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

File: <base>/training/georgia/g10/E09358.hea (749 bytes) 
E09358 12 500 5000
E09358.mat 16x1+24 1000.0(0)/mV 16 0 -58 -23205 0 I
E09358.mat 16x1+24 1000.0(0)/mV 16 0 -273 18772 0 II
E09358.mat 16x1+24 1000.0(0)/mV 16 0 -214 -22729 0 III
E09358.mat 16x1+24 1000.0(0)/mV 16 0 165 2307 0 aVR
E09358.mat 16x1+24 1000.0(0)/mV 16 0 78 32312 0 aVL
E09358.mat 16x1+24 1000.0(0)/mV 16 0 -244 30818 0 aVF
E09358.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19062 0 V1
E09358.mat 16x1+24 1000.0(0)/mV 16 0 283 -12972 0 V2
E09358.mat 16x1+24 1000.0(0)/mV 16 0 58 -8259 0 V3
E09358.mat 16x1+24 1000.0(0)/mV 16 0 -146 -8163 0 V4
E09358.mat 16x1+24 1000.0(0)/mV 16 0 -107 -31709 0 V5
E09358.mat 16x1+24 1000.0(0)/mV 16 0 -117 12884 0 V6
# Age: 54
# Sex: Male
# Dx: 253339007,111975006,164930006,164873001
# Rx: Unknown
# Hx: Unknown