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

File: <base>/training/georgia/g8/E07943.hea (737 bytes) 
E07943 12 500 5000
E07943.mat 16x1+24 1000.0(0)/mV 16 0 -43 -4722 0 I
E07943.mat 16x1+24 1000.0(0)/mV 16 0 -9 25650 0 II
E07943.mat 16x1+24 1000.0(0)/mV 16 0 34 30703 0 III
E07943.mat 16x1+24 1000.0(0)/mV 16 0 26 -10295 0 aVR
E07943.mat 16x1+24 1000.0(0)/mV 16 0 -39 -17093 0 aVL
E07943.mat 16x1+24 1000.0(0)/mV 16 0 12 28210 0 aVF
E07943.mat 16x1+24 1000.0(0)/mV 16 0 -4 2648 0 V1
E07943.mat 16x1+24 1000.0(0)/mV 16 0 4 18806 0 V2
E07943.mat 16x1+24 1000.0(0)/mV 16 0 48 -4885 0 V3
E07943.mat 16x1+24 1000.0(0)/mV 16 0 -19 -6255 0 V4
E07943.mat 16x1+24 1000.0(0)/mV 16 0 -19 -1833 0 V5
E07943.mat 16x1+24 1000.0(0)/mV 16 0 -24 23859 0 V6
# Age: 54
# Sex: Female
# Dx: 426434006,164934002,164917005,111975006
# Rx: Unknown
# Hx: Unknown