Abdelazez et al., 2022 - Google Patents
Signal quality assessment of compressively sensed electrocardiogramAbdelazez et al., 2022
- Document ID
- 7673339893641514205
- Author
- Abdelazez M
- Rajan S
- Chan A
- Publication year
- Publication venue
- IEEE Transactions on Biomedical Engineering
External Links
Snippet
Objective: Develop a signal quality index (SQI) to determine the quality of compressively sensed electrocardiogram (ECG) by estimating the signal-to-noise ratio (SNR). Methods: The SQI used random forests, with the ratio of the standard deviations of an ECG segment …
- 238000001303 quality assessment method 0 title description 6
Classifications
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- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0402—Electrocardiography, i.e. ECG
- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
- A61B5/046—Detecting fibrillation
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- A61B5/726—Details of waveform analysis characterised by using transforms using Wavelet transforms
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- A61B5/0402—Electrocardiography, i.e. ECG
- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
- A61B5/0456—Detecting R peaks, e.g. for synchronising diagnostic apparatus
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