CN114224308A - Wrist belt pulse feeling device and pulse wave acquisition method - Google Patents
Wrist belt pulse feeling device and pulse wave acquisition method Download PDFInfo
- Publication number
- CN114224308A CN114224308A CN202111528564.9A CN202111528564A CN114224308A CN 114224308 A CN114224308 A CN 114224308A CN 202111528564 A CN202111528564 A CN 202111528564A CN 114224308 A CN114224308 A CN 114224308A
- Authority
- CN
- China
- Prior art keywords
- sensor
- wrist
- pulse
- motor
- pressure value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 210000000707 wrist Anatomy 0.000 title claims abstract description 114
- 238000000034 method Methods 0.000 title claims abstract description 48
- 208000024891 symptom Diseases 0.000 claims description 30
- 230000033001 locomotion Effects 0.000 claims description 28
- 238000003745 diagnosis Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 11
- 230000009467 reduction Effects 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims 1
- 230000004044 response Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000007667 floating Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000010009 beating Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
Images
Classifications
-
- 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
-
- 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
Abstract
The application discloses a wrist strap pulse feeling device and a pulse wave acquisition method. The wrist strap pulse feeling device comprises: comprises a binding band, a bottom support and a pulse feeling main body; wherein the strap is wound around the wrist of the user; the bottom support is fixed on the outer side of the bandage and used for supporting the pulse feeling main body; the pulse feeling main body comprises a motor, a control circuit board and a sensor, the control circuit board controls the motor to move, the motor drives the sensor to ascend or descend, and the sensor acquires pulse waves at the wrist. The motor drives the sensor to ascend or descend to adjust the pressure applied to the sensor, so that the automatic control of the pressure is realized, the pressure control accuracy is improved, and the pressure control response time is shortened.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a wrist strap pulse diagnosis device and a pulse wave acquisition method.
Background
In order to solve the problem of pulse feeling time consumption, a plurality of intelligent pulse feeling products appear on the market in succession. The intelligent pulse diagnosis products need to place the sensor at the wrist position during pulse diagnosis, simulate a traditional Chinese medicine pulse taking mode in the pulse diagnosis process, and apply certain pressure to the sensor so as to measure the pulse beating pressure value acquired by the sensor under the pressure. Since the traditional Chinese medicine needs to perform pulse feedback under a specific pressure, the pressure applied to the sensor needs to be continuously adjusted during pulse feeling.
The conventional intelligent pulse feeling product is adjusted by a manual knob mode or an air pressure mode. However, the manual knob method is not favorable for automatic control, and the air pressure method can be automatically controlled, but has long response time for air inflation and air deflation.
Disclosure of Invention
The embodiment of the application provides a wrist strap pulse feeling device and a pulse wave acquisition method.
In a first aspect, an embodiment of the present application provides a wrist strap pulse taking device, which includes a strap, a base support, and a pulse taking main body; wherein the strap is wound around the wrist of the user; the bottom support is fixed on the outer side of the bandage and used for supporting the pulse feeling main body; the pulse feeling main body comprises a motor, a control circuit board and a sensor, the control circuit board controls the motor to move, the motor drives the sensor to ascend or descend, and the sensor acquires pulse waves at the wrist.
In some embodiments, the control circuit board comprises an upper computer, a main controller, a motor motion control module and a data acquisition module, the upper computer sends a control command to the main controller, the main controller controls the motor to move through the motor motion control module, and the main controller acquires the pressure value of the sensor through the data acquisition module.
In some embodiments, the host computer communicates with the host controller via a universal serial bus.
In some embodiments, the motor is a micro-screw reduction motor.
In some embodiments, the pulse feeling main body further comprises a bottomless shell, and the motor, the control circuit board and the sensor are arranged inside the bottomless shell.
In some embodiments, the arrangement of the motor, the control circuit board and the sensor inside the bottomless housing includes a vertical arrangement or a horizontal arrangement.
In a second aspect, an embodiment of the present application provides a pulse wave acquisition method, including: controlling a motor of the wrist belt pulse feeling device to drive a sensor of the wrist belt pulse feeling device to descend; acquiring a current pressure value of the sensor at the wrist of the user; if the current pressure value reaches a first pressure interval, controlling the motor to stop moving; and acquiring a first pulse wave acquired by the sensor at the wrist after the movement is stopped.
In some embodiments, the method further comprises: continuously controlling the motor to drive the sensor to descend; acquiring a current pressure value of the sensor at the wrist; if the current pressure value reaches a second pressure interval, controlling the motor to stop moving, wherein the pressure value of the second pressure interval is larger than that of the first pressure interval; and acquiring a second pulse wave acquired by the sensor at the wrist after the movement is stopped.
In some embodiments, the method further comprises: continuously controlling the motor to drive the sensor to descend; acquiring a current pressure value of the sensor at the wrist; if the current pressure value reaches a third pressure interval, controlling the motor to stop moving, wherein the pressure value of the third pressure interval is larger than the pressure value of the second pressure interval; and acquiring a third pulse wave acquired by the sensor at the wrist after the movement is stopped.
In some embodiments, the method further comprises: analyzing at least one of the first pulse wave, the second pulse wave and the third pulse wave to obtain the symptom information of the user.
In some embodiments, analyzing at least one of the first pulse wave, the second pulse wave, and the third pulse wave to obtain symptom information of the user includes: extracting feature information of at least one of the first pulse wave, the second pulse wave and the third pulse wave, wherein the feature information includes at least one of: time domain characteristics, frequency domain characteristics, pulse rate characteristics; and inputting the characteristic information into a pre-trained symptom prediction model to obtain the symptom information of the user.
In a third aspect, an embodiment of the present application provides a pulse wave collecting device, including: the first control module is configured to control a motor of the wrist strap pulse diagnosis device to drive a sensor of the wrist strap pulse diagnosis device to descend; a first acquisition module configured to acquire a current pressure value of the sensor at a wrist of the user; the second control module is configured to control the motor to stop moving if the current pressure value reaches the first pressure interval; and the second acquisition module is configured to acquire the first pulse wave acquired by the sensor at the wrist after the stop motion.
In some embodiments, the apparatus further comprises: the third control module is configured to continuously control the motor to drive the sensor to descend; a third acquisition module configured to acquire a current pressure value of the sensor at the wrist; the fourth control module is configured to control the motor to stop moving if the current pressure value reaches a second pressure interval, wherein the pressure value of the second pressure interval is greater than that of the first pressure interval; and the fourth acquisition module is configured to acquire the second pulse wave acquired by the sensor at the wrist after the stop motion.
In some embodiments, the apparatus further comprises: the fifth control module is configured to continuously control the motor to drive the sensor to descend; a fifth obtaining module configured to obtain a current pressure value of the sensor at the wrist; the sixth control module is configured to control the motor to stop moving if the current pressure value reaches a third pressure interval, wherein the pressure value of the third pressure interval is greater than the pressure value of the second pressure interval; and the sixth acquisition module is configured to acquire a third pulse wave acquired by the sensor at the wrist after the stop motion.
In some embodiments, the apparatus further comprises: the analysis module is configured to analyze at least one of the first pulse wave, the second pulse wave and the third pulse wave to obtain symptom information of the user.
In some embodiments, the analysis module is further configured to: extracting feature information of at least one of the first pulse wave, the second pulse wave and the third pulse wave, wherein the feature information includes at least one of: time domain characteristics, frequency domain characteristics, pulse rate characteristics; and inputting the characteristic information into a pre-trained symptom prediction model to obtain the symptom information of the user.
In a fourth aspect, an embodiment of the present application provides a computer device, including: one or more processors; a storage device having one or more programs stored thereon; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation of the second aspect.
In a fifth aspect, the present application provides a computer-readable medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method as described in any implementation manner of the second aspect.
