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

File: <base>/training/georgia/g1/E00919.hea (734 bytes) 
E00919 12 500 5000
E00919.mat 16x1+24 1000.0(0)/mV 16 0 9 -6567 0 I
E00919.mat 16x1+24 1000.0(0)/mV 16 0 -209 -31622 0 II
E00919.mat 16x1+24 1000.0(0)/mV 16 0 -219 -25253 0 III
E00919.mat 16x1+24 1000.0(0)/mV 16 0 100 -13932 0 aVR
E00919.mat 16x1+24 1000.0(0)/mV 16 0 114 -23310 0 aVL
E00919.mat 16x1+24 1000.0(0)/mV 16 0 -214 -28665 0 aVF
E00919.mat 16x1+24 1000.0(0)/mV 16 0 -165 -30698 0 V1
E00919.mat 16x1+24 1000.0(0)/mV 16 0 -331 24127 0 V2
E00919.mat 16x1+24 1000.0(0)/mV 16 0 -424 -22412 0 V3
E00919.mat 16x1+24 1000.0(0)/mV 16 0 -453 1976 0 V4
E00919.mat 16x1+24 1000.0(0)/mV 16 0 -390 13975 0 V5
E00919.mat 16x1+24 1000.0(0)/mV 16 0 39 24101 0 V6
# Age: 74
# Sex: Female
# Dx: 17338001,251268003
# Rx: Unknown
# Hx: Unknown