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

File: <base>/training/georgia/g9/E08493.hea (715 bytes) 
E08493 12 500 5000
E08493.mat 16x1+24 1000.0(0)/mV 16 0 68 -24841 0 I
E08493.mat 16x1+24 1000.0(0)/mV 16 0 -9 -32432 0 II
E08493.mat 16x1+24 1000.0(0)/mV 16 0 -78 -7913 0 III
E08493.mat 16x1+24 1000.0(0)/mV 16 0 -29 28394 0 aVR
E08493.mat 16x1+24 1000.0(0)/mV 16 0 73 24364 0 aVL
E08493.mat 16x1+24 1000.0(0)/mV 16 0 -43 12177 0 aVF
E08493.mat 16x1+24 1000.0(0)/mV 16 0 107 5832 0 V1
E08493.mat 16x1+24 1000.0(0)/mV 16 0 107 5267 0 V2
E08493.mat 16x1+24 1000.0(0)/mV 16 0 39 16179 0 V3
E08493.mat 16x1+24 1000.0(0)/mV 16 0 29 -5067 0 V4
E08493.mat 16x1+24 1000.0(0)/mV 16 0 -9 -26083 0 V5
E08493.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4674 0 V6
# Age: 75
# Sex: Male
# Dx: 39732003,426177001
# Rx: Unknown
# Hx: Unknown