Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(712 bytes)
E01388 12 500 5000
E01388.mat 16x1+24 1000.0(0)/mV 16 0 -48 7631 0 I
E01388.mat 16x1+24 1000.0(0)/mV 16 0 -136 28375 0 II
E01388.mat 16x1+24 1000.0(0)/mV 16 0 -87 21407 0 III
E01388.mat 16x1+24 1000.0(0)/mV 16 0 92 -18062 0 aVR
E01388.mat 16x1+24 1000.0(0)/mV 16 0 19 -6733 0 aVL
E01388.mat 16x1+24 1000.0(0)/mV 16 0 -112 25014 0 aVF
E01388.mat 16x1+24 1000.0(0)/mV 16 0 9 19482 0 V1
E01388.mat 16x1+24 1000.0(0)/mV 16 0 -146 -25407 0 V2
E01388.mat 16x1+24 1000.0(0)/mV 16 0 -107 16791 0 V3
E01388.mat 16x1+24 1000.0(0)/mV 16 0 -68 7713 0 V4
E01388.mat 16x1+24 1000.0(0)/mV 16 0 -58 27081 0 V5
E01388.mat 16x1+24 1000.0(0)/mV 16 0 -39 15367 0 V6
# Age: 53
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown