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Objective. Personalized transcranial electrical stimulation (tES) has gained growing attention due to the substantial inter-individual variability in brain anatomy and physiology. While previous reviews have discussed the physiological…

Neurons and Cognition · Quantitative Biology 2025-11-06 Mo Wang , Kexin Zheng , Yingyue Xin , Xiang Chen , Yiling Liu , Huichun Luo , Jingsheng Tang , Tifei Yuan , Hongkai Wen , Pengfei Wei , Quanying Liu

Brain computer interface (BCI) provides promising applications in neuroprosthesis and neurorehabilitation by controlling computers and robotic devices based on the patient's intentions. Here, we have developed a novel BCI platform that…

Robotics · Computer Science 2017-07-25 Reza Abiri , Griffin Heise , Xiaopeng Zhao , Yang Jiang , Fateme Abiri

Motor imagery-based brain-computer interfaces (BCIs) use an individuals ability to volitionally modulate localized brain activity as a therapy for motor dysfunction or to probe causal relations between brain activity and behavior. However,…

A brain-computer interface (BCI) based on electroencephalography (EEG) can be useful for rehabilitation and the control of external devices. Five grasping tasks were decoded for motor execution (ME) and motor imagery (MI). During this…

Human-Computer Interaction · Computer Science 2022-12-15 Jeong-Hyun Cho , Byoung-Hee Kwon , Byeong-Hoo Lee

Currently, strokes are the leading cause of adult disability in the United States. Traditional treatment and rehabilitation options such as physical therapy and tissue plasminogen activator are limited in their effectiveness and ability to…

Signal Processing · Electrical Eng. & Systems 2020-08-20 Mohammad-Parsa Hosseini , Cecilia Hemingway , Jerard Madamba , Alexander McKee , Natalie Ploof , Jennifer Schuman , Elliot Voss

With the recent developments in neuroscience and engineering, it is now possible to record brain signals and decode them. Also, a growing number of stimulation methods have emerged to modulate and influence brain activity. Current…

Systems and Control · Electrical Eng. & Systems 2024-01-18 Hoda Fares , Margherita Ronchini , Milad Zamani , Hooman Farkhani , Farshad Moradi

The analysis of brain connectivity aims to understand the emergence of functional networks into the brain. This information can be used in the process of electroencephalographic (EEG) signal analysis and classification for a braincomputer…

Neurons and Cognition · Quantitative Biology 2020-07-28 J. A. Gaxiola-Tirado

Stroke is a leading cause of long-term disability and the second most common cause of death worldwide. Although acute treatments have advanced, recovery remains challenging and limited. Brain-computer interfaces (BCIs) have emerged as a…

Neurons and Cognition · Quantitative Biology 2025-10-10 Aniana Cruz , Marko Kuzmanoski , Gabriel Pires

Hemispheric strokes impair motor control in contralateral body parts, necessitating effective rehabilitation strategies. Motor Imagery-based Brain-Computer Interfaces (MI-BCIs) promote neuroplasticity, aiding the recovery of motor…

Signal Processing · Electrical Eng. & Systems 2025-01-06 Praveen K. Parashiva , Sagila Gangadaran , A. P. Vinod

Neurological and Physiological Disorders that impact emotional regulation each have their own unique characteristics which are important to understand in order to create a generalized solution to all of them. The purpose of this experiment…

Human-Computer Interaction · Computer Science 2024-11-25 Vedant Mehta

Brain-Computer Interface (BCI) is a powerful communication tool between users and systems, which enhances the capability of the human brain in communicating and interacting with the environment directly. Advances in neuroscience and…

Signal Processing · Electrical Eng. & Systems 2020-01-31 Xiaotong Gu , Zehong Cao , Alireza Jolfaei , Peng Xu , Dongrui Wu , Tzyy-Ping Jung , Chin-Teng Lin

This study presents a real-time, portable brain-computer interface (BCI) system designed to support hand rehabilitation for stroke patients. The system combines a low cost 3D-printed robotic exoskeleton with an embedded controller that…

Human-Computer Interaction · Computer Science 2025-10-21 F. M. Omar , A. M. Omar , K. H. Eyada , M. Rabie , M. A. Kamel , A. M. Azab

Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices. This review highlights the core decoding algorithms that enable multimodal BCIs, including a dissection of the elements, a unified view of…

Human-Computer Interaction · Computer Science 2025-02-06 Siyang Li , Hongbin Wang , Xiaoqing Chen , Dongrui Wu

Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is difficult to develop for a non-negligible proportion of users.…

Robot teleoperation systems face a common set of challenges including latency, low-dimensional user commands, and asymmetric control inputs. User control with Brain-Computer Interfaces (BCIs) exacerbates these problems through especially…

Brain-computer interfaces (BCIs) provide a direct pathway from the brain to external devices and have demonstrated great potential for assistive and rehabilitation technologies. Endogenous BCIs based on electroencephalogram (EEG) signals,…

Human-Computer Interaction · Computer Science 2023-09-08 Hanwen Wang , Yu Qi , Lin Yao , Yueming Wang , Dario Farina , Gang Pan

Intracranial language brain-computer interfaces (BCIs) are a promising route for restoring communication in people with severe motor and speech impairments, but clinical translation remains limited by fragmented evidence and unresolved…

Neurons and Cognition · Quantitative Biology 2026-03-17 Dongyi He , Wai Ting Siok , Nizhuan Wang

Brain Computer Interface technologies are popular methods of communication between the human brain and external devices. One of the most popular approaches to BCI is Motor Imagery. In BCI applications, the ElectroEncephaloGraphy is a very…

Human-Computer Interaction · Computer Science 2021-06-03 Javier Fumanal-Idocin , Yu-Kai Wang , Chin-Teng Lin , Javier Fernández , Jose Antonio Sanz , Humberto Bustince

As the proliferation of technology dramatically infiltrates all aspects of modern life, in many ways the world is becoming so dynamic and complex that technological capabilities are overwhelming human capabilities to optimally interact with…

Human-Computer Interaction · Computer Science 2012-11-06 Brent J. Lance , Scott E. Kerick , Anthony J. Ries , Kelvin S. Oie , Kaleb McDowell

Brain Computer Interface (BCI) can help patients of neuromuscular diseases restore parts of the movement and communication abilities that they have lost. Most of BCIs rely on mapping brain activities to device instructions, but limited…

Human-Computer Interaction · Computer Science 2017-05-23 Kang Wang , Xueqian Wang , Gang Li
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