DocumentCode
1821091
Title
Arterial Pulse System: Modern Methods For Traditional Indian Medicine
Author
Joshi, A. ; Chandran, S. ; Jayaraman, V.K. ; Kulkarni, B.D.
Author_Institution
IIT Bombay, Mumbai
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
608
Lastpage
611
Abstract
Ayurveda is one of the most comprehensive healing systems in the world and has classified the body system according to the theory of Tridosha to overcome ailments. Diagnosis similar to the traditional pulse-based method requires a system of clean input signals, and extensive experiments for obtaining classification features. In this paper we briefly describe our system of generating pulse waveforms and use various feature detecting methods to show that an arterial pulse contains typical physiological properties. The beat-to-beat variability is captured using a complex B-spline mother wavelet based peak detection algorithm. We also capture - to our knowledge for the first time - the self- similarity in the physiological signal, and quantifiable chaotic behavior using recurrence plot structures.
Keywords
blood vessels; electrocardiography; fractals; haemodynamics; Ayurveda; ECG; arterial pulse system; beat-to-beat variability; complex B-spline mother wavelet; electrocardiography; multifractals; peak detection algorithm; physiological signals; pulse waveforms; pulse-base diagnosis; recurrence plot structures; self-similarity; traditional Indian medicine; Chaos; Computer vision; Electrocardiography; Fractals; Heart; Medical diagnostic imaging; Pulse generation; Pulse measurements; Transducers; Wrist; Multifractals; Peak Detection; Recurrence Plots; Variability; pulse-base diagnosis; Algorithms; Arteries; Diagnosis, Differential; Humans; India; Medicine, East Asian Traditional; Models, Cardiovascular; Pulse;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4352363
Filename
4352363
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