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

File: <base>/training/georgia/g10/E09173.hea (726 bytes) 
E09173 12 500 5000
E09173.mat 16x1+24 1000.0(0)/mV 16 0 -19 12183 0 I
E09173.mat 16x1+24 1000.0(0)/mV 16 0 146 -1290 0 II
E09173.mat 16x1+24 1000.0(0)/mV 16 0 165 -13346 0 III
E09173.mat 16x1+24 1000.0(0)/mV 16 0 -63 -5558 0 aVR
E09173.mat 16x1+24 1000.0(0)/mV 16 0 -92 -20101 0 aVL
E09173.mat 16x1+24 1000.0(0)/mV 16 0 156 25456 0 aVF
E09173.mat 16x1+24 1000.0(0)/mV 16 0 -234 -32525 0 V1
E09173.mat 16x1+24 1000.0(0)/mV 16 0 -322 28968 0 V2
E09173.mat 16x1+24 1000.0(0)/mV 16 0 -263 29711 0 V3
E09173.mat 16x1+24 1000.0(0)/mV 16 0 -29 24877 0 V4
E09173.mat 16x1+24 1000.0(0)/mV 16 0 58 25917 0 V5
E09173.mat 16x1+24 1000.0(0)/mV 16 0 87 -21012 0 V6
# Age: 82
# Sex: Male
# Dx: 59118001,164889003
# Rx: Unknown
# Hx: Unknown