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

File: <base>/training/georgia/g9/E08837.hea (735 bytes) 
E08837 12 500 5000
E08837.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9930 0 I
E08837.mat 16x1+24 1000.0(0)/mV 16 0 -29 10929 0 II
E08837.mat 16x1+24 1000.0(0)/mV 16 0 9 21391 0 III
E08837.mat 16x1+24 1000.0(0)/mV 16 0 34 -513 0 aVR
E08837.mat 16x1+24 1000.0(0)/mV 16 0 -24 -15597 0 aVL
E08837.mat 16x1+24 1000.0(0)/mV 16 0 -9 16143 0 aVF
E08837.mat 16x1+24 1000.0(0)/mV 16 0 29 838 0 V1
E08837.mat 16x1+24 1000.0(0)/mV 16 0 48 -24344 0 V2
E08837.mat 16x1+24 1000.0(0)/mV 16 0 78 -7704 0 V3
E08837.mat 16x1+24 1000.0(0)/mV 16 0 9 -5838 0 V4
E08837.mat 16x1+24 1000.0(0)/mV 16 0 0 -543 0 V5
E08837.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8226 0 V6
# Age: 60
# Sex: Female
# Dx: 713426002,59118001,67741000119109,426434006
# Rx: Unknown
# Hx: Unknown