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

File: <base>/training/georgia/g10/E09517.hea (737 bytes) 
E09517 12 500 5000
E09517.mat 16x1+24 1000.0(0)/mV 16 0 -19 -2030 0 I
E09517.mat 16x1+24 1000.0(0)/mV 16 0 -53 -32602 0 II
E09517.mat 16x1+24 1000.0(0)/mV 16 0 -34 -29701 0 III
E09517.mat 16x1+24 1000.0(0)/mV 16 0 36 17162 0 aVR
E09517.mat 16x1+24 1000.0(0)/mV 16 0 7 13677 0 aVL
E09517.mat 16x1+24 1000.0(0)/mV 16 0 -43 -31200 0 aVF
E09517.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12880 0 V1
E09517.mat 16x1+24 1000.0(0)/mV 16 0 39 -30561 0 V2
E09517.mat 16x1+24 1000.0(0)/mV 16 0 43 -16625 0 V3
E09517.mat 16x1+24 1000.0(0)/mV 16 0 24 -27486 0 V4
E09517.mat 16x1+24 1000.0(0)/mV 16 0 -43 -23541 0 V5
E09517.mat 16x1+24 1000.0(0)/mV 16 0 -34 3707 0 V6
# Age: 42
# Sex: Male
# Dx: 164873001,67741000119109,425623009
# Rx: Unknown
# Hx: Unknown