Bensafia et al., 2020 - Google Patents
Blind separation of ECG signals from noisy signals affected by electrosurgical artifactsBensafia et al., 2020
- Document ID
- 11985648040491835792
- Author
- Bensafia K
- Mansour A
- Boudraa A
- Haddab S
- Ariès P
- Clement B
- Publication year
- Publication venue
- Analog Integrated Circuits and Signal Processing
External Links
Snippet
Electrocardiogram (ECG) signal monitoring is crucial in the operating room. During surgery, when using an electrosurgical unit (ESU), the ECG signal is corrupted by strong interference generated by the ESU, so-called Electrosurgical Artifacts (EAs). The objective of this study is …
- 238000000926 separation method 0 title description 5
Classifications
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- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/726—Details of waveform analysis characterised by using transforms using Wavelet transforms
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