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

File: <base>/training/georgia/g10/E09761.hea (741 bytes) 
E09761 12 500 5000
E09761.mat 16x1+24 1000.0(0)/mV 16 0 -107 22662 0 I
E09761.mat 16x1+24 1000.0(0)/mV 16 0 9 -6151 0 II
E09761.mat 16x1+24 1000.0(0)/mV 16 0 117 -28905 0 III
E09761.mat 16x1+24 1000.0(0)/mV 16 0 48 24449 0 aVR
E09761.mat 16x1+24 1000.0(0)/mV 16 0 -112 25914 0 aVL
E09761.mat 16x1+24 1000.0(0)/mV 16 0 63 15274 0 aVF
E09761.mat 16x1+24 1000.0(0)/mV 16 0 -68 -22779 0 V1
E09761.mat 16x1+24 1000.0(0)/mV 16 0 -68 28809 0 V2
E09761.mat 16x1+24 1000.0(0)/mV 16 0 175 -32622 0 V3
E09761.mat 16x1+24 1000.0(0)/mV 16 0 48 -9753 0 V4
E09761.mat 16x1+24 1000.0(0)/mV 16 0 9 22101 0 V5
E09761.mat 16x1+24 1000.0(0)/mV 16 0 -58 -23523 0 V6
# Age: 77
# Sex: Male
# Dx: 425419005,164934002,164890007,233917008
# Rx: Unknown
# Hx: Unknown