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

File: <base>/training/georgia/g9/E08814.hea (714 bytes) 
E08814 12 500 5000
E08814.mat 16x1+24 1000.0(0)/mV 16 0 68 -4319 0 I
E08814.mat 16x1+24 1000.0(0)/mV 16 0 -39 -32392 0 II
E08814.mat 16x1+24 1000.0(0)/mV 16 0 -107 -27500 0 III
E08814.mat 16x1+24 1000.0(0)/mV 16 0 -14 -14416 0 aVR
E08814.mat 16x1+24 1000.0(0)/mV 16 0 87 -20906 0 aVL
E08814.mat 16x1+24 1000.0(0)/mV 16 0 -73 -29784 0 aVF
E08814.mat 16x1+24 1000.0(0)/mV 16 0 244 13521 0 V1
E08814.mat 16x1+24 1000.0(0)/mV 16 0 624 26312 0 V2
E08814.mat 16x1+24 1000.0(0)/mV 16 0 370 -27072 0 V3
E08814.mat 16x1+24 1000.0(0)/mV 16 0 117 -31078 0 V4
E08814.mat 16x1+24 1000.0(0)/mV 16 0 87 10963 0 V5
E08814.mat 16x1+24 1000.0(0)/mV 16 0 9 9678 0 V6
# Age: 34
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown