Table 3.

Feature distributions of both AF and non-AF of all data, training, validation and testing datasets.

		ALL DATA		TRAINING		VALIDATION		TESTING
				DATASET		DATASET		DATASET
		AF	Non-AF	AF	Non-AF	AF	Non-AF	AF	Non-AF
Morphological Features	PpRp	207 *	150	203 *	150	197 *	150	220 *	150
	(ms)	[161;243]	[130;183]	[157;240]	[130;180]	[153;237]	[130;187]	[183;247]	[130;183]
	PpQRSoff	257 *	200	250 *	200	250 *	200	267 *	200
	(ms)	[210;287]	[177;233]	[203;287]	[177;233]	[203;286]	[177;240]	[227;293]	[179;233]
	QRSonQRSoff	103	103	100	103	103	103	103	103
	(ms)	[93;113]	[93;113]	[93;113]	[93;113]	[90;113]	[93;113]	[93;113]	[93;113]
	QRSonToff	333 *	386	330 *	387	337 *	383	333 *	383
	(ms)	[261;387]	[320;427]	[260;383]	[323;427]	[276;399]	[313;423]	[259;407]	[317;427]
	QRSoffToff	230 *	283	223 *	287	240 *	280	230 *	283
	(ms)	[157;283]	[217;320]	[150;277]	[220;320]	[178;290]	[213;320]	[153;301]	[213;320]
	AP	12 *	52	13 *	52	12 *	49	−10 *	55
	(µV)	[−25;34]	[−34;82]	[−25;37]	[−37;82]	[−26;38]	[−36;80]	[−24;26]	[−27;83]
	AQRSon	0 *	−5	0 *	−5	0 *	−4	1 *	−4
	(µV)	[−7;7]	[−17;4]	[−8;6]	[−18;4]	[−5;7]	[−16;4]	[−5;9]	[−17;4]
	AQRS	852 *	895	852	894	873	873	836 *	905
	(µV)	[637;1075]	[651;1158]	[664;1075]	[646;1533]	[615;1092]	[636;1140]	[631;1062]	[670;1175]
	AQRSoff	−27	−24	−29 *	−22	−16	−22	−28	−28
	(µV)	[−73;9]	[−64;13]	[−75;8]	[−63;13]	[−55;16]	[−62;15]	[−76;9]	[−67;11]
	AT	185 *	246	180 *	248	195 *	236	188 *	247
	(µV)	[109;259]	[165;332]	[109;253]	[167;334]	[127;253]	[156;319]	[105;269]	[167;336]
	AQRS/AP	−3 *	9	−1 *	9	−3 *	9	−7 *	9
	(dimension-less)	[−24;20]	[−1;13]	[−24;19]	[−2;13]	[−26;15]	[−1;13]	[−23;23]	[−1;14]
F-Waves Features	FWFRFFT	24 *	14	23 *	14	25 *	14	23 *	15
	(%)	[16;31]	[9;21]	[16;30]	[9;21]	[16;31]	[9;21]	[16;31]	[10;21]
	FWFRWLC	25 *	14	25 *	14	25 *	14	24 *	15
	(%)	[17;32]	[9;21]	[17;32]	[9;21]	[16;32]	[10;22]	[17;32]	[10;21]
	FWFRYWK	35 *	23	35 *	23	37 *	22	34 *	23
	(%)	[25;45]	[17;31]	[26;45]	[17;31]	[25;44]	[16;31]	[24;43]	[17;31]
	FWFRTHM	24 *	14	24 *	14	25 *	14	23 *	14
	(%)	[16;31]	[9;21]	[16;32]	[9;21]	[16;31]	[9;21]	[16;31]	[10;21]
HRV Features	MRR	712 *	864	692 *	862	717 *	869	755 *	863
	(ms)	[580;860]	[758;976]	[565;835]	[760;979]	[577;878]	[751;980]	[616;902]	[758;970]
	SDRR	157 *	57	155 *	58	157 *	58	163 *	54
	(ms)	[104;224]	[24;134]	[101;208]	[25;136]	[101;227]	[24;133]	[112;242]	[22;129]
	RMSRR	218 *	57	215 *	59	223 *	56	223 *	52
	(ms)	[144;309]	[19;172]	[138;299]	[20;174]	[142;319]	[19;170]	[159;320]	[18;167]
	PRR50	92 *	67	93 *	67	93 *	67	93 *	67
	(%)	[90;94]	[0;83]	[90;94]	[0;83]	[90;94]	[0;83]	[89;94]	[0;80]

* p-value < 0.05 when comparing corresponding feature in AF vs. non-AF classes, within a dataset.