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

File: <base>/training/georgia/g8/E07913.hea (743 bytes) 
E07913 12 500 5000
E07913.mat 16x1+24 1000.0(0)/mV 16 0 -39 -31911 0 I
E07913.mat 16x1+24 1000.0(0)/mV 16 0 -107 -7583 0 II
E07913.mat 16x1+24 1000.0(0)/mV 16 0 -68 25055 0 III
E07913.mat 16x1+24 1000.0(0)/mV 16 0 73 19836 0 aVR
E07913.mat 16x1+24 1000.0(0)/mV 16 0 14 -28522 0 aVL
E07913.mat 16x1+24 1000.0(0)/mV 16 0 -87 8777 0 aVF
E07913.mat 16x1+24 1000.0(0)/mV 16 0 68 -25893 0 V1
E07913.mat 16x1+24 1000.0(0)/mV 16 0 29 26497 0 V2
E07913.mat 16x1+24 1000.0(0)/mV 16 0 -78 21365 0 V3
E07913.mat 16x1+24 1000.0(0)/mV 16 0 -117 -27697 0 V4
E07913.mat 16x1+24 1000.0(0)/mV 16 0 -48 9823 0 V5
E07913.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15399 0 V6
# Age: 78
# Sex: Male
# Dx: 270492004,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown