Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(752 bytes)
E01719 12 500 5000
E01719.mat 16x1+24 1000.0(0)/mV 16 0 478 -23783 0 I
E01719.mat 16x1+24 1000.0(0)/mV 16 0 468 20786 0 II
E01719.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20994 0 III
E01719.mat 16x1+24 1000.0(0)/mV 16 0 -473 -31028 0 aVR
E01719.mat 16x1+24 1000.0(0)/mV 16 0 244 31356 0 aVL
E01719.mat 16x1+24 1000.0(0)/mV 16 0 229 -37 0 aVF
E01719.mat 16x1+24 1000.0(0)/mV 16 0 -585 -24954 0 V1
E01719.mat 16x1+24 1000.0(0)/mV 16 0 849 -30311 0 V2
E01719.mat 16x1+24 1000.0(0)/mV 16 0 1249 31593 0 V3
E01719.mat 16x1+24 1000.0(0)/mV 16 0 1512 -20008 0 V4
E01719.mat 16x1+24 1000.0(0)/mV 16 0 1161 -17605 0 V5
E01719.mat 16x1+24 1000.0(0)/mV 16 0 712 -19969 0 V6
# Age: 82
# Sex: Male
# Dx: 427084000,425623009,251146004,164934002
# Rx: Unknown
# Hx: Unknown