CN116580336A - Method, device, equipment and storage medium for generating blood flow waveform image - Google Patents

Method, device, equipment and storage medium for generating blood flow waveform image Download PDF

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CN116580336A
CN116580336A CN202310526698.XA CN202310526698A CN116580336A CN 116580336 A CN116580336 A CN 116580336A CN 202310526698 A CN202310526698 A CN 202310526698A CN 116580336 A CN116580336 A CN 116580336A
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signal
time sequence
target
blood flow
processing
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郭倜颖
刘伟超
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/026—Measuring blood flow
    • A61B5/0261—Measuring blood flow using optical means, e.g. infrared light
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/30—Noise filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/49—Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots or scenes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/107—Static hand or arm
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/107—Static hand or arm
    • G06V40/117—Biometrics derived from hands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/15—Biometric patterns based on physiological signals, e.g. heartbeat, blood flow

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Abstract

The application provides a method, a device, equipment and a computer readable storage medium for generating a blood flow waveform image, wherein the method comprises the following steps: acquiring a video acquired by a video acquisition device at a target hand position of a person to be detected, and carrying out frame dismantling processing on the video to obtain images corresponding to a plurality of time points; performing RGB three-channel signal separation processing on each image according to the color value of each image to obtain respective corresponding first timing signals of the RGB three channels; noise removing processing and up-sampling processing are carried out on each first timing sequence signal, and target timing sequence signals corresponding to each first timing sequence signal are obtained; and under the condition that at least one target time sequence signal accords with the signal synthesis condition, performing periodic waveform extraction processing and normalization processing on the target time sequence signal which accords with the signal synthesis condition to obtain a target blood flow waveform image. The application can display the blood flow change of the target hand position in the form of the image, and improves the generation efficiency and accuracy of the blood flow waveform image.

Description

Method, device, equipment and storage medium for generating blood flow waveform image
Technical Field
The present application relates to the field of image processing technologies, and in particular, to a method, an apparatus, a device, and a computer readable storage medium for generating a blood flow waveform image.
Background
In medicine, pulse waves are generally classified into pressure pulse waves and volume pulse waves. The volume pulse wave characterizes the periodic variation of the blood flow, and contains important information of the blood vessel and the blood flow of the human body. The measuring part of the human body is irradiated by light, the light beam reaches the photoelectric sensor after reflection and projection, and the received light beam carries effective characteristic information of volume pulse waves. However, the current measurement methods for pulse wave and blood flow waveform are single, and the measured waveform is subjected to more interference information, so that the accuracy of the blood flow waveform is poor, and the accuracy of the analysis result based on the blood flow waveform is low.
Disclosure of Invention
The application mainly aims to provide a method, a device, equipment and a computer readable storage medium for generating a blood flow waveform image, aiming to improve the generation efficiency and the accuracy of the blood flow waveform image.
In a first aspect, the present application provides a method for generating a blood flow waveform image, the method comprising the steps of:
Acquiring a video acquired by a video acquisition device at a target hand position of a person to be detected, and carrying out frame splitting treatment on the video to obtain images corresponding to a plurality of time points;
performing RGB three-channel signal separation processing on each image according to the color value of each image to obtain respective corresponding first timing signals of the RGB three channels;
noise removing processing and up-sampling processing are carried out on each first time sequence signal, and target time sequence signals corresponding to each first time sequence signal are obtained;
and under the condition that at least one target time sequence signal accords with the signal synthesis condition, carrying out periodic waveform extraction processing and normalization processing on the target time sequence signal which accords with the signal synthesis condition to obtain a target blood flow waveform image.
In a second aspect, the present application also provides a blood flow waveform image generating apparatus, including:
the image acquisition module is used for acquiring videos acquired by the video acquisition device at the target hand position of the person to be detected, and carrying out frame dismantling processing on the videos to obtain images corresponding to a plurality of time points;
the time sequence signal generation module is used for carrying out RGB three-channel signal separation processing on each image according to the color value of each image to obtain first time sequence signals corresponding to the RGB three channels;
The time sequence signal processing module is used for carrying out noise removal processing and up-sampling processing on each first time sequence signal to obtain a target time sequence signal corresponding to each first time sequence signal;
and the blood flow waveform image generation module is used for carrying out periodic waveform extraction processing and normalization processing on the target time sequence signals conforming to the signal synthesis conditions under the condition that at least one target time sequence signal conforms to the signal synthesis conditions, so as to obtain a target blood flow waveform image.
In a third aspect, the present application also provides a computer device comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program when executed by the processor implements the steps of the method for generating a blood flow waveform image as described above.
In a fourth aspect, the present application also provides a computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for generating a blood flow waveform image as described above.
