Publication | Closed Access
A new interpretation of nonlinear energy operator and its efficacy in spike detection
386
Citations
19
References
1998
Year
ElectroencephalographySocial SciencesEnergy ContentNeurodynamicsNonlinear ProcessTimefrequency AnalysisSignal DetectionNew InterpretationNeuroimagingNonlinear Signal ProcessingLinear OscillatorSignal ProcessingNonlinear Energy OperatorSpike DetectionNeurophysiologyComputational NeuroscienceEeg Signal ProcessingElectrophysiologyNeuroscienceWaveform Analysis
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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