Detection of Various Diseases Using ECG Signal in MALAB
Shital L. Pingale1, Nivedita Daimiwal2
1Miss Shital L. Pingale, Department of Instrumentation and Control Engineering, College of Engineering for women’s Karvrenagar, pune Pune (Maharashtra), India.
2Mrs. Nivedita Daimiwal, Department of Instrumentation and Control Engineering, College of Engineering for women’s Karvrenagar, pune Pune (Maharashtra), India.
Manuscript received on 20 March 2014 | Revised Manuscript received on 25 March 2014 | Manuscript published on 30 March 2014 | PP: 120-123 | Volume-3 Issue-1, March 2014 | Retrieval Number: A1023033114/2014©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Electrocardiogram (ECG) illustrates the electrical activity in the heart, and is the most important physiological parameter that gives the correct assessment regarding the functioning of the heart. ECG is the graphical recording of the electrical activity of the heart used for clinical diagnosis. The project has been devised to find a method for ECG signal analysis which is simple andhas good accuracy and takes less computation time. Electrocardiogram (ECG) is generally used for diagnosis of cardiovascular abnormalities and disorders.
Keywords: ECG Signal, Pan Tompkins Algorithm, Abnormal ECG, QRS complex, RR interval
Scope of the Article: Signal and Image Processing