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

File: <base>/training/georgia/g9/E08974.hea (716 bytes) 
E08974 12 500 5000
E08974.mat 16x1+24 1000.0(0)/mV 16 0 0 31527 0 I
E08974.mat 16x1+24 1000.0(0)/mV 16 0 -68 -15036 0 II
E08974.mat 16x1+24 1000.0(0)/mV 16 0 -68 19346 0 III
E08974.mat 16x1+24 1000.0(0)/mV 16 0 34 -8270 0 aVR
E08974.mat 16x1+24 1000.0(0)/mV 16 0 34 6361 0 aVL
E08974.mat 16x1+24 1000.0(0)/mV 16 0 -68 2156 0 aVF
E08974.mat 16x1+24 1000.0(0)/mV 16 0 78 -20354 0 V1
E08974.mat 16x1+24 1000.0(0)/mV 16 0 195 -25337 0 V2
E08974.mat 16x1+24 1000.0(0)/mV 16 0 58 25799 0 V3
E08974.mat 16x1+24 1000.0(0)/mV 16 0 39 5566 0 V4
E08974.mat 16x1+24 1000.0(0)/mV 16 0 19 -7359 0 V5
E08974.mat 16x1+24 1000.0(0)/mV 16 0 -39 -16817 0 V6
# Age: 60
# Sex: Female
# Dx: 428750005,39732003
# Rx: Unknown
# Hx: Unknown