2018 - IEEE Fellow For contributions to brain-computer interfaces and applications
Cuntai Guan mainly investigates Brain–computer interface, Artificial intelligence, Electroencephalography, Pattern recognition and Motor imagery. His Brain–computer interface research is multidisciplinary, relying on both Speech recognition, Information transfer and Event-related potential. His research in Artificial intelligence intersects with topics in Algorithm, Machine learning and Computer vision.
His research investigates the connection between Electroencephalography and topics such as Stroke patient that intersect with problems in Eeg data, Finger tapping and Kullback–Leibler divergence. His Pattern recognition research is multidisciplinary, incorporating elements of Feature, Algorithm design, Selection, Covariance matrix and Signal processing. His Motor imagery research includes themes of Rehabilitation, Physical medicine and rehabilitation and Motor control.
His primary areas of investigation include Artificial intelligence, Brain–computer interface, Electroencephalography, Pattern recognition and Motor imagery. His Artificial intelligence research incorporates elements of Machine learning, Speech recognition and Computer vision. He studied Brain–computer interface and Physical medicine and rehabilitation that intersect with Stroke and Transcranial direct-current stimulation.
The Electroencephalography study combines topics in areas such as Neurophysiology and Audiology. His work carried out in the field of Pattern recognition brings together such families of science as Filter bank and Signal processing. His Motor imagery research incorporates themes from Deep learning and Convolutional neural network.
Cuntai Guan focuses on Artificial intelligence, Brain–computer interface, Electroencephalography, Pattern recognition and Motor imagery. He combines topics linked to Machine learning with his work on Artificial intelligence. His biological study spans a wide range of topics, including Rehabilitation, Cognitive psychology, Physical medicine and rehabilitation, Stroke and Brain activity and meditation.
The various areas that Cuntai Guan examines in his Electroencephalography study include Stroop effect, Support vector machine and Audiology. His work deals with themes such as Decoding methods, Filter bank, Multivariate statistics and Signal processing, which intersect with Pattern recognition. His study explores the link between Feature extraction and topics such as Pattern recognition that cross with problems in Statistical classification.
His scientific interests lie mostly in Brain–computer interface, Electroencephalography, Artificial intelligence, Convolutional neural network and Feature extraction. Cuntai Guan interconnects Affect, Neuroimaging, Physical medicine and rehabilitation and State in the investigation of issues within Brain–computer interface. His work in the fields of Electroencephalography, such as Motor imagery, intersects with other areas such as Response time.
His Artificial intelligence study incorporates themes from Machine learning and Pattern recognition. His Convolutional neural network research integrates issues from Feature and Pattern recognition. His research investigates the link between Feature extraction and topics such as Discriminative model that cross with problems in Movement, Binary classification and Wavelet.
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Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms
Fabien Lotte;Cuntai Guan.
IEEE Transactions on Biomedical Engineering (2011)
Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
Kai Keng Ang;Zhang Yang Chin;Haihong Zhang;Cuntai Guan.
international joint conference on neural network (2008)
Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b.
Kai Keng Ang;Zheng Yang Chin;Chuanchu Wang;Cuntai Guan.
Frontiers in Neuroscience (2012)
Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface.
Ranganatha Sitaram;Haihong Zhang;Cuntai Guan;Manoj Thulasidas.
A Brain Controlled Wheelchair to Navigate in Familiar Environments
B Rebsamen;Cuntai Guan;Haihong Zhang;Chuanchu Wang.
international conference of the ieee engineering in medicine and biology society (2010)
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.
Clinical Eeg and Neuroscience (2015)
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
Erico Tjoa;Cuntai Guan.
IEEE Transactions on Neural Networks (2021)
Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI
M Arvaneh;Cuntai Guan;Kai Keng Ang;Chai Quek.
IEEE Transactions on Biomedical Engineering (2011)
Robust classification of EEG signal for brain-computer interface
M. Thulasidas;Cuntai Guan;Jiankang Wu.
international conference of the ieee engineering in medicine and biology society (2006)
Controlling a Wheelchair Indoors Using Thought
B. Rebsamen;C.L. Teo;Q. Zeng;M.H. Ang.
IEEE Intelligent Systems (2007)
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