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

File: <base>/training/georgia/g9/E08883.hea (750 bytes) 
E08883 12 500 5000
E08883.mat 16x1+24 1000.0(0)/mV 16 0 9 25826 0 I
E08883.mat 16x1+24 1000.0(0)/mV 16 0 107 -8762 0 II
E08883.mat 16x1+24 1000.0(0)/mV 16 0 97 31459 0 III
E08883.mat 16x1+24 1000.0(0)/mV 16 0 -58 23705 0 aVR
E08883.mat 16x1+24 1000.0(0)/mV 16 0 -43 30078 0 aVL
E08883.mat 16x1+24 1000.0(0)/mV 16 0 102 11096 0 aVF
E08883.mat 16x1+24 1000.0(0)/mV 16 0 48 3406 0 V1
E08883.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11699 0 V2
E08883.mat 16x1+24 1000.0(0)/mV 16 0 -48 11619 0 V3
E08883.mat 16x1+24 1000.0(0)/mV 16 0 -68 -14185 0 V4
E08883.mat 16x1+24 1000.0(0)/mV 16 0 -107 -5564 0 V5
E08883.mat 16x1+24 1000.0(0)/mV 16 0 -78 -26330 0 V6
# Age: 66
# Sex: Male
# Dx: 428750005,164934002,426177001,426434006,59931005
# Rx: Unknown
# Hx: Unknown