13 papers · ranked by Valyu relevance
Simanto Saha, Khondaker A. Mamun, Khawza Ahmed, Raqibul Mostafa + 4 more
'Ganesh R. Naik' 'Sam Darvishi' 'Ahsan H. Khandoker' 'Mathias Baumert'] Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity…
M. F. Mridha, Sujoy Chandra Das, Muhammad Mohsin Kabir, Aklima Akter Lima + 3 more
'Aklima Akter Lima' 'Md. Rashedul Islam' 'Yutaka Watanobe' 'Sung-Phil Kim'] Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted…
Aleksandra Kawala-Sterniuk, Natalia Browarska, Amir Al-Bakri, Mariusz Pelc + 4 more
'Mariusz Pelc' 'Jaroslaw Zygarlicki' 'Michaela Sidikova' 'Radek Martinek' 'Edward Jacek Gorzelanczyk'] Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art…
Bradley J. Edelman, Shuailei Zhang, Gerwin Schalk, Peter Brunner + 3 more
'Gernot Müller-Putz' 'Cuntai Guan' 'Bin He'] Brain-computer interface (BCI) is a rapidly evolving technology that has the potential to widely influence research, clinical and recreational use. Non-invasive BCI approaches are particularly common as they can impact a large number of participants safely and at a…
Roberto Portillo-Lara, Bogachan Tahirbegi, Christopher A. R. Chapman, Josef A. Goding + 1 more
'Josef A. Goding' 'Rylie A. Green'] Brain-computer interfaces (BCIs) provide bidirectional communication between the brain and output devices that translate user intent into function. Among the different brain imaging techniques used to operate BCIs, electroencephalography (EEG) constitutes the preferred method of…
Eric C. Leuthardt, Daniel W. Moran, Tim R. Mullen
With the emergence of numerous brain computer interfaces (BCI), their form factors, and clinical applications the terminology to describe their clinical deployment and the associated risk has been vague. The terms “minimally invasive” or “non-invasive” have been commonly used, but the risk can vary widely based on the…
Abdelkader Nasreddine Belkacem, Nuraini Jamil, Sumayya Khalid, Fady Alnajjar
'Fady Alnajjar'] Emerging brain technologies have significantly transformed human life in recent decades. For instance, the closed-loop brain-computer interface (BCI) is an advanced software-hardware system that interprets electrical signals from neurons, allowing communication with and control of the environment. The…
Dylan Forenzo, Hao Zhu, Jenn Shanahan, Jaehyun Lim + 1 more
Brain-computer interfaces (BCI) using electroencephalography (EEG) provide a non-invasive method for users to interact with external devices without the need for muscle activation. While noninvasive BCIs have the potential to improve the lives of both healthy and motor impaired individuals, they currently have limited…
Hyun Jae Baek, Min Hye Chang, Jeong Heo, Kwang Suk Park
Brain-computer interfaces (BCIs) aim to enable people to interact with the external world through an alternative, nonmuscular communication channel that uses brain signal responses to complete specific cognitive tasks. BCIs have been growing rapidly during the past few years, with most of the BCI research focusing on…
Yuriy Mishchenko, Murat Kaya, Erkan Ozbay, Hilmi Yanar
Recent developments in BCI techniques have demonstrated high-performance control of robotic prosthetic systems primarily via invasive methods. In this work we develop an electroencephalography (EEG) based noninvasive BCI system that can be used for a similar, albeit lower-speed robotic control, and a signal processing…
Md. Ochiuddin Miah, Md. Mahfuzur Rahman, Rafsanjani Muhammod, Dewan Md. Farid
The classification of motor imagery electroencephalogram (MI-EEG) is a pivotal part of the biosignal classification in the brain-computer interface (BCI) applications. Currently, this bio-engineering based technology is being employed by researchers in various fields to develop cutting edge applications. The…
Kotaro Yamashiro, Nobuyoshi Matsumoto, Yuji Ikegaya
Brain-computer interface (BCI) technology has gained recognition in various fields, including clinical applications, assistive technology, and human-computer interaction research. BCI enables communication, control, and monitoring of the affective/cognitive states of users. Recently, BCI has also found applications in…
Md. Ochiuddin Miah, Rafsanjani Muhammod, Khondaker Abdullah Al Mamun, Dewan Md. Farid + 3 more
The classification of motor imagery electroencephalogram (MI-EEG) is a pivotal task in the biosignal classification process in the brain-computer interface (BCI) applications. Currently, this bio-engineering-based technology is being employed by researchers in various fields to develop cuttingedge applications. The…