Abstract
Emanated from the idea of reinvestigating ancient medical system of Ayurveda—Traditional Indian Medicine (TIM), our recent study had shown significant applications of analysis of arterial pulse waveforms for non-invasive diagnosis of cardiovascular functions. Here we present results of further investigations analyzing the relation of pulse-characteristics with some clinical and pathological parameters and other features that are of diagnostic importance in Ayurveda.
Highlights
Pulse-examination for diagnosis/prognosis is an important component of traditional Chinese and Indian medical system
In the present paper we consider further study on analysis of spectral parameters of the radial arterial pulse and certain clinical, physiological and pathological features that are crucial to Ayurvedic method of diagnosis/prognosis of ailments/disorders of the mind-body system
With demarcation of signal frequency ranges as Low Frequency (LF): 0 to 0.1 Hz, Medium Frequency (MF): 0.1 to 0.25 Hz, High Frequency (HF): 0.25 to 0.5 Hz, we found some significant results on prominence of different peaks among subjects with Vaat, Pitt, and Kaph dominance (e.g. Figure 1)
Summary
Pulse-examination for diagnosis/prognosis is an important component of traditional Chinese and Indian medical system. Joshi view of our earlier work on Ayurvedic (TIM) concepts and computer simulations of pulse waveforms [3]-[5], we had developed a computational algorithm for automatic detection of specific types of morphological patterns in radial arterial pulse waveform using Fisher’s Ratio [6] and some geometrical parameters Validation of this state-of-the-art method on a large sample had shown high accuracy of prediction. In the present paper we consider further study on analysis of spectral parameters of the radial arterial pulse (hereafter mostly referred as pulse) and certain clinical, physiological and pathological features that are crucial to Ayurvedic method of diagnosis/prognosis of ailments/disorders of the mind-body system. Other qualitative features were provided in the data set as scaled integer weights on a scale 0 to 6 assigned by the Ayurvedic Physicians
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