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

File: <base>/training/georgia/g9/E08373.hea (713 bytes) 
E08373 12 500 5000
E08373.mat 16x1+24 1000.0(0)/mV 16 0 224 -27293 0 I
E08373.mat 16x1+24 1000.0(0)/mV 16 0 331 28792 0 II
E08373.mat 16x1+24 1000.0(0)/mV 16 0 107 -8445 0 III
E08373.mat 16x1+24 1000.0(0)/mV 16 0 -278 31760 0 aVR
E08373.mat 16x1+24 1000.0(0)/mV 16 0 58 -9682 0 aVL
E08373.mat 16x1+24 1000.0(0)/mV 16 0 219 -22376 0 aVF
E08373.mat 16x1+24 1000.0(0)/mV 16 0 9 -25786 0 V1
E08373.mat 16x1+24 1000.0(0)/mV 16 0 263 12692 0 V2
E08373.mat 16x1+24 1000.0(0)/mV 16 0 566 4230 0 V3
E08373.mat 16x1+24 1000.0(0)/mV 16 0 575 -17885 0 V4
E08373.mat 16x1+24 1000.0(0)/mV 16 0 331 -22219 0 V5
E08373.mat 16x1+24 1000.0(0)/mV 16 0 224 8866 0 V6
# Age: 40
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown