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

File: <base>/training/georgia/g10/E09242.hea (725 bytes) 
E09242 12 500 5000
E09242.mat 16x1+24 1000.0(0)/mV 16 0 126 16025 0 I
E09242.mat 16x1+24 1000.0(0)/mV 16 0 195 -27152 0 II
E09242.mat 16x1+24 1000.0(0)/mV 16 0 68 22381 0 III
E09242.mat 16x1+24 1000.0(0)/mV 16 0 -161 -27769 0 aVR
E09242.mat 16x1+24 1000.0(0)/mV 16 0 29 -3470 0 aVL
E09242.mat 16x1+24 1000.0(0)/mV 16 0 131 30449 0 aVF
E09242.mat 16x1+24 1000.0(0)/mV 16 0 -126 9472 0 V1
E09242.mat 16x1+24 1000.0(0)/mV 16 0 -107 -13678 0 V2
E09242.mat 16x1+24 1000.0(0)/mV 16 0 9 5271 0 V3
E09242.mat 16x1+24 1000.0(0)/mV 16 0 29 1474 0 V4
E09242.mat 16x1+24 1000.0(0)/mV 16 0 87 -73 0 V5
E09242.mat 16x1+24 1000.0(0)/mV 16 0 165 -26066 0 V6
# Age: 50
# Sex: Female
# Dx: 67741000119109,426177001
# Rx: Unknown
# Hx: Unknown