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

File: <base>/training/georgia/g10/E09218.hea (745 bytes) 
E09218 12 500 5000
E09218.mat 16x1+24 1000.0(0)/mV 16 0 -97 23307 0 I
E09218.mat 16x1+24 1000.0(0)/mV 16 0 68 -32085 0 II
E09218.mat 16x1+24 1000.0(0)/mV 16 0 165 9774 0 III
E09218.mat 16x1+24 1000.0(0)/mV 16 0 14 -28511 0 aVR
E09218.mat 16x1+24 1000.0(0)/mV 16 0 -131 7069 0 aVL
E09218.mat 16x1+24 1000.0(0)/mV 16 0 117 21512 0 aVF
E09218.mat 16x1+24 1000.0(0)/mV 16 0 234 -10775 0 V1
E09218.mat 16x1+24 1000.0(0)/mV 16 0 380 -17849 0 V2
E09218.mat 16x1+24 1000.0(0)/mV 16 0 -19 -21040 0 V3
E09218.mat 16x1+24 1000.0(0)/mV 16 0 -322 -3099 0 V4
E09218.mat 16x1+24 1000.0(0)/mV 16 0 -390 10157 0 V5
E09218.mat 16x1+24 1000.0(0)/mV 16 0 -253 12274 0 V6
# Age: 54
# Sex: Male
# Dx: 89792004,164873001,266249003,39732003
# Rx: Unknown
# Hx: Unknown