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

File: <base>/training/georgia/g8/E07982.hea (717 bytes)
E07982 12 500 5000
E07982.mat 16x1+24 1000.0(0)/mV 16 0 -68 12075 0 I
E07982.mat 16x1+24 1000.0(0)/mV 16 0 -136 23309 0 II
E07982.mat 16x1+24 1000.0(0)/mV 16 0 -68 12091 0 III
E07982.mat 16x1+24 1000.0(0)/mV 16 0 102 -17691 0 aVR
E07982.mat 16x1+24 1000.0(0)/mV 16 0 0 -32606 0 aVL
E07982.mat 16x1+24 1000.0(0)/mV 16 0 -102 -15103 0 aVF
E07982.mat 16x1+24 1000.0(0)/mV 16 0 9 18439 0 V1
E07982.mat 16x1+24 1000.0(0)/mV 16 0 -29 28348 0 V2
E07982.mat 16x1+24 1000.0(0)/mV 16 0 -97 -11226 0 V3
E07982.mat 16x1+24 1000.0(0)/mV 16 0 -126 28987 0 V4
E07982.mat 16x1+24 1000.0(0)/mV 16 0 -117 32421 0 V5
E07982.mat 16x1+24 1000.0(0)/mV 16 0 -122 -9970 0 V6
# Age: 65
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown