Tuesday 23rd of April 2024
 

Intelligent Arrhythmia Diagnostics System


Dipti D. Patil, Vijay M. Wadhai, Dhanashri Patil, Trupti Mohol, Sharlin P. and Ruta Dhekane

Changes in the normal rhythm of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart sustained over long periods of time. The ability to automatically identify arrhythmias from ECG recordings is important for clinical diagnosis and treatment. This paper discusses about how the intelligent signal processing method is used to detect and extract features of ECG signals and finally clustering these features to predict the type of arrhythmia by using data stream mining algorithms. The system discussed in this paper is integrated with Wireless Sensors Network (WSN) through which ECG signal of patient can be sensed and analyze in real time to diagnose presence of arrhythmia and classify them in 8 different types. The system is thus helpful to doctors for evaluation and monitoring of patient\'s heart condition at any time and any location.

Keywords: Data Stream Mining, Preventive Health Care, Feature Extraction, ECG Signal Preprocessing

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ABOUT THE AUTHORS

Dipti D. Patil
Dipti D. Patil has received B.E. degree in Computer Engineering from Mumbai University in 2002 and M.E. degree in Computer Engineering from Mumbai University, India in 2008. She is pursuing her PhD from Sant Gadgebaba Amravati University in P.G. Department of Computer Science and Engineering, SGBAU, Amravati. She is currently working as Assistant Professor in MITCOE, Pune. She has filed patents in data mining area and published numbers of international papers. Her Research interests include machine learning, Medical Signal Processing and Wireless Body Area Networks.

Vijay M. Wadhai
Dr. Vijay M.Wadhai received his B.E. from Nagpur University in 1986, M.E. from Gulbarga University in 1995 and Ph.D. degree from Amravati University in 2007. He has experience of 26 years which includes both academic (19 years) and research (7 years). He has been working as the Principal of MAEER’s MITCOE, Pune since 2010. He had worked as Dean of Research, MITSOT, MAE, Pune (from 2009 to 2010) and handled the post of Director - Research and Development, Intelligent Radio Frequency (IRF) Group, Pune. He is currently guiding various numbers of students for their PhD work in both Computers and Electronics & Telecommunication area. His research interest includes Deductive Databases, Knowledge Discovery and Data Mining, Data Security, Natural Language processing, Cognitive Radio and Wireless Communication, Spectrum Management, Wireless Sensor Network, ASIC Design - VLSI, Advance Network Design. He is a member of LMISTE, MIETE, MIEEE, MIES and GISFI (Member Convergence Group), India. He has filed numbers of patents in his research areas and also published quality International journal papers.

Dhanashri Patil
Student, Computer Engineering Department, Pune University

Trupti Mohol
Student, Computer Engineering Department, Pune University

Sharlin P.
Student, Computer Engineering Department, Pune University

Ruta Dhekane
Student, Computer Engineering Department, Pune University


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