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

File: <base>/training/georgia/g4/E03761.hea (730 bytes) 
E03761 12 500 5000
E03761.mat 16x1+24 1000.0(0)/mV 16 0 -39 -383 0 I
E03761.mat 16x1+24 1000.0(0)/mV 16 0 -87 11147 0 II
E03761.mat 16x1+24 1000.0(0)/mV 16 0 -48 11613 0 III
E03761.mat 16x1+24 1000.0(0)/mV 16 0 63 -5356 0 aVR
E03761.mat 16x1+24 1000.0(0)/mV 16 0 4 -6349 0 aVL
E03761.mat 16x1+24 1000.0(0)/mV 16 0 -68 11494 0 aVF
E03761.mat 16x1+24 1000.0(0)/mV 16 0 -19 12403 0 V1
E03761.mat 16x1+24 1000.0(0)/mV 16 0 -29 31009 0 V2
E03761.mat 16x1+24 1000.0(0)/mV 16 0 -68 -30812 0 V3
E03761.mat 16x1+24 1000.0(0)/mV 16 0 -165 7575 0 V4
E03761.mat 16x1+24 1000.0(0)/mV 16 0 -185 24188 0 V5
E03761.mat 16x1+24 1000.0(0)/mV 16 0 -165 8830 0 V6
# Age: 70
# Sex: Male
# Dx: 270492004,426177001,164934002
# Rx: Unknown
# Hx: Unknown