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

File: <base>/training/georgia/g10/E09889.hea (725 bytes) 
E09889 12 500 5000
E09889.mat 16x1+24 1000.0(0)/mV 16 0 -58 -27306 0 I
E09889.mat 16x1+24 1000.0(0)/mV 16 0 19 22267 0 II
E09889.mat 16x1+24 1000.0(0)/mV 16 0 78 -15186 0 III
E09889.mat 16x1+24 1000.0(0)/mV 16 0 19 -30563 0 aVR
E09889.mat 16x1+24 1000.0(0)/mV 16 0 -68 -6161 0 aVL
E09889.mat 16x1+24 1000.0(0)/mV 16 0 48 -29303 0 aVF
E09889.mat 16x1+24 1000.0(0)/mV 16 0 -9 13122 0 V1
E09889.mat 16x1+24 1000.0(0)/mV 16 0 -39 -20094 0 V2
E09889.mat 16x1+24 1000.0(0)/mV 16 0 -68 10698 0 V3
E09889.mat 16x1+24 1000.0(0)/mV 16 0 -78 22296 0 V4
E09889.mat 16x1+24 1000.0(0)/mV 16 0 -126 -8903 0 V5
E09889.mat 16x1+24 1000.0(0)/mV 16 0 -87 25373 0 V6
# Age: 54
# Sex: Female
# Dx: 713426002,426177001
# Rx: Unknown
# Hx: Unknown