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

File: <base>/training/georgia/g9/E08435.hea (737 bytes) 
E08435 12 500 5000
E08435.mat 16x1+24 1000.0(0)/mV 16 0 -175 -16092 0 I
E08435.mat 16x1+24 1000.0(0)/mV 16 0 -224 -8538 0 II
E08435.mat 16x1+24 1000.0(0)/mV 16 0 -48 8085 0 III
E08435.mat 16x1+24 1000.0(0)/mV 16 0 200 12228 0 aVR
E08435.mat 16x1+24 1000.0(0)/mV 16 0 -63 -12504 0 aVL
E08435.mat 16x1+24 1000.0(0)/mV 16 0 -136 -217 0 aVF
E08435.mat 16x1+24 1000.0(0)/mV 16 0 195 -8595 0 V1
E08435.mat 16x1+24 1000.0(0)/mV 16 0 107 2382 0 V2
E08435.mat 16x1+24 1000.0(0)/mV 16 0 -78 1271 0 V3
E08435.mat 16x1+24 1000.0(0)/mV 16 0 -283 -12293 0 V4
E08435.mat 16x1+24 1000.0(0)/mV 16 0 -322 -231 0 V5
E08435.mat 16x1+24 1000.0(0)/mV 16 0 -302 -27525 0 V6
# Age: 62
# Sex: Male
# Dx: 270492004,425623009,426177001
# Rx: Unknown
# Hx: Unknown