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

File: <base>/training/georgia/g10/E09290.hea (728 bytes) 
E09290 12 500 5000
E09290.mat 16x1+24 1000.0(0)/mV 16 0 -14 18245 0 I
E09290.mat 16x1+24 1000.0(0)/mV 16 0 -58 9546 0 II
E09290.mat 16x1+24 1000.0(0)/mV 16 0 -43 -8325 0 III
E09290.mat 16x1+24 1000.0(0)/mV 16 0 36 -13944 0 aVR
E09290.mat 16x1+24 1000.0(0)/mV 16 0 14 -19523 0 aVL
E09290.mat 16x1+24 1000.0(0)/mV 16 0 -51 -31793 0 aVF
E09290.mat 16x1+24 1000.0(0)/mV 16 0 73 24418 0 V1
E09290.mat 16x1+24 1000.0(0)/mV 16 0 43 9203 0 V2
E09290.mat 16x1+24 1000.0(0)/mV 16 0 131 19222 0 V3
E09290.mat 16x1+24 1000.0(0)/mV 16 0 68 -29697 0 V4
E09290.mat 16x1+24 1000.0(0)/mV 16 0 53 -666 0 V5
E09290.mat 16x1+24 1000.0(0)/mV 16 0 39 -24018 0 V6
# Age: 57
# Sex: Female
# Dx: 427084000,59931005,164934002
# Rx: Unknown
# Hx: Unknown