Table 4.

Cloud training and testing classification results: accuracy (ACC), precision (PREC), sensitivity (SEN), and F1 score metrics (%) of the proposed model variants. Model variations include: the number of classes: {3,4,5}, Conv1D trainable parameter: {True, False, Default}, MF kernel size $N_K$: {32, 64}, the input feature to the Conv1D layer: {Signal, Derivative, Both}, and the class weight training parameter: {SET, Not SET}. Best results per row (metric) are highlighted in red.

Model ID Number			1	2	3	4	5	6	7	8	9
Model Variations	Number of Classes		3	3	3	3	3	3	3	4	5
	Conv1D Trainable		DEF	TRUE	FALSE	DEF	TRUE	TRUE	TRUE	TRUE	TRUE
	Layer Kernel Size $N_K$		64	32	32	32	32	32	64	32	32
	Input Feature		DREV	DREV	DREV	BOTH	SIG	DREV	DREV	DREV	DREV
	Class Weight Param		SET	SET	SET	SET	SET	NOT	NOT	NOT	NOT
Results	Total Number of Params		1619	1267	1267	1619	1267	1267	1619	1352	1420
	Number of Trainable Params		1597	1245	879	1597	1245	1245	1597	1330	1389
Training Results %	Training Time (s)		118.26	94.40	90.61	146.337	122.67	83.76	96.95	77.90	103.76
	Model Accuracy		99.30	98.61	93.00	96.04	96.17	99.31	99.42	98.59	98.94
	Average F1-Score		95.35	91.54	75.57	83.34	82.18	94.71	95.55	86.68	72.46
Testing Results %	Model Accuracy		96.48	95.58	94.42	94.78	92.90	98.18	97.94	97.06	96.93
	Normal Class—N	PREC	99.38	99.47	99.39	99.57	99.67	99.00	99.06	97.73	97.96
		SEN	96.96	95.86	94.67	94.91	92.98	99.10	98.31	99.14	98.85
		F1	98.16	97.63	96.98	97.18	96.21	99.05	98.68	98.43	98.40
	Supraventricular Class—SVEB	PREC	58.06	51.49	43.85	56.09	39.19	82.68	69.72	84.29	90.78
		SEN	85.30	88.51	95.59	92.54	88.13	81.60	81.33	79.42	74.52
		F1	69.09	65.11	60.12	69.84	54.26	82.14	75.08	81.78	81.85
	Ventricular Class—VEB	PREC	90.20	87.93	92.23	74.10	78.07	95.63	94.53	94.99	93.39
		SEN	96.34	95.65	90.31	94.32	94.47	95.00	95.47	90.13	95.13
		F1	93.17	91.63	91.26	82.99	85.49	95.31	95.00	92.50	94.25
	Average Scores	PREC	82.55	79.63	78.49	76.59	72.31	92.44	78.77	69.25	56.42
		SEN	92.87	93.34	93.53	93.92	91.86	91.90	91.70	67.17	53.70
		F1	86.81	84.79	82.79	83.34	78.65	92.17	89.59	68.18	54.90