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

File: <base>/training/georgia/g10/E09215.hea (726 bytes) 
E09215 12 500 5000
E09215.mat 16x1+24 1000.0(0)/mV 16 0 -156 15095 0 I
E09215.mat 16x1+24 1000.0(0)/mV 16 0 -29 29889 0 II
E09215.mat 16x1+24 1000.0(0)/mV 16 0 126 15260 0 III
E09215.mat 16x1+24 1000.0(0)/mV 16 0 92 10275 0 aVR
E09215.mat 16x1+24 1000.0(0)/mV 16 0 -141 98 0 aVL
E09215.mat 16x1+24 1000.0(0)/mV 16 0 48 -9825 0 aVF
E09215.mat 16x1+24 1000.0(0)/mV 16 0 29 -22347 0 V1
E09215.mat 16x1+24 1000.0(0)/mV 16 0 -68 27464 0 V2
E09215.mat 16x1+24 1000.0(0)/mV 16 0 146 29420 0 V3
E09215.mat 16x1+24 1000.0(0)/mV 16 0 48 25674 0 V4
E09215.mat 16x1+24 1000.0(0)/mV 16 0 78 -6336 0 V5
E09215.mat 16x1+24 1000.0(0)/mV 16 0 107 25299 0 V6
# Age: 82
# Sex: Male
# Dx: 425623009,59931005,164934002
# Rx: Unknown
# Hx: Unknown