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

File: <base>/training/georgia/g10/E09119.hea (711 bytes) 
E09119 12 500 5000
E09119.mat 16x1+24 1000.0(0)/mV 16 0 58 21600 0 I
E09119.mat 16x1+24 1000.0(0)/mV 16 0 39 8434 0 II
E09119.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12909 0 III
E09119.mat 16x1+24 1000.0(0)/mV 16 0 -48 17709 0 aVR
E09119.mat 16x1+24 1000.0(0)/mV 16 0 39 17566 0 aVL
E09119.mat 16x1+24 1000.0(0)/mV 16 0 9 30658 0 aVF
E09119.mat 16x1+24 1000.0(0)/mV 16 0 97 2133 0 V1
E09119.mat 16x1+24 1000.0(0)/mV 16 0 39 -31832 0 V2
E09119.mat 16x1+24 1000.0(0)/mV 16 0 -19 27743 0 V3
E09119.mat 16x1+24 1000.0(0)/mV 16 0 -48 -12431 0 V4
E09119.mat 16x1+24 1000.0(0)/mV 16 0 -39 -6962 0 V5
E09119.mat 16x1+24 1000.0(0)/mV 16 0 78 -32191 0 V6
# Age: 41
# Sex: Male
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown