Tracking rhythm in long-term EEG recordings using empirical mode calculation.
A novel algorithm for the detection and tracking of rhythmic patterns in the EEG signal is presented. The algorithm includes the following steps: 1) linear filtering using symmetric impulse response, 2) calculation of the first intrinsic mode of the filter output and 3) calculation of instantaneous frequency and amplitude using the Hilbert transform. The linear filter is adapted according to the instantaneous frequency. The algorithm is shown to perform well in tracking the alpha rhythm (the alpha coma pattern) in critically ill patients sedated with midazolam.
Lipping
Tarmo
T
Tampere University of Technology, Pori, Finland. tarmo.lipping@tut.fi
Anier
Andres
A
Ratsep
Indrek
I
Kleemann
Piret
P
Toome
Valdo
V
Jantti
Ville
V
D000465:Algorithms; D001921:Brain / Q000473:pathology*; D016638:Critical Illness; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D006993:Hypnotics and Sedatives / Q000494:pharmacology; D008874:Midazolam / Q000494:pharmacology; D015233:Models, Statistical; D008962:Models, Theoretical; D008991:Monitoring, Physiologic / Q000379:methods; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D012984:Software
D006993:Hypnotics and Sedatives; D008874:Midazolam