执行步骤709。值得一提的是，如果处理器101检测到用户触发的通过第一测量组件102测量血压的指令，此处的测量血压的指令可以是用户在以下两种情况下触发的：
情况1：在对目标模型1更新的过程中，用户触发通过第一测量组件102测量血压的指令。
情况2：在得到目标模型2后，当需要对目标模型2进行更新时，用户触发通过第一测量组件102测量血压的指令。
步骤702，处理器101采集用户的一组血压值，并获取第一时长的PPG信号。
处理器101在检测到用户触发的通过第一测量组件102测量血压的指令时，通过第一测量组件102采集用户的一组血压值，在获取与该血压值对应的一组PPG信号时，处理器101可以先获取第一时长的PPG信号。
步骤703，处理器101确定第一时长的PPG信号属于的类别，并确定第一时长的PPG信号与历史PPG信号中属于第一时长的PPG信号对应的类别的多组PPG信号的中心之间的相似度。
在获取到第一时长的PPG信号后，处理器101可以确定第一时长的PPG信号属于的类别，并确定第一时长的PPG信号与历史PPG信号中属于第一时长的PPG信号对应的类别的多组PPG信号的中心之间的相似度，此处的历史PPG信号可以理解为：处理器101在获取第一时长的PPG信号前，已经获取到的与通过第一测量组件102获取的用户的血压值相对应的所有PPG信号。关于处理器101确定第一时长的PPG信号属于的类别与确定第一时长的PPG信号与历史PPG信号中属于该类别的多组PPG信号的中心之间的相似度的具体方法请参考前述相关描述，为了简洁，此处不再赘述。
步骤704，处理器101确定第一时长的PPG信号与历史PPG信号中属于第一时长的PPG信号对应的类别的多组PPG信号的中心之间的相似度是否大于预设的第五阈值。
如果第一时长的PPG信号与历史PPG信号中属于第一时长的PPG信号对应的类别的多组PPG信号的中心之间的相似度大于预设的第五阈值，则处理器101执行步骤705，或者，如果第一时长的PPG信号与历史PPG信号中属于第一时长的PPG信号对应的类别的多组PPG信号的中心之间的相似度小于或等于预设的第五阈值，则处理器101执行步骤707，此时，在步骤702中获取的第一时长的PPG信号为与步骤702中的血压值对应的一组PPG信号。
步骤705，处理器101确定第二时长。
如果处理器101确定第一时长的PPG信号与历史PPG信号中属于该类别的PPG信号的中心之间的相似度大于预设的第五阈值，则处理器101可以确定需要继续获取PPG信号，并且可以确定需要继续采集第二时长的PPG信号。关于确定是否需要继续获取PPG信号以及在需要继续获取PPG信号时，确定第二时长的具体方法请参考前述相关描述，为了简洁，此处不再赘述。
步骤706，处理器101获取第二时长的PPG信号。
在确定了需要继续采集第二时长的PPG信号后，处理器101可以从继续采集第二时长的PPG信号，此时，继续获取的该第二时长的PPG信号与在步骤702中获取的第一时长的PPG信号组成了与步骤702中的血压值对应的一组PPG信号。关于处理器101获取 上述第一时长的PPG信号与第二时长的PPG信号的具体方法请参考前述相关描述，为了简洁，此处不再赘述。
步骤707，处理器101确定是否更新当前模型。
在获取了用户的血压值以及与该血压值对应的一组PPG信号后，处理器101可以确定是对当前模型进行更新，例如，处理器101可以根据已经累计获取到的血压值、与血压值相对应的PPG信号，确定是否更新当前模型，例如，处理器101已经累计获取到了一定数量的血压值与PPG信号，则处理器101可以执行步骤708，否则，执行步骤701。
所谓当前模型，在执行步骤707之前，如果处理器101尚未对预先配置的目标模型1进行过更新，则此处的当前模型为目标模型1，或者，在执行步骤707之前，如果处理器101已经对目标模型1进行了更新，则此处的当前模型为目标模型2，或者，在执行步骤707之前，如果处理器101已经对目标模型2进行了更新，则此处的当前模型为更新后的目标模型2。
步骤708，处理器101根据采集到的血压值与PPG信号，更新当前模型。
处理器101可以根据采集到的多个血压值与多组PPG信号，更新当前模型。关于更新当前模型的具体方法请参考前述相关描述，为了简洁，此处不再赘述。
步骤709，处理器101通过第二测量组件103采集第一PPG信号。
步骤710，处理器101将第一PPG信号输入当前模型，得到第一血压值。
步骤711，处理器101确定第一PPG信号属于的类别，并确定第一PPG信号与历史PPG信号中属于该类别的多组PPG信号的中心之间的相似度以及历史PPG信号中属于该类别的PPG信号的组数。
在获取到第一PPG信号后，处理器101可以确定第一PPG信号属于的类别，并确定第一PPG信号与历史PPG信号中属于该类别的PPG信号的中心之间的相似度，此处的历史PPG信号可以理解为：处理器101在获取第一PPG信号前，已经获取到的与通过第一测量组件102获取的用户的血压值相对应的所有PPG信号。关于处理器101确定第一PPG信号属于的类别与确定第一PPG信号与历史PPG信号中属于该类别的PPG信号的中心之间的相似度的具体方法请参考前述相关描述，为了简洁，此处不再赘述。
步骤712，处理器101确定第一PPG信号与历史PPG信号中属于第一PPG信号对应的类别的多组PPG信号的中心之间的相似度是否小于或等于预设的第五阈值，且历史PPG信号中属于该类别的PPG信号的组数是否小于或等于预设的第六阈值。
如果第一PPG信号与历史PPG信号中属于第一PPG信号对应的类别的多组PPG信号的中心之间的相似度小于或等于预设的第五阈值，且历史PPG信号中属于该类别的PPG信号的组数小于或等于预设的第六阈值，则处理器101执行步骤713；否则，处理器101执行步骤701，此处的历史PPG信号可以理解为：处理器101在获取第一PPG信号前，已经获取到的所有PPG信号。
步骤713，处理器101提示用户触发测量血压的指令。
如果第一PPG信号与历史PPG信号中属于第一PPG信号对应的类别的多组PPG信号的中心之间的相似度小于或等于预设的第五阈值，且历史PPG信号中属于该类别的PPG信号的组数小于或等于预设的第六阈值，则代表需要对当前模型进行更新，在这种情况下处理器101可以提示用户触发测量血压的指令，在提示用户触发测量血压的指令后，处理器101 转而执行步骤701。关于处理器101提示用户触发测量血压的指令的具体方法请参考前述相关描述，为了简洁，此处不再赘述。
基于本申请提供的测量血压的方法，由于目标模型2是基于用户自己的N组血压值(这N组血压值是通过第一测量组件102获得的，通过第一测量组件102获得的血压值的准确度比较高)、与该N组血压值一一对应的N组PPG信号对目标模型1更新后得到的，因此，相比于目标模型1，后续通过目标模型2基于用户的PPG信号确定用户的血压值时，得到的血压值的测量结果会更加准确。
此外，通过将用于采集PPG信号的第二测量组件与第一测量组件集成在一起，使得能够更为便捷的得到用于对目标模型1进行更新的N组血压值以及与该N组血压值一一对应的N组PPG信号。
值得一提的是，在本申请中，用户在触发通过第一测量组件102测量血压的指令时所执行的操作与第一操作相对应。
本申请还提供了一种计算机存储介质，包括计算机指令，当计算机指令在测量血压的装置上运行时，使得测量血压的装置执行本申请提供的测量血压的方法。
本申请还提供了一种计算机程序产品，当所述计算机程序产品在计算机上运行时，使得计算机执行本申请提供的测量血压的方法。
上述实施例，可以全部或部分地通过软件、硬件、固件或其他任意组合来实现。当使用软件实现时，上述实施例可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令。在计算机上加载或执行所述计算机程序指令时，全部或部分地产生按照本申请实施例所述的流程或功能。所述计算机可以为通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集合的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质(例如，软盘、硬盘、磁带)、光介质(例如，DVD)、或者半导体介质。半导体介质可以是固态硬盘(solid state drive，SSD)。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请实施例的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请实施例所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点， 所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请实施例各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请实施例的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请实施例各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请实施例的具体实施方式，但本申请实施例的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请实施例揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请实施例的保护范围之内。因此，本申请实施例的保护范围应以所述权利要求的保护范围为准。

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  1. 一种测量血压的装置，其特征在于，所述测量血压装置包括处理器101、第一测量组件102与第二测量组件103，所述第一测量组件102包括充气部件1022、气囊1023、气压传感器1024，所述气囊1023分别与所述充气部件1022、所述气压传感器1024连接，所述第二测量组件103包括光源1031与PPG传感器1032；
    所述第一测量组件102，用于采集用户的血压值；
    所述第二测量组件103，用于采集所述用户的PPG信号；
    所述处理器101，用于控制所述第一测量组件102采集所述用户的N组血压值；控制所述第二测量组件103采集与所述N组血压值相对应的N组PPG信号；根据所述N组血压值和所述N组PPG信号生成目标模型，所述目标模型的输入为PPG信号，输出为血压值，N为大于或等于2的整数；
    所述处理器101，还用于在所述目标模型生成后，控制所述第二测量组件103采集用户的第一PPG信号；根据所述目标模型和所述第一PPG信号确定第一血压值。
  2. 根据权利要求1所述的测量血压的装置，其特征在于，所述处理器101还用于，在采集所述N组PPG信号中的第i组PPG信号时，
    控制所述第二测量组件103获取第一时长的PPG信号；
    确定所述第一时长的PPG信号属于的类别；
    确定所述第一时长的PPG信号与第一历史PPG信号中属于所述第一时长的PPG信号的类别的中心之间的相似度，其中，所述第一历史PPG信号包括在获取所述第i组PPG信号前，已经获取到的PPG信号；
    根据所述相似度，确定第二时长；
    控制所述第二测量组件103采集所述第二时长的PPG信号；
    将所述第一时长的PPG信号和所述第二时长的PPG信号合并为第i组PPG信号。
  3. 根据权利要求2所述的测量血压的装置，其特征在于，
    所述处理器101还用于，在采集所述N组PPG信号中的第1组-第M组PPG信号时，控制所述第二测量组件103获取第三时长的PPG信号，M为小于i的整数。
  4. 根据权利要求1至3中任一项所述的测量血压的装置，其特征在于，
    所述处理器101，还用于在确定更新所述目标模型的情况下，提示所述用户触发通过所述第一测量组件102和所述第二测量组件103测量血压的指令；
    响应于所述用户的第一操作，控制所述第一测量组件102采集第二血压值，控制所述第二测量组件103采集与所述第二血压值对应的第二PPG信号；
    根据所述第二血压值和所述第二PPG信号，更新所述目标模型。
  5. 根据权利要求1-4中任一项所述的测量血压的装置，其特征在于，
    所述处理器101，还用于确定所述第一PPG信号的类别；
    所述处理器101，还用于确定所述第一PPG信号与第二历史PPG信号中属于所述第一PPG信号的类别的PPG信号的中心之间的相似度，并根据所述相似度以及所述第二历史PPG信号中属于所述第一PPG信号的类别的PPG信号的组数，确定是否需要更新所述目标模型，其中，所述第二历史PPG信号包括所述N组PPG信号。
  6. 根据权利要求1-4中任一项所述的测量血压的装置，其特征在于，
    所述处理器101，还用于根据所述目标模型未更新的时长，确定是否需要更新所述目标模型。
  7. 根据权利要求1至6中任一项所述的测量血压的装置，其特征在于，
    所述充气部件1022，用于向所述气囊1023充气；
    所述气压传感器1024，用于采集所述气囊1023的多个气压值，所述多个气压值中的第一气压值与第二气压值为所述用户的血压值，所述第一气压值为所述气囊1023内的气压的振荡波到达最大值的时刻对应的气压值，所述第二气压值为所述振荡波到达a×所述最大值的时刻对应的气压值，a大于0且小于1。
  8. 根据权利要求1至7中任一项所述的测量血压的装置，其特征在于，开始向所述气囊1023充气的时刻与所述N组PPG信号中的第i组PPG信号的采集时刻之间的差值大于或等于预设的第一阈值，且小于或等于预设的第二阈值，所述开始向所述气囊1023充气的时刻在所述第i组PPG信号的采集时刻之后，或者，所述N组PPG信号中的第i组PPG信号的采集时刻与停止向所述气囊1023充气的时刻之间的差值大于或等于预设的第三阈值，且小于或等于预设的第四阈值，所述停止向所述气囊1023充气的时刻在所述第i组PPG信号的采集时刻之前。
  9. 一种测量血压的方法，其特征在于，所述方法应用于测量血压的装置，所述测量血压的装置包括第一测量组件102与第二测量组件103，所述第一测量组件102包括充气部件1022、气囊1023、气压传感器1024，所述气囊1023分别与所述充气部件1022、所述气压传感器1024连接，所述第二测量组件103包括光源1031与PPG传感器1032，所述方法包括：
    控制所述第一测量组件102采集用户的N组血压值；
    控制所述第二测量组件103采集与所述N组血压值相对应的N组PPG信号；
    根据所述N组血压值和所述N组PPG信号生成目标模型，其中，所述目标模型的输入为PPG信号，输出为血压值，N为大于或等于2的整数；
    在所述目标模型生成后，控制所述第二测量组件采集所述用户的第一PPG信号；
    根据所述目标模型和所述第一PPG信号确定第一血压值。
  10. 根据权利要求9所述的测量血压的方法，其特征在于，在采集所述N组PPG信号中的第i组PPG信号时，所述控制所述第二测量组件103采集与所述N组血压值相对应的N组PPG信号，包括：
    控制所述第二测量组件103获取第一时长的PPG信号；
    确定所述第一时长的PPG信号属于的类别；
    确定所述第一时长的PPG信号与第一历史PPG信号中属于所述第一时长的PPG信号的类别的中心之间的相似度，其中，所述第一历史PPG信号包括在获取所述第i组PPG信号前，已经获取到的PPG信号；
    根据所述相似度，确定第二时长；
    控制所述第二测量组件103采集所述第二时长的PPG信号；
    将所述第一时长的PPG信号和所述第二时长的PPG信号合并为第i组PPG信号。
  11. 根据权利要求10所述的测量血压的方法，其特征在于，在采集所述N组PPG信 号中的第1组-第M组PPG信号时，所述控制所述第二测量组件103采集与所述N组血压值相对应的N组PPG信号，包括：
    控制所述第二测量组件103获取第三时长的PPG信号，M为小于i的整数。
  12. 根据权利要求9至11中任一项所述的测量血压的方法，其特征在于，所述方法还包括：
    在确定更新所述目标模型的情况下，提示所述用户触发通过所述第一测量组件102和所述第二测量组件103测量血压的指令；
    响应于所述用户的第一操作，控制所述第一测量组件102采集第二血压值，控制所述第二测量组件103采集与所述第二血压值对应的第二PPG信号；
    根据所述第二血压值和所述第二PPG信号，更新所述目标模型。
  13. 根据权利要求9至12中任一项所述的测量血压的方法，其特征在于，所述方法还包括：
    确定所述第一PPG信号的类别；
    确定所述第一PPG信号与第二历史PPG信号中属于所述第一PPG信号的类别的PPG信号的中心之间的相似度，并根据所述相似度以及所述第二历史PPG信号中属于所述第一PPG信号的类别的PPG信号的组数，确定是否需要更新所述目标模型，
    其中，所述第二历史PPG信号包括所述N组PPG信号。
  14. 根据权利要求9至12中任一项所述的测量血压的方法，其特征在于，所述方法还包括：
    根据所述目标模型未更新的时长，确定是否需要更新所述目标模型。
  15. 根据权利要求9至14中任一项所述的测量血压的方法，其特征在于，所述控制所述第一测量组件102采集所述用户的N组血压值，包括：
    控制所述充气部件1022向所述气囊1023充气；
    控制所述气压传感器1024采集所述气囊1023的多个气压值，所述多个气压值中的第一气压值与第二气压值为所述用户的一组血压值，所述第一气压值为所述气囊1023内的气压的振荡波到达最大值的时刻对应的气压值，所述第二气压值为所述振荡波到达a×所述最大值的时刻对应的气压值，a大于0且小于1。
  16. 根据权利要求9至15中任一项所述的测量血压的方法，其特征在于，开始向所述气囊1023充气的时刻与所述N组PPG信号中的第i组PPG信号的采集时刻之间的差值大于或等于预设的第一阈值，且小于或等于预设的第二阈值，所述开始向所述气囊1023充气的时刻在所述第i组PPG信号的采集时刻之后，或者，所述N组PPG信号中的第i组PPG信号的采集时刻与停止向所述气囊1023充气的时刻之间的差值大于或等于预设的第三阈值，且小于或等于预设的第四阈值，所述停止向所述气囊1023充气的时刻在所述第i组PPG信号的采集时刻之前。
  17. 一种计算机存储介质，其特征在于，包括计算机指令，当所述计算机指令在测量血压的装置上运行时，使得所述测量血压的装置执行如权利要求9至16中任一项所述的测量血压的方法。
  18. 一种计算机程序产品，其特征在于，当所述计算机程序产品在计算机上运行时，使得所述计算机执行如权利要求9至16中任一项所述的测量血压的方法。
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