Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(718 bytes)
E01375 12 500 5000
E01375.mat 16x1+24 1000.0(0)/mV 16 0 19 -18358 0 I
E01375.mat 16x1+24 1000.0(0)/mV 16 0 -9 31909 0 II
E01375.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15504 0 III
E01375.mat 16x1+24 1000.0(0)/mV 16 0 -4 25829 0 aVR
E01375.mat 16x1+24 1000.0(0)/mV 16 0 24 -1513 0 aVL
E01375.mat 16x1+24 1000.0(0)/mV 16 0 -19 -24589 0 aVF
E01375.mat 16x1+24 1000.0(0)/mV 16 0 19 -22422 0 V1
E01375.mat 16x1+24 1000.0(0)/mV 16 0 -361 -27416 0 V2
E01375.mat 16x1+24 1000.0(0)/mV 16 0 -78 15834 0 V3
E01375.mat 16x1+24 1000.0(0)/mV 16 0 -48 -16740 0 V4
E01375.mat 16x1+24 1000.0(0)/mV 16 0 -136 -21963 0 V5
E01375.mat 16x1+24 1000.0(0)/mV 16 0 -117 -32524 0 V6
# Age: 70
# Sex: Male
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown