CN113938622A - Blood pressure detection device based on asynchronously recorded video and storage medium - Google Patents
Blood pressure detection device based on asynchronously recorded video and storage medium Download PDFInfo
- Publication number
- CN113938622A CN113938622A CN202111532750.XA CN202111532750A CN113938622A CN 113938622 A CN113938622 A CN 113938622A CN 202111532750 A CN202111532750 A CN 202111532750A CN 113938622 A CN113938622 A CN 113938622A
- Authority
- CN
- China
- Prior art keywords
- video
- blood pressure
- recording
- pressure detection
- original
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/268—Signal distribution or switching
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
Abstract
The invention relates to the technical field of health management and discloses a blood pressure detection device based on an asynchronously recorded video and a storage medium. The blood pressure detection device includes: the video acquisition unit is used for acquiring at least two sections of original videos which are recorded asynchronously and recording time thereof, wherein different original videos are recorded aiming at different human body parts of the same target user, and the time difference of the recording time of each section of original video is within a preset range; the video conversion unit is used for converting all the asynchronously recorded original videos into target videos at the same recording time; and the video analysis unit is used for carrying out blood pressure detection according to the target video to obtain a blood pressure detection result. Because the embodiment of the invention realizes the support of asynchronously recording the video, the user can asynchronously record different videos for blood pressure detection, thereby improving the convenience of recording operation of the user; meanwhile, the method is suitable for the terminal users who do not support front-back synchronous shooting, the application range is improved, and the development difficulty and the development cost of developers are reduced.
Description
Technical Field
The invention relates to the technical field of health management, in particular to a blood pressure detection device based on an asynchronously recorded video and a storage medium.
Background
With the attention of people to the health problems, various technical schemes with health parameter detection also appear in the market, but most of the schemes need to be carried on specific equipment, and if a user wants to use the scheme, the user needs to wear the equipment on the body, so that the burden is additionally increased; or in a scenario where a specific device is installed, to obtain the health parameter detection result. The common problem of these solutions is that they are not convenient and convenient enough and are difficult to be applied to most users. In addition, most of health parameter detection software directly loaded on a mobile phone or other terminals needs to record two videos synchronously to realize the function of blood pressure detection, so that the operation difficulty is increased for users; for developers, the function is realized on the terminal which does not support front and back synchronous double shooting, so that the development difficulty and the development cost are increased.
Disclosure of Invention
The invention aims to provide a blood pressure detection device based on an asynchronously recorded video and a storage medium, so as to solve the problem that the blood pressure detection is not realized by asynchronously recorded video in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
a blood pressure detection device based on asynchronously recorded video comprises:
the video acquisition unit is used for acquiring at least two sections of asynchronously recorded original videos and recording time thereof, wherein different original videos are recorded aiming at different human body parts of the same target user, and the time difference of the recording time of each section of the original video is within a preset range;
the video conversion unit is used for converting all the asynchronously recorded original videos into target videos at the same recording time;
and the video analysis unit is used for carrying out blood pressure detection according to the target video to obtain a blood pressure detection result.
Optionally, the video conversion unit is specifically configured to:
comparing the recording time of each original video, determining the earliest recording starting time point as the recording starting time point of the same recording time, and determining the latest recording ending time point as the recording ending time point of the same recording time;
and predicting and complementing the content of the vacant time periods of the original videos by a machine learning method according to the earliest recording starting time point and the latest recording ending time point to obtain the target videos at the same recording time.
Optionally, the video conversion unit is specifically configured to:
comparing the recording time of each original video, determining the latest recording starting time point as the recording starting time point of the same recording time, and determining the earliest recording ending time point as the recording ending time point of the same recording time;
and cutting off the content of the redundant time periods of the original videos according to the latest recording starting time point and the earliest recording ending time point to obtain the target videos at the same recording time.
Optionally, the human body part comprises a face, a finger tip, a wrist, an arm, a lower limb and a neck.
Optionally, the system further includes a video auditing unit, configured to determine whether the target user in the original video is in a resting state before the video converting unit converts the original video into the target video, and if not, prompt that the original video does not meet the requirement.
Optionally, when the original video is a face video or a wrist video, the method for the video auditing unit to determine whether the target user in the original video is in a resting state includes:
decomposing the original video, and extracting a plurality of single-frame pictures containing a first frame and a last frame;
carrying out similarity analysis on the multiple single-frame pictures, judging that the target user is in a resting state if the similarity is high, and otherwise, judging that the target user is not in the resting state;
when the original video is a finger-end video, the method for judging whether the target user in the original video is in a resting state by the video auditing unit comprises the following steps:
extracting pulse wave parameters from the fingertip video;
and judging whether the fluctuation range of the pulse wave parameters in the recording time of the finger-end video exceeds a preset range, if not, judging that the target user is in a resting state, and if so, judging that the target user is not in the resting state.
Optionally, the apparatus further includes a filtering unit, configured to perform filtering processing on the target video by using a filtering algorithm before the video analysis unit performs blood pressure detection according to the target video, so as to eliminate motion band interference.
Optionally, the video analysis unit is specifically configured to perform blood pressure detection according to the target video by using an imaging type photoplethysmography IPPG technology.
Optionally, the video acquisition unit includes a front camera and/or a rear camera.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring at least two sections of asynchronously recorded original videos and recording time thereof, wherein different original videos are recorded aiming at different human body parts of the same target user, and the time difference of the recording time of each section of the original video is within a preset range;
all the asynchronously recorded original videos are converted into target videos at the same recording time;
and carrying out blood pressure detection according to the target video to obtain a blood pressure detection result.
Compared with the prior art, the invention has the beneficial effects that:
the embodiment of the invention converts at least two sections of asynchronously recorded original videos into at least two corresponding sections of target videos at the same recording time, and then performs blood pressure detection based on the target videos according to the conventional technology. Due to the fact that the support of asynchronous video recording is achieved, a user can asynchronously record different videos for blood pressure detection, and the convenience of recording operation of the user is improved; meanwhile, the method is suitable for the terminal users who do not support front-back synchronous shooting, the application range is improved, and the development difficulty and the development cost of developers are reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a blood pressure detecting device according to an embodiment of the present invention.
Fig. 2 is a flowchart of a blood pressure detection method based on an asynchronously recorded video according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for converting an original video into a target video according to an embodiment of the present invention.
Fig. 4 is a flowchart of another method for converting an original video into a target video according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Because the existing blood pressure detection scheme only supports synchronous video recording and cannot realize the blood pressure detection function through asynchronous video recording, the inconvenience is caused to the user, and the problems of development difficulty and development cost increase are brought to the developer, so that, as shown in fig. 1, the embodiment of the invention provides a blood pressure detection device based on asynchronous video recording, which at least comprises: the device comprises a video acquisition unit for acquiring video signals, a video conversion unit for performing conversion processing on the video signals, and a video analysis unit for analyzing the video signals to obtain detection results.
Referring to fig. 2, a blood pressure detecting method based on an asynchronously recorded video according to an embodiment of the present invention includes:
The video acquisition unit comprises a front camera and/or a rear camera. Specifically, the at least two segments of the obtained original videos may be simultaneously derived from the front-facing camera or the rear-facing camera, or may be derived from the front-facing camera and the rear-facing camera respectively.
And 102, converting all the asynchronously recorded original videos into target videos at the same recording time by the video conversion unit.
And 103, the video analysis unit performs blood pressure detection according to the target video to obtain a blood pressure detection result.
It should be noted that, the asynchronous recording means that the recording time of each original video may not coincide completely or may partially coincide. In order to ensure the realizability and accuracy of the subsequent operations when the recording times are not coincident, the embodiment of the present invention needs to control the time difference between two original videos within a certain range, for example, 2S. Of course, the design value of the preset range may be selected according to practical experience, the technical level of the subsequent prediction and complement operations, the precision requirement, and the like, and the embodiment of the present invention is not particularly limited thereto.
In order to realize blood pressure detection, the obtained original video is recorded aiming at different human body parts, wherein the human body parts can specifically comprise a face, a finger tip, a wrist, an arm, a lower limb or a neck. In practical application, the finger tip video and the face video are preferably selected, because the blood vessels of the fingers are rich in distribution and good in transmission, compared with other parts, the signal to noise ratio of the signals collected by the finger tip is high, and the finger tip video and the face video are the parts, which are most convenient to shoot, of the naked skin of a human body. And the face video is also convenient for the user to shoot and obtain.
In an alternative embodiment, in step 102, a method for converting all asynchronously recorded original videos into target videos at the same recording time by the video conversion unit is shown in fig. 3, and includes:
Based on the recording time of each original video, the recording starting time point and the recording ending time point of each original video can be determined; furthermore, by comparing all the recording start time points and all the recording end time points, the earliest recording start time point and the latest recording end time point can be determined.
In this step, since the recording start time and the recording end time of each original video may be different, the present embodiment performs the prediction complement processing on each original video by using the earliest recording start time point and the latest recording end time point as the front and rear time cut points, so as to uniformly adjust the recording time of all the original videos to a uniform range, so that the blood pressure detection can be subsequently realized according to the conventional video processing technology.
In another alternative embodiment, in step 102, a method for converting all asynchronously recorded original videos into target videos at the same recording time by the video conversion unit is shown in fig. 4, and includes:
And step 302, respectively cutting off the content of redundant time periods of each original video according to the latest recording starting time point and the earliest recording ending time point to obtain the target video at the same recording time.
With regard to the above two embodiments, it can be understood that the former embodiment is applicable to both cases where the recording times are completely misaligned and partially misaligned, and the latter embodiment is only applicable to the case where the recording times are partially misaligned because a plurality of original videos are clipped to the same recording time range by a video clipping method.
Of course, for the case of partial recording time coincidence, a combination of the prediction complementing mode and the cropping mode can be selected. For example, the recording time of the target video is determined according to the earliest recording start time point and the earliest recording end time point, and for an original video having both a vacant time period and an excess time period, the content of the vacant time period can be predicted and complemented, and the content of the excess time period can be cut off.
In order to ensure the accuracy of the detection result, the target user in the original video is preferably in a resting state, which means that the target user keeps a substantially stationary state during the recording process of the original video. Therefore, in the embodiment of the present invention, the video auditing unit is further included, and is configured to determine whether a target user in the original video is in a resting state before the video converting unit converts the original video into the target video, and if not, prompt that the original video does not meet the requirement.
Further, when the original video is a face video or a wrist video, the method for judging whether the target user in the original video is in a resting state by a video auditing unit includes: decomposing the original video, and extracting a plurality of single-frame pictures containing a first frame and a last frame; and performing similarity analysis on the plurality of single-frame pictures, judging that the target user is in a resting state if the similarity is high, and otherwise, judging that the target user is not in the resting state.
When the original video is a finger-end video, a video auditing unit judges whether the target user in the original video is in a resting state, and the method comprises the following steps: extracting pulse wave parameters from the fingertip video; and judging whether the fluctuation range of the pulse wave parameters in the recording time of the finger-end video exceeds a preset range, if not, judging that the target user is in a resting state, and if so, judging that the target user is not in the resting state.
In addition, in order to further improve the accuracy of the detection result, the blood pressure detection device provided in the embodiment of the present invention further includes a filtering unit, configured to perform filtering processing on the target video by using a filtering algorithm before the video analysis unit performs blood pressure detection on the two segments of target video, so as to eliminate motion band interference.
In step 103, the video analysis unit may specifically use IPPG (imaging photoplethysmography) technology to perform blood pressure detection according to the target video. As for the specific implementation of IPPG technology, the embodiments of the present invention are not described in detail since it is a known technology.
The blood pressure detection device provided by the embodiment of the invention can be equipment in any scene, such as a smart phone, a tablet computer, a smart watch, a server, independent health detection equipment and the like.
It will be understood by those skilled in the art that all or part of the steps of the above-mentioned blood pressure detection method based on the asynchronously recorded video may be implemented by instructions, or by instructions controlling related hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.
To this end, an embodiment of the present invention further provides a storage medium, where a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps in the blood pressure detection method based on the asynchronously recorded video according to the embodiment of the present invention.
Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A blood pressure detection device based on asynchronously recorded video, comprising:
the video acquisition unit is used for acquiring at least two sections of asynchronously recorded original videos and recording time thereof, wherein different original videos are recorded aiming at different human body parts of the same target user, and the time difference of the recording time of each section of the original video is within a preset range;
the video conversion unit is used for converting all the asynchronously recorded original videos into target videos at the same recording time;
and the video analysis unit is used for carrying out blood pressure detection according to the target video to obtain a blood pressure detection result.
2. The blood pressure detection device based on the asynchronously recorded video of claim 1, wherein the video conversion unit is specifically configured to:
comparing the recording time of each original video, determining the earliest recording starting time point as the recording starting time point of the same recording time, and determining the latest recording ending time point as the recording ending time point of the same recording time;
and predicting and complementing the content of the vacant time periods of the original videos by a machine learning method according to the earliest recording starting time point and the latest recording ending time point to obtain the target videos at the same recording time.
3. The blood pressure detection device based on the asynchronously recorded video of claim 1, wherein the video conversion unit is specifically configured to:
comparing the recording time of each original video, determining the latest recording starting time point as the recording starting time point of the same recording time, and determining the earliest recording ending time point as the recording ending time point of the same recording time;
and cutting off the content of the redundant time periods of the original videos according to the latest recording starting time point and the earliest recording ending time point to obtain the target videos at the same recording time.
4. The asynchronously recorded video-based blood pressure detection device of claim 1, wherein the body part comprises a face, a finger tip, a wrist, an arm, a lower limb, and a neck.
5. The device for detecting blood pressure based on asynchronously recorded video of claim 1, further comprising a video auditing unit, configured to determine whether the target user in the original video is in a resting state before the video converting unit converts the original video into a target video, and if not, prompt that the original video is not in compliance with the requirements.
6. The blood pressure detection device based on the asynchronously recorded video, as recited in claim 5, wherein when the original video is a facial video or a wrist video, the method for the video auditing unit to determine whether the target user in the original video is in a resting state includes:
decomposing the original video, and extracting a plurality of single-frame pictures containing a first frame and a last frame;
carrying out similarity analysis on the multiple single-frame pictures, judging that the target user is in a resting state if the similarity is high, and otherwise, judging that the target user is not in the resting state;
when the original video is a finger-end video, the method for judging whether the target user in the original video is in a resting state by the video auditing unit comprises the following steps:
extracting pulse wave parameters from the fingertip video;
and judging whether the fluctuation range of the pulse wave parameters in the recording time of the finger-end video exceeds a preset range, if not, judging that the target user is in a resting state, and if so, judging that the target user is not in the resting state.
7. The device for detecting blood pressure based on asynchronously recorded video of claim 1, further comprising a filtering unit, configured to perform filtering processing on the target video by using a filtering algorithm before the video analysis unit performs blood pressure detection according to the target video, so as to eliminate motion band interference.
8. The asynchronously recorded video based blood pressure detection apparatus according to claim 1, wherein the video analysis unit is specifically configured to perform blood pressure detection based on the target video by using an imaging photoplethysmography IPPG technique.
9. The asynchronously recorded video based blood pressure detection device of claim 1, wherein the video capture unit comprises a front-facing camera and/or a rear-facing camera.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of:
acquiring at least two sections of asynchronously recorded original videos and recording time thereof, wherein different original videos are recorded aiming at different human body parts of the same target user, and the time difference of the recording time of each section of the original video is within a preset range;
all the asynchronously recorded original videos are converted into target videos at the same recording time;
and carrying out blood pressure detection according to the target video to obtain a blood pressure detection result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111532750.XA CN113938622B (en) | 2021-12-15 | 2021-12-15 | Blood pressure detection device based on asynchronously recorded video and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111532750.XA CN113938622B (en) | 2021-12-15 | 2021-12-15 | Blood pressure detection device based on asynchronously recorded video and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113938622A true CN113938622A (en) | 2022-01-14 |
| CN113938622B CN113938622B (en) | 2022-02-15 |
Family
ID=79289139
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111532750.XA Active CN113938622B (en) | 2021-12-15 | 2021-12-15 | Blood pressure detection device based on asynchronously recorded video and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113938622B (en) |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002135270A (en) * | 2000-10-26 | 2002-05-10 | Sharp Corp | Data asynchronous transfer system |
| US20140133836A1 (en) * | 2006-07-20 | 2014-05-15 | Panopto, Inc. | Systems and Methods for Generation of Composite Video |
| DE102013001553A1 (en) * | 2013-01-30 | 2014-07-31 | Holger Redtel | Method for determining vital parameters of human body by device, particularly smart device, involves recording sequence of individual image data of single limited area of skin of human body by optical recording unit |
| CN104537645A (en) * | 2014-12-15 | 2015-04-22 | 北京工业大学 | ROI mark point matching method based on intravascular unltrasound image |
| CN106343986A (en) * | 2016-09-20 | 2017-01-25 | 浙江大学 | Ambulatory blood pressure non-contact monitoring device based on camera |
| CN106709967A (en) * | 2016-12-23 | 2017-05-24 | 天津恒宇医疗科技有限公司 | Endoscopic imaging algorithm and control system |
| CN107529221A (en) * | 2017-08-22 | 2017-12-29 | 上海兴容信息技术有限公司 | A kind of follow-up analysis system and method for combination video monitoring and Wi Fi positioning |
| CN107592460A (en) * | 2017-09-25 | 2018-01-16 | 努比亚技术有限公司 | A kind of video recording method, equipment and computer-readable storage medium |
| CN108683852A (en) * | 2018-05-23 | 2018-10-19 | 努比亚技术有限公司 | A kind of video recording method, terminal and computer readable storage medium |
| CN109698965A (en) * | 2017-10-20 | 2019-04-30 | 株洲中车时代电气股份有限公司 | A kind of audio video synchronization playback method, device, equipment and computer storage medium |
| CN110611784A (en) * | 2019-10-17 | 2019-12-24 | 江苏省水利科学研究院 | Shooting storage method of multi-camera recorder capable of preventing tampering |
| CN111787286A (en) * | 2020-07-22 | 2020-10-16 | 杭州当虹科技股份有限公司 | Method for realizing multichannel synchronous recording system |
| CN111993442A (en) * | 2020-09-02 | 2020-11-27 | 厦门理工学院 | High-intelligence general medical practice robot based on big data |
| CN112399227A (en) * | 2021-01-19 | 2021-02-23 | 南京新广云信息科技有限公司 | Method and system for simultaneously and synchronously playing multiple paths of medical images and time axis |
| CN112890792A (en) * | 2020-11-25 | 2021-06-04 | 合肥工业大学 | Cloud computing cardiovascular health monitoring system and method based on network camera |
| CN113288092A (en) * | 2021-05-06 | 2021-08-24 | 福建师范大学 | Blood pressure detection method and terminal for extracting pulse wave based on video |
| CN113786179A (en) * | 2021-09-27 | 2021-12-14 | 北方工业大学 | Human body blood pressure real-time measuring method and device with infrared and optical image fusion |
-
2021
- 2021-12-15 CN CN202111532750.XA patent/CN113938622B/en active Active
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002135270A (en) * | 2000-10-26 | 2002-05-10 | Sharp Corp | Data asynchronous transfer system |
| US20140133836A1 (en) * | 2006-07-20 | 2014-05-15 | Panopto, Inc. | Systems and Methods for Generation of Composite Video |
| DE102013001553A1 (en) * | 2013-01-30 | 2014-07-31 | Holger Redtel | Method for determining vital parameters of human body by device, particularly smart device, involves recording sequence of individual image data of single limited area of skin of human body by optical recording unit |
| CN104537645A (en) * | 2014-12-15 | 2015-04-22 | 北京工业大学 | ROI mark point matching method based on intravascular unltrasound image |
| CN106343986A (en) * | 2016-09-20 | 2017-01-25 | 浙江大学 | Ambulatory blood pressure non-contact monitoring device based on camera |
| CN106709967A (en) * | 2016-12-23 | 2017-05-24 | 天津恒宇医疗科技有限公司 | Endoscopic imaging algorithm and control system |
| CN107529221A (en) * | 2017-08-22 | 2017-12-29 | 上海兴容信息技术有限公司 | A kind of follow-up analysis system and method for combination video monitoring and Wi Fi positioning |
| CN107592460A (en) * | 2017-09-25 | 2018-01-16 | 努比亚技术有限公司 | A kind of video recording method, equipment and computer-readable storage medium |
| CN109698965A (en) * | 2017-10-20 | 2019-04-30 | 株洲中车时代电气股份有限公司 | A kind of audio video synchronization playback method, device, equipment and computer storage medium |
| CN108683852A (en) * | 2018-05-23 | 2018-10-19 | 努比亚技术有限公司 | A kind of video recording method, terminal and computer readable storage medium |
| CN110611784A (en) * | 2019-10-17 | 2019-12-24 | 江苏省水利科学研究院 | Shooting storage method of multi-camera recorder capable of preventing tampering |
| CN111787286A (en) * | 2020-07-22 | 2020-10-16 | 杭州当虹科技股份有限公司 | Method for realizing multichannel synchronous recording system |
| CN111993442A (en) * | 2020-09-02 | 2020-11-27 | 厦门理工学院 | High-intelligence general medical practice robot based on big data |
| CN112890792A (en) * | 2020-11-25 | 2021-06-04 | 合肥工业大学 | Cloud computing cardiovascular health monitoring system and method based on network camera |
| CN112399227A (en) * | 2021-01-19 | 2021-02-23 | 南京新广云信息科技有限公司 | Method and system for simultaneously and synchronously playing multiple paths of medical images and time axis |
| CN113288092A (en) * | 2021-05-06 | 2021-08-24 | 福建师范大学 | Blood pressure detection method and terminal for extracting pulse wave based on video |
| CN113786179A (en) * | 2021-09-27 | 2021-12-14 | 北方工业大学 | Human body blood pressure real-time measuring method and device with infrared and optical image fusion |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113938622B (en) | 2022-02-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108898118B (en) | Video data processing method, device and storage medium | |
| CN105049917B (en) | The method and apparatus of recording audio/video synchronized timestamp | |
| CN108616775A (en) | The method, apparatus of intelligence sectional drawing, storage medium and intelligent terminal when video playing | |
| CN106258009A (en) | A kind of gather the method for fingerprint, fingerprint capturer and terminal | |
| CN112073641B (en) | Image shooting method and device, mobile terminal and storage medium | |
| CN109005350A (en) | Image repeats shooting reminding method, device, storage medium and mobile terminal | |
| CN110703976A (en) | Clipping method, electronic device, and computer-readable storage medium | |
| CN111768760A (en) | Multi-mode voice endpoint detection method and device | |
| CN114239717A (en) | Model training method, image processing method and device, electronic device and medium | |
| CN109413470B (en) | Method for determining image frame to be detected and terminal equipment | |
| CN107452381B (en) | Multimedia voice recognition device and method | |
| CN113938622B (en) | Blood pressure detection device based on asynchronously recorded video and storage medium | |
| CN114286976A (en) | Game screen recording method and device and computer readable storage medium | |
| CN115862081A (en) | Image acquisition method, device, equipment and computer readable storage medium | |
| CN108960213A (en) | Method for tracking target, device, storage medium and terminal | |
| CN113542606B (en) | Shooting control method, shooting control device, electronic equipment and storage medium | |
| US11875084B2 (en) | Systems and methods for displaying subjects of an audio portion of content and searching for content related to a subject of the audio portion | |
| US20220101871A1 (en) | Live streaming control method and apparatus, live streaming device, and storage medium | |
| US10999647B2 (en) | Systems and methods for displaying subjects of a video portion of content and searching for content related to a subject of the video portion | |
| CN114071127A (en) | Live video delay testing method and device, storage medium and electronic equipment | |
| CN113438286A (en) | Information pushing method and device, electronic equipment and storage medium | |
| CN109040604A (en) | Shoot processing method, device, storage medium and the mobile terminal of image | |
| CN111627412A (en) | Audio frequency speed changing method, device, electronic equipment and computer readable storage medium | |
| CN116166127B (en) | Processing method and related device for machine side content information in interactive works | |
| CN108769559B (en) | Multimedia file synchronization method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |