Evidence map›Paper›PMID 39409418›Full record

ArticleSensors (Basel, Switzerland)2024

The Development of a Multicommand Tactile Event-Related Potential-Based Brain-Computer Interface Utilizing a Low-Cost Wearable Vibrotactile Stimulator.

Manorot Borirakarawin, Nannaphat Siribunyaphat, Si Thu Aung, Yunyong Punsawad

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Manorot BorirakarawinFaculty of Science and Technology, Nakhon Si Thammarat Rajabhat University, Nakhon Si Thammarat 80280, Thailand.
Nannaphat SiribunyaphatSchool of Informatics, Walailak University, Nakhon Si Thammarat 80160, Thailand.ORCID 0000-0002-9838-6225
Si Thu AungDepartment of Mathematics, University at Buffalo, State University of New York, Buffalo, NY 14260-2900, USA.
Yunyong PunsawadSchool of Informatics, Walailak University, Nakhon Si Thammarat 80160, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A tactile event-related potential (ERP)-based brain-computer interface (BCI) system is an alternative for enhancing the control and communication abilities of quadriplegic patients with visual or auditory impairments. Hence, in this study, we proposed a tactile stimulus pattern using a vibrotactile stimulator for a multicommand BCI system. Additionally, we observed a tactile ERP response to the target from random vibrotactile stimuli placed in the left and right wrist and elbow positions to create commands. An experiment was conducted to explore the location of the proposed vibrotactile stimulus and to verify the multicommand tactile ERP-based BCI system. Using the proposed features and conventional classification methods, we examined the classification efficiency of the four commands created from the selected EEG channels. The results show that the proposed vibrotactile stimulation with 15 stimulus trials produced a prominent ERP response in the Pz channels. The average classification accuracy ranged from 61.9% to 79.8% over 15 stimulus trials, requiring 36 s per command in offline processing. The P300 response in the parietal area yielded the highest average classification accuracy. The proposed method can guide the development of a brain-computer interface system for physically disabled people with visual or auditory impairments to control assistive and rehabilitative devices.

Indexed as

Brain-Computer InterfacesElectroencephalographyTouchVibrationWearable Electronic DevicesAdultEvent-Related Potentials, P300Evoked PotentialsFemaleHumansMaleYoung Adultbrain–computer interfaceelectroencephalographyEmotiv EPOC Flexevent-related potential (ERP)tactile stimulation

Identifiers

PMID39409418
PMCPMC11479116

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.