TABLE 3. Performance of QRS Detection Algorithm.

Pt. #	Detection			Classification
	QRS (#)	Se (%)	P+ (%)	PM (#)	OM (#)	C (%)	Se (%)	P+ (%)	Ac (%)
1	11	100	100	10	1	100	100	91	91
2	12	92	100	11	1	90	100	91	91
	13	100	100	8	5	100	100	89	91
3	28	100	97	25	3	91	88	100	89
	14	100	100	14	0	100	100	100	100
	18	94	90	14	4	90	100	100	100
4	13	100	100	12	1	100	100	100	100
	11	100	100	7	4	92	86	100	91
	10	100	100	7	3	84	71	100	80
5	13	100	100	12	1	100	92	100	92
	14	93	100	13	1	99	100	100	100
	13	100	100	12	1	100	100	100	100
	13	100	100	11	2	97	100	92	92
6	12	100	100	11	1	100	100	100	100
	14	100	100	12	2	97	100	100	100
	12	100	100	12	0	95	92	100	92
7	17	100	100	16	1	100	100	100	100
8	7	100	100	5	2	100	100	83	86
	12	92	100	10	2	90	89	100	91
	10	100	100	9	1	92	100	90	90
Tot	267	99	99	231	36	96	96	97	94

Pt. = patient; Se = sensitivity; P+ = positive predictivity; PM = predominant morphology; OM = outlier morphology; C = concordance; Ac = accuracy. Undetected and erroneously detected QRS complexes were not included in the calculations of the classification accuracy measures.