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

File: <base>/training/georgia/g2/E01212.hea (743 bytes) 
E01212 12 500 5000
E01212.mat 16x1+24 1000.0(0)/mV 16 0 -165 25135 0 I
E01212.mat 16x1+24 1000.0(0)/mV 16 0 -68 -7097 0 II
E01212.mat 16x1+24 1000.0(0)/mV 16 0 97 -32290 0 III
E01212.mat 16x1+24 1000.0(0)/mV 16 0 117 23569 0 aVR
E01212.mat 16x1+24 1000.0(0)/mV 16 0 -131 28599 0 aVL
E01212.mat 16x1+24 1000.0(0)/mV 16 0 14 12909 0 aVF
E01212.mat 16x1+24 1000.0(0)/mV 16 0 292 -27997 0 V1
E01212.mat 16x1+24 1000.0(0)/mV 16 0 0 4594 0 V2
E01212.mat 16x1+24 1000.0(0)/mV 16 0 -97 -2489 0 V3
E01212.mat 16x1+24 1000.0(0)/mV 16 0 -48 30251 0 V4
E01212.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20466 0 V5
E01212.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25761 0 V6
# Age: 60
# Sex: Female
# Dx: 59118001,164889003,39732003,425623009
# Rx: Unknown
# Hx: Unknown