A mimetic-based frequency domain technique for automatic generation of EEG reports.
This paper describes a novel mimetic technique of using frequency domain approach and digital filters for automatic generation of EEG reports. Digitized EEG data files, transported on a cartridge, have been used for the analysis. The signals are filtered for alpha, beta, theta, and delta bands with digital bandpass filters of fourth-order, cascaded, Butterworth, infinite impulse response (IIR) type. The maximum amplitude, mean frequency, continuity index and degree of asymmetry have been computed for a given EEG frequency band. Finally, searches for the presence of artifacts (eye movement or muscle artifacts) in the EEG records have been made.
Pradhan
N
N
Department of Psychopharmacology, National Institute of Mental Health & Neurosciences, Bangalore, India.
Dutt
D N
DN
Satyam
S
S
D000465:Algorithms; D000513:Alpha Rhythm; D016477:Artifacts; D001611:Beta Rhythm; D003663:Decision Trees; D003700:Delta Rhythm; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods / Q000592:standards*; D005069:Evaluation Studies as Topic; D005133:Eye Movements; D005583:Fourier Analysis; D006801:Humans; D009119:Muscle Contraction; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D013826:Theta Rhythm