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

File: <base>/training/georgia/g10/E09823.hea (726 bytes) 
E09823 12 500 5000
E09823.mat 16x1+24 1000.0(0)/mV 16 0 48 7808 0 I
E09823.mat 16x1+24 1000.0(0)/mV 16 0 0 -14041 0 II
E09823.mat 16x1+24 1000.0(0)/mV 16 0 -48 -21517 0 III
E09823.mat 16x1+24 1000.0(0)/mV 16 0 -24 -29734 0 aVR
E09823.mat 16x1+24 1000.0(0)/mV 16 0 48 -18385 0 aVL
E09823.mat 16x1+24 1000.0(0)/mV 16 0 -24 -17750 0 aVF
E09823.mat 16x1+24 1000.0(0)/mV 16 0 146 26636 0 V1
E09823.mat 16x1+24 1000.0(0)/mV 16 0 185 -22870 0 V2
E09823.mat 16x1+24 1000.0(0)/mV 16 0 -58 -18841 0 V3
E09823.mat 16x1+24 1000.0(0)/mV 16 0 -19 -27080 0 V4
E09823.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19320 0 V5
E09823.mat 16x1+24 1000.0(0)/mV 16 0 -48 28334 0 V6
# Age: 68
# Sex: Male
# Dx: 427084000,284470004
# Rx: Unknown
# Hx: Unknown