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

File: <base>/training/georgia/g8/E07931.hea (721 bytes) 
E07931 12 500 5000
E07931.mat 16x1+24 1000.0(0)/mV 16 0 824 -19795 0 I
E07931.mat 16x1+24 1000.0(0)/mV 16 0 893 -9371 0 II
E07931.mat 16x1+24 1000.0(0)/mV 16 0 68 10404 0 III
E07931.mat 16x1+24 1000.0(0)/mV 16 0 -858 -18255 0 aVR
E07931.mat 16x1+24 1000.0(0)/mV 16 0 378 -15107 0 aVL
E07931.mat 16x1+24 1000.0(0)/mV 16 0 480 -32019 0 aVF
E07931.mat 16x1+24 1000.0(0)/mV 16 0 -844 -13201 0 V1
E07931.mat 16x1+24 1000.0(0)/mV 16 0 -302 19136 0 V2
E07931.mat 16x1+24 1000.0(0)/mV 16 0 -1342 6721 0 V3
E07931.mat 16x1+24 1000.0(0)/mV 16 0 468 23451 0 V4
E07931.mat 16x1+24 1000.0(0)/mV 16 0 756 -16859 0 V5
E07931.mat 16x1+24 1000.0(0)/mV 16 0 595 -21104 0 V6
# Age: 76
# Sex: Male
# Dx: 17338001
# Rx: Unknown
# Hx: Unknown