Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g6/E05944.hea (714 bytes)
E05944 12 500 5000
E05944.mat 16x1+24 1000.0(0)/mV 16 0 39 -17014 0 I
E05944.mat 16x1+24 1000.0(0)/mV 16 0 -68 -30825 0 II
E05944.mat 16x1+24 1000.0(0)/mV 16 0 -107 -12948 0 III
E05944.mat 16x1+24 1000.0(0)/mV 16 0 14 23793 0 aVR
E05944.mat 16x1+24 1000.0(0)/mV 16 0 73 -2826 0 aVL
E05944.mat 16x1+24 1000.0(0)/mV 16 0 -87 -21786 0 aVF
E05944.mat 16x1+24 1000.0(0)/mV 16 0 370 -5933 0 V1
E05944.mat 16x1+24 1000.0(0)/mV 16 0 614 -22524 0 V2
E05944.mat 16x1+24 1000.0(0)/mV 16 0 370 22458 0 V3
E05944.mat 16x1+24 1000.0(0)/mV 16 0 195 18642 0 V4
E05944.mat 16x1+24 1000.0(0)/mV 16 0 19 -30340 0 V5
E05944.mat 16x1+24 1000.0(0)/mV 16 0 9 -11927 0 V6
# Age: 59
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown