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

File: <base>/training/georgia/g9/E08294.hea (717 bytes) 
E08294 12 500 5000
E08294.mat 16x1+24 1000.0(0)/mV 16 0 0 16413 0 I
E08294.mat 16x1+24 1000.0(0)/mV 16 0 -146 25496 0 II
E08294.mat 16x1+24 1000.0(0)/mV 16 0 -146 9556 0 III
E08294.mat 16x1+24 1000.0(0)/mV 16 0 73 11649 0 aVR
E08294.mat 16x1+24 1000.0(0)/mV 16 0 73 -29923 0 aVL
E08294.mat 16x1+24 1000.0(0)/mV 16 0 -146 17605 0 aVF
E08294.mat 16x1+24 1000.0(0)/mV 16 0 0 -31947 0 V1
E08294.mat 16x1+24 1000.0(0)/mV 16 0 19 4855 0 V2
E08294.mat 16x1+24 1000.0(0)/mV 16 0 -58 6037 0 V3
E08294.mat 16x1+24 1000.0(0)/mV 16 0 -58 18701 0 V4
E08294.mat 16x1+24 1000.0(0)/mV 16 0 -68 18139 0 V5
E08294.mat 16x1+24 1000.0(0)/mV 16 0 -39 16093 0 V6
# Age: 68
# Sex: Male
# Dx: 428417006,426177001
# Rx: Unknown
# Hx: Unknown