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

File: <base>/training/georgia/g6/E05929.hea (733 bytes) 
E05929 12 500 5000
E05929.mat 16x1+24 1000.0(0)/mV 16 0 126 -25743 0 I
E05929.mat 16x1+24 1000.0(0)/mV 16 0 58 -90 0 II
E05929.mat 16x1+24 1000.0(0)/mV 16 0 -68 24868 0 III
E05929.mat 16x1+24 1000.0(0)/mV 16 0 -92 13093 0 aVR
E05929.mat 16x1+24 1000.0(0)/mV 16 0 97 7771 0 aVL
E05929.mat 16x1+24 1000.0(0)/mV 16 0 -4 -20405 0 aVF
E05929.mat 16x1+24 1000.0(0)/mV 16 0 -253 11293 0 V1
E05929.mat 16x1+24 1000.0(0)/mV 16 0 -644 -22288 0 V2
E05929.mat 16x1+24 1000.0(0)/mV 16 0 -1278 -16988 0 V3
E05929.mat 16x1+24 1000.0(0)/mV 16 0 -1024 -3455 0 V4
E05929.mat 16x1+24 1000.0(0)/mV 16 0 -185 -29428 0 V5
E05929.mat 16x1+24 1000.0(0)/mV 16 0 107 24096 0 V6
# Age: 89
# Sex: Male
# Dx: 59118001,164889003,425623009,164934002
# Rx: Unknown