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

File: <base>/training/georgia/g10/E09752.hea (732 bytes) 
E09752 12 500 5000
E09752.mat 16x1+24 1000.0(0)/mV 16 0 -29 26011 0 I
E09752.mat 16x1+24 1000.0(0)/mV 16 0 -9 19678 0 II
E09752.mat 16x1+24 1000.0(0)/mV 16 0 19 -6418 0 III
E09752.mat 16x1+24 1000.0(0)/mV 16 0 19 -23325 0 aVR
E09752.mat 16x1+24 1000.0(0)/mV 16 0 -24 -16644 0 aVL
E09752.mat 16x1+24 1000.0(0)/mV 16 0 4 -26137 0 aVF
E09752.mat 16x1+24 1000.0(0)/mV 16 0 -19 31391 0 V1
E09752.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8139 0 V2
E09752.mat 16x1+24 1000.0(0)/mV 16 0 -117 -7508 0 V3
E09752.mat 16x1+24 1000.0(0)/mV 16 0 -107 -6128 0 V4
E09752.mat 16x1+24 1000.0(0)/mV 16 0 -9 28144 0 V5
E09752.mat 16x1+24 1000.0(0)/mV 16 0 -48 -23090 0 V6
# Age: 89
# Sex: Male
# Dx: 428750005,67741000119109,111975006,164934002
# Rx: Unknown