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

File: <base>/training/georgia/g9/E08032.hea (711 bytes) 
E08032 12 500 5000
E08032.mat 16x1+24 1000.0(0)/mV 16 0 -58 27780 0 I
E08032.mat 16x1+24 1000.0(0)/mV 16 0 0 -1282 0 II
E08032.mat 16x1+24 1000.0(0)/mV 16 0 58 -29915 0 III
E08032.mat 16x1+24 1000.0(0)/mV 16 0 29 19474 0 aVR
E08032.mat 16x1+24 1000.0(0)/mV 16 0 -58 28748 0 aVL
E08032.mat 16x1+24 1000.0(0)/mV 16 0 29 16850 0 aVF
E08032.mat 16x1+24 1000.0(0)/mV 16 0 29 -5201 0 V1
E08032.mat 16x1+24 1000.0(0)/mV 16 0 58 -17293 0 V2
E08032.mat 16x1+24 1000.0(0)/mV 16 0 29 20679 0 V3
E08032.mat 16x1+24 1000.0(0)/mV 16 0 29 14810 0 V4
E08032.mat 16x1+24 1000.0(0)/mV 16 0 -9 8657 0 V5
E08032.mat 16x1+24 1000.0(0)/mV 16 0 0 -11820 0 V6
# Age: 60
# Sex: Male
# Dx: 713426002,59118001
# Rx: Unknown
# Hx: Unknown