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Comparison of ANN and Fuzzy logic based Bradycardia and Tachycardia Arrhythmia detection using ECG signal
Simranjeet Kaur,  Navneet Kaur Panag
Heart diseases are common these days due to unhealthy food habits. One of the biggest causes of deaths today is heart diseases. These need to be monitored and diagnosed early to shun deaths because of coronary heart diseases. ECG signal i.e. Electrocardiogram signal is used to detect the heart disease, an individual is suffering from. The ECG signal formed will let the doctor know about the heart condition of patient. Heart disease detection using ECG signal is a wide area of research as accurate diagnosis is important for correct treatment of the patient. Arrhythmias can be predicted from the ECG signal. The waveforms of ECG signal and their correct analysis is important for the prediction of infection or patient’s condition of heart. In this paper, fuzzy logic system is used for the detection & prediction of heart diseases. A comparison between the traditional and the proposed method is done .
Keywords- Heart diseases; Fuzzy logics; Cardiac arrhythmias; ECG signal; Disease Detection.
Unique Identification Number - IJEDR1601009Page Number(s) - 58-62Pubished in - Volume 4 | Issue 1 | January 2016DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Simranjeet Kaur,  Navneet Kaur Panag,   "Comparison of ANN and Fuzzy logic based Bradycardia and Tachycardia Arrhythmia detection using ECG signal"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 1, pp.58-62, January 2016, Available at :http://www.ijedr.org/papers/IJEDR1601009.pdf