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Engineering and Technology

D-Index
48
Citations
12873
World Ranking
4469
National Ranking
53

Overview

Kai Keng Ang is affiliated with A*STAR - Agency for Science, Technology and Research in Singapore. Their research primarily focuses on neuroscience with a significant emphasis on brain-computer interfaces (BCI) and neural engineering.

Their scholarly output includes a number of recent papers published in various reputable venues:

  • Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface (2020), IEEE Transactions on Neural Networks and Learning Systems
  • Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke (2020), IEEE Transactions on Biomedical Engineering
  • FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface (2021), arXiv (Cornell University)
  • Efficacy of Brain-Computer Interface and the Impact of Its Design Characteristics on Poststroke Upper-limb Rehabilitation: A Systematic Review and Meta-analysis of Randomized Controlled Trials (2021), Clinical EEG and Neuroscience
  • Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke (2021), Scientific Reports

The main fields of study associated with their work are:

  • Neuroscience

Within neuroscience, their research covers these subfields:

  • Cognitive Neuroscience
  • Biomedical Engineering
  • Cellular and Molecular Neuroscience
  • Human-Computer Interaction
  • Neurology

The topics frequently addressed in their studies include:

  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Gaze Tracking and Assistive Technology
  • Muscle activation and electromyography studies
  • Transcranial Magnetic Stimulation Studies

Their collaborations include frequent coauthors such as Cuntai Guan, Effie Chew, Kok Soon Phua, Chuanchu Wang, and Mengjiao Hu. These partnerships likely support their research activities and publications.

Kai Keng Ang has published repeatedly in these venues, evidencing sustained dissemination of their work:

  • Scientific Reports
  • Frontiers in Neurology
  • Brain Sciences
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface

    Kai Keng Ang;Zhang Yang Chin;Haihong Zhang;Cuntai Guan

  • Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b.

    Kai Keng Ang;Zheng Yang Chin;Chuanchu Wang;Cuntai Guan

  • A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke.

    Kai Keng Ang;Karen Sui Geok Chua;Kok Soon Phua;Chuanchu Wang

  • Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI

    M Arvaneh;Cuntai Guan;Kai Keng Ang;Chai Quek

  • Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke.

    Kai Keng Ang;Cuntai Guan;Kok Soon Phua;Chuanchu Wang

  • A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces

    K.P. Thomas;Cuntai Guan;Chiew Tong Lau;A.P. Vinod

  • A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface.

    Kai Keng Ang;Cuntai Guan;Karen Sui Geok Chua;Beng Ti Ang

  • Resting state changes in functional connectivity correlate with movement recovery for BCI and robot-assisted upper-extremity training after stroke.

    Bálint Várkuti;Cuntai Guan;Yaozhang Pan;Kok Soon Phua

  • Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computer interface with robotic feedback

    Kai Keng Ang;Cuntai Guan;Karen Sui Geok Chua;Beng Ti Ang

  • EEG-Based Strategies to Detect Motor Imagery for Control and Rehabilitation

    Kai Keng Ang;Cuntai Guan

  • Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.

    Fatemeh Fahimi;Zhuo Zhang;Wooi Boon Goh;Tih-Shi Lee

  • Brain-Computer Interface in Stroke Rehabilitation

    Kai Keng Ang;Cuntai Guan

  • Mutual information-based selection of optimal spatial-temporal patterns for single-trial EEG-based BCIs

    Kai Keng Ang;Zheng Yang Chin;Haihong Zhang;Cuntai Guan

  • On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification

    Huijuan Yang;Siavash Sakhavi;Kai Keng Ang;Cuntai Guan

  • Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface

    Fatemeh Fahimi;Strahinja Dosen;Kai Keng Ang;Natalie Mrachacz-Kersting

  • A clinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation

    Kai Keng Ang;Cuntai Guan;Karen Sui Geok Chua;Beng Ti Ang

  • Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation

    Ruyi Foong;Ning Tang;Effie Chew;Karen Sui Geok Chua

  • Facilitating effects of transcranial direct current stimulation on motor imagery brain-computer interface with robotic feedback for stroke rehabilitation.

    Kai Keng Ang;Cuntai Guan;Kok Soon Phua;Chuanchu Wang

  • Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface

    Ahmed M. Azab;Lyudmila Mihaylova;Kai Keng Ang;Mahnaz Arvaneh

  • EEG-based Emotion Recognition Using Self-Organizing Map for Boundary Detection

    Reza Khosrowabadi;Hiok Chai Quek;Abdul Wahab;Kai Keng Ang

  • Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach

    K.K. Ang;C. Quek

  • Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain–Computer Interface

    M. Arvaneh;Cuntai Guan;Kai Keng Ang;Chai Quek

Frequent Co-Authors

Cuntai Guan
Cuntai Guan Nanyang Technological University
Chai Quek
Chai Quek Nanyang Technological University
Jian-Xin Xu
Jian-Xin Xu National University of Singapore
A. P. Vinod
A. P. Vinod Singapore Institute of Technology
Sim Heng Ong
Sim Heng Ong National University of Singapore
Tong Heng Lee
Tong Heng Lee National University of Singapore
Lyudmila Mihaylova
Lyudmila Mihaylova University of Sheffield
Roger C.M. Ho
Roger C.M. Ho National University of Singapore
Xudong Jiang
Xudong Jiang Nanyang Technological University
Wei Min Huang
Wei Min Huang Nanyang Technological University

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