The application provides a method, a device, equipment and a computer readable storage medium for generating a blood flow waveform image, which are characterized in that a video of a target hand position is acquired, channel signal separation, denoising and up-sampling processing are carried out on an image determined by the video, and the target blood flow waveform image is generated under the condition that a processed time sequence signal meets signal synthesis, so that the blood flow change of the target hand position is converted into a digital waveform form and displayed in the form of the blood flow waveform image, the blood flow change of the target hand position is visible, the data is not required to be manually processed, the generation efficiency of the blood flow waveform image is improved, the target blood flow waveform image is generated under the condition that the time sequence signal meets signal synthesis, and the generation accuracy of the blood flow waveform image is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for generating a blood flow waveform image according to an embodiment of the present application;
fig. 2 is a schematic diagram of a blood vessel distribution of a hand position of a human body according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a second timing signal according to an embodiment of the application;
FIG. 4 is a schematic diagram of a blood flow waveform image according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a generating device for generating a blood flow waveform image according to an embodiment of the present application;
fig. 6 is a schematic block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
The embodiment of the application provides a method and a device for generating a blood flow waveform image, computer equipment and a computer readable storage medium. The method for generating the blood flow waveform image can be applied to terminal equipment, and the terminal equipment can be electronic equipment such as a tablet computer, a notebook computer, a desktop computer and the like. The cloud server can be applied to a server, and can be a single server or a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDNs), basic cloud computing services such as big data and artificial intelligence platforms and the like.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for generating a blood flow waveform image according to an embodiment of the application.
As shown in fig. 1, the method for generating a blood flow waveform image includes steps S101 to S104.
Step S101, acquiring videos acquired by a video acquisition device at the target hand position of a person to be detected, and carrying out frame dismantling processing on the videos to obtain images corresponding to a plurality of time points.
For example, the hand of the person under test may be placed under the video capture device to enable the video capture device to capture video of the target hand position.
Referring to fig. 2, fig. 2 is a schematic diagram of a blood vessel distribution of a hand position of a human body according to an embodiment of the application.
Illustratively, the target hand position includes a fingertip position.
Specifically, as shown in fig. 2, the front end of the finger in the hand is distributed with abundant capillary networks, so that the content condition of hemoglobin in the human body can be effectively reflected, the position has obvious blood flow volume change characteristics, and the muscles and skeletal tissues of the finger are relatively thinner, so that the influence of background interference information is relatively smaller, and the video definition is improved; in addition, the front end of the finger is convenient for measurement, and the examinee has no psychological burden, thereby being beneficial to obtaining stable high signal-to-noise ratio spectrum signals.
The video acquired by the video acquisition device is not a surface image of the target hand position, but irradiates the target hand position with light, the light beam reaches the photoelectric sensor after reflection and projection, the received light beam carries effective characteristic information of the volume pulse wave corresponding to the target hand position, and the blood flow waveform image is determined based on the video acquired by the photoelectric sensor.
Exemplary, frame splitting processing is performed on the acquired video to obtain images corresponding to a plurality of time points.
Specifically, the video acquisition device continuously shoots the target hand position for 20s at a sampling frequency of 25Hz to obtain a video, and after frame disassembly processing is performed on the acquired video, an image of at least 500 frames is obtained, and it can be understood that the shooting time of each frame of image corresponds to a time point.
It will be appreciated that the foregoing is merely exemplary, and that the duration of the imaging may be other durations to ensure that sufficient images are obtained to ensure that there are sufficient blood flow waveform periods to analyze and extract.
And step S102, carrying out RGB three-channel signal separation processing on each image according to the color value of each image to obtain respective corresponding first time sequence signals of the RGB three channels.
For example, the image at each time point is subjected to RGB three-channel signal separation processing, so as to obtain first timing signals corresponding to the RGB channels respectively.
In some embodiments, performing RGB three-channel signal separation processing on each image according to a color value of each image to obtain first timing signals corresponding to the RGB three channels, where the first timing signals include: extracting a first color value corresponding to an R channel, a second color corresponding to a G channel and a third color value corresponding to a B channel of an image corresponding to each moment point; and determining a first timing signal corresponding to the R channel according to the first color value, determining a first timing signal corresponding to the G channel according to the second color value, and determining a first timing signal corresponding to the B channel according to the third color value.
Specifically, the RGB color values of each pixel in each frame of image are obtained, and the R color values of all pixels in each frame of image are added to obtain a first color value corresponding to each frame of image, and similarly, the determining process of the second color value and the third color value is the determining process of the first color value, so as to obtain a timing signal corresponding to the R channel, a first timing signal corresponding to the G channel and a first timing signal corresponding to the B channel respectively.
It can be understood that in the case where there are 500 frames of images, the obtained first timing signal of each channel includes 500 signal points, where one signal point corresponds to one color value of one frame of image, and thus the signal points and the time points are also in one-to-one correspondence.
Step S103, performing noise removal processing and up-sampling processing on each of the first timing signals, to obtain a target timing signal corresponding to each of the first timing signals.
Exemplary, noise removal processing and up-sampling processing are performed on the first timing signal corresponding to the R channel, the first timing signal corresponding to the G channel, and the first timing signal corresponding to the B channel, respectively, to obtain a target timing signal corresponding to the R channel, a target timing signal corresponding to the G channel, and a target timing signal corresponding to the B channel.
In some embodiments, performing noise removal processing and up-sampling processing on each first timing signal to obtain a target timing signal corresponding to each first timing signal, including: performing baseline removal processing on the first time sequence signal to obtain a second time sequence signal corresponding to the first time sequence signal; sequentially setting all signal points in the second time sequence signal as target signal points; determining a first signal point and a second signal point which are adjacent to the target signal point; when the signal value of the target signal point is smaller than that of the first signal point and the signal value of the target signal point is smaller than that of the second signal point, determining the target signal point as a noise signal point; removing noise signal points in the second time sequence signal to obtain a third time sequence signal; and performing up-sampling processing on the third time sequence signal, and performing filtering processing on the up-sampled third time sequence signal to obtain a target time sequence signal.
For simplicity of description, the following specific implementation process is illustrated by taking the first timing signal corresponding to the R channel as an example.
In the implementation process, a baseline value of a first time sequence signal corresponding to the R channel is determined, wherein a signal average value of all signal points of the first time sequence signal corresponding to the R channel is calculated, the signal average value is used as the baseline value, the baseline value is subtracted from the signal value of each signal point, and a second time sequence signal is determined by subtracting the baseline value from the signal point.
All signal points in the second time sequence signal are sequentially used as target signal points to determine whether each signal point is a noise signal point. Specifically, a first signal point and a second signal point adjacent to the target signal point are determined, and a signal value of the first signal point and a signal value of the second signal point are obtained, so that whether the target signal point is a noise signal point or not is determined according to the signal value of the target signal point, the signal value of the first signal point and the signal value of the second signal point.
Referring to fig. 3, fig. 3 is a schematic diagram of a second timing signal according to an embodiment of the application.
As shown in fig. 3, the second timing signal includes at least a signal point a, a signal point b, a signal point c, and a signal point d, when the signal point b is the target signal point, the signal value of the signal point b is smaller than the signal value of the signal point a, and the signal value of the signal point b is also smaller than the signal value of the signal point c, so as to determine that the signal point b is a noise signal point; when the signal point c is used as a target signal point, the signal value of the signal point c is larger than that of the signal point b, and the signal value of the signal point c is smaller than that of the signal point d, and the signal point c is determined to be a non-noise signal point; after the noise signal points are determined, the noise signal points are removed from the second time sequence signal, for example, the signal points b are removed, and the signal points are spliced again to obtain a third time sequence signal, wherein it can be understood that the number of the signal points contained in the third time sequence signal is smaller than or equal to that of the signal points contained in the second time sequence signal.
After the third time sequence signal is obtained, carrying out up-sampling processing on the third time sequence signal, specifically, carrying out interpolation processing on the third time sequence signal to finish twice up-sampling processing on the third time sequence signal, wherein the frequency of the third time sequence signal after the first up-sampling processing is 3 times of the frequency of the third time sequence signal before the first up-sampling processing; the frequency of the third time sequence signal after the second up-sampling process is 10 times of that of the third time sequence signal after the first up-sampling process, and it can be understood that in the process of up-sampling the signal points, up-sampling processing with the same frequency is also performed on the time sequence corresponding to the signal point sequence, so that the signal points and the time points still have a one-to-one correspondence relationship, so as to obtain the third time sequence signal after the up-sampling process, and filtering processing is performed on the third time sequence signal after the up-sampling process, so as to obtain the target time sequence signal.
Illustratively, the filtering process of the up-sampled third timing signal is performed based on a Savitzky-Golay filter.
It should be noted that, the first timing signal of the G channel and the first timing signal of the B channel perform noise removal processing and up-sampling processing on the first timing signal of the R channel to obtain the target timing signal of the G channel and the target timing signal of the B channel, which are not described herein.
Step S104, performing periodic waveform extraction processing and normalization processing on the target time sequence signals meeting the signal synthesis conditions to obtain target blood flow waveform images under the condition that at least one target time sequence signal meets the signal synthesis conditions.
The method includes determining whether a target timing signal of an R channel, a target timing signal of a G channel, and a target timing signal of a B channel meet a signal synthesis condition, and performing a periodic waveform extraction process and a normalization process on the target timing signal meeting the signal synthesis condition to obtain a target blood flow waveform image when at least one of the target timing signals meets the signal synthesis condition.
It will be appreciated that the magnitude of the blood flow through the target hand position at different times will vary and there will be a periodic variation in the magnitude, so that the target blood flow waveform image can reflect the variation in blood flow through the target hand position to provide basic information for further analysis of the body health index, cardiac function information, etc.
In some embodiments, when at least one target timing signal meets a signal synthesis condition, performing a periodic waveform extraction process and a normalization process on the target timing signal meeting the signal synthesis condition to obtain a target blood flow waveform image, including: determining a first number of signal points contained in the target time sequence signal and determining a second number of signal points contained in the first time sequence signal corresponding to the target time sequence signal; and under the condition that the difference value between the first number and the second number is larger than or equal to a preset difference value threshold value, determining that the target time sequence signal meets the signal synthesis condition, and performing periodic waveform extraction processing and normalization processing on the target time sequence signal meeting the signal synthesis condition to obtain a target blood flow waveform image.
The method includes determining a first number of signal points included in a target timing signal, determining a second number of signal points included in a first timing signal corresponding to the target timing signal, and determining that the target timing signal meets a signal synthesis condition when a difference between the first number and the second number is greater than or equal to a preset difference threshold.
Specifically, when only one target timing signal meets the signal synthesis condition, the periodic waveform extraction processing and the normalization processing are performed based on the target timing signal meeting the signal synthesis condition.
Under the condition that two target time sequence signals meet the signal synthesis conditions, performing signal synthesis processing on the target time sequence signals meeting the signal synthesis conditions, and performing periodic waveform extraction processing and normalization processing on the time sequence signals after the synthesis processing.
If all the three target time sequence signals accord with the signal synthesis conditions, determining signal effective values of the target time sequence signals, sequencing the target time sequence signals according to the signal effective values, performing signal synthesis processing on the target time sequence signals with sequencing positions in the first two bits, and performing periodic waveform extraction processing and normalization processing on the synthesized time sequence signals to obtain a blood flow waveform image.
The signal effective value of the target time sequence signal is determined according to the number of signal points contained in the target time sequence signal and the number of signal points contained in the first time sequence signal corresponding to the target time sequence signal, and the first time sequence signal corresponding to the target time sequence signal is used for indicating that the target time sequence signal is obtained by performing noise removal processing and up-sampling processing on the first time sequence signal corresponding to the target time sequence signal.
In other embodiments, under the condition that none of the target timing signals meets the signal synthesis condition, determining a target timing signal corresponding to the B channel, and performing assignment processing on signal values of all signal points in the target timing signal corresponding to the B channel; and determining a target blood flow waveform image according to at least two target time sequence signals in the target time sequence signals after assignment processing, the target time sequence signals corresponding to the R channel, the target time sequence information corresponding to the G channel and the target time sequence signals corresponding to the B channel.
Illustratively, the assigning process includes determining a current signal value of the signal point, determining an opposite number of the current signal value, and assigning the opposite number as a signal value of the signal point, for example, a signal value of signal point e is 258, and a signal value of signal point e after the assigning process is-258, and it is understood that the assigning process is performed on each signal point of the target timing signal of the B channel as described above, to obtain a target timing signal after the assigning process; and determining a target blood flow waveform image according to at least two target time sequence signals of the target time sequence signals after assignment processing, the target time sequence signals corresponding to the R channel, the target time sequence information corresponding to the G channel and the target time sequence signals corresponding to the B channel, so as to improve the accuracy of the target blood flow waveform image.
In some embodiments, determining the target blood flow waveform image according to at least two target timing signals of the assigned target timing signals, the target timing signals corresponding to the R channel, the target timing signals corresponding to the G channel, and the target timing signals corresponding to the B channel includes: determining signal effective values corresponding to the target time sequence signals; performing periodic waveform extraction and normalization according to a target time sequence signal with a signal effective value larger than or equal to a preset signal effective threshold value to obtain a target blood flow waveform image; the signal effective values are determined according to the number of signal points in the first time sequence signal corresponding to the target time sequence signal and the number of signal points in the target time sequence signal, and the signal effective values of at least two target time sequence signals are larger than or equal to a preset signal effective threshold.
The signal effective value of the target timing signal of the R channel is determined according to a quotient of the number of signal points of the target timing signal of the R channel and the number of signal points of the first timing signal of the R channel. It can be understood that the above processing is performed on the target timing signal after assignment processing, the target timing signal of the B channel, and the target timing signal of the G channel, to obtain respective corresponding signal effective values.
In an exemplary embodiment, the target time sequence signals with signal effective values greater than or equal to a preset signal effective threshold are sequenced according to the signal effective values corresponding to the target time sequence signals, and the preset signal effective threshold is determined based on the sequencing result, for example, the signal effective value at the second position of the sequencing result is determined as the preset signal effective threshold, so that the target blood flow waveform image is determined according to the target time sequence signals at the first two positions of the sequencing result.
It can be understood that, before the periodic waveform extraction and normalization processing are performed on the target timing signals, the two target timing signals are subjected to synthesis processing, for example, signal values of respective corresponding signal points are added to obtain a timing signal to be processed, and the periodic waveform extraction and normalization processing are performed on the timing signal to be processed to obtain a target blood flow waveform image.
In some embodiments, performing a periodic waveform extraction process and a normalization process on a target timing signal that meets a signal synthesis condition to obtain a target blood flow waveform image, including: in a target time sequence signal conforming to a signal synthesis condition, determining that a signal value smaller than or equal to signal values of other signal points is a first peak value; in the target time sequence signal, taking a signal point corresponding to a process that a signal value rises from a first peak value to a second peak value and falls from the second peak value to the first peak value as a periodic signal point, wherein the second peak value is larger than or equal to a signal value corresponding to any signal point in the target time sequence signal; normalizing the signal value of each periodic signal point; and determining a target blood flow waveform image according to the normalized periodic signal points.
In the target time sequence signal, a signal point with the minimum signal value is determined, specifically, a signal point with a smaller signal value is compared with another signal point through signal value comparison among the signal points, for example, the signal point with the smaller signal value is compared with another signal point each time until all the signal points are compared once, a signal point with the minimum signal value in the target time sequence signal, for example, a signal point f is determined, the position of the signal point f is determined, and the signal value of the signal point f is taken as a first peak value; taking the position of the signal point f as a starting position, traversing each signal point according to time sequence, determining a signal point g of which the signal value returns to the first peak value again, and taking the position of the signal point g as an ending position; the signal points between the initial position and the final position serve as periodic signal points, and it can be understood that the signal points with the signal value of the second peak value are further included in the process of traversing from the initial position to the final position, and the second peak value is not smaller than the signal value corresponding to any other signal point in the target time sequence signal, so that the blood flow waveform image is determined according to the signal points between the initial position and the final position.
Exemplary, after the periodic signal points are determined, performing normalization processing on the periodic signal points to obtain a blood flow waveform image, specifically, dividing a signal value of each periodic signal point by a second peak value to obtain a signal target value of each periodic signal point, and determining the blood flow waveform image based on the signal target value; it can be understood that the obtained periodic signal points and the corresponding signal target values are single periodic signals, and when outputting the blood flow waveform image, the period amplification processing can be performed based on the periodic signal points so as to increase the period of the blood flow waveform image.
Referring to fig. 4, fig. 4 is a schematic diagram of a blood flow waveform image according to an embodiment of the application.
In one embodiment, the target blood flow waveform image determined from the normalized periodic signal points is shown in fig. 4.
According to the method for generating the blood flow waveform image, provided by the embodiment, the video of the target hand position of the person to be detected is collected, and the video is subjected to frame dismantling processing to obtain an image sequence corresponding to the time sequence; the method comprises the steps of carrying out channel signal separation on images in an image sequence, carrying out denoising and up-sampling on each channel of separated time sequence signals, so that under the condition that the processed time sequence signals meet signal synthesis conditions, a blood flow waveform image corresponding to a person to be detected is generated, the generation efficiency of the blood flow waveform image is improved, the blood flow change of the target hand position of the person to be detected is visible, whether the processed time sequence signals can generate the blood flow waveform image or not is determined through the signal synthesis conditions, and the accuracy of the generated blood flow waveform image is improved.
Referring to fig. 5, fig. 5 is a schematic diagram of a blood flow waveform image generating apparatus according to an embodiment of the present application, where the generating apparatus of the blood flow waveform image may be configured in a server or a terminal, for executing the foregoing method of generating the blood flow waveform image.
As shown in fig. 5, the blood flow waveform image generating apparatus includes: an image acquisition module 110, a time sequence signal generation module 120, a time sequence signal processing module 130, and a blood flow waveform image generation module 140.
The image acquisition module 110 is configured to acquire a video acquired by the video acquisition device at a target hand position of a person to be detected, and perform frame splitting processing on the video to obtain images corresponding to a plurality of time points.
The timing signal generating module 120 is configured to perform RGB three-channel signal separation processing on each image according to the color value of each image, so as to obtain first timing signals corresponding to the RGB three channels.
The timing signal processing module 130 is configured to perform noise removal processing and up-sampling processing on each first timing signal, so as to obtain a target timing signal corresponding to each first timing signal.
The blood flow waveform image generating module 140 is configured to perform a periodic waveform extraction process and a normalization process on the target timing signal that meets the signal synthesis condition when at least one target timing signal meets the signal synthesis condition, so as to obtain a target blood flow waveform image.
Illustratively, the timing signal generation module 120 includes a color value extraction sub-module and a first timing signal generation sub-module.
The color value extraction sub-module is used for extracting a first color value corresponding to an R channel, a second color value corresponding to a G channel and a third color value corresponding to a B channel of the image corresponding to each moment point.
The first timing signal generating sub-module is used for determining a first timing signal corresponding to the R channel according to the first color value, determining a first timing signal corresponding to the G channel according to the second color value, and determining a first timing signal corresponding to the B channel according to the third color value.
Illustratively, the timing signal processing module 130 includes a second timing signal generation sub-module, a target signal point setting sub-module, a first signal point determination sub-module, a second signal point determination sub-module, a signal point removal sub-module, and a target timing signal generation sub-module.
And the second time sequence signal generation sub-module is used for carrying out baseline removal processing on the first time sequence signal to obtain a second time sequence signal corresponding to the first time sequence signal.
And the target signal point setting sub-module is used for sequentially setting all signal points in the second time sequence signal as target signal points.
And the first signal point determining submodule is used for determining a first signal point and a second signal point which are adjacent to the target signal point.
The second signal point determining sub-module is used for determining that the target signal point is a noise signal point when the signal value of the target signal point is smaller than that of the first signal point and the signal value of the target signal point is smaller than that of the second signal point.
And the signal point removing sub-module is used for removing noise signal points in the second time sequence signal to obtain a third time sequence signal.
And the target time sequence signal generation sub-module is used for carrying out up-sampling processing on the third time sequence signal and carrying out filtering processing on the up-sampled third time sequence signal to obtain the target time sequence signal.
Illustratively, the blood flow waveform image generation module 140 includes a signal point number determination sub-module.
The signal point number determining submodule is used for determining a first number of signal points contained in the target time sequence signal and determining a second number of signal points contained in the first time sequence signal corresponding to the target time sequence signal.
The blood flow waveform image generating module 140 is further configured to determine that the target timing signal meets the signal synthesis condition when the difference between the first number and the second number is greater than or equal to the preset difference threshold, and perform periodic waveform extraction processing and normalization processing on the target timing signal that meets the signal synthesis condition, so as to obtain a target blood flow waveform image.
The blood flow waveform image generation module 140 also includes a first peak determination sub-module, a periodic signal point determination sub-module, and a normalization processing sub-module.
And the first peak value determining sub-module is used for determining that the signal value of the target time sequence signal meeting the signal synthesis condition is smaller than or equal to the signal value of the rest signal points as a first peak value.
The periodic signal point determining sub-module is used for taking a signal point corresponding to a process that a signal value rises from a first peak value to a second peak value and falls from the second peak value to the first peak value as a periodic signal point in the target time sequence signal, wherein the second peak value is larger than or equal to a signal value corresponding to any signal point in the target time sequence signal.
And the normalization processing sub-module is used for normalizing the signal value of each periodic signal point.
The blood flow waveform image generating module 140 is further configured to determine a target blood flow waveform image according to the normalized periodic signal points
The apparatus for generating a blood flow waveform image further includes an assignment processing module.
And the assignment processing module is used for determining the target time sequence signal corresponding to the B channel and carrying out assignment processing on the signal value of each signal point in the target time sequence signal corresponding to the B channel under the condition that the target time sequence signals do not meet the signal synthesis condition.
The blood flow waveform image generating module 140 is further configured to determine a target blood flow waveform image according to at least two target timing signals of the assigned target timing signal, the target timing signal corresponding to the R channel, the target timing signal corresponding to the G channel, and the target timing signal corresponding to the B channel.
The blood flow waveform image generation module 140 also illustratively includes a signal valid value determination sub-module.
And the signal effective value determining submodule is used for determining signal effective values corresponding to the target time sequence signals.
The blood flow waveform image generating module 140 is further configured to perform a periodic waveform extraction process and a normalization process according to a target timing signal with a signal effective value greater than or equal to a preset signal effective threshold value, so as to obtain a target blood flow waveform image.
The signal effective values are determined according to the number of signal points in the first time sequence signal corresponding to the target time sequence signal and the number of signal points in the target time sequence signal, and the signal effective values of at least two target time sequence signals are larger than or equal to a preset signal effective threshold.
Referring to fig. 6, fig. 6 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device may be a server or a terminal.
As shown in fig. 6, the computer device includes a processor, a memory, and a network interface connected by a system bus, wherein the memory may include a storage medium and an internal memory.
The storage medium may store an operating system and a computer program. The computer program comprises program instructions that, when executed, cause the processor to perform any of a number of methods for generating a blood flow waveform image.
The processor is used to provide computing and control capabilities to support the operation of the entire computer device.
The internal memory provides an environment for the execution of a computer program in the storage medium that, when executed by the processor, causes the processor to perform any of the methods for generating a blood flow waveform image.
The network interface is used for network communication such as transmitting assigned tasks and the like. It will be appreciated by those skilled in the art that the structure shown in FIG. 6 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
It should be appreciated that the processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein in one embodiment the processor is configured to run a computer program stored in the memory to implement the steps of:
acquiring a video acquired by a video acquisition device at a target hand position of a person to be detected, and carrying out frame dismantling processing on the video to obtain images corresponding to a plurality of time points;
performing RGB three-channel signal separation processing on each image according to the color value of each image to obtain respective corresponding first timing signals of the RGB three channels;
noise removing processing and up-sampling processing are carried out on each first timing sequence signal, and target timing sequence signals corresponding to each first timing sequence signal are obtained;
And under the condition that at least one target time sequence signal accords with the signal synthesis condition, performing periodic waveform extraction processing and normalization processing on the target time sequence signal which accords with the signal synthesis condition to obtain a target blood flow waveform image.
In one embodiment, when implementing RGB three-channel signal separation processing on each image according to the color value of each image, the processor is configured to implement:
extracting a first color value corresponding to an R channel, a second color value corresponding to a G channel and a third color value corresponding to a B channel of an image corresponding to each moment point;
and determining a first timing signal corresponding to the R channel according to the first color value, determining a first timing signal corresponding to the G channel according to the second color value, and determining a first timing signal corresponding to the B channel according to the third color value.
In one embodiment, when implementing noise removal processing and up-sampling processing on each first timing signal to obtain a target timing signal corresponding to each first timing signal, the processor is configured to implement:
performing baseline removal processing on the first time sequence signal to obtain a second time sequence signal corresponding to the first time sequence signal;
Sequentially setting all signal points in the second time sequence signal as target signal points;
determining a first signal point and a second signal point which are adjacent to the target signal point;
when the signal value of the target signal point is smaller than that of the first signal point and the signal value of the target signal point is smaller than that of the second signal point, determining the target signal point as a noise signal point;
removing noise signal points in the second time sequence signal to obtain a third time sequence signal;
and performing up-sampling processing on the third time sequence signal, and performing filtering processing on the up-sampled third time sequence signal to obtain a target time sequence signal.
In one embodiment, when the processor performs the periodic waveform extraction processing and the normalization processing on the target timing signal that meets the signal synthesis condition under the condition that at least one target timing signal meets the signal synthesis condition, the processor is configured to implement:
determining a first number of signal points contained in the target time sequence signal and determining a second number of signal points contained in the first time sequence signal corresponding to the target time sequence signal;
and under the condition that the difference value between the first number and the second number is larger than or equal to a preset difference value threshold value, determining that the target time sequence signal meets the signal synthesis condition, and performing periodic waveform extraction processing and normalization processing on the target time sequence signal meeting the signal synthesis condition to obtain a target blood flow waveform image.
In one embodiment, when the processor performs the periodic waveform extraction processing and the normalization processing on the target time sequence signal meeting the signal synthesis condition to obtain the target blood flow waveform image, the processor is configured to implement:
in a target time sequence signal conforming to a signal synthesis condition, determining that a signal value smaller than or equal to signal values of other signal points is a first peak value;
in the target time sequence signal, taking a signal point corresponding to a process that a signal value rises from a first peak value to a second peak value and falls from the second peak value to the first peak value as a periodic signal point, wherein the second peak value is larger than or equal to a signal value corresponding to any signal point in the target time sequence signal;
normalizing the signal value of each periodic signal point;
and determining a target blood flow waveform image according to the normalized periodic signal points.
In one embodiment, the processor, when implementing the method for generating a blood flow waveform image, is configured to implement:
under the condition that the target time sequence signals do not meet the signal synthesis conditions, determining a target time sequence signal corresponding to the B channel, and performing assignment processing on signal values of all signal points in the target time sequence signal corresponding to the B channel;
Determining a target blood flow waveform image according to at least two target time sequence signals of the target time sequence signals after assignment processing, the target time sequence signals corresponding to the R channel, the target time sequence signals corresponding to the G channel and the target time sequence signals corresponding to the B channel
In one embodiment, the processor is configured to, when implementing the determination of the target blood flow waveform image according to at least two target timing signals of the target timing signals after the assignment process, the target timing signal corresponding to the R channel, the target timing signal corresponding to the G channel, and the target timing signal corresponding to the B channel:
determining signal effective values corresponding to the target time sequence signals;
performing periodic waveform extraction and normalization according to a target time sequence signal with a signal effective value larger than or equal to a preset signal effective threshold value to obtain a target blood flow waveform image;
the signal effective values are determined according to the number of signal points in the first time sequence signal corresponding to the target time sequence signal and the number of signal points in the target time sequence signal, and the signal effective values of at least two target time sequence signals are larger than or equal to a preset signal effective threshold.
It should be noted that, for convenience and brevity of description, the specific working process of the generation of the blood flow waveform image may refer to the corresponding process in the embodiment of the generation control method of the blood flow waveform image, which is not described herein.
The embodiment of the application also provides a computer readable storage medium, and a computer program is stored on the computer readable storage medium, wherein the computer program comprises program instructions, and the method implemented by the program instructions when executed can refer to various embodiments of the method for generating the blood flow waveform image.
The computer readable storage medium may be an internal storage unit of the computer device of the foregoing embodiment, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of a computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device.
It is to be understood that the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should also be understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. While the application has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the application. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims (10)

1. A method for generating a blood flow waveform image, comprising:
acquiring a video acquired by a video acquisition device at a target hand position of a person to be detected, and carrying out frame splitting treatment on the video to obtain images corresponding to a plurality of time points;
performing RGB three-channel signal separation processing on each image according to the color value of each image to obtain respective corresponding first timing signals of the RGB three channels;
noise removing processing and up-sampling processing are carried out on each first time sequence signal, and target time sequence signals corresponding to each first time sequence signal are obtained;
and under the condition that at least one target time sequence signal accords with the signal synthesis condition, carrying out periodic waveform extraction processing and normalization processing on the target time sequence signal which accords with the signal synthesis condition to obtain a target blood flow waveform image.
2. The method for generating a blood flow waveform image according to claim 1, wherein the performing RGB three-channel signal separation processing on each image according to the color value of each image to obtain the first timing signal corresponding to each RGB three channel signal comprises:
extracting a first color value corresponding to an R channel, a second color value corresponding to a G channel and a third color value corresponding to a B channel of an image corresponding to each moment point;
determining a first timing signal corresponding to the R channel according to the first color value, determining a first timing signal corresponding to the G channel according to the second color value, and determining a first timing signal corresponding to the B channel according to the third color value.
