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

File: <base>/training/georgia/g10/E09236.hea (726 bytes) 
E09236 12 500 5000
E09236.mat 16x1+24 1000.0(0)/mV 16 0 -48 17418 0 I
E09236.mat 16x1+24 1000.0(0)/mV 16 0 -58 823 0 II
E09236.mat 16x1+24 1000.0(0)/mV 16 0 -9 -16029 0 III
E09236.mat 16x1+24 1000.0(0)/mV 16 0 53 23849 0 aVR
E09236.mat 16x1+24 1000.0(0)/mV 16 0 -19 16723 0 aVL
E09236.mat 16x1+24 1000.0(0)/mV 16 0 -34 25387 0 aVF
E09236.mat 16x1+24 1000.0(0)/mV 16 0 0 -26585 0 V1
E09236.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11146 0 V2
E09236.mat 16x1+24 1000.0(0)/mV 16 0 9 -8223 0 V3
E09236.mat 16x1+24 1000.0(0)/mV 16 0 -78 -13296 0 V4
E09236.mat 16x1+24 1000.0(0)/mV 16 0 -9 11805 0 V5
E09236.mat 16x1+24 1000.0(0)/mV 16 0 9 -29120 0 V6
# Age: 68
# Sex: Male
# Dx: 425419005,164934002,164917005
# Rx: Unknown
# Hx: Unknown