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

File: <base>/training/georgia/g9/E08314.hea (745 bytes) 
E08314 12 500 5000
E08314.mat 16x1+24 1000.0(0)/mV 16 0 -273 21094 0 I
E08314.mat 16x1+24 1000.0(0)/mV 16 0 68 -28083 0 II
E08314.mat 16x1+24 1000.0(0)/mV 16 0 341 16057 0 III
E08314.mat 16x1+24 1000.0(0)/mV 16 0 102 -29739 0 aVR
E08314.mat 16x1+24 1000.0(0)/mV 16 0 -307 -30271 0 aVL
E08314.mat 16x1+24 1000.0(0)/mV 16 0 204 -5857 0 aVF
E08314.mat 16x1+24 1000.0(0)/mV 16 0 566 -2727 0 V1
E08314.mat 16x1+24 1000.0(0)/mV 16 0 741 -8457 0 V2
E08314.mat 16x1+24 1000.0(0)/mV 16 0 702 8024 0 V3
E08314.mat 16x1+24 1000.0(0)/mV 16 0 283 14957 0 V4
E08314.mat 16x1+24 1000.0(0)/mV 16 0 78 -11484 0 V5
E08314.mat 16x1+24 1000.0(0)/mV 16 0 -19 -28767 0 V6
# Age: 30
# Sex: Male
# Dx: 59118001,426177001,425623009,164934002
# Rx: Unknown
# Hx: Unknown