Frequency-Domain Objective Response Detection Techniques Applied to Evoked Potentials: A Review

Melges, Danilo Barbosa; Sá, Antônio Maurício Ferreira Leite Miranda de; Infantosi, Antonio Fernando Catelli

doi:10.5772/36356

Cited by 4 publications

(4 citation statements)

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“…Based on the model of VEP generation for conventional setups (Melges et al, 2012), a model for the novel setup was proposed, in which the output signal was composed by NFS an FS responses. As suggested by Infantosi et al (2005), that evaluated a null hypothesis of absence of response by using STF, in this work the null hypothesis of absence of effects of NFS within the VEP elicited by the FS was used, with a significance level of 5%.…”

Section: Discussionmentioning

confidence: 99%

“…These techniques are based on statistical tests that allow inferring about the presence of sensory response (Simpson et al, 2000). First, a model of VEP generation in the novel setup context is proposed, adopting the same approach of conventional model of evoked potential generation described by Melges et al (2012). Next, a null hypothesis of absence of effects of NFS within VEP elicited by FS is evaluated, as reported by Infantosi et al (2005).…”

Section: Introductionmentioning

confidence: 99%

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Statistical evaluation of a novel SSVEP-BCI stimulation setup based on depth-of-field

et al. 2015

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Introduction:The main drawback of a Brain-computer Interface based on Steady-State Visual Evoked Potential (SSVEP-BCI) that detects the emergence of visual evoked potentials (VEP) in reaction to flickering stimuli is its muscular dependence due to users must redirect their gaze to put the target stimulus in their field of view.In this work, a novel setup is evaluated in which two stimuli are placed together in the center of users' field of view, but with dissimilar distances from them, so that the target selection is performed by focus shifting instead of head, neck and/or eyeball movements. Methods: A model of VEP generation for the novel setup was developed. The Spectral F-test based on Bartett periodogram was used to evaluate the null hypothesis of absence of effects of the non-focused stimulus (NFS) within the VEP elicited by the focused stimulus (FS).To reinforce that there is not statistical evidence to support the presence of NFS effects, the PSDA detection method was employed to find the frequency of FS. Electroencephalographic signals of nine subjects were recorded. Results: Approximately in 80% of the tests, the null hypothesis with 5% level of significance was non-rejected at the fundamental frequency of NFS. The average of the accuracy rate attained with PSDA detection method was 79.4%. Conclusion: Results of this work become further evident to state that if the focused stimulus (FS) will be able to elicit distinguishable VEP pattern regardless the non-focused stimulus (NFS) is also present.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Statistical evaluation of a novel SSVEP-BCI stimulation setup based on depth-of-field

et al. 2015

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“…Finally, the frequencies with best detection rates were the same reported by Infantosi et al (2006) and Melges et al (2012b), which used uni and multivariate ORD.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the investigation of multivariate extensions of these techniques would allow obtaining detectors with higher performances for identification of visual (Felix et al, 2007) or somatosensory (Melges et al, 2012b) stimulation response. Finally, the frequencies with best detection rates were the same reported by Infantosi et al (2006) and Melges et al (2012b), which used uni and multivariate ORD.…”

Section: Discussionmentioning

confidence: 99%

Rice Detector: Proposal of a Novel Objective Response Detection Technique

Júnior¹,

Melges²,

Infantosi³

et al. 2013

RBEB

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Towards Real-Time Detection of Auditory Steady-State Responses: A Comparative Study

2021

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To objectively evaluate weak neural responses such as auditory steady-state responses (ASSRs) often involves repetitive measurements, after which the accumulated trials are averaged or analyzed by statistical methods to detect a significant response. Such detection methods are often performed off-line on all measured trials. However, the number of required trials, and therefore the measurement time, is often heuristically chosen, and might be suboptimal. In this work, we compared three real-time signaldetection algorithms that could yield improved detection performance, at reduced measurement time. The classical Neyman-Pearson (NP) detector was evaluated by quantifying the signal-to-noise ratio (SNR), and detection probability of ASSRs, as a function of accumulated trial number. We also analyzed the performance of the Bayes factor (BF) to detect ASSRs at different thresholds. Finally, we modified the sequential probability ratio test (SPRT), with a cropped maximum likelihood (ML) estimator, such that it can detect ASSRs (with unknown SNRs) sequentially. We compared the three real-time detectors by using Monte Carlo simulation, and evaluated their performance on detecting ASSRs, generated from the superposition of a pair of amplitude-modulated (AM) tones near 40 Hz in the EEG of nine subjects with normal hearing. The low-order ASSRs (i.e., envelope frequency-following responses) have been sufficiently evaluated in the literature. However, the higher-order ASSRs might reflect further nonlinear mechanisms in the upper ascending auditory pathway. Results show that the real-time detectors can detect not only all loworder ASSRs but also higher-order ASSRs at frequencies with lower SNR. The NP detector yielded the best simulation and actual detection performance. For all subjects, the second-order ASSRs could already be detected with the NP and BF detectors within five trials, but more trials were needed for the modified SPRT detector. In general, higher-order ASSRs require more trials to detect, with the exception of ASSRs near 40 Hz and 80 Hz. In conclusion, compared with traditional off-line detectors, both (real-time) NP and BF detectors showed improved detection performance, and their application in EEG experiments can save valuable measurement time.INDEX TERMS Auditory steady-state response, amplitude modulation stimuli, Bayes factor, EEG, highorder monaural beats, Neyman-Pearson detector, spectral F test, sequential probability ratio test.

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Frequency-Domain Objective Response Detection Techniques Applied to Evoked Potentials: A Review

Cited by 4 publications

References 77 publications

Statistical evaluation of a novel SSVEP-BCI stimulation setup based on depth-of-field

Statistical evaluation of a novel SSVEP-BCI stimulation setup based on depth-of-field

Rice Detector: Proposal of a Novel Objective Response Detection Technique

Towards Real-Time Detection of Auditory Steady-State Responses: A Comparative Study

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