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

File: <base>/training/georgia/g9/E08513.hea (714 bytes) 
E08513 12 500 5000
E08513.mat 16x1+24 1000.0(0)/mV 16 0 -19 -26669 0 I
E08513.mat 16x1+24 1000.0(0)/mV 16 0 68 -13295 0 II
E08513.mat 16x1+24 1000.0(0)/mV 16 0 87 13605 0 III
E08513.mat 16x1+24 1000.0(0)/mV 16 0 -24 20078 0 aVR
E08513.mat 16x1+24 1000.0(0)/mV 16 0 -53 -19895 0 aVL
E08513.mat 16x1+24 1000.0(0)/mV 16 0 78 252 0 aVF
E08513.mat 16x1+24 1000.0(0)/mV 16 0 39 -28052 0 V1
E08513.mat 16x1+24 1000.0(0)/mV 16 0 58 12306 0 V2
E08513.mat 16x1+24 1000.0(0)/mV 16 0 29 1390 0 V3
E08513.mat 16x1+24 1000.0(0)/mV 16 0 87 31427 0 V4
E08513.mat 16x1+24 1000.0(0)/mV 16 0 19 -4898 0 V5
E08513.mat 16x1+24 1000.0(0)/mV 16 0 78 18650 0 V6
# Age: 87
# Sex: Male
# Dx: 164889003,164934002
# Rx: Unknown
# Hx: Unknown