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

File: <base>/training/georgia/g10/E09139.hea (703 bytes) 
E09139 12 500 5000
E09139.mat 16x1+24 1000.0(0)/mV 16 0 48 -17825 0 I
E09139.mat 16x1+24 1000.0(0)/mV 16 0 48 4874 0 II
E09139.mat 16x1+24 1000.0(0)/mV 16 0 0 21925 0 III
E09139.mat 16x1+24 1000.0(0)/mV 16 0 -48 6467 0 aVR
E09139.mat 16x1+24 1000.0(0)/mV 16 0 24 -19823 0 aVL
E09139.mat 16x1+24 1000.0(0)/mV 16 0 24 13539 0 aVF
E09139.mat 16x1+24 1000.0(0)/mV 16 0 -48 29630 0 V1
E09139.mat 16x1+24 1000.0(0)/mV 16 0 58 -26400 0 V2
E09139.mat 16x1+24 1000.0(0)/mV 16 0 78 -26069 0 V3
E09139.mat 16x1+24 1000.0(0)/mV 16 0 78 32398 0 V4
E09139.mat 16x1+24 1000.0(0)/mV 16 0 19 22787 0 V5
E09139.mat 16x1+24 1000.0(0)/mV 16 0 39 32147 0 V6
# Age: 47
# Sex: Male
# Dx: 713426002
# Rx: Unknown
# Hx: Unknown