Literature DB >> 10983714

Objective response detection in an electroencephalogram during somatosensory stimulation.

D M Simpson1, C J Tierra-Criollo, R T Leite, E J Zayen, A F Infantosi.   

Abstract

Techniques for objective response detection aim to identify the presence of evoked potentials based purely on statistical principles. They have been shown to be potentially more sensitive than the conventional approach of subjective evaluation by experienced clinicians and could be of great clinical use. Three such techniques to detect changes in an electroencephalogram (EEG) synchronous with the stimuli, namely, magnitude-squared coherence (MSC), the phase-synchrony measure (PSM) and the spectral F test (SFT) were applied to EEG signals of 12 normal subjects under conventional somatosensory pulse stimulation to the tibial nerve. The SFT, which uses only the power spectrum, showed the poorest performance, while the PSM, based only on the phase spectrum, gave results almost as good as those of the MSC, which uses both phase and power spectra. With the latter two techniques, stimulus responses were evident in the frequency range of 20-80 Hz in all subjects after 200 stimuli (5 Hz stimulus frequency), whereas for visual recognition at least 500 stimuli are usually applied. Based on these results and on simulations, the phase-based techniques appear promising for the automated detection and monitoring of somatosensory evoked potentials.

Mesh:

Year:  2000        PMID: 10983714     DOI: 10.1114/1.1305530

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  4 in total

1.  Coherence between one random and one periodic signal for measuring the strength of responses in the electro-encephalogram during sensory stimulation.

Authors:  de Sá A M F L Miranda; A F C Infantosi; D M Simpson
Journal:  Med Biol Eng Comput       Date:  2002-01       Impact factor: 2.602

2.  Some thoughts on the interpretation of steady-state evoked potentials.

Authors:  Sven P Heinrich
Journal:  Doc Ophthalmol       Date:  2010-01-26       Impact factor: 2.379

3.  Validation in principal components analysis applied to EEG data.

Authors:  João Carlos G D Costa; Paulo José G Da-Silva; Renan Moritz V R Almeida; Antonio Fernando C Infantosi
Journal:  Comput Math Methods Med       Date:  2014-09-08       Impact factor: 2.238

4.  Implementing a Smart Method to Eliminate Artifacts of Vital Signals.

Authors:  A Javadpour; A Mohammadi
Journal:  J Biomed Phys Eng       Date:  2015-12-01
  4 in total

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