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

File: <base>/training/georgia/g10/E09524.hea (729 bytes) 
E09524 12 500 5000
E09524.mat 16x1+24 1000.0(0)/mV 16 0 -278 -5112 0 I
E09524.mat 16x1+24 1000.0(0)/mV 16 0 -497 8609 0 II
E09524.mat 16x1+24 1000.0(0)/mV 16 0 -219 13843 0 III
E09524.mat 16x1+24 1000.0(0)/mV 16 0 387 -1723 0 aVR
E09524.mat 16x1+24 1000.0(0)/mV 16 0 -29 23287 0 aVL
E09524.mat 16x1+24 1000.0(0)/mV 16 0 -358 -21590 0 aVF
E09524.mat 16x1+24 1000.0(0)/mV 16 0 2415 10609 0 V1
E09524.mat 16x1+24 1000.0(0)/mV 16 0 795 15775 0 V2
E09524.mat 16x1+24 1000.0(0)/mV 16 0 400 -9730 0 V3
E09524.mat 16x1+24 1000.0(0)/mV 16 0 -141 -27338 0 V4
E09524.mat 16x1+24 1000.0(0)/mV 16 0 -1215 -12262 0 V5
E09524.mat 16x1+24 1000.0(0)/mV 16 0 -224 -22920 0 V6
# Age: 43
# Sex: Male
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown