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While the world's population is growing, average life expectancy is increasing. As a result, the growing elderly population is profoundly affecting the delivery of healthcare for everyone and in particular for those with chronic diseases. The remote monitoring of chronic patients may be achieved by a telemedicine system utilizing today's information and mobile communication technologies. In this study,...
This paper proposes the application of Discrete Wavelet Transform (DWT) to detect the QRS of an electrocardiogram (ECG) signal. Wavelet Transform provides efficient localization in both time and frequency. In preprocessing stage, DWT is used to remove the baseline wander in the ECG signal. The performance of the algorithm of QRS detection is evaluated against the standard MIT BIH Arrhythmia database...
This paper presents an algorithm for Electrocardiogram (ECG) analysis to detect and classify ECG waveform anomalies and abnormalities. This is achieved by extracting various features and durations of the ECG waveform such as RR interval, QRS complex, P wave and PR durations. These durations are then compared with normal values to determine the degree and types of abnormalities. Most of the data used...
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