How stimulation speed affects Event-Related Potentials and BCI performance

Höhne, Johannes; Tangermann, Michael

doi:10.1109/embc.2012.6346300

Cited by 17 publications

(26 citation statements)

References 13 publications

(21 reference statements)

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“…Each tone had a length of 150 ms, followed by an inter stimulus interval (ISI) of 250 ms, thus the stimulus onset asynchrony (SOA) was 400 ms. The choice of the timing parameters was motivated by the results of previous studies which showed that the choice of stimulation speed is crucial for performance with auditory BCIs (Höhne and Tangermann, 2012 ; Käthner et al, 2013 ). Höhne and Tangermann ( 2012 ) tested SOAs between 50 and 1000 ms in a simple auditory oddball paradigm and found increasing P300 amplitudes with slower stimulation speed.…”

Section: Methodsmentioning

confidence: 99%

An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user

Simon

Käthner

Ruf

et al. 2015

Front. Hum. Neurosci.

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Brain-computer interfaces (BCIs) can serve as muscle independent communication aids. Persons, who are unable to control their eye muscles (e.g., in the completely locked-in state) or have severe visual impairments for other reasons, need BCI systems that do not rely on the visual modality. For this reason, BCIs that employ auditory stimuli were suggested. In this study, a multiclass BCI spelling system was implemented that uses animal voices with directional cues to code rows and columns of a letter matrix. To reveal possible training effects with the system, 11 healthy participants performed spelling tasks on 2 consecutive days. In a second step, the system was tested by a participant with amyotrophic lateral sclerosis (ALS) in two sessions. In the first session, healthy participants spelled with an average accuracy of 76% (3.29 bits/min) that increased to 90% (4.23 bits/min) on the second day. Spelling accuracy by the participant with ALS was 20% in the first and 47% in the second session. The results indicate a strong training effect for both the healthy participants and the participant with ALS. While healthy participants reached high accuracies in the first session and second session, accuracies for the participant with ALS were not sufficient for satisfactory communication in both sessions. More training sessions might be needed to improve spelling accuracies. The study demonstrated the feasibility of the auditory BCI with healthy users and stresses the importance of training with auditory multiclass BCIs, especially for potential end-users of BCI with disease.

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Section: Methodsmentioning

confidence: 99%

An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user

Simon

Käthner

Ruf

et al. 2015

Front. Hum. Neurosci.

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“…Accordingly, the EP used a short SOA of 120 ms comprised by a brief yet supraliminal flash duration of 70 ms followed by a short inter-stimulus interval (ISI) of 50 ms, the time intervening between the flash termination and the onset of the next flash. In auditory ERP BCIs, Höhne and Tangermann found an individually optimized SOA preferable to fixed values [42]. Accordingly, this principle was extended from the auditory to the visual domain as an individually optimized SOA embodied within the EP in the present investigation.…”

Section: B Flashing Techniquesmentioning

confidence: 78%

Introducing the Edges Paradigm: A P300 Brain–Computer Interface for Spelling Written Words

Obeidat

Campbell

Kong

2015

IEEE Trans. Human-Mach. Syst.

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P300-based brain computer interface spellers employ the P300 component, which is derived from scalp measured electroencephalogram (EEG) during the brain's electrical response to a flash denoting an attended target character. The most popular P300 speller, the row column paradigm (RCP), displays characters in a matrix within which rows and columns of characters are flashed eliciting P300 responses when the illuminated row or column contains the attended target character. Despite being a longstanding successful approach, this RCP faces several challenges, including the adjacency and crowding problems. A new P300 speller is introducedthe edges paradigm (EP). Distinct from existing P300 spellers, the EP presents a square adjacent to each column or row in the outer boundary of the matrix. By replacing each flash of a row or column with that square, this EP exhibited attenuated influences of crowding and adjacencyproblems known to perturb the RCP. In the copy-spelling mode, 14 neurologically normal participants demonstrated an improved accuracy of 93.3 ± 2.0% for the EP relative to 81.7 ± 2.8% for the RCP, alongside a faster communication rate. Subjective ratings also indicated that the EP caused significantly less fatigue, while increasing alertness and comfort.

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“…Therefore, we designed to extend epoch interval to be 500 ms (namely EXP-3) relative to the Emotiv headset device in order to improve an accuracy of ERP patterns. As a result, there was a report of an individual choice of the matrix size and inter stimulus interval (ISI) [8] and stimulus onset asynchrony (SOA) [9][10] highly beneficial with respect to BCI performance. In order to segment the EEG according to the onset and epoch interval, we used the hardware trigger signal sent by EEG headset wirelessly.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Effects of visual flickering stimuli for event-related potential recording

Dangruan

Jatadhammakorn

Luxsameepicheat

et al. 2016

2016 8th International Conference on Knowledge and Smart Technology (KST)

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Brain-Computer Interface (BCI) enables peoples with disabilities communicate the outer world by using electroencephalogram (EEG) signal. One of the most efficient paradigms, namely, the event-related potential (ERP) based BCI. As a result, the visual stimulation is being recognized to be a most efficient stimulus for a multiple BCI system. In this paper, therefore, we offline investigated the effects of visual flickering stimuli for ERP recording in terms of optimizing the parameter of visual simulation, which presents a time-locked EEG classification. Different experimental conditions were compared to achieve the best performance. The best experiment showed that the classification accuracy rate of 80% approximately when the stimulus epoch interval was 500 ms across 3 trials. It can be useful for implementing real-time multiple ERP based BCI system.

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How stimulation speed affects Event-Related Potentials and BCI performance

Cited by 17 publications

References 13 publications

An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user

An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user

Introducing the Edges Paradigm: A P300 Brain–Computer Interface for Spelling Written Words

Effects of visual flickering stimuli for event-related potential recording

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