K
Kai Keng Ang
Researcher at Nanyang Technological University
Publications - 195
Citations - 8986
Kai Keng Ang is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Motor imagery & Brain–computer interface. The author has an hindex of 38, co-authored 184 publications receiving 7046 citations. Previous affiliations of Kai Keng Ang include Institute for Infocomm Research Singapore & Tan Tock Seng Hospital.
Papers
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Patent
Device and method for generating a representation of a subject's attention level
Cuntai Guan,Brahim Ahmed Salah Hamadi Charef,Haihong Zhang,Chuanchu Wang,Keng Peng Tee,Kai Keng Ang,Zheng Yang Chin,Ranga Krishnan,Tih-Shih Lee,Choon Guan Lim,Daniel Fung +10 more
TL;DR: In this article, a method for generating a representation of a subject's attention level was proposed, which comprises means for measuring brain signals from the subject, means for extracting temporal features from the brain signals; means for classifying the extracted temporal features using a classifier.
Proceedings ArticleDOI
Dynamic initiation and dual-tree complex wavelet feature-based classification of motor imagery of swallow EEG signals
TL;DR: A novel sliding window-based peak localization scheme is proposed to dynamically locate the initiation of tongue movement from Electromyography (EMG) signal and effective time segments are extracted from EEG signal for classification based on the detected dynamic initiation location.
Proceedings ArticleDOI
Online semi-supervised learning with KL distance weighting for Motor Imagery-based BCI
TL;DR: An online batch mode semi-supervised learning with KL distance weighting to update the model trained from the calibration session by using unlabeled data from the online test session is proposed and results showed that the proposed method yielded slightly better results in comparison with offline FBCSP.
Proceedings ArticleDOI
A clinical evaluation on the spatial patterns of non-invasive motor imagery-based brain-computer interface in stroke
Kai Keng Ang,Cuntai Guan,Karen Sui Geok Chua,Beng Ti Ang,Christopher Wee Keong Kuah,Chuanchu Wang,Kok Soon Phua,Zheng Yang Chin,Haihong Zhang +8 more
TL;DR: The results show that hemiparetic stroke patients are capable of operating MI-BCI, and show that neurophysiologically interpretable spatial patterns is more common in performing motor imagery compared to finger tapping by hemip Margaret stroke patients.
Book ChapterDOI
Neural and cortical analysis of swallowing and detection of motor imagery of swallow for dysphagia rehabilitation-A review.
TL;DR: The neural and cortical basis of swallowing and tongue is understood, and the latest techniques on the detection and analysis of MI-SW and MI-TM for dysphagia stroke rehabilitation based on electroencephalography (EEG) and NIRS are reviewed.