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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Paper Title: Feature Extraction of Ballistocardiogram Signal
Authors Name: Nitesh , Manjula B. M.
Unique Id: IJSDR1607030
Published In: Volume 1 Issue 7, July-2016
Abstract: Cardiac arrest and other heart related diseases have become common in today’s modern life style. It is at most important to detect the abnormalities before the damage is caused. Ballistocardiogram (BCG) is a non-invasive method used to detect the health of heart. Ballistocardiography (BCG) is a plot of repetitive motion of human body arising from the ejection of blood into the blood vessel. BCG is used to detect the Cardiac Output which is defined as “The amount of blood pumped by the heart in a minute”. BCG Signal is obtained from the sensors placed near the aorta which is the main artery, originating from left ventricle of extending down to the abdomen. BCG is found to be the promising method to detect the cardiovascular diseases. The data obtained from the sensors contains vibrations due to respiration, body movements and other disturbances. It is a plot of repetitive motion of human body arising from the ejection of blood into the blood vessel. Each BCG wave contains GHIJKLMN peaks. The features of BCG signals such as the amplitude of the peak and the distance between the H, I, J, K and L peaks are calculated. The delay between the BCG Signal and the ECG signal is found by finding the interval between the dominant peak ‘J’ of BCG signal and the dominant peak ‘R’ of ECG.
Keywords: Ballistocardiogram, Feature Extraction, Wavelet Transform, Signal processing
Cite Article: "Feature Extraction of Ballistocardiogram Signal", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 7, page no.180 - 186, July-2016, Available :http://www.ijsdr.org/papers/IJSDR1607030.pdf
Downloads: 000337067
Publication Details: Published Paper ID: IJSDR1607030
Registration ID:160617
Published In: Volume 1 Issue 7, July-2016
DOI (Digital Object Identifier):
Page No: 180 - 186
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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