Table 3.

Comparison of proposed KNN algorithm with other QRS detection algorithms using CSE database.

Database	QRS detector	Reference	Detection rate (%)
CSE database	KNN algorithm	Using proposed algorithm	99.89
	SVM algorithm	[9]	99.75
	Length and energy transformation	[26]	99.60
	Time recursive prediction technique	[1]	99.00
	K-means algorithm	[27]	98.66
	Bottom up approach	[4]	98.49
	Mathematical morphology	[28]	99.38
	An integrated pattern recognition method	[29]	99.83
	Predictive neural network based technique to detect QRS complexes	[5]	98.96