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Evaluating the force of contraction of heart using ballistocardiogram

Publication Type : Conference Paper

Publisher : Institute of Electrical and Electronics Engineers Inc.,

Source : 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016, Institute of Electrical and Electronics Engineers Inc., p.225-229 (2016)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973517583&partnerID=40&md5=d01a4f5730c1583ee3bc3b29dc656f18

ISBN : 9781509013654

Keywords : Average force, Big data, ECG electrodes, Electrocardiography, Electromechanical film, EmFi, Health condition, Microbial fuel cells, physical activity, Regenerative fuel cells, wavelet, Wavelet denoising

Campus : Coimbatore

School : School of Engineering

Center : Electronics Communication and Instrumentation Forum (ECIF)

Department : Electrical and Electronics, Electronics and Communication

Year : 2016

Abstract : Ballistocardiogram (BCG) a promising technique that records the vibrational movement of the body related to heartbeat of a person. In this paper, a electromechanical film (Emfi) sensor and Electrocardiogram (ECG) set up was used to measure the force of contraction by which the health condition of a person was indexed. The experimental setup was carried out with a base Emfi sensor and a standard Lead I ECG electrode system on a flat chair. Wavelet denoising was performed for both ECG and BCG to evaluate the QRS complex of ECG relevant to IJK complex of BCG. Force of contraction is the amount of blood that heart can pump. IJ peak of BCG corresponds to force of contraction. Based on physical activity, 20 subjects were selected for experimental setup, 10 normal adult subjects and 10 athlets. From the BCG readings, the IJ amplitude level, which is related to the average force of contraction, was calculated as 3.98mV for normal subject and 6.21mV for athletic subject. © 2016 IEEE.

Cite this Research Publication : M. Ganesan and Sumesh, E. Pb, “Evaluating the force of contraction of heart using ballistocardiogram”, in 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016, 2016, pp. 225-229.

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