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

File: <base>/training/georgia/g4/E03902.hea (761 bytes) 
E03902 12 500 5000
E03902.mat 16x1+24 1000.0(0)/mV 16 0 -292 -17964 0 I
E03902.mat 16x1+24 1000.0(0)/mV 16 0 -87 -25728 0 II
E03902.mat 16x1+24 1000.0(0)/mV 16 0 204 -7578 0 III
E03902.mat 16x1+24 1000.0(0)/mV 16 0 190 21856 0 aVR
E03902.mat 16x1+24 1000.0(0)/mV 16 0 -248 -4831 0 aVL
E03902.mat 16x1+24 1000.0(0)/mV 16 0 58 -16268 0 aVF
E03902.mat 16x1+24 1000.0(0)/mV 16 0 -87 9650 0 V1
E03902.mat 16x1+24 1000.0(0)/mV 16 0 -409 -28047 0 V2
E03902.mat 16x1+24 1000.0(0)/mV 16 0 -234 -9408 0 V3
E03902.mat 16x1+24 1000.0(0)/mV 16 0 -224 -16680 0 V4
E03902.mat 16x1+24 1000.0(0)/mV 16 0 -175 29412 0 V5
E03902.mat 16x1+24 1000.0(0)/mV 16 0 -136 12374 0 V6
# Age: 61
# Sex: Male
# Dx: 698252002,111975006,164930006,39732003,426177001
# Rx: Unknown
# Hx: Unknown