IEEE Transactions on Biomedical Engineering · 1998 · 389 citations · 19 references
EngineeringElectrical EngineeringNeuroscienceBiomedical Signal ProcessingElectrophysiologyNeural EngineeringElectroencephalogram AnalysisElectroencephalogram Signal ProcessingElectroencephalographyNeural OscillationsNeural Signal ProcessingSignal Detection TheoryElectroencephalogram Signal AnalysisEnergyFrequency Content AnalysisNeural Spike DetectionNonlinear Neural Signal AnalysisOscillator ModelingOscillator NonlinearitySpike Detection
Nonlinear energy operator (NEO) gives the estimate of energy content of a linear oscillator. This has been used to quantify the AM-FM modulating signals present in a sinusoid. In this paper, we give a new interpretation of NEO and extend its use in stochastic signals. We show that NEO accentuates the high-frequency content. This instantaneous nature of NEO and its very low computational burden make it an ideal tool for spike detection. The efficacy of the proposed method has been tested with simulated signals as well as with real electroencephalograms (EEG's).
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