18 papers · ranked by Valyu relevance
Kyungho Won, Moonyoung Kwon, Minkyu Ahn, Sung Chan Jun
As attention to deep learning techniques has grown, many researchers have attempted to develop ready-to-go brain-computer interfaces (BCIs) that include automatic processing pipelines. However, to do so, a large and clear dataset is essential to increase the model’s reliability and performance. Accordingly, our…
Jiahui Pan, XueNing Chen, Nianming Ban, JiaShao He + 2 more
'Haiyun Huang'] A brain-computer interface (BCI) is a non-muscular communication technology that provides an information exchange channel for our brains and external devices. During the decades, BCI has made noticeable progress and has been applied in many fields. One of the most traditional BCI applications is the BCI…
Zhaohua Lu, Qi Li, Ning Gao, Jingjing Yang + 1 more
Objective Although many studies have attempted to improve the performance of the visual-based P300-speller system, its performance is still not satisfactory. The current system has limitations for patients with neurodegenerative diseases, in which muscular control of the eyes may be impaired or deteriorate over time.…
Kyungho Won, Moonyoung Kwon, Sehyeon Jang, Minkyu Ahn + 1 more
'Sung Chan Jun'] Brain-computer interface (BCI) systems were developed so that people can control computers or machines through their brain activity without moving their limbs. The P300 speller is one of the BCI applications used most commonly, as is very simple and reliable and can achieve satisfactory performance.…
Mikhail A Lebedev, Anna V Makarova, Daria F Kleeva, Archil I Maysuradze
The advent of large-language models (LLMs) offers a transformative approach for improving the performance of brain-computer interface (BCI) spellers. We propose a novel framework that leverages the contextual understanding of LLMs to compensate for imperfect BCI decoding. Using existing P300 speller data, we simulated…
Qi Li, Zhaohua Lu, Ning Gao, Jingjing Yang
Objective: P300-speller is the most commonly used brain-computer interface (BCI) for providing a means of communication to patients with amyotrophic lateral sclerosis. However, the performance of the P300-speller BCI is still inadequate. We investigated whether the performance of P300-speller can be further improved by…
Nikita Paplavsky, Mikhail Lebedev
P300 spellers convert electroencephalographic (EEG) activity into text by presenting users with a matrix of flickering characters. While these systems can achieve high classification accuracy, communication is severely slowed by the need for many stimulus repetitions to obtain a reliable signal. Reducing repetitions…
Vaishakhi Mayya, Boyla O. Mainsah, Galen Reeves
—The P300 speller is a brain-computer interface that enables people with neuromuscular disorders to communicate based on eliciting event-related potentials (ERP) in electroencephalography (EEG) measurements. One challenge to reliable communication is the presence of refractory effects in the P300 ERP that induces…
Nithin Parthasarathy, James Soetedjo, Saarang Panchavati, Nitya Parthasarathy + 3 more
'Nitya Parthasarathy' 'Corey Arnold' 'Nader Pouratian' 'William Speier'] Amyotrophic lateral sclerosis (ALS) severely impairs patients' ability to communicate, often leading to a decline in their quality of life within a few years of diagnosis. The P300 speller brain-computer interface (BCI) offers an alternative…
Nithin Parthasarathy, James Soetedjo, Saarang Panchavati, Nitya Parthasarathy + 3 more
With Cross-Subject Training Authors: ['Nithin Parthasarathy' 'James Soetedjo' 'Saarang Panchavati' 'Nitya Parthasarathy' 'Corey Arnold' 'Nader Pouratian' 'William Speier'] Amyotrophic lateral sclerosis (ALS), a progressive neuromuscular degenerative disease, severely restricts patient communication capacity within a…
Jiazhen Hong, Weinan Wang, Laleh Najafizadeh
Improved Sentence Composition in Realistic Scenarios Authors: ['Jiazhen Hong' 'Weinan Wang' 'Laleh Najafizadeh'] Abstract. P300 speller brain computer interfaces (BCIs) allow users to compose sentences by selecting target keys on a graphical user interface (GUI) through the detection of P300 component in their…
Amir Mohammad Mijani, Mohammad Bagher Shamsollahi, Mohsen Sheikh Hassani
A speller system enables disabled people, specifically those with spinal cord injuries, to visually select and spell characters. A problem of primary speller systems is that they are gaze shift dependent. To overcome this problem, a single RSVP paradigm was introduced in which characters are displayed one by one at the…
Alberto Casagrande, Joanna Jarmolowska, Marcello Turconi, Francesco Fabris + 2 more
'Francesco Fabris' 'Pierpaolo Busan' 'Piero Paolo Battaglini'] P300 is an electric signal emitted by brain about 300 milliseconds after a rare, but relevant-for-the-user event. One of the applications of this signal is sentence spelling that enables subjects who lost the control of their motor pathways to communicate…
R. Ron-Angevin, L. Garcia, Á. Fernández-Rodríguez, J. Saracco + 2 more
'J. M. André' 'V. Lespinet-Najib'] The vast majority of P300-based brain-computer interface (BCI) systems are based on the well-known P300 speller presented by Farwell and Donchin for communication purposes and an alternative to people with neuromuscular disabilities, such as impaired eye movement. The purpose of the…
Hubert Cecotti, Bertrand Rivet
The P300 speller is a well known Brain-Computer Interface paradigm that has been used for over two decades. A new P300 speller paradigm (XP300) is proposed. It includes several characteristics: (i) the items are not intensified by using rows and columns, (ii) the order of the visual stimuli is pseudo-random, (iii) a…
Luiza Kirasirova, Vladimir Bulanov, Alexei Ossadtchi, Alexander Kolsanov + 2 more
P300 brain-computer interface (BCI) is an experimental and clinical paradigm, where visual evoked potentials (VEPs) triggered by an attended stimulus are used to communicate users’ messages to the outside world. In a typical implementation, called P300 speller, a subject looks at a display where text characters are…
Xiao Zhang, Dongrui Wu, Lieyun Ding, Hanbin Luo + 3 more
'Tzyy‐Ping Jung' 'Ricardo Chavarriaga'] An electroencephalogram (EEG) based brain-computer interface (BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g., amyotrophic lateral sclerosis patients, who have no other effective means of…
Álvaro Fernández-Rodríguez, Francisco Velasco-Álvarez, María Teresa Medina-Juliá, Ricardo Ron-Angevín
'María Teresa Medina-Juliá' 'Ricardo Ron-Angevín'] Objective: Previous works using a visual P300-based speller have reported an improvement modifying the shape or colour of the presented stimulus. However, the effects of both blended factors have not been yet studied. Thus, the aim of the present work was to study both…