CN116226622A - Biomedical signal processing and analyzing system - Google Patents
Biomedical signal processing and analyzing system Download PDFInfo
- Publication number
- CN116226622A CN116226622A CN202310129242.XA CN202310129242A CN116226622A CN 116226622 A CN116226622 A CN 116226622A CN 202310129242 A CN202310129242 A CN 202310129242A CN 116226622 A CN116226622 A CN 116226622A
- Authority
- CN
- China
- Prior art keywords
- module
- signal
- dimensional
- signal processing
- processing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012545 processing Methods 0.000 title claims abstract description 92
- 230000008054 signal transmission Effects 0.000 claims abstract description 21
- 239000000126 substance Substances 0.000 claims abstract description 14
- 238000004458 analytical method Methods 0.000 claims description 25
- 238000004141 dimensional analysis Methods 0.000 claims description 14
- 230000005540 biological transmission Effects 0.000 claims description 10
- 230000009467 reduction Effects 0.000 claims description 9
- 238000003709 image segmentation Methods 0.000 claims description 7
- 238000007781 pre-processing Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 5
- 230000003287 optical effect Effects 0.000 claims description 5
- 230000000739 chaotic effect Effects 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000000034 method Methods 0.000 abstract description 3
- 230000000694 effects Effects 0.000 abstract description 2
- 230000008569 process Effects 0.000 abstract description 2
- 238000011084 recovery Methods 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 8
- 239000008280 blood Substances 0.000 description 2
- 210000004369 blood Anatomy 0.000 description 2
- 230000002349 favourable effect Effects 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 108010064719 Oxyhemoglobins Proteins 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 238000004939 coking Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
-
- 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
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Health & Medical Sciences (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention provides a biomedical signal processing and analyzing system, and relates to the technical field of medical signal processing. The biomedical signal processing and analyzing system comprises a signal acquisition module, wherein the signal acquisition module is connected with a lower computer, the lower computer is connected with a signal transmission module, the signal transmission module is connected with an upper computer, the upper computer is connected with a signal processing module and a signal analyzing module, the signal acquisition module comprises a magnetic signal module, an electric signal module, a physical signal module and a chemical signal module, and the magnetic signal module is connected with a magnetic resonance machine. By adopting a mode of dividing the signal into a one-dimensional signal and a two-dimensional signal and combining the one-dimensional processing module and the two-dimensional processing module to respectively restore the collected one-dimensional signal and two-dimensional signal, the system is ensured to effectively process data after receiving biomedical signals transmitted by a lower computer, the signal recovery effect of the system is improved, and the overall practicability of the system is improved.
Description
Technical Field
The invention relates to the technical field of medical signal processing, in particular to a biomedical signal processing and analyzing system.
Background
Biomedical signal processing is a research field of biomedical engineering, biomedical engineering is tightly combined through digital signal processing technology, detection and extraction of biomedical signal characteristics are achieved, application in clinic is achieved, knowledge of a human body in the medical field is deepened, when the existing biomedical signal is processed and analyzed, a biomedical signal processing and analyzing system is usually required to achieve a function of performing multiple processing on the acquired signal, however, when the existing system is used, signal acquisition is usually required to be performed through various medical instruments, signal transmission and processing are performed, image signals and data signals are processed in the same mode, poor system compatibility causes easy distortion of the signals in the transmission process, data damage is caused, and meanwhile, the overall transmission efficiency is low, and the practicability is poor.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a biomedical signal processing and analyzing system, which solves the problems that the existing system has no function of classifying and collecting various different signals when in use, and the signals are easy to damage and lose after being restored after being transmitted, and the whole practicability and the working efficiency are poor.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the biomedical signal processing and analyzing system comprises a signal acquisition module, wherein the signal acquisition module is connected with a lower computer, and the lower computer is connected with a signal transmission module;
the signal transmission module is connected with an upper computer, and the upper computer is connected with a signal processing module and a signal analysis module.
Preferably, the signal acquisition module comprises a magnetic signal module, an electric signal module, a physical signal module and a chemical signal module, wherein the magnetic signal module is connected with a magnetic resonance machine, the electric signal module is connected with a biological detection electrode, and the chemical signal module is connected with a chemical sensor.
Preferably, the physical signal module is connected with a physical sensor group, and the physical sensor group is connected with a mechanical quantity sensor, a thermal quantity sensor and an optical quantity sensor.
Preferably, the signal transmission module comprises a signal transmission component, and the signal transmission component is connected with a signal preprocessing module, a signal amplifying module, an A\D conversion module, a network connection module and a Bluetooth transmission module.
Preferably, the signal processing module comprises a signal preliminary processing module, and the signal preliminary processing module is connected with a one-dimensional processing module and a two-dimensional processing module.
Preferably, the one-dimensional processing module is connected with a feature marking module and a feature comparing module, and the feature marking module and the feature comparing module are connected with a feature extracting module.
Preferably, the two-dimensional processing module is connected with an image segmentation module and an image fitting module, and the image segmentation module and the image fitting module are connected with an image building module.
Preferably, the signal preliminary processing module comprises a signal noise reduction module, the signal noise reduction module is connected with a linear signal processing module and a nonlinear signal processing module, and the nonlinear signal processing module is connected with a chaotic signal processing module and a fractal signal processing module.
Preferably, the signal analysis module comprises a one-dimensional analysis module and a two-dimensional analysis module, wherein the one-dimensional analysis module is connected with a data comparison module, the two-dimensional analysis module is connected with an image comparison module, and the data comparison module and the image comparison module are connected with an analysis database.
Working principle: when the system is used, a user can acquire biomedical signals through the signal acquisition module, the user can acquire magnetocardiogram, magnetoencephalic and biomagnetic signals through the magnetic signal module, acquire electrocardio, electroencephalogram, myoelectricity and electrooculogram signals through the electric signal module, acquire heart sounds, pulses and ballistocardic shocks through the mechanical quantity sensor, acquire body temperature through the thermal quantity sensor, acquire photoelectric pulse and oxyhemoglobin saturation through the optical quantity sensor, acquire pH value, blood gas and respiratory gas signals of blood through the chemical sensor, uniformly transmit the signals to the lower computer after the data acquisition is completed, the lower computer carries out preprocessing on the signals through the signal preprocessing module, sorts and sorts the signals into electric signals, converts the electric signals into electric signals, amplifies the electric signals through the signal amplifier, avoiding transmission distortion, converting an electric signal into a digital signal through an A/D converter, mapping information data into a range of 0-1 through a neural network model of a network connection module, transmitting the data to an upper computer, reversely converting the signal into an initial signal after the upper computer receives the signal, carrying out noise reduction through a short-time Fourier transform method, dividing the signal into a one-dimensional signal and a two-dimensional signal according to signal types after the processing is finished, establishing a subset according to data types after the one-dimensional signal is subjected to noise reduction, establishing linear projection through a preset biomedical signal database, mapping the data of the biomedical signal database into a space of the subset for representation, expecting that the variance of the data in the projected database is maximum, simultaneously retaining the characteristics of more original data points by using less data, realizing the extraction of the data with biomedical characteristics, for two-dimensional data, each part of the image is segmented, each segmented area is guaranteed to have a characteristic part, the characteristic parts of the segmented image are subjected to coking, definition is improved, each picture is fitted again, image construction is achieved, the extracted one-dimensional data and the two-dimensional image after establishment are input into a signal analysis module, and a required biomedical signal analysis result is obtained through a comparison analysis database.
(III) beneficial effects
The invention provides a biomedical signal processing and analyzing system. The beneficial effects are as follows:
1. compared with the existing biomedical signal processing and analyzing system, the biomedical signal processing and analyzing system provided by the invention has the advantages that the mode of dividing the signals into one-dimensional signals and two-dimensional signals is adopted, the one-dimensional processing module and the two-dimensional processing module are combined to respectively carry out restoration processing on the collected one-dimensional signals and two-dimensional signals, the biomedical signal processing and analyzing system can effectively process data after receiving biomedical signals transmitted by a lower computer, the signal recovery effect of the system is improved, and the overall practicability of the system is improved.
2. Compared with the existing biomedical signal processing and analyzing system, the biomedical signal processing and analyzing system collects biomedical signals by adopting a plurality of groups of different sensors and electrodes, so that a user can collect a plurality of different data according to classification at the same time, the application range which can be covered when the system is used is enlarged, and the convenience and the working efficiency of the system are improved when the system is used.
Drawings
FIG. 1 is a schematic diagram of the system workflow of the present invention;
FIG. 2 is a schematic flow chart of a signal acquisition module according to the present invention;
fig. 3 is a schematic flow chart of a signal transmission module according to the present invention;
FIG. 4 is a schematic flow chart of a signal processing module according to the present invention;
FIG. 5 is a schematic flow chart of a signal preliminary processing module according to the present invention;
fig. 6 is a flow chart of the signal analysis module of the present invention.
The system comprises a signal acquisition module, a signal acquisition module and a control module, wherein 1; 2. a lower computer; 3. a signal transmission module; 4. an upper computer; 5. a signal processing module; 6. a signal analysis module; 101. a magnetic signal module; 102. a magnetic resonance machine; 103. an electrical signal module; 104. a biological detection electrode; 105. a physical signal module; 106. a physical sensor group; 107. a mechanical quantity sensor; 108. a thermal quantity sensor; 109. an optical quantity sensor; 110. a chemical signal module; 111. a chemical sensor; 301. a signal transmission assembly; 302. a signal preprocessing module; 303. a signal amplifying module; 304. a/D conversion module; 305. a network connection module; 306. a Bluetooth transmission module; 501. a signal preliminary processing module; 502. a feature marking module; 503. the characteristic comparison module; 504. a feature extraction module; 505. a two-dimensional processing module; 506. an image segmentation module; 507. an image fitting module; 508. an image building module; 509. a one-dimensional processing module; 601. a one-dimensional analysis module; 602. a data comparison module; 603. a two-dimensional analysis module; 604. an image comparison module; 605. analyzing a database; 50101. a signal noise reduction module; 50102. a linear signal processing module; 50103. a nonlinear signal processing module; 50104. a chaotic signal processing module; 50105. and the fractal signal processing module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples:
as shown in fig. 1-6, an embodiment of the present invention provides a biomedical signal processing and analyzing system, which includes a signal acquisition module 1, so as to facilitate implementing a basic information acquisition function of the system, wherein the signal acquisition module 1 is connected with a lower computer 2, and the lower computer 2 is connected with a signal transmission module 3, so as to facilitate implementing an information transmission function between structures of the system;
the signal transmission module 3 is connected with the upper computer 4, and the upper computer 4 is connected with the signal processing module 5 and the signal analysis module 6, which is beneficial to realizing the basic data processing and analysis function of a user through the system.
The signal acquisition module 1 comprises a magnetic signal module 101, an electric signal module 103, a physical signal module 105 and a chemical signal module 110, and is favorable for a user to acquire various signals through the system, the magnetic signal module 101 is connected with a magnetic resonance machine 102 to acquire biological magnetic signals, the electric signal module 103 is connected with a biological detection electrode 104 to acquire biological electric signals, the chemical signal module 110 is connected with a chemical sensor 111 to acquire biological chemical signals, the physical signal module 105 is connected with a physical sensor group 106, the physical sensor group 106 is connected with a mechanical quantity sensor 107, a thermal quantity sensor 108 and an optical quantity sensor 109, and is favorable for acquiring various physical signals of organisms.
The signal transmission module 3 comprises a signal transmission module 301, the signal transmission module 301 is connected with a signal preprocessing module 302, a signal amplifying module 303, an A\D conversion module 304, a network connection module 305 and a Bluetooth transmission module 306, which is beneficial to a user to preprocess collected signals through the system, convert the collected signals into electric signals and data signals for transmission, realize the transmission function through a network mode and a Bluetooth mode, the signal processing module 5 comprises a signal preliminary processing module 501, the signal preliminary processing module 501 is connected with a one-dimensional processing module 509 and a two-dimensional processing module 505, which is beneficial to the system to classify the signals, the one-dimensional processing module 509 is connected with a feature marking module 502 and a feature comparison module 503, the feature marking module 502 and the feature comparison module 503 are connected with a feature extraction module 504, which is beneficial to comparing the features of the signals, the two-dimensional processing module 505 is connected with an image segmentation module 506 and an image fitting module 507, the image segmentation module 506 and the image establishment module 508 are connected with an image fitting module 508, which is beneficial to the user to improve the definition of the two-dimensional images, and realize the image reconstruction.
