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

File: <base>/training/georgia/g6/E05377.hea (725 bytes) 
E05377 12 500 5000
E05377.mat 16x1+24 1000.0(0)/mV 16 0 -39 -19917 0 I
E05377.mat 16x1+24 1000.0(0)/mV 16 0 -58 -14806 0 II
E05377.mat 16x1+24 1000.0(0)/mV 16 0 -19 4722 0 III
E05377.mat 16x1+24 1000.0(0)/mV 16 0 48 17192 0 aVR
E05377.mat 16x1+24 1000.0(0)/mV 16 0 -9 20648 0 aVL
E05377.mat 16x1+24 1000.0(0)/mV 16 0 -39 28063 0 aVF
E05377.mat 16x1+24 1000.0(0)/mV 16 0 117 21088 0 V1
E05377.mat 16x1+24 1000.0(0)/mV 16 0 78 -30868 0 V2
E05377.mat 16x1+24 1000.0(0)/mV 16 0 126 -12535 0 V3
E05377.mat 16x1+24 1000.0(0)/mV 16 0 9 32498 0 V4
E05377.mat 16x1+24 1000.0(0)/mV 16 0 -68 27049 0 V5
E05377.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8995 0 V6
# Age: 63
# Sex: Male
# Dx: 428750005,67741000119109
# Rx: Unknown
# Hx: Unknown