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

File: <base>/training/georgia/g10/E09689.hea (738 bytes) 
E09689 12 500 5000
E09689.mat 16x1+24 1000.0(0)/mV 16 0 -39 13400 0 I
E09689.mat 16x1+24 1000.0(0)/mV 16 0 -29 -12955 0 II
E09689.mat 16x1+24 1000.0(0)/mV 16 0 9 -25948 0 III
E09689.mat 16x1+24 1000.0(0)/mV 16 0 34 -523 0 aVR
E09689.mat 16x1+24 1000.0(0)/mV 16 0 -24 19900 0 aVL
E09689.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19476 0 aVF
E09689.mat 16x1+24 1000.0(0)/mV 16 0 19 -6447 0 V1
E09689.mat 16x1+24 1000.0(0)/mV 16 0 9 -22324 0 V2
E09689.mat 16x1+24 1000.0(0)/mV 16 0 29 -28366 0 V3
E09689.mat 16x1+24 1000.0(0)/mV 16 0 0 4996 0 V4
E09689.mat 16x1+24 1000.0(0)/mV 16 0 -39 18636 0 V5
E09689.mat 16x1+24 1000.0(0)/mV 16 0 -68 -28342 0 V6
# Age: 56
# Sex: Female
# Dx: 426177001,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown