RETRACTED: An Innovative Machine Learning Approach for Classifying ECG Signals in Healthcare Devices

Table 4

F1 score class comparison.

F1 score class comparison
Rhythm class	BDLSTM		Residual		LSTM-CNN		Proposed RBFNN
	Multi	Single	Multi	Single	Multi	Single	Multi	Single
Sinus rhythm	0.812	0.612	0.734	0.692	0.793	0.702	0.883	0.813
Artifact/noise	0.834	0.734	0.818	0.746	0.843	0.774	0.923	0.874
Ventricular tachycardia	0.265	0.065	0.169	0.085	0.417	0.145	0.721	0.835
Atrial fibrillation	0.837	0.337	0.763	0.797	0.764	0.717	0.852	0.857
Bigeminy	0.663	0.263	0.136	0.073	0.553	0.523	0.754	0.873
PVC	0.769	0.669	0.821	0.709	0.724	0.709	0.912	0.879