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

File: <base>/training/georgia/g10/E09357.hea (754 bytes) 
E09357 12 500 5000
E09357.mat 16x1+24 1000.0(0)/mV 16 0 -229 6546 0 I
E09357.mat 16x1+24 1000.0(0)/mV 16 0 73 17630 0 II
E09357.mat 16x1+24 1000.0(0)/mV 16 0 302 11595 0 III
E09357.mat 16x1+24 1000.0(0)/mV 16 0 78 -12223 0 aVR
E09357.mat 16x1+24 1000.0(0)/mV 16 0 -265 -2533 0 aVL
E09357.mat 16x1+24 1000.0(0)/mV 16 0 187 14723 0 aVF
E09357.mat 16x1+24 1000.0(0)/mV 16 0 244 25510 0 V1
E09357.mat 16x1+24 1000.0(0)/mV 16 0 -161 5589 0 V2
E09357.mat 16x1+24 1000.0(0)/mV 16 0 161 30314 0 V3
E09357.mat 16x1+24 1000.0(0)/mV 16 0 -73 -2640 0 V4
E09357.mat 16x1+24 1000.0(0)/mV 16 0 19 6311 0 V5
E09357.mat 16x1+24 1000.0(0)/mV 16 0 -34 -9055 0 V6
# Age: 54
# Sex: Male
# Dx: 428750005,67741000119109,111975006,164930006,59931005
# Rx: Unknown
# Hx: Unknown