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

File: <base>/training/georgia/g10/E09809.hea (744 bytes) 
E09809 12 500 5000
E09809.mat 16x1+24 1000.0(0)/mV 16 0 53 8523 0 I
E09809.mat 16x1+24 1000.0(0)/mV 16 0 48 -5597 0 II
E09809.mat 16x1+24 1000.0(0)/mV 16 0 -4 -14181 0 III
E09809.mat 16x1+24 1000.0(0)/mV 16 0 -51 -1649 0 aVR
E09809.mat 16x1+24 1000.0(0)/mV 16 0 29 11017 0 aVL
E09809.mat 16x1+24 1000.0(0)/mV 16 0 21 -9425 0 aVF
E09809.mat 16x1+24 1000.0(0)/mV 16 0 9 5287 0 V1
E09809.mat 16x1+24 1000.0(0)/mV 16 0 24 31202 0 V2
E09809.mat 16x1+24 1000.0(0)/mV 16 0 53 23229 0 V3
E09809.mat 16x1+24 1000.0(0)/mV 16 0 19 -4369 0 V4
E09809.mat 16x1+24 1000.0(0)/mV 16 0 -24 -5587 0 V5
E09809.mat 16x1+24 1000.0(0)/mV 16 0 -9 -361 0 V6
# Age: 73
# Sex: Male
# Dx: 164873001,67741000119109,266249003,164934002,111975006
# Rx: Unknown
# Hx: Unknown