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

File: <base>/training/georgia/g10/E09461.hea (730 bytes) 
E09461 12 500 5000
E09461.mat 16x1+24 1000.0(0)/mV 16 0 0 12129 0 I
E09461.mat 16x1+24 1000.0(0)/mV 16 0 0 25021 0 II
E09461.mat 16x1+24 1000.0(0)/mV 16 0 0 13019 0 III
E09461.mat 16x1+24 1000.0(0)/mV 16 0 0 -18691 0 aVR
E09461.mat 16x1+24 1000.0(0)/mV 16 0 0 32568 0 aVL
E09461.mat 16x1+24 1000.0(0)/mV 16 0 0 -13324 0 aVF
E09461.mat 16x1+24 1000.0(0)/mV 16 0 19 32680 0 V1
E09461.mat 16x1+24 1000.0(0)/mV 16 0 19 -12647 0 V2
E09461.mat 16x1+24 1000.0(0)/mV 16 0 0 8700 0 V3
E09461.mat 16x1+24 1000.0(0)/mV 16 0 126 -1245 0 V4
E09461.mat 16x1+24 1000.0(0)/mV 16 0 -195 24937 0 V5
E09461.mat 16x1+24 1000.0(0)/mV 16 0 -68 -14282 0 V6
# Age: 79
# Sex: Male
# Dx: 426434006,164934002,111975006,164873001
# Rx: Unknown
# Hx: Unknown