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

File: <base>/training/georgia/g9/E08893.hea (719 bytes) 
E08893 12 500 5000
E08893.mat 16x1+24 1000.0(0)/mV 16 0 -24 26681 0 I
E08893.mat 16x1+24 1000.0(0)/mV 16 0 -43 -6772 0 II
E08893.mat 16x1+24 1000.0(0)/mV 16 0 -19 -32555 0 III
E08893.mat 16x1+24 1000.0(0)/mV 16 0 34 22746 0 aVR
E08893.mat 16x1+24 1000.0(0)/mV 16 0 -2 29325 0 aVL
E08893.mat 16x1+24 1000.0(0)/mV 16 0 -31 13144 0 aVF
E08893.mat 16x1+24 1000.0(0)/mV 16 0 9 23403 0 V1
E08893.mat 16x1+24 1000.0(0)/mV 16 0 -68 -29023 0 V2
E08893.mat 16x1+24 1000.0(0)/mV 16 0 -136 -27373 0 V3
E08893.mat 16x1+24 1000.0(0)/mV 16 0 -107 -20246 0 V4
E08893.mat 16x1+24 1000.0(0)/mV 16 0 -102 -21283 0 V5
E08893.mat 16x1+24 1000.0(0)/mV 16 0 -34 -28552 0 V6
# Age: 41
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown