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

File: <base>/training/georgia/g10/E09233.hea (716 bytes) 
E09233 12 500 5000
E09233.mat 16x1+24 1000.0(0)/mV 16 0 53 -22867 0 I
E09233.mat 16x1+24 1000.0(0)/mV 16 0 43 -6862 0 II
E09233.mat 16x1+24 1000.0(0)/mV 16 0 -9 17064 0 III
E09233.mat 16x1+24 1000.0(0)/mV 16 0 -48 14693 0 aVR
E09233.mat 16x1+24 1000.0(0)/mV 16 0 31 -20567 0 aVL
E09233.mat 16x1+24 1000.0(0)/mV 16 0 17 5043 0 aVF
E09233.mat 16x1+24 1000.0(0)/mV 16 0 -43 -17658 0 V1
E09233.mat 16x1+24 1000.0(0)/mV 16 0 14 18496 0 V2
E09233.mat 16x1+24 1000.0(0)/mV 16 0 4 -2969 0 V3
E09233.mat 16x1+24 1000.0(0)/mV 16 0 102 -2452 0 V4
E09233.mat 16x1+24 1000.0(0)/mV 16 0 48 -29687 0 V5
E09233.mat 16x1+24 1000.0(0)/mV 16 0 58 -22055 0 V6
# Age: 68
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown