|
Research article summary:
Multi-channel evoked response detection using only phase information.
Abstract Extract:
The phase consistency of contiguous segments of the electroencephalogram (EEG) has been used in the detection of evoked responses to rhythmic stimulation. One of such techniques is the component synchrony measure (CSM), which is often used since the ... (Full abstract text below) Published 2003Oct
in Journal: J Neurosci Methods
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. J Neurosci Methods.
2003 Oct;129(1):1-10
Multi-channel evoked response detection using only phase information.
Miranda de Sá AM, Felix LB
Department of Electrical Engineering (DEPEL), Federal University of São João del Rei (UFSJ), Praça Frei Orlando, 170, Centro, São João del Rei, CEP 36307-352 Minas Gerais, Brazil. amiranda@ufsj.edu.br
The phase consistency of contiguous segments of the electroencephalogram (EEG) has been used in the detection of evoked responses to rhythmic stimulation. One of such techniques is the component synchrony measure (CSM), which is often used since the threshold for the detection task is easily obtained based on the estimates of asymptotic sample distribution. In this work we investigated the appropriateness of such thresholds for practical number of segments (M). The performance of CSM was next evaluated by Monte Carlo simulations with different signal-to-noise ratios (SNR) and values of M, and the results, compared with those for the magnitude-squared coherence. A way of improving the detection with CSM was also proposed, by suggesting the estimation taking into account the mean phase angle of a set of N signals. This multivariate detector was evaluated in simulations and an illustration of the technique was also given with the EEG of 14 subjects during photic stimulation. In simulated signals with equal SNR, the detection rate with this multivariate measure increased with N. The application to EEG data lead to similar results in 70% of the subjects, which suggests that improvements might be expected when more signals are available to detect evoked responses in EEG.
PMID : 12951227 [PubMed - Indexed for MEDLINE]
This information is obtained from the National Library of Medicine (NLM). Abstract text and other information may be subject to copyright. Type "NLM copyright" into Google for more information.
Full Author Information
| First Name | LastName | Initials |
| Antonio Mauricio F L | Miranda de Sá | AM |
| Leonardo B | Felix | LB |
Affiliation: Department of Electrical Engineering (DEPEL), Federal University of São João del Rei (UFSJ), Praça Frei Orlando, 170, Centro, São João del Rei, CEP 36307-352 Minas Gerais, Brazil. amiranda@ufsj.edu.br
3rd Party provider links
Click the links below to go to related 3rd party information:
MESH categories and related page links
This article was linked to the MESH categories shown on the left below. The links on the right are related Memletics pages.
Category links from this article:- Acoustic Stimulation
- Computer Simulation
- Cortical Synchronization
- Electroencephalography - methods
- Evoked Potentials, Auditory - physiology
- Evoked Potentials, Visual - physiology
- Humans
- Models, Neurological
- Monte Carlo Method
- Photic Stimulation
- Probability
- Sensitivity and Specificity
- Sensory Thresholds
- Signal Detection (Psychology) - physiology
- Signal Processing, Computer-Assisted
| | Related Memletics topics: |
Links for this articleFor links to places where you can get the full text of this article see links. Note there may be a subscription or fee required for access to the full text. New! Using similar technology to this site, we have launched find-health-articles.com, targeting over 1 million health research article abstracts. Related ArticlesHere are some articles related to this one (by title keywords): Keywords in this article:account, angle, application, appropriateness, asymptotic, available, based, carlo, coherence, compared, component, consistency, contiguous, csm, data, detection, detector, different, distribution, easily, eeg, electroencephalogram, equal, estimates, estimation, evaluated, evoked, expected, given, illustration, improvements, improving, increased, investigated, lead, magnitude, mean, measure, monte, more, multivariate, next, noise, number, one, performance, phase, photic, practical, proposed, rate, ratios, responses, results, rhythmic, sample, segments, set, signal, signals, similar, simulated, simulations, snr, squared, stimulation, subjects, suggesting, suggests, synchrony, taking, task, techniques, threshold, thresholds, values, way, work
|
