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

Algorithm 2

FIRREGULAR filter.

(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