An improved electrocardiogram arrhythmia classification performance with feature optimization

Table 10 Benchmarking studies for recent year's publications related to ECG FE

Authors	Dataset	ECG beat/rhythm	Class	FE	FS	Classifier	Performance results (%)
Authors	Dataset	ECG beat/rhythm	Class	FE	FS	Classifier	ACC	SEN	SPE	PRE
Cai et al. [11]	MIT-BIH Arrhythmia	Beat	5	Time-domain	-	CNN	91.5	-	-	-
Cai et al. [11]	MIT-BIH Arrhythmia	Beat	13	Time-domain	-	CNN	75.6	-	-	-
Zhang et al. [53]	MIT-BIH Arrhythmia	Beat	8	Time–domain	-	CNN	99.1	-	-	-
Zhang et al. [53]	MIT-BIH Arrhythmia	Beat	8	Frequency-domain	-	CNN	96.3	-	-	-
Wang et al. [54]	MIT-BIH Arrhythmia	Beat	5	Time–frequency-domain	-	CNN	99.43	-	-	-
Kumar M et al. [55]	MIT-BIH Arrhythmia	Beat	4	Frequency-domain	-	CNN	99.7	98.3	99.2	96.1
Proposed	LUDB and QTDB	Rhythm	2	Time-domain	TLO	SVM	100	100	100	100
Proposed	LUDB and QTDB	Rhythm	4	Time-domain	TLO	SVM	100	100	100	100

ISSN: 1472-6947