This paper presents a new automated diagnostic system to classification of electrocardiogram (ECG) cardiac beats. We have developed an intensive-knowledge case based reasoning classifier which uses a distributed case base enriched by partial domain knowledge (rules). An original similarity measures is proposed by combining the sigmoid similarity function with the fuzzy sets to ameliorate the system accuracy in the detection of cardiac arrhythmias. The experiments presented in this work concern the detection of Premature Ventricular Contraction PVC, normal and abnormal cardiac beats from a pattern extracted from the Electronic medical records collected and published by Beth Israel Hospital (MIT-BIH). The achieved results demonstrate the efficiency and the performance of the developed system.
Fuzzy knowledge-intensive case based classification for the detection of abnormal cardiac beats
- Written by Abdeldjalil Khelassi, Mohamed Amin Chick
- Parent Category: Year 2012, Volume 4
- Category: Year 2012, Volume 4, Issue 3, September-December 2012
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Ethics of Publishing Case Reports: Do We Need Ethics Approval and Patient Consent?
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The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
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The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
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Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
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Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: