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

File: <base>/training/georgia/g10/E09228.hea (738 bytes) 
E09228 12 500 5000
E09228.mat 16x1+24 1000.0(0)/mV 16 0 -48 -17544 0 I
E09228.mat 16x1+24 1000.0(0)/mV 16 0 -68 21877 0 II
E09228.mat 16x1+24 1000.0(0)/mV 16 0 -19 -25134 0 III
E09228.mat 16x1+24 1000.0(0)/mV 16 0 58 30684 0 aVR
E09228.mat 16x1+24 1000.0(0)/mV 16 0 -14 3966 0 aVL
E09228.mat 16x1+24 1000.0(0)/mV 16 0 -43 31222 0 aVF
E09228.mat 16x1+24 1000.0(0)/mV 16 0 29 4278 0 V1
E09228.mat 16x1+24 1000.0(0)/mV 16 0 -9 18269 0 V2
E09228.mat 16x1+24 1000.0(0)/mV 16 0 0 32012 0 V3
E09228.mat 16x1+24 1000.0(0)/mV 16 0 -68 -3774 0 V4
E09228.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9915 0 V5
E09228.mat 16x1+24 1000.0(0)/mV 16 0 -58 8094 0 V6
# Age: 57
# Sex: Female
# Dx: 426434006,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown