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

File: <base>/training/georgia/g9/E08536.hea (714 bytes) 
E08536 12 500 5000
E08536.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14555 0 I
E08536.mat 16x1+24 1000.0(0)/mV 16 0 -9 23876 0 II
E08536.mat 16x1+24 1000.0(0)/mV 16 0 9 -26963 0 III
E08536.mat 16x1+24 1000.0(0)/mV 16 0 14 -4844 0 aVR
E08536.mat 16x1+24 1000.0(0)/mV 16 0 -14 -25852 0 aVL
E08536.mat 16x1+24 1000.0(0)/mV 16 0 0 31434 0 aVF
E08536.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8770 0 V1
E08536.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25585 0 V2
E08536.mat 16x1+24 1000.0(0)/mV 16 0 -68 -21029 0 V3
E08536.mat 16x1+24 1000.0(0)/mV 16 0 -78 -23175 0 V4
E08536.mat 16x1+24 1000.0(0)/mV 16 0 -78 24502 0 V5
E08536.mat 16x1+24 1000.0(0)/mV 16 0 -39 15771 0 V6
# Age: 60
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown