NDLI: Nadi Yantra: A Robust System Design to Capture the Signals from the Radial Artery for Non-Invasive Diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Abhinav Sareen, M. Kumar, M. Anand, S. Salhan, A. Santhosh, J.
Copyright Year	2008
Description	Author affiliation: Centre for Biomed. Eng.-IIT Delhi & AIIMS, Indian Inst. of Technol.-Delhi, New Delhi (Abhinav; Sareen, M.; Kumar, M.; Anand, S.)
Abstract	Radial artery is one of the most significant arteries for non-invasive diagnosis for ages. Ayurvedic and other alternative medical practitioners throughout the world have been diagnosing diseases and the organ at distress by feeling the palpations at three close yet precise positions of the radial artery. This paper presents a robust system Nadi $Yantra^{1}$ that monitors pressure variations from the points of interest for pulse diagnosis, thereby eliminating subjective errors and overcomes the limitation of mastering the art of pulse diagnosis with experience. This system comprises of three identical piezo based sensors, amplifier and filter circuit, a mechanical set-up and a data acquisition system (BioPac-150trade) which captures the signal from those three precise positions of the radial artery thereby giving an objective approach to the science of pulse diagnosis. Morphology of the waveforms obtained from our system concurs with standard physiological arterial signals. Our technique reveals subtle variations in real time that holds promise in quantitative assessment of pulse. Advances over the earlier systems are that Nadi Yantra allows recording for hours by an automated external pressure on the three positions thereby completely removing the potential for errors incurred when a person does the job of applying pressure. The locking mechanism significantly resists the motion artifacts as well. Repeatability, reproducibility and stability of the system has been verified. Signal processing techniques were applied to obtain morphological features such as amplitude, power spectral density, bandpower and spectral centroid to reflect variations in signals from the three channels. Data acquired from the system at three points gives unique information and can be used for disease diagnosis.
Starting Page	1387
Ending Page	1390
File Size	1440749
Page Count	4
File Format	PDF
ISBN	9781424417476
DOI	10.1109/ICBBE.2008.676
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mechanical sensors Art Filters Pulse amplifiers Robustness Sensor systems Biosensors Arteries Medical diagnostic imaging Diseases
Content Type	Text
Resource Type	Article

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