Designing an Optimum and Reduced Order Filter for Efficient ECG QRS Peak Detection and Classification of Arrhythmia Data

<div>Input MIT-BIH/PhysioNet ECG Arrhythmia database of 30 persons recorded for over 30 min, 5.556 sec, used for the current study. These data are 100,101,102,103,104,105, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 111, 113, 114, 200, 201, 202, 203, 207, 208, 209, 210, 212, 213, 214, 215, 217, 219, 221, 222, 228.</div>

Journal of Healthcare Engineering

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Figure 5

Figure 5: Designing an Optimum and Reduced Order Filter for Efficient ECG QRS Peak Detection and Classification of Arrhythmia Data 