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dc.contributor.authorJOSHI, A-
dc.contributor.authorCHANDRAN, S-
dc.contributor.authorJAYARAMAN, VK-
dc.contributor.authorKULKARNI, BD-
dc.date.accessioned2011-10-24T19:26:45Z-
dc.date.accessioned2011-12-15T09:11:43Z-
dc.date.available2011-10-24T19:26:45Z-
dc.date.available2011-12-15T09:11:43Z-
dc.date.issued2007-
dc.identifier.citation2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16,608-611en_US
dc.identifier.isbn978-1-4244-0787-3-
dc.identifier.issn1094-687X-
dc.identifier.urihttp://dx.doi.org/10.1109/IEMBS.2007.4352363-
dc.identifier.urihttp://dspace.library.iitb.ac.in/xmlui/handle/10054/15504-
dc.identifier.urihttp://hdl.handle.net/100/2246-
dc.description.abstractAyurveda 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.en_US
dc.language.isoEnglishen_US
dc.publisherIEEE-
dc.source29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society,Lyon, FRANCE,AUG 22-26, 2007-
dc.subject.otherPulse-Base Diagnosis-
dc.subject.otherPeak Detection-
dc.subject.otherVariability-
dc.subject.otherMultifractals-
dc.subject.otherRecurrence Plots-
dc.titleArterial pulse system : modern methods for traditional Indian medicineen_US
dc.typeProceedings Paperen_US
Appears in Collections:Proceedings papers

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