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

File: <base>/training/georgia/g10/E09713.hea (734 bytes) 
E09713 12 500 5000
E09713.mat 16x1+24 1000.0(0)/mV 16 0 97 10833 0 I
E09713.mat 16x1+24 1000.0(0)/mV 16 0 -19 11417 0 II
E09713.mat 16x1+24 1000.0(0)/mV 16 0 -117 1502 0 III
E09713.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11073 0 aVR
E09713.mat 16x1+24 1000.0(0)/mV 16 0 107 -28079 0 aVL
E09713.mat 16x1+24 1000.0(0)/mV 16 0 -68 -26203 0 aVF
E09713.mat 16x1+24 1000.0(0)/mV 16 0 -107 5666 0 V1
E09713.mat 16x1+24 1000.0(0)/mV 16 0 -97 19960 0 V2
E09713.mat 16x1+24 1000.0(0)/mV 16 0 -283 4157 0 V3
E09713.mat 16x1+24 1000.0(0)/mV 16 0 -117 15982 0 V4
E09713.mat 16x1+24 1000.0(0)/mV 16 0 117 3013 0 V5
E09713.mat 16x1+24 1000.0(0)/mV 16 0 224 13432 0 V6
# Age: 63
# Sex: Male
# Dx: 426434006,164934002,164890007
# Rx: Unknown
# Hx: Unknown