According to the pulse wave acquisition method provided by the embodiment of the application, the motor drives the sensor to ascend or descend so as to adjust the pressure applied to the sensor, the automatic control of the pressure is realized, the pressure control accuracy is improved, and the pressure control response time is shortened.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is a schematic view of the bevel structure of the wrist belt pulse feeling device;
FIG. 2 is a schematic view of the internal structure of the wrist band pulse feeling device;
FIG. 3 is a schematic diagram of the structure and transmission of the control circuit board;
fig. 4 is a flow chart of some embodiments of a pulse wave acquisition method according to the present application;
FIG. 5 is a flow chart of still further embodiments of pulse wave acquisition methods according to the present application;
FIG. 6 is a flow chart of further embodiments of pulse wave acquisition methods according to the present application;
FIG. 7 is a block diagram of a computer system suitable for use to implement the computer device of an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows a schematic diagram of the bevel structure of the wrist belt pulse feeling device. As shown in fig. 1, the wrist band pulse feeling device may include a band 1, a shoe 2 and a pulse feeling main body 3. Wherein the strap 1 can be wrapped around the wrist of the user. The bottom support 2 can be fixed on the outer side of the bandage 1 and is used for supporting the pulse feeling main body 3. The pulse feeling main body 3 can adjust the pressure applied to the wrist, and further collect the pulse wave under a specific pressure. Normally, the underwire 2 is detachable from the pulse feeling body 3.
Fig. 2 shows a schematic internal structure diagram of the wrist band pulse feeling device. As shown in fig. 2, the pulse feeling main body includes a motor 4, a control circuit board 5 and a sensor 6. The control circuit board 5 can control the motor 4 to move, and the moving motor 4 can drive the sensor 6 to ascend or descend, so that the pressure applied to the wrist by the sensor 6 is adjusted. If the motor 4 drives the sensor 6 to ascend, the pressure applied to the wrist by the sensor 6 is reduced; if the motor 4 drives the sensor 6 to descend, the pressure applied by the sensor 6 to the wrist is increased. The sensor 6 can acquire pulse waves at the wrist.
In some embodiments, the motor 4 may be a micro screw speed reduction motor to reduce the weight of the wrist strap pulse diagnosis device, so that the wrist strap pulse diagnosis device is more stable and portable when acquiring pulse waves.
In some embodiments, the pulse feeling main body may further include a bottomless casing, and the motor 4, the control circuit board 5 and the sensor 6 may be disposed inside the bottomless casing, so as to protect the motor 4, the control circuit board 5 and the sensor 6, and to make the wrist strap pulse feeling device more beautiful.
In some embodiments, the arrangement of the motor 4, the control circuit board 5 and the sensor 6 inside the bottomless housing may include a vertical arrangement or a horizontal arrangement. Wherein the sensor 6 is easily driven by the motor 4 in a vertical arrangement. The horizontal arrangement mode is suitable for carrying and is more attractive.
Fig. 3 shows the structure and transmission diagram of the control circuit board. As shown in fig. 3, the control circuit board may include an upper computer 7, a main controller 8, a motor motion control module 9, and a data acquisition module 10. Wherein, the upper computer 7 can send a control command to the main controller 8. The main controller 8 can control the motor movement through the motor movement control module 9. Meanwhile, the main controller 8 may obtain the pressure value of the sensor through the data acquisition module 10. The upper computer 7 and the main controller 8 may communicate with each other via a Universal Serial Bus (USB).
With further reference to fig. 4, a flow 400 of some embodiments of a pulse wave acquisition method according to the present application is shown. The pulse wave acquisition method comprises the following steps:
In this embodiment, the control circuit board can control the motor of the wrist strap pulse diagnosis device to drive the sensor of the wrist strap pulse diagnosis device to descend.
Generally, the motor may be reset prior to performing the pulse wave acquisition method. At this time, the current pressure value of the sensor at the wrist of the user is 0. Subsequently, the motor can be controlled to drive the sensor to descend. At this time, the current pressure value of the sensor at the wrist of the user gradually increases as the sensor falls.
Wherein, the wrist strap pulse feeling device can comprise a bandage, a bottom support and a pulse feeling main body. The pulse feeling main body can comprise a motor, a control circuit board and a sensor. The control circuit board can control the motor to move. The moving motor can drive the sensor to ascend or descend, so that the pressure applied to the wrist by the sensor is adjusted. Generally, if the motor drives the sensor to rise, the pressure applied by the sensor to the wrist is reduced; if the motor drives the sensor to descend, the pressure applied to the wrist by the sensor is increased. Taking vertical arrangement as an example, the control circuit board can control the motor to ascend or descend. When the motor rises, the sensor can be driven to rise simultaneously, so that the pressure applied to the wrist by the sensor is reduced; when the motor descends, the sensor can be driven to descend simultaneously, so that the pressure applied to the wrist by the sensor is increased.
At step 402, a current pressure value of the sensor at the wrist of the user is obtained.
In this embodiment, the sensor can collect the current pressure value applied to the wrist by the sensor during descending process, and upload the current pressure value to the control circuit board.
Generally, the sensor can acquire the current pressure value applied to the wrist in real time and upload the current pressure value to the control circuit board in real time.
And step 403, if the current pressure value reaches the first pressure interval, controlling the motor to stop moving.
In this embodiment, the control circuit board may determine whether the current pressure value reaches the first pressure interval. If the current pressure value reaches a first pressure interval, the control circuit board can control the motor to stop moving. At the same time, the sensor also stops descending. At this time, the current pressure value applied to the wrist by the sensor is kept in the first pressure interval and does not change any more. If the current pressure value does not reach the first pressure interval, the control circuit board can continue to control the motor to drive the sensor to descend. At this time, the current pressure value of the sensor at the wrist of the user gradually increases until the first pressure interval is reached.
It should be noted that, if the current pressure value exceeds the first pressure interval, the control circuit board may also control the motor to drive the sensor to rise. At this time, the current pressure value of the sensor at the wrist of the user is gradually decreased until the first pressure interval is reached.
And step 404, acquiring a first pulse wave acquired by the sensor at the wrist after the movement is stopped.
In this embodiment, the sensor can gather the first pulse wave in wrist department after this stop motion to upload to control circuit board. Wherein the first pulse wave is the pulse wave in the first pressure interval.
According to the pulse wave acquisition method provided by the embodiment of the application, the motor drives the sensor to ascend or descend so as to adjust the pressure applied to the sensor, the automatic control of the pressure is realized, the pressure control accuracy is improved, and the pressure control response time is shortened.
With further reference to fig. 5, a flow 500 of still further embodiments of pulse wave acquisition methods according to the present application is shown. The pulse wave acquisition method comprises the following steps:
And 503, if the current pressure value reaches the first pressure interval, controlling the motor to stop moving.
And step 504, acquiring a first pulse wave acquired by the sensor at the wrist after the movement is stopped.
In the present embodiment, the specific operations of steps 501-504 are described in detail in step 401-404 in the embodiment shown in fig. 4, and are not described herein again.
And 505, continuing to control the motor to drive the sensor to descend.
In this embodiment, the control circuit board can continue to control the motor to drive the sensor to descend. At this time, the current pressure value of the sensor at the wrist of the user gradually increases as the sensor falls.
At step 506, the current pressure value of the sensor at the wrist is obtained.
In this embodiment, the sensor can collect the current pressure value applied to the wrist by the sensor during descending process, and upload the current pressure value to the control circuit board.
Generally, the sensor can acquire the current pressure value applied to the wrist in real time and upload the current pressure value to the control circuit board in real time.
And step 507, controlling the motor to stop moving if the current pressure value reaches a second pressure interval.
In this embodiment, the control circuit board may determine whether the current pressure value reaches the second pressure interval. If the current pressure value reaches the second pressure interval, the control circuit board can control the motor to stop moving. At the same time, the sensor also stops descending. At this time, the current pressure value applied to the wrist by the sensor is kept in the second pressure interval and does not change. If the current pressure value does not reach the second pressure interval, the control circuit board can continue to control the motor to drive the sensor to descend. At this time, the current pressure value of the sensor at the wrist of the user gradually increases until the second pressure interval is reached. Wherein the pressure value of the second pressure interval is greater than the pressure value of the first pressure interval.
It should be noted that, if the current pressure value exceeds the second pressure interval, the control circuit board may also control the motor to drive the sensor to rise. At this point, the current pressure value of the sensor at the user's wrist gradually decreases until a second pressure interval is reached.
And step 508, acquiring a second pulse wave acquired by the sensor at the wrist after the movement is stopped.
In this embodiment, the sensor can collect the second pulse wave at the wrist after stopping the motion at this time, and upload to the control circuit board. Wherein the second pulse wave is the pulse wave in the second pressure interval.
And 509, continuing to control the motor to drive the sensor to descend.
In this embodiment, the control circuit board can continue to control the motor to drive the sensor to descend. At this time, the current pressure value of the sensor at the wrist of the user gradually increases as the sensor falls.
At step 510, the current pressure value of the sensor at the wrist is obtained.
In this embodiment, the sensor can collect the current pressure value applied to the wrist by the sensor during descending process, and upload the current pressure value to the control circuit board.
Generally, the sensor can acquire the current pressure value applied to the wrist in real time and upload the current pressure value to the control circuit board in real time.
And 511, controlling the motor to stop moving if the current pressure value reaches a third pressure interval.
In this embodiment, the control circuit board may determine whether the current pressure value reaches the third pressure interval. If the current pressure value reaches a third pressure interval, the control circuit board can control the motor to stop moving. At the same time, the sensor also stops descending. At this time, the current pressure value applied to the wrist by the sensor is kept in the third pressure interval and does not change. If the current pressure value does not reach the third pressure interval, the control circuit board can continue to control the motor to drive the sensor to descend. At this time, the current pressure value of the sensor at the wrist of the user gradually increases until a third pressure interval is reached. Wherein the pressure value of the third pressure interval is greater than the pressure value of the second pressure interval.
It should be noted that, if the current pressure value exceeds the third pressure interval, the control circuit board may also control the motor to drive the sensor to rise. At this point, the current pressure value of the sensor at the user's wrist gradually decreases until a third pressure interval is reached.
And step 512, acquiring a third pulse wave acquired by the sensor at the wrist after the movement is stopped.
In this embodiment, the sensor may collect the third pulse wave at the wrist after stopping the movement at this time, and upload the third pulse wave to the control circuit board. Wherein the third pulse wave is the pulse wave in the third pressure interval.
In practice, TCM needs to perform pulse feedback under different pressures, floating, middle and sinking. "float" may correspond to a first pressure interval. "middle" may correspond to the second pressure interval. "sink" may correspond to a third pressure interval. At this time, the first, second and third pulse waves are "floating", "middle" and "deep" pulse waves, respectively.
As can be seen from fig. 5, compared with the embodiment corresponding to fig. 4, the flow 500 of the pulse wave acquiring method in the present embodiment adds the acquiring steps of the second pulse wave and the third pulse wave. Therefore, the scheme described by the embodiment can be used for acquiring the pulse waves under different pressures of floating, middle and sinking, the pulse wave acquisition is more flexible, and the method is more suitable for being applied to actual scenes.
With further reference to fig. 6, a flow 600 is shown which is a further embodiment of a pulse wave acquisition method according to the present application. The pulse wave acquisition method comprises the following steps:
At step 602, a current pressure value of the sensor at the wrist of the user is obtained.
And step 606, acquiring the current pressure value of the sensor at the wrist.
And step 607, controlling the motor to stop moving if the current pressure value reaches the second pressure interval.
And 608, acquiring a second pulse wave acquired by the sensor at the wrist after the movement is stopped.
And step 609, continuing to control the motor to drive the sensor to descend.
At step 610, the current pressure value of the sensor at the wrist is obtained.
And 611, controlling the motor to stop moving if the current pressure value reaches a third pressure interval.
And step 612, acquiring a third pulse wave acquired by the sensor at the wrist after the movement is stopped.
In the present embodiment, the specific operations of steps 601-612 have been described in detail in steps 501-512 in the embodiment shown in fig. 5, and are not described herein again.
In this embodiment, the circuit control board may analyze at least one of the first pulse wave, the second pulse wave, and the third pulse wave to obtain the symptom information of the user.
Generally, different pulse wave waveforms correspond to different symptom information. Therefore, corresponding symptom information can be obtained according to the waveform of at least one of the first pulse wave, the second pulse wave and the third pulse wave. In practical application, the first pulse wave, the second pulse wave and the third pulse wave can be analyzed respectively, and the three analysis results are integrated to obtain the symptom information of the user.
In some embodiments, the circuit control board may analyze the pulse wave by:
first, feature information of at least one of the first pulse wave, the second pulse wave, and the third pulse wave is extracted. The characteristic information may be used to characterize the characteristics of the pulse wave, including but not limited to: time domain features, frequency domain features, pulse rate features, and the like.
Then, the characteristic information is input to a symptom prediction model trained in advance to obtain the symptom information of the user. And the symptom information is predicted by using the symptom prediction model, so that the prediction efficiency and the prediction effect are improved.
In general, the symptom prediction model may be obtained by supervised training using a machine learning method and a training sample, and may predict corresponding symptom information based on feature information of a pulse wave.
The symptom prediction model can be obtained by training through the following steps:
first, a large number of training samples are obtained.
The training sample can comprise characteristic information of sample pulse waves and symptom labels. After the sample pulse wave is obtained, time domain analysis (such as morphological analysis) can be performed on the sample pulse wave, feature quantities such as a pulse rate and the like can be calculated, frequency domain analysis can be performed, feature quantities can be extracted from multiple dimensions, and the like. Based on the big data, the sample pulse wave is labeled with the corresponding symptom.
Then, the characteristic information of the sample pulse wave is used as input, the symptom label of the sample pulse wave is used as output, and a symptom prediction model is obtained through training.
Typically, before training, the various parameters of the model may be initialized with some different small random number. The small random number is used for ensuring that the model does not enter a saturation state due to overlarge weight value, so that training fails, and the difference is used for ensuring that the model can be normally learned. Parameters of the model can be continuously adjusted and cut in the training process, and the model can be iterated for a plurality of rounds until convergence, so that the symptom prediction model for predicting symptom information can be obtained.
As can be seen from fig. 6, compared with the embodiment corresponding to fig. 5, the flow 600 of the pulse wave collecting method in the present embodiment adds a pulse wave analyzing step. Therefore, the scheme described in the embodiment carries out symptom prediction based on pulse waves under different pressures, so that the prediction accuracy is improved.
Referring now to FIG. 7, shown is a block diagram of a computer system 700 suitable for use in implementing the computer devices of embodiments of the present application. The computer device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 7, the computer system 700 includes a Central Processing Unit (CPU)701, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program, when executed by a Central Processing Unit (CPU)701, performs the above-described functions defined in the method of the present application.
It should be noted that the computer readable medium described herein can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or electronic device. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present application may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a first control module, a first acquisition module, a second control module, and a second acquisition module. The names of these modules do not in this case constitute a definition of the module itself, for example, the first control module may also be described as "a module that controls the motor of the wrist strap pulse taking device to move the sensor of the wrist strap pulse taking device downward".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the computer device described in the above embodiments; or may exist separately and not be incorporated into the computer device. The computer readable medium carries one or more programs which, when executed by the computing device, cause the computing device to: controlling a motor of the wrist belt pulse feeling device to drive a sensor of the wrist belt pulse feeling device to descend; acquiring a current pressure value of the sensor at the wrist of the user; if the current pressure value reaches a first pressure interval, controlling the motor to stop moving; and acquiring a first pulse wave acquired by the sensor at the wrist after the movement is stopped.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (13)
1. A wrist belt pulse feeling device comprises a binding belt, a bottom support and a pulse feeling main body; wherein the content of the first and second substances,
the strap is wound on the wrist of the user;
the bottom support is fixed on the outer side of the bandage and used for supporting the pulse feeling main body;
the pulse feeling main body comprises a motor, a control circuit board and a sensor, the control circuit board controls the motor to move, the motor drives the sensor to ascend or descend, and the sensor acquires pulse waves at the wrist.
2. The wrist strap pulse feeling device according to claim 1, wherein the control circuit board comprises an upper computer, a main controller, a motor motion control module and a data acquisition module, the upper computer sends a control command to the main controller, the main controller controls the motor motion through the motor motion control module, and the main controller acquires the pressure value of the sensor through the data acquisition module.
3. The wrist band pulse feeling device of claim 2, wherein the upper computer and the main controller communicate through a universal serial bus.
4. The wrist band pulse feeling device of claim 1, wherein the motor is a miniature screw reduction motor.
5. The wrist band pulse feeling device of claim 1, wherein the pulse feeling body further comprises a bottomless housing, the motor, the control circuit board and the sensor being disposed inside the bottomless housing.
6. The wrist band pulse feeling device of claim 5, wherein the arrangement of the motor, the control circuit board and the sensor inside the bottomless housing comprises a vertical arrangement or a horizontal arrangement.
7. A pulse wave acquisition method comprising:
controlling a motor of the wrist belt pulse diagnosis device to drive a sensor of the wrist belt pulse diagnosis device to descend;
acquiring a current pressure value of the sensor at a wrist of a user;
if the current pressure value reaches a first pressure interval, controlling the motor to stop moving;
and acquiring a first pulse wave acquired by the sensor at the wrist after the stopping movement.
8. The method of claim 7, wherein the method further comprises:
continuously controlling the motor to drive the sensor to descend;
acquiring a current pressure value of the sensor at the wrist;
if the current pressure value reaches a second pressure interval, controlling the motor to stop moving, wherein the pressure value of the second pressure interval is larger than that of the first pressure interval;
and acquiring a second pulse wave acquired by the sensor at the wrist after the stopping movement.
9. The method of claim 8, wherein the method further comprises:
continuously controlling the motor to drive the sensor to descend;
acquiring a current pressure value of the sensor at the wrist;
if the current pressure value reaches a third pressure interval, controlling the motor to stop moving, wherein the pressure value of the third pressure interval is greater than the pressure value of the second pressure interval;
and acquiring a third pulse wave acquired by the sensor at the wrist after the stopping movement.
10. The method of claim 9, wherein the method further comprises:
analyzing at least one of the first pulse wave, the second pulse wave and the third pulse wave to obtain the symptom information of the user.
11. The method of claim 10, wherein the analyzing at least one of the first, second, and third pulse waves for symptom information of the user comprises:
extracting feature information of at least one of the first, second, and third pulse waves, wherein the feature information includes at least one of: time domain characteristics, frequency domain characteristics, pulse rate characteristics;
and inputting the characteristic information into a pre-trained symptom prediction model to obtain the symptom information of the user.
12. A computer device, comprising:
one or more processors;
a storage device on which one or more programs are stored;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 7-11.
13. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 7-11.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111528564.9A CN114224308A (en) | 2021-12-14 | 2021-12-14 | Wrist belt pulse feeling device and pulse wave acquisition method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111528564.9A CN114224308A (en) | 2021-12-14 | 2021-12-14 | Wrist belt pulse feeling device and pulse wave acquisition method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114224308A true CN114224308A (en) | 2022-03-25 |
Family
ID=80755919
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111528564.9A Pending CN114224308A (en) | 2021-12-14 | 2021-12-14 | Wrist belt pulse feeling device and pulse wave acquisition method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114224308A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102018501A (en) * | 2009-09-21 | 2011-04-20 | 上海道生医疗科技有限公司 | Pulse diagnosis instrument |
| CN105249941A (en) * | 2015-11-23 | 2016-01-20 | 北京航空航天大学 | Pulse signal collection device and method imitating pulse diagnosis techniques of traditional Chinese medicine |
| CN106108876A (en) * | 2016-07-29 | 2016-11-16 | 济南舜风科技有限公司 | Electronic diagnosis of pulsation wrist strap based on Pulse pressure sensor array |
| CN206867218U (en) * | 2016-11-08 | 2018-01-12 | 新绎健康科技有限公司 | A kind of device of pulse-tracing collection |
| CN108814564A (en) * | 2018-05-30 | 2018-11-16 | 广东工业大学 | A kind of intelligence pulse diagnosing device |
| CN108836281A (en) * | 2018-06-28 | 2018-11-20 | 中国科学院微电子研究所 | System for pulse characteristics parameter acquisition |
| CN108937880A (en) * | 2018-08-23 | 2018-12-07 | 上海掌门科技有限公司 | Wearable device and pulse detection method for pulse detection |
| CN109864719A (en) * | 2017-12-05 | 2019-06-11 | 深圳市前海安测信息技术有限公司 | Chinese medicine pulse testing and analysis system and method |
| CN110037666A (en) * | 2018-01-16 | 2019-07-23 | 深圳市前海安测信息技术有限公司 | Traditional Chinese pulse-diagnosis instrument positioning system and method |
| CN209172286U (en) * | 2018-07-19 | 2019-07-30 | 上海泰怡健康科技有限公司 | A kind of intelligence is felt the pulse bracelet |
| CN112754438A (en) * | 2021-01-11 | 2021-05-07 | 中科院长春应化所黄埔先进材料研究院 | Wearable device and pulse information acquisition method |
-
2021
- 2021-12-14 CN CN202111528564.9A patent/CN114224308A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102018501A (en) * | 2009-09-21 | 2011-04-20 | 上海道生医疗科技有限公司 | Pulse diagnosis instrument |
| CN105249941A (en) * | 2015-11-23 | 2016-01-20 | 北京航空航天大学 | Pulse signal collection device and method imitating pulse diagnosis techniques of traditional Chinese medicine |
| CN106108876A (en) * | 2016-07-29 | 2016-11-16 | 济南舜风科技有限公司 | Electronic diagnosis of pulsation wrist strap based on Pulse pressure sensor array |
| CN206867218U (en) * | 2016-11-08 | 2018-01-12 | 新绎健康科技有限公司 | A kind of device of pulse-tracing collection |
| CN109864719A (en) * | 2017-12-05 | 2019-06-11 | 深圳市前海安测信息技术有限公司 | Chinese medicine pulse testing and analysis system and method |
| CN110037666A (en) * | 2018-01-16 | 2019-07-23 | 深圳市前海安测信息技术有限公司 | Traditional Chinese pulse-diagnosis instrument positioning system and method |
| CN108814564A (en) * | 2018-05-30 | 2018-11-16 | 广东工业大学 | A kind of intelligence pulse diagnosing device |
| CN108836281A (en) * | 2018-06-28 | 2018-11-20 | 中国科学院微电子研究所 | System for pulse characteristics parameter acquisition |
| CN209172286U (en) * | 2018-07-19 | 2019-07-30 | 上海泰怡健康科技有限公司 | A kind of intelligence is felt the pulse bracelet |
| CN108937880A (en) * | 2018-08-23 | 2018-12-07 | 上海掌门科技有限公司 | Wearable device and pulse detection method for pulse detection |
| CN112754438A (en) * | 2021-01-11 | 2021-05-07 | 中科院长春应化所黄埔先进材料研究院 | Wearable device and pulse information acquisition method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11669746B2 (en) | System and method for active machine learning | |
| CN110192248A (en) | Voice input processing method and electronic equipment for supporting this method | |
| CN105748057B (en) | Information display method and electronic device supporting the same | |
| US10796700B2 (en) | Artificial intelligence-based cross-language speech transcription method and apparatus, device and readable medium using Fbank40 acoustic feature format | |
| CN108737643A (en) | It obtains the method for biometric information and supports the electronic equipment of this method | |
| CN108121490A (en) | For handling electronic device, method and the server of multi-mode input | |
| CN108023934A (en) | Electronic device and its control method | |
| US10643033B2 (en) | Method and apparatus for customizing word segmentation model based on artificial intelligence, device and medium | |
| CN105867528A (en) | Method and apparatus for obtaining biometric information | |
| CN109685077A (en) | A kind of breast lump image-recognizing method and device | |
| EP3425630A1 (en) | Electronic device-awakening method and apparatus, device and computer-readable storage medium | |
| CN108735208B (en) | Electronic device for providing voice recognition service and method thereof | |
| KR102356889B1 (en) | Method for performing voice recognition and electronic device using the same | |
| CN109272994A (en) | Speech data processing method and the electronic device for supporting the speech data processing method | |
| WO2022147592A1 (en) | Predicting brain data using machine learning models | |
| Huu et al. | Proposing a recognition system of gestures using MobilenetV2 combining single shot detector network for smart-home applications | |
| CN113742082A (en) | Application resource allocation method and device, computer readable medium and terminal | |
| CN112650885A (en) | Video classification method, device, equipment and medium | |
| CN113827240B (en) | Emotion classification method, training device and training equipment for emotion classification model | |
| CN112613425B (en) | Target identification system for small sample underwater image | |
| CN114224308A (en) | Wrist belt pulse feeling device and pulse wave acquisition method | |
| CN113112321A (en) | Intelligent energy body method, device, electronic equipment and storage medium | |
| US10929767B2 (en) | Method for complex events detection using hidden markov models | |
| CN106611595A (en) | Electronic device and method for transforming text to speech | |
| CN107135402A (en) | A kind of method and device for recognizing TV station's icon |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |