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

File: <base>/training/georgia/g6/E05982.hea (748 bytes) 
E05982 12 500 5000
E05982.mat 16x1+24 1000.0(0)/mV 16 0 24 -9875 0 I
E05982.mat 16x1+24 1000.0(0)/mV 16 0 283 -11427 0 II
E05982.mat 16x1+24 1000.0(0)/mV 16 0 258 -708 0 III
E05982.mat 16x1+24 1000.0(0)/mV 16 0 -153 11099 0 aVR
E05982.mat 16x1+24 1000.0(0)/mV 16 0 -117 28418 0 aVL
E05982.mat 16x1+24 1000.0(0)/mV 16 0 270 26648 0 aVF
E05982.mat 16x1+24 1000.0(0)/mV 16 0 -341 19862 0 V1
E05982.mat 16x1+24 1000.0(0)/mV 16 0 29 6219 0 V2
E05982.mat 16x1+24 1000.0(0)/mV 16 0 239 -22991 0 V3
E05982.mat 16x1+24 1000.0(0)/mV 16 0 263 -16026 0 V4
E05982.mat 16x1+24 1000.0(0)/mV 16 0 248 25920 0 V5
E05982.mat 16x1+24 1000.0(0)/mV 16 0 -122 4629 0 V6
# Age: 57
# Sex: Male
# Dx: 67741000119109,39732003,427084000,164873001
# Rx: Unknown
# Hx: Unknown