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

File: <base>/training/georgia/g9/E08362.hea (721 bytes) 
E08362 12 500 5000
E08362.mat 16x1+24 1000.0(0)/mV 16 0 -9 -16285 0 I
E08362.mat 16x1+24 1000.0(0)/mV 16 0 -48 25830 0 II
E08362.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23439 0 III
E08362.mat 16x1+24 1000.0(0)/mV 16 0 29 27913 0 aVR
E08362.mat 16x1+24 1000.0(0)/mV 16 0 14 3363 0 aVL
E08362.mat 16x1+24 1000.0(0)/mV 16 0 -43 -31496 0 aVF
E08362.mat 16x1+24 1000.0(0)/mV 16 0 29 -8041 0 V1
E08362.mat 16x1+24 1000.0(0)/mV 16 0 87 7283 0 V2
E08362.mat 16x1+24 1000.0(0)/mV 16 0 -48 27062 0 V3
E08362.mat 16x1+24 1000.0(0)/mV 16 0 -58 29788 0 V4
E08362.mat 16x1+24 1000.0(0)/mV 16 0 -48 26002 0 V5
E08362.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28800 0 V6
# Age: 79
# Sex: Female
# Dx: 713426002,427393009
# Rx: Unknown
# Hx: Unknown