3. The method of generating a blood flow waveform image according to claim 1, wherein performing noise removal processing and up-sampling processing on each of the first timing signals to obtain a target timing signal corresponding to each of the first timing signals comprises:
performing baseline removal processing on the first time sequence signal to obtain a second time sequence signal corresponding to the first time sequence signal;
sequentially setting all signal points in the second time sequence signal as target signal points;
Determining a first signal point and a second signal point adjacent to the target signal point;
when the signal value of the target signal point is smaller than the signal value of the first signal point and the signal value of the target signal point is smaller than the signal value of the second signal point, determining that the target signal point is a noise signal point;
removing noise signal points in the second time sequence signal to obtain a third time sequence signal;
and performing up-sampling processing on the third time sequence signal, and performing filtering processing on the up-sampled third time sequence signal to obtain a target time sequence signal.
4. The method for generating a blood flow waveform image according to any one of claims 1 to 3, wherein, in the case where at least one of the target time series signals meets a signal synthesis condition, performing a periodic waveform extraction process and a normalization process on the target time series signal meeting the signal synthesis condition to obtain the target blood flow waveform image, the method comprising:
determining a first number of signal points contained in the target time sequence signal, and determining a second number of signal points contained in a first time sequence signal corresponding to the target time sequence signal;
and under the condition that the difference value between the first number and the second number is larger than or equal to a preset difference value threshold value, determining that the target time sequence signal meets the signal synthesis condition, and performing periodic waveform extraction processing and normalization processing on the target time sequence signal meeting the signal synthesis condition to obtain a target blood flow waveform image.
5. The method for generating a blood flow waveform image as set forth in claim 4, wherein the performing a periodic waveform extraction process and a normalization process on the target time sequence signal conforming to the signal synthesis condition to obtain the target blood flow waveform image includes:
in the target time sequence signal conforming to the signal synthesis condition, determining that the signal value is smaller than or equal to the signal value of the rest signal points as a first peak value;
in the target time sequence signal, taking a signal point corresponding to a process that a signal value rises from the first peak value to a second peak value and falls from the second peak value to the first peak value as a periodic signal point, wherein the second peak value is larger than or equal to a signal value corresponding to any signal point in the target time sequence signal;
normalizing the signal value of each periodic signal point;
and determining the target blood flow waveform image according to the normalized periodic signal points.
6. A method of generating a blood flow waveform image as claimed in any one of claims 1 to 3, wherein the method further comprises:
under the condition that the target time sequence signals do not meet the signal synthesis conditions, determining a target time sequence signal corresponding to a B channel, and performing assignment processing on signal values of all signal points in the target time sequence signal corresponding to the B channel;
And determining a target blood flow waveform image according to at least two target time sequence signals in the target time sequence signals after assignment processing, the target time sequence signals corresponding to the R channel, the target time sequence signals corresponding to the G channel and the target time sequence signals corresponding to the B channel.
7. The method of generating a blood flow waveform image according to claim 6, wherein determining the target blood flow waveform image from at least two of the assigned target timing signal, the target timing signal corresponding to the R channel, the target timing signal corresponding to the G channel, and the target timing signal corresponding to the B channel comprises:
determining signal effective values corresponding to the target time sequence signals;
performing periodic waveform extraction and normalization according to a target time sequence signal with a signal effective value larger than or equal to a preset signal effective threshold value to obtain a target blood flow waveform image;
the signal effective value is determined according to the number of signal points in the first time sequence signal corresponding to the target time sequence signal and the number of signal points in the target time sequence signal, and the signal effective value of at least two target time sequence signals is larger than or equal to a preset signal effective threshold.
8. A blood flow waveform image generating apparatus, comprising:
the image acquisition module is used for acquiring videos acquired by the video acquisition device at the target hand position of the person to be detected, and carrying out frame dismantling processing on the videos to obtain images corresponding to a plurality of time points;
the time sequence signal generation module is used for carrying out RGB three-channel signal separation processing on each image according to the color value of each image to obtain first time sequence signals corresponding to the RGB three channels;
the time sequence signal processing module is used for carrying out noise removal processing and up-sampling processing on each first time sequence signal to obtain a target time sequence signal corresponding to each first time sequence signal;
and the blood flow waveform image generation module is used for carrying out periodic waveform extraction processing and normalization processing on the target time sequence signals conforming to the signal synthesis conditions under the condition that at least one target time sequence signal conforms to the signal synthesis conditions, so as to obtain a target blood flow waveform image.
9. A computer device comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program when executed by the processor performs the steps of the method of generating a blood flow waveform image as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the steps of the method for generating a blood flow waveform image according to any one of claims 1 to 7.
CN202310526698.XA 2023-05-10 2023-05-10 Method, device, equipment and storage medium for generating blood flow waveform image Pending CN116580336A (en)

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