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

File: <base>/training/georgia/g6/E05762.hea (736 bytes) 
E05762 12 500 5000
E05762.mat 16x1+24 1000.0(0)/mV 16 0 19 -20440 0 I
E05762.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31157 0 II
E05762.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10488 0 III
E05762.mat 16x1+24 1000.0(0)/mV 16 0 0 25580 0 aVR
E05762.mat 16x1+24 1000.0(0)/mV 16 0 29 -4828 0 aVL
E05762.mat 16x1+24 1000.0(0)/mV 16 0 -29 -20815 0 aVF
E05762.mat 16x1+24 1000.0(0)/mV 16 0 39 3757 0 V1
E05762.mat 16x1+24 1000.0(0)/mV 16 0 58 26811 0 V2
E05762.mat 16x1+24 1000.0(0)/mV 16 0 58 28202 0 V3
E05762.mat 16x1+24 1000.0(0)/mV 16 0 -29 25021 0 V4
E05762.mat 16x1+24 1000.0(0)/mV 16 0 0 10183 0 V5
E05762.mat 16x1+24 1000.0(0)/mV 16 0 -19 10228 0 V6
# Age: 68
# Sex: Male
# Dx: 111975006,164930006,270492004,164934002
# Rx: Unknown
# Hx: Unknown