Wavelet Signal Processing of Physiologic Waveforms
نویسندگان
چکیده
Many physiological signals may be described either as isolated pulses or as quasi-periodic sequences of isolated pulses. Wavelets are a powerful tool for the representation and analysis of such physiologic waveforms because a wavelet has finite duration (compact support) as contrasted with Fourier methods based on sinusoids of infinite duration. We show two examples of physiological signal processing using wavelet bases. The first example is compression of electrocardiogram (ECG) signals using an Associated Hermite wavelet basis and the second example shows removal of artifact from non-invasive blood pressure (NIBP) measurements.
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