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

File: <base>/training/georgia/g6/E05761.hea (735 bytes) 
E05761 12 500 5000
E05761.mat 16x1+24 1000.0(0)/mV 16 0 -78 -15857 0 I
E05761.mat 16x1+24 1000.0(0)/mV 16 0 58 25158 0 II
E05761.mat 16x1+24 1000.0(0)/mV 16 0 136 -23902 0 III
E05761.mat 16x1+24 1000.0(0)/mV 16 0 9 -4570 0 aVR
E05761.mat 16x1+24 1000.0(0)/mV 16 0 -107 -28631 0 aVL
E05761.mat 16x1+24 1000.0(0)/mV 16 0 97 -32192 0 aVF
E05761.mat 16x1+24 1000.0(0)/mV 16 0 -429 -10719 0 V1
E05761.mat 16x1+24 1000.0(0)/mV 16 0 -644 -5685 0 V2
E05761.mat 16x1+24 1000.0(0)/mV 16 0 -566 -16643 0 V3
E05761.mat 16x1+24 1000.0(0)/mV 16 0 -351 2626 0 V4
E05761.mat 16x1+24 1000.0(0)/mV 16 0 9 2229 0 V5
E05761.mat 16x1+24 1000.0(0)/mV 16 0 204 11264 0 V6
# Age: 74
# Sex: Male
# Dx: 427084000,284470004,284470004
# Rx: Unknown
# Hx: Unknown