Paper Title
ECG Monitoring Of A Cardiac Patient Using Embedded System

This paper presents a novel method to alert a cardiac patient using an embedded system. This system is chosen, based on factors such as processing speed and portability, to reliably monitor the ECG signal of the patient. Based on minimum processing time required and compatibility with the processor, an algorithm has been selected for processing of the ECG signal. Since QRS complexes are predominant in the ECG signal, the algorithm is used to detect the same. Using first order differentiation, Hilbert transform of the signal, and adaptive thresholding, the algorithm detectsQRS complexes in the signal. Further, onapplying a second threshold on the detected QRS complex, R peaks are located accurately. When an abnormal ECG signal is detected, the chosen processor Raspberry piis interfaced with a buzzer which generates an alert. The algorithm provides diminished P and T peaks, amplifies QRS peaks, and in addition motion artifacts and noise are greatly reduced. The algorithm is validated on a set often 10s recordings which are taken from MIT/ BIH Arrhythmia database. The results are compared with the corresponding annotations of database, a sensitivity of 97.73% and a detection error rate of 4.52% was obtained.