Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(713 bytes)
E01193 12 500 5000
E01193.mat 16x1+24 1000.0(0)/mV 16 0 0 25422 0 I
E01193.mat 16x1+24 1000.0(0)/mV 16 0 48 4670 0 II
E01193.mat 16x1+24 1000.0(0)/mV 16 0 48 -20611 0 III
E01193.mat 16x1+24 1000.0(0)/mV 16 0 -24 17563 0 aVR
E01193.mat 16x1+24 1000.0(0)/mV 16 0 -24 23220 0 aVL
E01193.mat 16x1+24 1000.0(0)/mV 16 0 48 24416 0 aVF
E01193.mat 16x1+24 1000.0(0)/mV 16 0 29 -6736 0 V1
E01193.mat 16x1+24 1000.0(0)/mV 16 0 39 -8267 0 V2
E01193.mat 16x1+24 1000.0(0)/mV 16 0 117 23935 0 V3
E01193.mat 16x1+24 1000.0(0)/mV 16 0 117 -3105 0 V4
E01193.mat 16x1+24 1000.0(0)/mV 16 0 87 23191 0 V5
E01193.mat 16x1+24 1000.0(0)/mV 16 0 29 -3762 0 V6
# Age: 60
# Sex: Male
# Dx: 426434006,164934002
# Rx: Unknown
# Hx: Unknown