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

File: <base>/training/georgia/g10/E09286.hea (730 bytes) 
E09286 12 500 5000
E09286.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25730 0 I
E09286.mat 16x1+24 1000.0(0)/mV 16 0 -29 29618 0 II
E09286.mat 16x1+24 1000.0(0)/mV 16 0 0 -10005 0 III
E09286.mat 16x1+24 1000.0(0)/mV 16 0 29 -1971 0 aVR
E09286.mat 16x1+24 1000.0(0)/mV 16 0 -14 24642 0 aVL
E09286.mat 16x1+24 1000.0(0)/mV 16 0 -14 -22852 0 aVF
E09286.mat 16x1+24 1000.0(0)/mV 16 0 107 24991 0 V1
E09286.mat 16x1+24 1000.0(0)/mV 16 0 68 -12929 0 V2
E09286.mat 16x1+24 1000.0(0)/mV 16 0 29 -14891 0 V3
E09286.mat 16x1+24 1000.0(0)/mV 16 0 9 -28554 0 V4
E09286.mat 16x1+24 1000.0(0)/mV 16 0 0 32310 0 V5
E09286.mat 16x1+24 1000.0(0)/mV 16 0 0 -25403 0 V6
# Age: 63
# Sex: Female
# Dx: 164884008,427084000,164934002
# Rx: Unknown
# Hx: Unknown