The signal preliminary processing module 501 comprises a signal noise reduction module 50101, the signal noise reduction module 50101 is connected with a linear signal processing module 50102 and a nonlinear signal processing module 50103, the nonlinear signal processing module 50103 is connected with a chaotic signal processing module 50104 and a fractal signal processing module 50105, the signal preliminary processing module 501 is beneficial to further improving the processing function of the system for signals, the signal analysis module 6 comprises a one-dimensional analysis module 601 and a two-dimensional analysis module 603, the one-dimensional analysis module 601 is connected with a data comparison module 602, the two-dimensional analysis module 603 is connected with an image comparison module 604, and the data comparison module 602 and the image comparison module 604 are connected with an analysis database 605, so that a user can obtain the analysis result of biomedical signals through the system.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. Biomedical signal processing and analysis system, including signal acquisition module (1), its characterized in that: the signal acquisition module (1) is connected with a lower computer (2), and the lower computer (2) is connected with a signal transmission module (3);
the signal transmission module (3) is connected with an upper computer (4), and the upper computer (4) is connected with a signal processing module (5) and a signal analysis module (6).
2. A biomedical signal processing and analysis system according to claim 1, wherein: the signal acquisition module (1) comprises a magnetic signal module (101), an electric signal module (103), a physical signal module (105) and a chemical signal module (110), wherein the magnetic signal module (101) is connected with a magnetic resonance machine (102), the electric signal module (103) is connected with a biological detection electrode (104), and the chemical signal module (110) is connected with a chemical sensor (111).
3. A biomedical signal processing and analysis system according to claim 2, wherein: the physical signal module (105) is connected with a physical sensor group (106), and the physical sensor group (106) is connected with a mechanical quantity sensor (107), a thermal quantity sensor (108) and an optical quantity sensor (109).
4. A biomedical signal processing and analysis system according to claim 1, wherein: the signal transmission module (3) comprises a signal transmission component (301), and the signal transmission component (301) is connected with a signal preprocessing module (302), a signal amplifying module (303), an AD conversion module (304), a network connection module (305) and a Bluetooth transmission module (306).
5. A biomedical signal processing and analysis system according to claim 1, wherein: the signal processing module (5) comprises a signal preliminary processing module (501), and the signal preliminary processing module (501) is connected with a one-dimensional processing module (509) and a two-dimensional processing module (505).
6. A biomedical signal processing and analysis system according to claim 5, wherein: the one-dimensional processing module (509) is connected with the feature marking module (502) and the feature comparison module (503), and the feature marking module (502) and the feature comparison module (503) are connected with the feature extraction module (504).
7. A biomedical signal processing and analysis system according to claim 5, wherein: the two-dimensional processing module (505) is connected with the image segmentation module (506) and the image fitting module (507), and the image segmentation module (506) and the image fitting module (507) are connected with the image establishment module (508).
8. A biomedical signal processing and analysis system according to claim 5, wherein: the signal primary processing module (501) comprises a signal noise reduction module (50101), the signal noise reduction module (50101) is connected with a linear signal processing module (50102) and a nonlinear signal processing module (50103), and the nonlinear signal processing module (50103) is connected with a chaotic signal processing module (50104) and a fractal signal processing module (50105).
9. A biomedical signal processing and analysis system according to claim 1, wherein: the signal analysis module (6) comprises a one-dimensional analysis module (601) and a two-dimensional analysis module (603), wherein the one-dimensional analysis module (601) is connected with a data comparison module (602), the two-dimensional analysis module (603) is connected with an image comparison module (604), and the data comparison module (602) and the image comparison module (604) are connected with an analysis database (605).
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310129242.XA CN116226622A (en) | 2023-02-17 | 2023-02-17 | Biomedical signal processing and analyzing system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310129242.XA CN116226622A (en) | 2023-02-17 | 2023-02-17 | Biomedical signal processing and analyzing system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116226622A true CN116226622A (en) | 2023-06-06 |
Family
ID=86576325
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310129242.XA Pending CN116226622A (en) | 2023-02-17 | 2023-02-17 | Biomedical signal processing and analyzing system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116226622A (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103584919A (en) * | 2013-11-12 | 2014-02-19 | 中国科学院深圳先进技术研究院 | System and method for synchronously detecting multi-modal biological signals |
CN204744156U (en) * | 2015-07-17 | 2015-11-11 | 长春理工大学 | Guardianship device based on wireless biomedical sensing |
CN106777400A (en) * | 2017-03-03 | 2017-05-31 | 长春理工大学 | A kind of computer control system for being applied to medical image retrieval |
CN108022246A (en) * | 2017-12-21 | 2018-05-11 | 芜湖圣美孚科技有限公司 | A kind of preposition Image Automatic Segmentation system for lingual surface instrument |
-
2023
- 2023-02-17 CN CN202310129242.XA patent/CN116226622A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103584919A (en) * | 2013-11-12 | 2014-02-19 | 中国科学院深圳先进技术研究院 | System and method for synchronously detecting multi-modal biological signals |
CN204744156U (en) * | 2015-07-17 | 2015-11-11 | 长春理工大学 | Guardianship device based on wireless biomedical sensing |
CN106777400A (en) * | 2017-03-03 | 2017-05-31 | 长春理工大学 | A kind of computer control system for being applied to medical image retrieval |
CN108022246A (en) * | 2017-12-21 | 2018-05-11 | 芜湖圣美孚科技有限公司 | A kind of preposition Image Automatic Segmentation system for lingual surface instrument |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107203692B (en) | Electrocardio data digital signal processing method based on deep convolutional neural network | |
CN112244873B (en) | Electroencephalogram space-time feature learning and emotion classification method based on hybrid neural network | |
CN109009102B (en) | Electroencephalogram deep learning-based auxiliary diagnosis method and system | |
CN113397555A (en) | Arrhythmia classification algorithm of C-LSTM for physiological parameter monitoring | |
CN110151203B (en) | Fatigue driving identification method based on multistage avalanche convolution recursive network EEG analysis | |
CN109259756B (en) | ECG signal processing method based on secondary neural network of unbalanced training | |
CN113057648A (en) | ECG signal classification method based on composite LSTM structure | |
CN109508755B (en) | Psychological assessment method based on image cognition | |
CN112528819A (en) | P300 electroencephalogram signal classification method based on convolutional neural network | |
CN112370015A (en) | Physiological signal quality evaluation method based on gram angular field | |
CN113116300A (en) | Physiological signal classification method based on model fusion | |
CN108470182B (en) | Brain-computer interface method for enhancing and identifying asymmetric electroencephalogram characteristics | |
CN110537907B (en) | Electrocardiosignal compression and identification method based on singular value decomposition | |
CN112869717A (en) | Pulse feature recognition and classification system and method based on BL-CNN | |
CN113331845A (en) | Electroencephalogram signal feature extraction and accuracy discrimination method based on continuous coherence | |
CN112932504B (en) | Dipole imaging and identifying method | |
CN115414050A (en) | EEG brain network maximum clique detection method and system for realizing emotion recognition | |
CN117582235A (en) | Electrocardiosignal classification method based on CNN-LSTM model | |
CN117612710A (en) | Medical diagnosis auxiliary system based on electroencephalogram signals and artificial intelligence classification | |
CN112336369B (en) | Coronary heart disease risk index evaluation system of multichannel heart sound signals | |
CN116758619B (en) | Facial video-based emotion classification method, system, storage medium and equipment | |
CN111543983B (en) | Electroencephalogram signal channel selection method based on neural network | |
CN106843509B (en) | Brain-computer interface system | |
Tabassum et al. | Numerical data extraction from ECG paper recording using image processing technique | |
CN113069124A (en) | Electrocardio monitoring method based on CNN-ET model |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20230606 |