Advanced search    

Search: authors:"Cuntai Guan"

12 papers found.
Use AND, OR, NOT, +word, -word, "long phrase", (parentheses) to fine-tune your search.

A closed-loop, music-based brain-computer interface for emotion mediation

in this paper. 20 / 24 Author Contributions Data curation: Stefan K. Ehrlich. Formal analysis: Stefan K. Ehrlich. Conceptualization: Stefan K. Ehrlich, Kat R. Agres, Cuntai Guan, Gordon Cheng ... . Funding acquisition: Cuntai Guan, Gordon Cheng. Investigation: Stefan K. Ehrlich, Kat R. Agres. Methodology: Stefan K. Ehrlich, Cuntai Guan, Gordon Cheng. Resources: Cuntai Guan, Gordon Cheng. Software

Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity disorder

journals • PubMed • Google Scholar Search for Cuntai Guan in:Nature Research journals • PubMed • Google Scholar Search for Tih-Shih Lee in:Nature Research journals • PubMed • Google Scholar Search for

Brain plasticity following MI-BCI training combined with tDCS in a randomized trial in chronic subcortical stroke subjects: a preliminary study

journals • PubMed • Google Scholar Search for Kok Soon Phua in:Nature Research journals • PubMed • Google Scholar Search for Cuntai Guan in:Nature Research journals • PubMed • Google Scholar Search for

Real-Time Subject-Independent Pattern Classification of Overt and Covert Movements from fNIRS Signals

Recently, studies have reported the use of Near Infrared Spectroscopy (NIRS) for developing Brain–Computer Interface (BCI) by applying online pattern classification of brain states from subject-specific fNIRS signals. The purpose of the present study was to develop and test a real-time method for subject-specific and subject-independent classification of multi-channel fNIRS...

Facilitating motor imagery-based brain–computer interface for stroke patients using passive movement

Motor imagery-based brain–computer interface (MI-BCI) has been proposed as a rehabilitation tool to facilitate motor recovery in stroke. However, the calibration of a BCI system is a time-consuming and fatiguing process for stroke patients, which leaves reduced time for actual therapeutic interaction. Studies have shown that passive movement (PM) (i.e., the execution of a...

Independent Mobility Achieved through a Wireless Brain-Machine Interface

Individuals with tetraplegia lack independent mobility, making them highly dependent on others to move from one place to another. Here, we describe how two macaques were able to use a wireless integrated system to control a robotic platform, over which they were sitting, to achieve independent mobility using the neuronal activity in their motor cortices. The activity of...

Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm

Yuanqing Li Cuntai Guan The focus of this paper is on joint feature re-extraction and classification in cases when the training data set is small. An iterative semi-supervised support vector machine

A pilot randomized controlled trial using EEG-based brain–computer interface training for a Chinese-speaking group of healthy elderly

Phillips,2 Cuntai Guan,3 Yin Bun Cheung,4 Lei Feng,5 Chuan Chu Wang,3 Zheng Yang Chin,3 Haihong Zhang,3 Jimmy Lee,6 Tze Pin Ng,5 K Ranga Rama Krishnan1 1Department of Neuroscience and Behavioral Disorders

A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder

Attention deficit hyperactivity disorder (ADHD) symptoms can be difficult to treat. We previously reported that a 20-session brain-computer interface (BCI) attention training programme improved ADHD symptoms. Here, we investigated a new more intensive BCI-based attention training game system on 20 unmedicated ADHD children (16 males, 4 females) with significant inattentive...

Expectation-Maximization Method for EEG-Based Continuous Cursor Control

University of Science and Technology of China (USTC). His research interest focuses on machine learning, Bayesian method, brain (EEG) signal recognition. Cuntai Guan received his Ph.D. degree in electrical

A Brain-Computer Interface Based Cognitive Training System for Healthy Elderly: A Randomized Control Pilot Study for Usability and Preliminary Efficacy

Cognitive decline in aging is a pressing issue associated with significant healthcare costs and deterioration in quality of life. Previously, we reported the successful use of a novel brain-computer interface (BCI) training system in improving symptoms of attention deficit hyperactivity disorder. Here, we examine the feasibility of the BCI system with a new game that incorporates...