Key result
An arterial pulse system using a complex B-spline mother wavelet algorithm successfully captured beat-to-beat variability, self-similarity, and quantifiable chaotic behavior in physiological signals.
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Enables quantification of pulse chaos and variability; leaves open clinical validation for diagnostic use.
The study demonstrates a novel signal processing method to extract physiological properties and chaotic behavior from arterial pulse waveforms for traditional Indian medicine diagnosis.
Joshi et al. (2007) studied Pulse diagnosis in Ayurveda. Arterial pulse system and feature detecting methods was evaluated on Physiological properties, beat-to-beat variability, self-similarity, and chaotic behavior. An arterial pulse system using a complex B-spline mother wavelet algorithm successfully captured beat-to-beat variability, self-similarity, and quantifiable chaotic behavior in physiological signals.
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