<strong>Paper Title</strong><br>
ECG Monitoring Of A Cardiac Patient Using Embedded System<br>
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<strong>Abstract</strong><br>
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.