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

File: <base>/training/georgia/g8/E07932.hea (709 bytes) 
E07932 12 500 5000
E07932.mat 16x1+24 1000.0(0)/mV 16 0 0 -14327 0 I
E07932.mat 16x1+24 1000.0(0)/mV 16 0 -48 -11904 0 II
E07932.mat 16x1+24 1000.0(0)/mV 16 0 -48 2787 0 III
E07932.mat 16x1+24 1000.0(0)/mV 16 0 24 13113 0 aVR
E07932.mat 16x1+24 1000.0(0)/mV 16 0 24 -8975 0 aVL
E07932.mat 16x1+24 1000.0(0)/mV 16 0 -48 -4682 0 aVF
E07932.mat 16x1+24 1000.0(0)/mV 16 0 29 -12574 0 V1
E07932.mat 16x1+24 1000.0(0)/mV 16 0 97 -8045 0 V2
E07932.mat 16x1+24 1000.0(0)/mV 16 0 19 -26435 0 V3
E07932.mat 16x1+24 1000.0(0)/mV 16 0 0 -22139 0 V4
E07932.mat 16x1+24 1000.0(0)/mV 16 0 -48 32256 0 V5
E07932.mat 16x1+24 1000.0(0)/mV 16 0 -68 32048 0 V6
# Age: 68
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown