Literature DB >> 9473841

A new interpretation of nonlinear energy operator and its efficacy in spike detection.

S Mukhopadhyay1, G C Ray.   

Abstract

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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Year:  1998        PMID: 9473841     DOI: 10.1109/10.661266

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  36 in total

1.  Teager-Kaiser energy operator signal conditioning improves EMG onset detection.

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Authors:  Victoria Hodge; Mark Jessop; Martyn Fletcher; Michael Weeks; Aaron Turner; Tom Jackson; Colin Ingram; Leslie Smith; Jim Austin
Journal:  Neuroinformatics       Date:  2016-01

3.  Opposite effects of stimulant and antipsychotic drugs on striatal fast-spiking interneurons.

Authors:  Alexander B Wiltschko; Jeffrey R Pettibone; Joshua D Berke
Journal:  Neuropsychopharmacology       Date:  2010-01-20       Impact factor: 7.853

4.  An acoustical respiratory phase segmentation algorithm using genetic approach.

Authors:  F Jin; F Sattar; D Y T Goh
Journal:  Med Biol Eng Comput       Date:  2009-07-29       Impact factor: 2.602

5.  Statistical feature extraction for artifact removal from concurrent fMRI-EEG recordings.

Authors:  Zhongming Liu; Jacco A de Zwart; Peter van Gelderen; Li-Wei Kuo; Jeff H Duyn
Journal:  Neuroimage       Date:  2011-10-20       Impact factor: 6.556

6.  Interictal epileptiform discharge characteristics underlying expert interrater agreement.

Authors:  Elham Bagheri; Justin Dauwels; Brian C Dean; Chad G Waters; M Brandon Westover; Jonathan J Halford
Journal:  Clin Neurophysiol       Date:  2017-07-18       Impact factor: 3.708

7.  CLUSTERING OF INTERICTAL SPIKES BY DYNAMIC TIME WARPING AND AFFINITY PROPAGATION.

Authors:  John Thomas; Jing Jin; Justin Dauwels; Sydney S Cash; M Brandon Westover
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2016-05-19

8.  Falling-edge, variable threshold (FEVT) method for the automated detection of gastric slow wave events in high-resolution serosal electrode recordings.

Authors:  Jonathan C Erickson; Gregory O'Grady; Peng Du; Chibuike Obioha; Wenlian Qiao; William O Richards; L Alan Bradshaw; Andrew J Pullan; Leo K Cheng
Journal:  Ann Biomed Eng       Date:  2009-12-19       Impact factor: 3.934

9.  Unsupervised Stochastic Strategies for Robust Detection of Muscle Activation Onsets in Surface Electromyogram.

Authors:  S Easter Selvan; Didier Allexandre; Umberto Amato; Guang H Yue
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-06       Impact factor: 3.802

10.  Automated algorithm for GI spike burst detection and demonstration of efficacy in ischemic small intestine.

Authors:  Jonathan C Erickson; Raisa Velasco-Castedo; Chibuike Obioha; Leo K Cheng; Timothy R Angeli; Greg O'Grady
Journal:  Ann Biomed Eng       Date:  2013-04-24       Impact factor: 3.934

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