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

File: <base>/training/georgia/g4/E03523.hea (758 bytes) 
E03523 12 500 5000
E03523.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16228 0 I
E03523.mat 16x1+24 1000.0(0)/mV 16 0 -29 30598 0 II
E03523.mat 16x1+24 1000.0(0)/mV 16 0 0 -18644 0 III
E03523.mat 16x1+24 1000.0(0)/mV 16 0 29 -7297 0 aVR
E03523.mat 16x1+24 1000.0(0)/mV 16 0 -14 -31484 0 aVL
E03523.mat 16x1+24 1000.0(0)/mV 16 0 -14 -26413 0 aVF
E03523.mat 16x1+24 1000.0(0)/mV 16 0 107 -14177 0 V1
E03523.mat 16x1+24 1000.0(0)/mV 16 0 87 24180 0 V2
E03523.mat 16x1+24 1000.0(0)/mV 16 0 39 -9354 0 V3
E03523.mat 16x1+24 1000.0(0)/mV 16 0 -9 1031 0 V4
E03523.mat 16x1+24 1000.0(0)/mV 16 0 -9 -17535 0 V5
E03523.mat 16x1+24 1000.0(0)/mV 16 0 97 24440 0 V6
# Age: 65
# Sex: Male
# Dx: 698252002,111975006,164930006,164889003,59931005,164934002
# Rx: Unknown
# Hx: Unknown