Table 4.

Optimal ID models for single- and multi-lead sets. The non-redundant features included in the models are marked: ‘+’ for single leads, ‘*’ for limb leads, ‘o’ for chest leads, ‘#’ for 12-lead ECG. Additionally, the last 3 rows belonging to the multi-lead models show the number of leads per feature, involved in the model. The training AccID (mean ± CI) of each model is reported in the last column. The following colour map is applied: the features involved in the single lead models and the achieved AccID are highlighted in yellow; the features involved in the model using the 6 chest leads and the respective AccID are highlighted in orange; the features involved in the model using the 6 limb leads and its AccID are highlighted in light green; and the features involved in the 12-leads model and the achieved AccID are highlighted in dark green.

Lead Set	COR-PQRST						COR-QRS						AMP-QRS			MATCH-QRS
	r(max)			r(lag0)			r(max)			r(lag0)			ratioQRS			EQUT			EQUA			AccID (%)
I		*	#	+	*	#	+	*	#	+	*	#	+				*	#	+	*	#	57.8 ± 6.4
II	+	*	#	+	*	#	+	*	#	+	*	#					*	#	+	*		57.4 ± 6.4
III	+			+		#	+			+									+			46.5 ± 6.5
aVR	+	*	#		*		+	*		+	*								+			47.0 ± 6.6
aVL				+	*	#	+				*		+									50.4 ± 6.5
aVF	+			+	*		+		#	+									+			55.2 ± 6.5
V1	+	o	#		o	#	+	o		+	o		+					#		o	#	44.3 ± 6.4
V2			#	+			+	o		+			+							o		34.8 ± 6.2
V3				+			+						+								#	27.4 ± 5.8
V4		o		+			+			+			+							o	#	30.0 ± 6.0
V5		o	#	+	o		+	o	#	+	o		+								#	34.8 ± 6.2
V6	+	o	#	+	o		+	o		+	o									o	#	37.4 ± 6.3
6 Limb	3			5			3			4						2			2			77.4 ± 5.5
6 Chest	4			3			4			3									4			63.9 ± 6.2
12-leads	7			5			4			2						3			6			91.3 ± 3.7