Research Article
Designing an Optimum and Reduced Order Filter for Efficient ECG QRS Peak Detection and Classification of Arrhythmia Data
(1) | Load ECG data | (2) | Deceleration Fs, | (3) | Baseline wondering using | 60order high pass Filter | Window based FIRREGULAR filter W = 1/36000 | (4) | 60 order low pass filter. | Window = 150/180. | (5) | Remove power line noise, using | 100coefficient stop band filter | (6) | Peak detection | Determine RR(t), R–to–R interval | Determine peaks | (7) | Disease detection: calculate regular and irregular distance heart rate measure, classify as regular and irregular | End algorithm |
|