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Abstract
In this study, heart rate time series have been investigated to assess the presence of scale invariance property of a signal. The electrocardiogram signal is recording from Biopac MP100 system during postural shift from supine to standing. Heart rate time series is extracted from electrocardiogram signal and is analyzed using detrended fluctuation analysis. Since this analysis is based on random walk theory, noise level due to imperfect measurement in recording is reduced and it can systematically eliminate trends of different orders. The essence of this method is to understand the presence of scale invariance in heart rate and to classify the scaling factor changes during postural shift from supine to standing. The obtained scaling factor is invariant with respect to scale sizes, which confirm that heart rate signal is scale invariant. In addition, scaling factor is significantly less for supine position as compared with the standing indicates it is directly proportional to heart rate. Therefore, this method helps in calculating the risk to evaluate the patient status during postural changes to obtain information about heart instability.
ACKNOWLEDGMENT
The authors would like to thank Biomedical Instrumentation Laboratory, NIT Jalandhar and all volunteers who took part in the recording.
Additional information
Notes on contributors
Helen M. C. Mary
Helen M C Mary was born in Quilon, Kerala, India, in 1988. She received her BTech degree in applied electronics and instrumentation engineering from LBS Institute of Technology for Women, University of Kerala in 2009; MTech degree in control and instrumentation from National Institute of Technology Jalandhar, India, in 2013 and currently pursuing PhD degree in the area of biomedical signal processing from National Institute of Technology Jalandhar, India. Her research interests include biomedical signal processing, image processing, virtual instrumentation and Soft Computing. Corresponding author. Email: [email protected]
Dilbag Singh
Dilbag Singh received his BE (Hons) degree in electrical engineering from Punjab Engineering College, Chandigarh, in 1991, and ME degree in control and guidance from the University of Roorkee in 1993, and the PhD degree in engineering from the Indian Institute of Technology Roorkee, in 2004. The PhD degree thesis was developed at the Instrumentation and Signal Processing Laboratory of the Electrical Engineering Department under the direction of Prof Vinod Kumar, IIT Roorkee, Prof S C Saxena, Ex director, IIT Roorkee, and Prof K K Deepak, All India Institute of Medical Sciences, New Delhi, on “Analysis and Interpretation of Heart Rate and Blood Pressure Variability.” After a brief stint at Goodyear India Limited, Faridabad, in September 1994, he joined the Department of Instrumentation and Control Engineering at the Dr B R Ambedkar National Institute of Technology, Jalandhar, and presently serving as associate professor of instrumentation and control engineering there, where he is teaching UG/PG courses related to biomedical engineering, signal processing, and instrumentation and control engineering. His professional research interests are in signal processing, in particular applied to biomedical applications. He has guided five PhDs and is guiding four doctoral and several Master’s theses and has over 80 research publications in internationally reputed Journals and Conference proceedings. He holds membership of professional bodies as Member – IEEE, Life Member – ISTE, Life Member – Instrument Society of India, Life Member – Biomedical Engineering Society of India, Fellow – The Institution of Engineers, and Fellow – The Institution of Electronics and Telecommunication Engineers. He has visited Glasgow University (MEDSIP-2006 and ICE-2013); New Jersey Institute of Technology, New Jersey (IEEE EMBS 2006); City University London and Brunel University London. He is local coordinator of international project “Establishment of ECG Database of Healthy Indian Population” in collaboration with professor P W Macfarlane, University of Glasgow; professor Vinod Kumar, IIT Roorkee; professor S T Hamde, SGGS Institute of Engineering and Technology, Nanded. He is also the Member Peer Group, VSAT-Enabled Mobile e-Learning Terminals, a project under National Mission on Education through Information and Communication Technology of Ministry of Human Resource Development, Government of India and Member AHEC, IITR Roorkee Team for Performance Testing and Evaluation of Small Hydro Stations in India. He has conducted four AICTE/MHRD short-term courses for the training of faculty of technical institute. He has been the Organizing Secretary of 1st and 2nd International Conferences on Biomedical Engineering and Assistive Technologies (BEATS 2010 and BEATS 2012) at NIT, Jalandhar. Email: [email protected]
K. K. Deepak
K K Deepak is currently serving as Head of the Department of Physiology at AIIMS, New Delhi, India. He initiated the Autonomic Function Lab in the department in 1989. It was the first lab of its kind in the country. It has been providing patient care services and a platform for research in clinical physiology. Till date over 16000 human subjects have been investigated in this lab. He has deep interest in biomedical engineering. He developed a blood pressure simulation model. He was involved in harnessing EEG and EOG signal for the purpose of moving prosthesis. He developed the techniques of EMG biofeedback for patients of hand dystonia. He also set up the technique for recording the gastric motility from surface called electrogastrography (EGG) first time in our country. He has also been interested in designing and developing software for analysis of physiological signals. His team has indigenously developed the software for quantification of autonomic tone. He has more than 90 full-length refereed research papers published in indexed journals and written 13 chapters in various books. He has co-authored three books. His work has been abstracted in more than 260 scientific communications. Email: [email protected]