Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(729 bytes)
E01834 12 500 5000
E01834.mat 16x1+24 1000.0(0)/mV 16 0 68 -16389 0 I
E01834.mat 16x1+24 1000.0(0)/mV 16 0 107 -26573 0 II
E01834.mat 16x1+24 1000.0(0)/mV 16 0 39 -10726 0 III
E01834.mat 16x1+24 1000.0(0)/mV 16 0 -87 21207 0 aVR
E01834.mat 16x1+24 1000.0(0)/mV 16 0 14 -3003 0 aVL
E01834.mat 16x1+24 1000.0(0)/mV 16 0 73 -18597 0 aVF
E01834.mat 16x1+24 1000.0(0)/mV 16 0 -605 23308 0 V1
E01834.mat 16x1+24 1000.0(0)/mV 16 0 -1307 -26995 0 V2
E01834.mat 16x1+24 1000.0(0)/mV 16 0 -1590 10911 0 V3
E01834.mat 16x1+24 1000.0(0)/mV 16 0 -868 -2196 0 V4
E01834.mat 16x1+24 1000.0(0)/mV 16 0 0 -24102 0 V5
E01834.mat 16x1+24 1000.0(0)/mV 16 0 273 -21765 0 V6
# Age: 59
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown