Meng et al., 2022 - Google Patents
Biosignal Classification Based on Multi-Feature Multi-Dimensional WaveNet-LSTM Models.Meng et al., 2022
View PDF- Document ID
- 6784356033948146514
- Author
- Meng Y
- Lin L
- Qin Z
- Qu Y
- Qin Y
- Li Y
- Publication year
- Publication venue
- J. Commun.
External Links
Snippet
Electrocardiogram (ECG) effectively records the difference between body potentials generated during the physiological function of the heart. Both ECG and heartbeat sounds are viewed as powerful tools to diagnose abnormal arrhythmias. In the past, the accuracy of …
- 230000018109 developmental process 0 abstract description 7
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- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G—PHYSICS
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- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G06N5/022—Knowledge engineering, knowledge acquisition
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- G—PHYSICS
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- A—HUMAN NECESSITIES
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- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
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- G—PHYSICS
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