In the recent years Cardiac disorder is a very common problem faced by the people. The ECG is the most important test for the interpretation of cardiac abnormalities. The ECG gives the electrical activity of the human heart and by analyzing the deviation in these electrical activities, conclusion can be drawn. The study is divided into two parts. In the first part it deals with the detection of real time ECG waveform from the MIT-BIT Arrhythmia database and then these signals is further diagnosed by applying Wavelet Transform for R-peak detection. The second part of the study deals with the calculation of heart rate with the help of R-peaks detected and accordingly the cardiac arrhythmia can be analyzed. The study has been inspired by the need to find an efficient method for ECG Signal Analysis which is simple and has good accuracy and takes less computation time.
DAS, ANUJA; BEHERA, SHREETAM; and PANDA, TUSARKANTA
"IDENTIFICATION OF TACHYCARDIA AND BRADYCARDIA HEART DISORDERS USING WAVELET TRANSFORM BASED QRS DETECTION,"
International Journal of Image Processing and Vision Science: Vol. 2:
2, Article 2.
Available at: https://www.interscience.in/ijipvs/vol2/iss2/2