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

File: <base>/training/georgia/g10/E09587.hea (738 bytes) 
E09587 12 500 5000
E09587.mat 16x1+24 1000.0(0)/mV 16 0 -19 22206 0 I
E09587.mat 16x1+24 1000.0(0)/mV 16 0 -19 14073 0 II
E09587.mat 16x1+24 1000.0(0)/mV 16 0 0 -7876 0 III
E09587.mat 16x1+24 1000.0(0)/mV 16 0 19 -18409 0 aVR
E09587.mat 16x1+24 1000.0(0)/mV 16 0 -9 14495 0 aVL
E09587.mat 16x1+24 1000.0(0)/mV 16 0 -9 3257 0 aVF
E09587.mat 16x1+24 1000.0(0)/mV 16 0 19 -21519 0 V1
E09587.mat 16x1+24 1000.0(0)/mV 16 0 -29 22280 0 V2
E09587.mat 16x1+24 1000.0(0)/mV 16 0 9 -4520 0 V3
E09587.mat 16x1+24 1000.0(0)/mV 16 0 -39 -2621 0 V4
E09587.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1534 0 V5
E09587.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11021 0 V6
# Age: 43
# Sex: Female
# Dx: 426177001,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown