CN110755055A - Method and equipment for determining waveform evaluation information of pulse waveform - Google Patents
Method and equipment for determining waveform evaluation information of pulse waveform Download PDFInfo
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Abstract
An object of the present application is to provide a method and apparatus for determining waveform evaluation information of a pulse waveform, wherein the method includes: acquiring a target pulse waveform; performing fast Fourier transform on the target pulse waveform to obtain frequency spectrum data corresponding to the target pulse waveform; and determining waveform evaluation information of the target pulse waveform based on the spectral data. The method and the device improve the operation efficiency of a user, and can provide reference for subsequent waveform analysis.
Description
Technical Field
The present application relates to the field of communications, and more particularly, to a technique for determining waveform evaluation information of a pulse waveform.
Background
With the development of electronic technology, the acquisition, detection and analysis of pulse waves are widely applied. In the multi-pulse wave acquired by multiple times or acquired by a multi-point sensor, the waveform quality is likely to be different, for example, the waveform may have distortion or be too flat and the like, and the quality is not good. The poor quality of the pulse waveform will affect the accuracy of the subsequent analysis process.
Disclosure of Invention
It is an object of the present application to provide a method and apparatus for determining waveform evaluation information of a pulse waveform.
According to one aspect of the present application, a method for determining waveform evaluation information of a pulse waveform is provided. The method comprises the following steps:
acquiring a target pulse waveform;
performing fast Fourier transform on the target pulse waveform to obtain frequency spectrum data corresponding to the target pulse waveform; and the number of the first and second groups,
waveform evaluation information of the target pulse waveform is determined based on the spectral data.
According to another aspect of the present application, there is provided an apparatus for determining waveform evaluation information of a pulse waveform. The device includes:
a first module for obtaining a target pulse waveform;
the second module is used for performing fast Fourier transform on the target pulse waveform to obtain frequency spectrum data corresponding to the target pulse waveform; and the number of the first and second groups,
a third module for determining waveform evaluation information of the target pulse waveform based on the spectral data.
According to one aspect of the present application, there is provided an apparatus for determining waveform evaluation information of a pulse waveform, wherein the apparatus includes:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the operations of the above-described method.
According to another aspect of the present application, there is provided a computer-readable medium storing instructions that, when executed by a computer, cause the computer to perform the operations of the above-described method.
Compared with the prior art, the method and the device have the advantages that the corresponding waveform evaluation information is obtained by analyzing the frequency spectrum data of the target pulse waveform, and the waveform evaluation information can be used for representing the waveform quality of the target pulse waveform so as to determine whether the waveform is available and whether the waveform needs to be collected again in time, so that the operation efficiency of a user is improved, and reference can be provided for subsequent waveform analysis.
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 shows an information determining apparatus comprising a pulse acquisition device and a pulse acquisition apparatus in communication therewith;
fig. 2 shows a scenario for acquiring a pulse wave by means of a pulse acquisition device;
FIG. 3 illustrates a flow of a method for determining waveform evaluation information for a pulse waveform;
FIG. 4a shows a set of pulse waveform data;
FIG. 4b shows a set of pulse spectrum data;
fig. 5 shows functional modules of an apparatus for determining waveform evaluation information of a pulse waveform;
FIG. 6 illustrates functional modules of an exemplary system that may be used in various embodiments of the present application.
The same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
The present application is described in further detail below with reference to the attached figures.
In a typical configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (e.g., Central Processing Units (CPUs)), input/output interfaces, network interfaces, and memory.
The Memory may include volatile Memory in a computer readable medium, Random Access Memory (RAM), and/or nonvolatile Memory such as Read Only Memory (ROM) or Flash Memory. Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, Phase-Change Memory (PCM), Programmable Random Access Memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read-Only Memory (ROM), Electrically erasable Programmable Read-Only Memory (EEPROM), Flash Memory (Flash Memory) or other Memory technology, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Disc (Digital Versatile Disc, DVD) or other optical storage, magnetic tape or other magnetic storage media, magnetic tape or other non-magnetic storage devices, may be used to store information that may be accessed by the computing device.
The device referred to in this application includes, but is not limited to, a user device, a network device, or a device formed by integrating a user device and a network device through a network. The user equipment includes, but is not limited to, any mobile electronic product, such as a smart phone, a tablet computer, etc., capable of performing human-computer interaction with a user (e.g., human-computer interaction through a touch panel), and the mobile electronic product may employ any operating system, such as an Android operating system, an iOS operating system, etc. The network Device includes an electronic Device capable of automatically performing numerical calculation and information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded Device, and the like. The network device includes but is not limited to a computer, a network host, a single network server, a plurality of network server sets or a cloud of a plurality of servers; here, the Cloud is composed of a large number of computers or web servers based on Cloud Computing (Cloud Computing), which is a kind of distributed Computing, one virtual supercomputer consisting of a collection of loosely coupled computers. Including, but not limited to, the internet, a wide area Network, a metropolitan area Network, a local area Network, a VPN Network, a wireless Ad Hoc Network (Ad Hoc Network), etc. Preferably, the device may also be a program running on the user device, the network device, or a device formed by integrating the user device and the network device, the touch terminal, or the network device and the touch terminal through a network.
Of course, those skilled in the art will appreciate that the foregoing is by way of example only, and that other existing or future devices, which may be suitable for use in the present application, are also encompassed within the scope of the present application and are hereby incorporated by reference.
In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
The present application first provides an information determination apparatus for determining waveform evaluation information of a pulse waveform. Referring to fig. 1, the information determining apparatus includes a pulse acquisition device (which in some embodiments is a computing device, such as a personal computer, a user device such as a portable mobile terminal, etc.), and a pulse acquisition apparatus in communication with the pulse acquisition device. The pulse acquisition device is used for acquiring pulse waves of a user, such as one radial pulse wave of the user or two radial pulse waves of the user. Referring to fig. 2, taking the example of the pulse collection device collecting the pulse wave of the right hand, the pulse collection device is tightly attached to the radial portion of the wrist of the user to collect the pulse information. Wherein, the pulse acquisition device comprises a pressure sensor in some embodiments and acquires pulse information based on the pressure sensor; the pressure sensor may be a single-point sensor, a multi-point sensor, a matrix sensor, a flexible sensor, etc., and is not limited thereto. On the other hand, the pulse wave collecting device is not limited to collecting radial pulse waves, and may be used to collect pulse waves at other sites.
An embodiment of the present application is described in detail below based on the above-described information determination apparatus.
According to one aspect of the present application, a method for determining waveform evaluation information of a pulse waveform is provided. Referring to fig. 3, the method includes step S100, step S200, and step S300. In step S100, the information determination apparatus obtains a target pulse waveform; in step S200, the information determination apparatus performs fast fourier transform on the target pulse waveform to obtain spectrum data corresponding to the target pulse waveform; in step S300, the information determination device determines waveform evaluation information of the target pulse waveform based on the spectrum data.
Specifically, in step S100, the information determination apparatus acquires a target pulse waveform, for example, one pulse waveform of the user is acquired as the target pulse waveform by the pulse acquisition apparatus, or several pulse waveforms of the user are acquired, wherein the several pulse waveforms include the target pulse waveform to be analyzed. Wherein in the case of acquiring multiple pulse waveforms, in some embodiments, the target pulse waveform is not a specific waveform specified; for example, when the plurality of pulse waveforms are sequentially analyzed, the currently analyzed pulse waveform is regarded as the target pulse waveform, and when the analysis of the current pulse waveform is completed and the next pulse waveform is analyzed, the next pulse waveform is regarded as the target pulse waveform. It should be understood by those skilled in the art that the one or more pulse waveforms are not limited to being obtained by real-time acquisition, and may also be obtained by acquisition, for example, the information determining apparatus reads the corresponding pulse waveforms from a local storage location or other accessible storage location (e.g., a cloud server). Fig. 4a shows 5 segments of pulse waveforms obtained by the information determining apparatus in one embodiment, each segment optionally including pulse numbers of different periods, wherein the larger the amplitude of the waveform, the larger the corresponding pulse vibration amplitude.
In step S200, the information determination apparatus performs fast fourier transform on the target pulse waveform to obtain spectrum data corresponding to the target pulse waveform. Among them, Fast Fourier Transform (FFT) is a generic term for an efficient and fast calculation method using Discrete Fourier Transform (DFT) of computer computation. Fast methods for calculating the discrete fourier transform include time-decimated FFT algorithms and frequency-decimated FFT algorithms. The former is to divide the time domain signal sequence into even and odd lines, and the latter is to divide the frequency domain signal sequence into even and odd lines. They all rely on two features: firstly, the periodicity is obtained; second is symmetry. Therefore, the calculation of the discrete Fourier transform can be divided into a plurality of steps, and the calculation efficiency is greatly improved. The obvious advantage of small calculated amount enables the FFT algorithm to be widely applied in the technical field of signal processing, and the real-time processing of signals can be realized by combining high-speed hardware; therefore, with the help of the FFT algorithm, the method and the device have better real-time performance, and can provide waveform evaluation information of the target pulse waveform for the user in time so as to facilitate the user to evaluate the pulse waveform. Fig. 4b shows the frequency domain waveform obtained by fast fourier transforming each waveform in fig. 4a, which represents the signal amount of the pulse wave at different frequencies.
In step S300, the information determination device determines the waveform evaluation information of the target pulse waveform based on the spectrum data, for example, the waveform evaluation information of each pulse waveform is determined based on the frequency domain waveform.
In some embodiments, in step S100, the information determining device performs a pulse acquisition operation through the pulse acquisition device to acquire a target pulse waveform, for example, the system acquires corresponding waveform evaluation information in real time when the pulse sensor based on the pressure sensor acquires a pulse waveform, so that the user can evaluate the waveform quality based on the waveform evaluation information (for example, timely reacquire the pulse waveform when the waveform quality is not high), thereby improving the waveform acquisition efficiency of the user. In some cases, the system may also provide corresponding recommendations (e.g., re-acquisition recommendations) based on the waveform evaluation information. In order to reduce the influence of measurement errors on the analysis result, the time duration of each acquired waveform cannot be too short (for example, it is sometimes recommended that the acquisition time of each pulse waveform is not shorter than 10s), and in some embodiments, the pulse acquisition operation is performed by the pulse acquisition device based on a preset acquisition time duration (for example, not shorter than 10 s). For example, the system automatically acquires pulse waves meeting the time length requirement based on the acquisition time length; or the system provides a corresponding prompt (e.g., reacquisition) when the user is collecting the pulse waves on their own, but for too short a duration of the collection.
In some embodiments, in step S100, the information determining apparatus obtains an initial pulse waveform, and performs a pre-processing on the initial pulse waveform to obtain a corresponding target pulse waveform, wherein the pre-processing is used to remove interference signals (e.g., remove power frequency interference), and/or make different pulse waves have the same reference (e.g., reduce or eliminate baseline drift of pulse waveforms), so as to further improve the waveform quality of the pulse waves. Specifically, in some embodiments, the aforementioned pre-processing operations include one or several of:
power frequency filtering, for example implemented with smoothing filters, wave traps, band rejection filters, etc., for removing power frequency interference;
-filtering the moving average of each waveform for removing baseline wander;
-median filtering of each waveform for removing baseline wander.
For power frequency filtering, a multiband filter, a comb filter and a single frequency trap can be considered to realize real-time processing.
In some embodiments, step S300 includes substep S310, substep S320, substep S330, and substep S340 (neither shown). In the substep S310, the information determining apparatus determines a target frequency of the target pulse waveform in a preset frequency interval, wherein an amplitude corresponding to the target frequency is greater than amplitudes corresponding to other frequencies in the preset frequency interval, so as to reduce an influence of noise and interference outside the preset frequency interval on a processing result; in sub-step S320, the information determining device determines an average amplitude corresponding to a frequency smaller than the target frequency in the spectrum data; in sub-step S330, the information determining apparatus determines a target weight of the target pulse waveform based on a difference between the amplitude corresponding to the target frequency and the average amplitude; in sub-step S340, the information determination device determines waveform evaluation information of the target pulse waveform based on the target weight. In some embodiments, the preset frequency interval corresponds to a normal heart rate range of the user (for example, 50 to 120 times/min, and the corresponding preset frequency interval is 0.83Hz to 2Hz), so as to obtain a normal heart rate, filter out the influence of noise and interference, and improve the processing accuracy.
For example, taking the frequency domain waveform data shown in fig. 4b as an example, assume that the preset frequency interval is 0.83Hz to 2 Hz. For each section of frequency domain waveform, finding the value with the maximum amplitude value in the range of 0.83Hz to 2Hz, and marking as Am; the corresponding frequency is denoted Fm. The average amplitude Ap is calculated over the frequency range from 0Hz to Fm (excluding 0Hz and Fm). And taking the difference value of Am and Ap as the corresponding weight value (marked as W). After the weight values (W1, W2, … and Wn respectively) of each segment of frequency domain waveform data are obtained, the magnitude of all the weight values is compared to obtain the maximum value Ws, the corresponding waveform data is the s-th waveform, and accordingly the s-th pulse waveform is evaluated as the best pulse waveform in the n pulse waveforms. In some embodiments, each pulse waveform can be compared with other pulse waveforms in the same manner to obtain corresponding waveform evaluation information (for example, including but not limited to, the current target pulse waveform is better, the target pulse waveform is worse, the target pulse waveform is available, the target pulse waveform is unavailable, etc.).
In some embodiments, in the above sub-step S330, the information determining apparatus performs the following operations:
if the difference between the amplitude corresponding to the target frequency and the average amplitude is not less than zero, taking the difference between the amplitude corresponding to the target frequency and the average amplitude as the target weight of the target pulse waveform;
if the difference between the amplitude corresponding to the target frequency and the average amplitude is smaller than zero, taking zero as the target weight of the target pulse waveform.
In other words, after obtaining the weights according to the above method, if the weight is negative, the weight is marked as 0. Because the waveforms of the corresponding pulse waves are relatively disordered when the weight is negative, the significance is not large when a better pulse wave needs to be selected from a plurality of pulse waves, and the weight can be marked as 0 to save the storage space.
In some embodiments, the waveform evaluation information of the target pulse waveform is determined based on the weight value and a preset weight value evaluation condition, for example, after a segment of pulse waveform is acquired, the pulse waveform is evaluated as the target pulse waveform, so that corresponding information or advice (for example, pulse wave is acquired again) is provided to the user in time, and the user does not need to wait for other pulse wave acquisitions to be completed. The above method further includes step S400 (not shown). In step S400, the information determining apparatus obtains a preset weight evaluation condition, for example, based on the weight evaluation condition, when the weight is in different intervals, the corresponding waveform evaluation information is also different (e.g., the waveform is better, the waveform is worse, the waveform is available, the waveform is unavailable, etc.). Subsequently, in sub-step S340, the information determination device determines waveform evaluation information of the target pulse waveform based on the target weight and the weight evaluation condition.
In some embodiments, the waveform evaluation information for the target pulse waveform is determined based on a comparison of the pulse waveform with other waveforms (referred to as reference waveforms) (e.g., the target pulse waveform is better/worse relative to the reference waveforms, etc.) in order to select a better waveform from a plurality of waveforms for subsequent analysis processing, or to reject a worse waveform and prompt the user to re-acquire to update the waveform. In step S100, the information determining device obtains a target pulse waveform and at least one reference pulse waveform, for example, after acquiring a plurality of pulse waveforms, when one of the pulse waveforms is the target pulse waveform, the other waveforms are used as reference pulse waveforms; in step S200, the information determining apparatus performs fast fourier transform on the target pulse waveform and the reference pulse waveform respectively to obtain spectrum data corresponding to the target pulse waveform and the reference pulse waveform respectively. Accordingly, the above method further includes step S500 (not shown). In step S500, the information determination apparatus determines a weight (hereinafter referred to as a reference weight) of each reference pulse waveform; in sub-step S340, the information determination device determines waveform evaluation information of the target pulse waveform based on the target weight and the reference weight. After the plurality of pulse waveforms are collected, a better pulse waveform can be output, for example, the better pulse waveform is displayed for a user to preview, or the better pulse waveform is used as an intermediate result to be stored for subsequent use. Accordingly, in some embodiments, the method further comprises step S600 and step S700 (both not shown). In step S600, the information determination apparatus determines a pulse waveform to be output from the target pulse waveform and the reference pulse waveform based on the target weight and the reference weight; in step S700, the information determination apparatus outputs the pulse waveform to be output.
In some embodiments, in step S100, the information determining apparatus performs a pulse acquisition operation by the pulse acquisition apparatus to acquire a target pulse waveform; the above method further includes step S800 (not shown). In step S800, the information determination means determines acquisition pressure adjustment information about the pulse acquisition means for improving pulse wave quality based on the target weight. Based on the acquisition pressure adjustment information, the information determination device may in some embodiments provide a corresponding pressure adjustment recommendation to the user, so that the user adjusts the acquisition pressure applied by the pulse acquisition device to the skin surface based on the recommendation, thereby acquiring a better quality pulse waveform; in other embodiments, the information determining means may then generate a pressure adjustment instruction that is sent to a pressure adjustment mechanism of the pulse acquisition device, such that the pulse acquisition device automatically adjusts the acquisition pressure applied by the gas to the skin surface of the user.
In some embodiments, the method further comprises step S900 (not shown). In step S900, the information determination device provides the user with re-acquisition prompt information for prompting the user to re-acquire a pulse waveform based on the waveform evaluation information. For example, in the case that the waveform evaluation information includes "the target pulse waveform is poor" or "the target pulse waveform is not available", the re-acquisition prompt information is provided to the user in real time, and the user does not take off the pulse acquisition device at this time, so the operation efficiency is high and the experience is good.
Some specific embodiments of the present application are detailed above. It should be understood that these embodiments are merely examples and are not intended to limit the present invention to any particular embodiment.
According to one aspect of the present application, the present application also provides an information determination apparatus. Referring to fig. 5, the information determining apparatus includes a first module 100, a second module 200, and a third module 300. The first module 100, the second module 200, and the third module 300 are respectively configured to perform the operations in the steps S100, S200, and S300, and please refer to fig. 3 and the related embodiments for a specific implementation manner, which is not described herein again.
The present application also provides a computer readable storage medium having stored thereon computer code which, when executed, performs a method as in any one of the preceding.
The present application also provides a computer program product, which when executed by a computer device, performs the method of any of the preceding claims.
The present application further provides a computer device, comprising:
one or more processors;
a memory for storing one or more computer programs;
the one or more computer programs, when executed by the one or more processors, cause the one or more processors to implement the method of any preceding claim.
FIG. 6 illustrates an exemplary system that can be used to implement the various embodiments described in this application.
As shown in FIG. 6, in some embodiments, the system 1000 can be implemented as any one of the devices or apparatuses in each of the described embodiments. In some embodiments, system 1000 may include one or more computer-readable media (e.g., system memory or NVM/storage 1020) having instructions and one or more processors (e.g., processor(s) 1005) coupled with the one or more computer-readable media and configured to execute the instructions to implement modules to perform the actions described herein.
For one embodiment, system control module 1010 may include any suitable interface controllers to provide any suitable interface to at least one of the processor(s) 1005 and/or to any suitable device or component in communication with system control module 1010.
The system control module 1010 may include a memory controller module 1030 to provide an interface to the system memory 1015. Memory controller module 1030 may be a hardware module, a software module, and/or a firmware module.
System memory 1015 may be used to load and store data and/or instructions, for example, for system 1000. For one embodiment, system memory 1015 may include any suitable volatile memory, such as suitable DRAM. In some embodiments, the system memory 1015 may include a double data rate type four synchronous dynamic random access memory (DDR4 SDRAM).
For one embodiment, system control module 1010 may include one or more input/output (I/O) controllers to provide an interface to NVM/storage 1020 and communication interface(s) 1025.
For example, NVM/storage 1020 may be used to store data and/or instructions. NVM/storage 1020 may include any suitable non-volatile memory (e.g., flash memory) and/or may include any suitable non-volatile storage device(s) (e.g., one or more Hard Disk drive(s) (HDD (s)), one or more Compact Disc (CD) drive(s), and/or one or more Digital Versatile Disc (DVD) drive (s)).
NVM/storage 1020 may include storage resources that are physically part of a device on which system 1000 is installed or may be accessed by the device and not necessarily part of the device. For example, NVM/storage 1020 may be accessed over a network via communication interface(s) 1025.
Communication interface(s) 1025 may provide an interface for system 1000 to communicate over one or more networks and/or with any other suitable device. System 1000 may communicate wirelessly with one or more components of a wireless network according to any of one or more wireless network standards and/or protocols.
For one embodiment, at least one of the processor(s) 1005 may be packaged together with logic for one or more controller(s) of the system control module 1010, e.g., memory controller module 1030. For one embodiment, at least one of the processor(s) 1005 may be packaged together with logic for one or more controller(s) of the system control module 1010 to form a System In Package (SiP). For one embodiment, at least one of the processor(s) 1005 may be integrated on the same die with logic for one or more controller(s) of the system control module 1010. For one embodiment, at least one of the processor(s) 1005 may be integrated on the same die with logic of one or more controllers of the system control module 1010 to form a system on a chip (SoC).
In various embodiments, system 1000 may be, but is not limited to being: a server, a workstation, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.). In various embodiments, system 1000 may have more or fewer components and/or different architectures. For example, in some embodiments, system 1000 includes one or more cameras, a keyboard, a Liquid Crystal Display (LCD) screen (including a touch screen display), a non-volatile memory port, multiple antennas, a graphics chip, an Application Specific Integrated Circuit (ASIC), and speakers.
It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, implemented using Application Specific Integrated Circuits (ASICs), general purpose computers or any other similar hardware devices. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions described above. Likewise, the software programs (including associated data structures) of the present application may be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Additionally, some of the steps or functions of the present application may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.
In addition, some of the present application may be implemented as a computer program product, such as computer program instructions, which when executed by a computer, may invoke or provide methods and/or techniques in accordance with the present application through the operation of the computer. Those skilled in the art will appreciate that the form in which the computer program instructions reside on a computer-readable medium includes, but is not limited to, source files, executable files, installation package files, and the like, and that the manner in which the computer program instructions are executed by a computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Computer-readable media herein can be any available computer-readable storage media or communication media that can be accessed by a computer.
Communication media includes media by which communication signals, including, for example, computer readable instructions, data structures, program modules, or other data, are transmitted from one system to another. Communication media may include conductive transmission media such as cables and wires (e.g., fiber optics, coaxial, etc.) and wireless (non-conductive transmission) media capable of propagating energy waves such as acoustic, electromagnetic, RF, microwave, and infrared. Computer readable instructions, data structures, program modules, or other data may be embodied in a modulated data signal, for example, in a wireless medium such as a carrier wave or similar mechanism such as is embodied as part of spread spectrum techniques. The term "modulated data signal" means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. The modulation may be analog, digital or hybrid modulation techniques.
By way of example, and not limitation, computer-readable storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. For example, computer-readable storage media include, but are not limited to, volatile memory such as random access memory (RAM, DRAM, SRAM); and non-volatile memory such as flash memory, various read-only memories (ROM, PROM, EPROM, EEPROM), magnetic and ferromagnetic/ferroelectric memories (MRAM, FeRAM); and magnetic and optical storage devices (hard disk, tape, CD, DVD); or other now known media or later developed that can store computer-readable information/data for use by a computer system.
An embodiment according to the present application comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform a method and/or a solution according to the aforementioned embodiments of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Claims (15)
1. A method for determining waveform evaluation information of a pulse waveform, wherein the method comprises:
acquiring a target pulse waveform;
performing fast Fourier transform on the target pulse waveform to obtain frequency spectrum data corresponding to the target pulse waveform;
waveform evaluation information of the target pulse waveform is determined based on the spectral data.
2. The method of claim 1, wherein the step of obtaining a target pulse waveform comprises:
and executing pulse acquisition operation through the pulse acquisition device to acquire a target pulse waveform.
3. The method of claim 2, wherein the step of performing a pulse acquisition operation by a pulse acquisition device comprises:
and executing pulse acquisition operation through a pulse acquisition device based on the preset acquisition time.
4. The method of any one of claims 1 to 3, wherein the step of acquiring a target pulse waveform comprises:
acquiring an initial pulse waveform, and preprocessing the initial pulse waveform to acquire a corresponding target pulse waveform;
wherein the pre-treatment comprises at least any one of:
power frequency filtering;
filtering by moving average;
and (6) median filtering.
5. The method of claim 1, wherein the step of determining waveform evaluation information for the target pulse waveform based on the spectral data comprises:
determining a target frequency of the target pulse waveform in a preset frequency interval, wherein the amplitude corresponding to the target frequency is greater than the amplitudes corresponding to other frequencies in the preset frequency interval;
determining an average amplitude corresponding to a frequency smaller than the target frequency in the spectrum data;
determining a target weight of the target pulse waveform based on a difference between the amplitude corresponding to the target frequency and the average amplitude;
and determining waveform evaluation information of the target pulse waveform based on the target weight.
6. The method of claim 5, wherein the preset frequency interval is determined based on a heart rate interval of a user.
7. The method of claim 5, wherein the step of determining the target weight of the target pulse waveform based on the difference between the amplitude corresponding to the target frequency and the average amplitude comprises:
if the difference between the amplitude corresponding to the target frequency and the average amplitude is not less than zero, taking the difference between the amplitude corresponding to the target frequency and the average amplitude as a target weight of the target pulse waveform;
and if the difference between the amplitude corresponding to the target frequency and the average amplitude is smaller than zero, taking zero as the target weight of the target pulse waveform.
8. The method according to claim 5, wherein prior to the step of determining waveform evaluation information of the target pulse waveform based on the target weight, the method further comprises:
acquiring a preset weight evaluation condition;
the step of determining waveform evaluation information of the target pulse waveform based on the target weight includes:
and determining waveform evaluation information of the target pulse waveform based on the target weight and the weight evaluation condition.
9. The method of claim 5, wherein the step of obtaining a target pulse waveform comprises:
acquiring a target pulse waveform and at least one reference pulse waveform;
the step of performing fast fourier transform on the target pulse waveform to obtain the spectrum data corresponding to the target pulse waveform includes:
performing fast Fourier transform on the target pulse waveform and the reference pulse waveform respectively to obtain frequency spectrum data corresponding to the target pulse waveform and the reference pulse waveform respectively;
the method further comprises the following steps:
determining a reference weight of the reference pulse waveform;
the step of determining waveform evaluation information of the target pulse waveform based on the target weight includes:
and determining waveform evaluation information of the target pulse waveform based on the target weight and the reference weight.
10. The method of claim 9, wherein the method further comprises:
determining a pulse waveform to be output from the target pulse waveform and the reference pulse waveform based on the target weight and the reference weight;
and outputting the pulse waveform to be output.
11. The method of claim 5, wherein the step of obtaining a target pulse waveform comprises:
executing pulse acquisition operation through a pulse acquisition device to acquire a target pulse waveform;
the method further comprises the following steps:
and determining acquisition pressure adjustment information about the pulse acquisition device based on the target weight.
12. The method of claim 1, wherein the waveform evaluation information includes any one of:
the target pulse waveform is better;
poor target pulse waveform;
a target pulse waveform is available;
the target pulse waveform is not available.
13. The method of claim 1 or 12, wherein the method further comprises:
and providing the user with re-acquisition prompt information based on the waveform evaluation information.
14. An apparatus for determining waveform evaluation information of a pulse waveform, wherein the apparatus comprises:
a processor; and
a memory arranged to store computer-executable instructions that, when executed, cause the processor to perform operations according to the method of any one of claims 1 to 13.
15. A computer-readable medium storing instructions that, when executed by a computer, cause the computer to perform operations according to the method of any one of claims 1 to 13.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112494001A (en) * | 2020-11-25 | 2021-03-16 | 青岛歌尔智能传感器有限公司 | PPG signal quality evaluation method and device, wearable device and storage medium |
| CN113558584A (en) * | 2021-06-22 | 2021-10-29 | 深圳市大数据研究院 | Pulse wave preprocessing method based on signal quality evaluation |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101502414A (en) * | 2008-02-07 | 2009-08-12 | 普尔松医疗系统公司 | Apparatus and method for determining a physiological parameter |
| CN102247128A (en) * | 2010-05-19 | 2011-11-23 | 中国科学院计算技术研究所 | Human body pulse information collecting device and human body health status monitoring device |
| CN103211586A (en) * | 2013-04-12 | 2013-07-24 | 深圳市理邦精密仪器股份有限公司 | Optical-detection-based noninvasive pressure signal acquisition method and device |
| CN103393425A (en) * | 2013-07-14 | 2013-11-20 | 北京师范大学 | Real-time signal quality evaluation algorithm for near-infrared brain functional imaging system |
| CN104757955A (en) * | 2015-03-25 | 2015-07-08 | 华中科技大学 | Human body blood pressure prediction method based on pulse wave |
| CN105342596A (en) * | 2015-12-15 | 2016-02-24 | 深圳市珑骧智能科技有限公司 | Method and system capable of increasing heart rate detection accuracy |
| CN105796115A (en) * | 2016-04-20 | 2016-07-27 | 广州视源电子科技股份有限公司 | Blood oxygen measurement method and system |
| CN107595249A (en) * | 2017-09-30 | 2018-01-19 | 深圳前海全民健康科技有限公司 | pregnant female screening method based on pulse wave |
| CN108042141A (en) * | 2017-11-17 | 2018-05-18 | 深圳和而泰智能控制股份有限公司 | A kind of signal processing method and device |
| CN108366759A (en) * | 2015-09-29 | 2018-08-03 | 皇家飞利浦有限公司 | Equipment, system and method for extracting physiologic information |
| CN108523877A (en) * | 2018-03-23 | 2018-09-14 | 南京中医药大学 | A kind of electrocardiosignal quality discrimination method and its ecg analysis method |
| CN109864704A (en) * | 2017-12-01 | 2019-06-11 | 三星电子株式会社 | Bio signal quality evaluation equipment and bio signal quality evaluating method |
| CN110123297A (en) * | 2019-04-04 | 2019-08-16 | 平安科技（深圳）有限公司 | Method for measuring heart rate, device, computer equipment and storage medium |
| CN110236532A (en) * | 2019-04-30 | 2019-09-17 | 深圳和而泰家居在线网络科技有限公司 | Processing of bioelectric signals method, apparatus, computer equipment and storage medium |
-
2019
- 2019-10-18 CN CN201910994104.1A patent/CN110755055A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101502414A (en) * | 2008-02-07 | 2009-08-12 | 普尔松医疗系统公司 | Apparatus and method for determining a physiological parameter |
| CN102247128A (en) * | 2010-05-19 | 2011-11-23 | 中国科学院计算技术研究所 | Human body pulse information collecting device and human body health status monitoring device |
| CN103211586A (en) * | 2013-04-12 | 2013-07-24 | 深圳市理邦精密仪器股份有限公司 | Optical-detection-based noninvasive pressure signal acquisition method and device |
| CN103393425A (en) * | 2013-07-14 | 2013-11-20 | 北京师范大学 | Real-time signal quality evaluation algorithm for near-infrared brain functional imaging system |
| CN104757955A (en) * | 2015-03-25 | 2015-07-08 | 华中科技大学 | Human body blood pressure prediction method based on pulse wave |
| CN108366759A (en) * | 2015-09-29 | 2018-08-03 | 皇家飞利浦有限公司 | Equipment, system and method for extracting physiologic information |
| CN105342596A (en) * | 2015-12-15 | 2016-02-24 | 深圳市珑骧智能科技有限公司 | Method and system capable of increasing heart rate detection accuracy |
| CN105796115A (en) * | 2016-04-20 | 2016-07-27 | 广州视源电子科技股份有限公司 | Blood oxygen measurement method and system |
| CN107595249A (en) * | 2017-09-30 | 2018-01-19 | 深圳前海全民健康科技有限公司 | pregnant female screening method based on pulse wave |
| CN108042141A (en) * | 2017-11-17 | 2018-05-18 | 深圳和而泰智能控制股份有限公司 | A kind of signal processing method and device |
| CN109864704A (en) * | 2017-12-01 | 2019-06-11 | 三星电子株式会社 | Bio signal quality evaluation equipment and bio signal quality evaluating method |
| CN108523877A (en) * | 2018-03-23 | 2018-09-14 | 南京中医药大学 | A kind of electrocardiosignal quality discrimination method and its ecg analysis method |
| CN110123297A (en) * | 2019-04-04 | 2019-08-16 | 平安科技（深圳）有限公司 | Method for measuring heart rate, device, computer equipment and storage medium |
| CN110236532A (en) * | 2019-04-30 | 2019-09-17 | 深圳和而泰家居在线网络科技有限公司 | Processing of bioelectric signals method, apparatus, computer equipment and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112494001A (en) * | 2020-11-25 | 2021-03-16 | 青岛歌尔智能传感器有限公司 | PPG signal quality evaluation method and device, wearable device and storage medium |
| CN113558584A (en) * | 2021-06-22 | 2021-10-29 | 深圳市大数据研究院 | Pulse wave preprocessing method based on signal quality evaluation |
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