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

File: <base>/training/georgia/g10/E09082.hea (761 bytes) 
E09082 12 500 5000
E09082.mat 16x1+24 1000.0(0)/mV 16 0 907 -30115 0 I
E09082.mat 16x1+24 1000.0(0)/mV 16 0 605 -15067 0 II
E09082.mat 16x1+24 1000.0(0)/mV 16 0 -302 15028 0 III
E09082.mat 16x1+24 1000.0(0)/mV 16 0 -756 -10212 0 aVR
E09082.mat 16x1+24 1000.0(0)/mV 16 0 605 10319 0 aVL
E09082.mat 16x1+24 1000.0(0)/mV 16 0 151 -39 0 aVF
E09082.mat 16x1+24 1000.0(0)/mV 16 0 -322 -29268 0 V1
E09082.mat 16x1+24 1000.0(0)/mV 16 0 1346 -32245 0 V2
E09082.mat 16x1+24 1000.0(0)/mV 16 0 936 9412 0 V3
E09082.mat 16x1+24 1000.0(0)/mV 16 0 1161 -19087 0 V4
E09082.mat 16x1+24 1000.0(0)/mV 16 0 1161 -12152 0 V5
E09082.mat 16x1+24 1000.0(0)/mV 16 0 790 24081 0 V6
# Age: 61
# Sex: Male
# Dx: 713426002,39732003,425419005,164934002,164917005
# Rx: Unknown
# Hx: Unknown