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

File: <base>/training/georgia/g10/E09481.hea (720 bytes) 
E09481 12 500 5000
E09481.mat 16x1+24 1000.0(0)/mV 16 0 292 -3922 0 I
E09481.mat 16x1+24 1000.0(0)/mV 16 0 195 18161 0 II
E09481.mat 16x1+24 1000.0(0)/mV 16 0 -97 22513 0 III
E09481.mat 16x1+24 1000.0(0)/mV 16 0 -244 25398 0 aVR
E09481.mat 16x1+24 1000.0(0)/mV 16 0 195 -12734 0 aVL
E09481.mat 16x1+24 1000.0(0)/mV 16 0 48 -12424 0 aVF
E09481.mat 16x1+24 1000.0(0)/mV 16 0 -107 7847 0 V1
E09481.mat 16x1+24 1000.0(0)/mV 16 0 -97 1453 0 V2
E09481.mat 16x1+24 1000.0(0)/mV 16 0 48 -30796 0 V3
E09481.mat 16x1+24 1000.0(0)/mV 16 0 97 -30451 0 V4
E09481.mat 16x1+24 1000.0(0)/mV 16 0 97 12998 0 V5
E09481.mat 16x1+24 1000.0(0)/mV 16 0 68 -5470 0 V6
# Age: 70
# Sex: Male
# Dx: 59118001,426177001
# Rx: Unknown
# Hx: Unknown