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

File: <base>/training/georgia/g9/E08944.hea (703 bytes) 
E08944 12 500 5000
E08944.mat 16x1+24 1000.0(0)/mV 16 0 29 28869 0 I
E08944.mat 16x1+24 1000.0(0)/mV 16 0 29 -4438 0 II
E08944.mat 16x1+24 1000.0(0)/mV 16 0 0 32503 0 III
E08944.mat 16x1+24 1000.0(0)/mV 16 0 -29 -12172 0 aVR
E08944.mat 16x1+24 1000.0(0)/mV 16 0 14 30744 0 aVL
E08944.mat 16x1+24 1000.0(0)/mV 16 0 14 -18541 0 aVF
E08944.mat 16x1+24 1000.0(0)/mV 16 0 19 6263 0 V1
E08944.mat 16x1+24 1000.0(0)/mV 16 0 9 7220 0 V2
E08944.mat 16x1+24 1000.0(0)/mV 16 0 -39 24630 0 V3
E08944.mat 16x1+24 1000.0(0)/mV 16 0 14 1417 0 V4
E08944.mat 16x1+24 1000.0(0)/mV 16 0 -73 -25242 0 V5
E08944.mat 16x1+24 1000.0(0)/mV 16 0 -73 8868 0 V6
# Age: 45
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown