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Biological signal analysis by independent component analysis using complex wavelet transform. (English) Zbl 1193.94032

Summary: Independent component analysis (ICA) is a useful method for blind source separation of two or more signals. We have previously proposed a new method combining ICA with the complex discrete wavelet transform (CDWT), in which voice and noise signals were separated using a new method. At that time, we used a simulated signal. In this study, we analyze measured biological signals by using a new method, and discuss its effectiveness. As an experiment, we try to separate an electromyogram (EMG) signal from an electrocardiogram (ECG) signal.

MSC:

94A12 Signal theory (characterization, reconstruction, filtering, etc.)
65T60 Numerical methods for wavelets
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