Search Results - "Chin, Zheng Yang"

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  1. 1

    Mutual information-based selection of optimal spatial–temporal patterns for single-trial EEG-based BCIs by Ang, Kai Keng, Chin, Zheng Yang, Zhang, Haihong, Guan, Cuntai

    Published in Pattern recognition (01-06-2012)
    “…The common spatial pattern (CSP) algorithm is effective in decoding the spatial patterns of the corresponding neuronal activities from electroencephalogram…”
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    Journal Article
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    Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b by Ang, Kai Keng, Chin, Zheng Yang, Wang, Chuanchu, Guan, Cuntai, Zhang, Haihong

    Published in Frontiers in neuroscience (01-01-2012)
    “…The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its…”
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    Journal Article
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    A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke by Ang, Kai Keng, Chua, Karen Sui Geok, Phua, Kok Soon, Wang, Chuanchu, Chin, Zheng Yang, Kuah, Christopher Wee Keong, Low, Wilson, Guan, Cuntai

    Published in Clinical EEG and neuroscience (01-10-2015)
    “…Electroencephalography (EEG)–based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing…”
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    Journal Article
  4. 4

    Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computer interface with robotic feedback by Kai Keng Ang, Cuntai Guan, Chua, K S G, Beng Ti Ang, Kuah, C, Chuanchu Wang, Kok Soon Phua, Zheng Yang Chin, Haihong Zhang

    “…This clinical study investigates the ability of hemiparetic stroke patients in operating EEG-based motor imagery brain-computer interface (MI-BCI). It also…”
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    Conference Proceeding Journal Article
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    A Large Clinical Study on the Ability of Stroke Patients to Use an EEG-Based Motor Imagery Brain-Computer Interface by Ang, Kai Keng, Guan, Cuntai, Chua, Karen Sui Geok, Ang, Beng Ti, Kuah, Christopher Wee Keong, Wang, Chuanchu, Phua, Kok Soon, Chin, Zheng Yang, Zhang, Haihong

    Published in Clinical EEG and neuroscience (01-10-2011)
    “…Brain-computer interface (BCI) technology has the prospects of helping stroke survivors by enabling the interaction with their environment through brain…”
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    Journal Article
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    EEG-based discrimination of different cognitive workload levels from mental arithmetic by Chin, Zheng Yang, Zhang, Xin, Wang, Chuanchu, Ang, Kai Keng

    “…Cognitive workload, which is the level of mental effort required for a cognitive task, can be assessed by monitoring the changes in neurophysiological measures…”
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    Conference Proceeding Journal Article
  10. 10

    Multi-class filter bank common spatial pattern for four-class motor imagery BCI by Chin, Zheng Yang, Ang, Kai Keng, Wang, Chuanchu, Guan, Cuntai, Zhang, Haihong

    “…This paper investigates the classification of multi-class motor imagery for electroencephalogram (EEG)-based Brain-Computer Interface (BCI) using the Filter…”
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    Conference Proceeding Journal Article
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    A clinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation by Kai Keng Ang, Cuntai Guan, Sui Geok Chua, K., Beng Ti Ang, Kuah, C., Chuanchu Wang, Kok Soon Phua, Zheng Yang Chin, Haihong Zhang

    “…Non-invasive EEG-based motor imagery brain-computer interface (MI-BCI) holds promise to effectively restore motor control to stroke survivors. This clinical…”
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    Conference Proceeding Journal Article
  12. 12

    Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface by Zhang, Haihong, Chin, Zheng Yang, Ang, Kai Keng, Guan, Cuntai, Wang, Chuanchu

    Published in IEEE transactions on neural networks (01-01-2011)
    “…This paper proposes a feature extraction method for motor imagery brain-computer interface (BCI) using electroencephalogram. We consider the primary…”
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    Journal Article
  13. 13

    Discriminative channel addition and reduction for filter bank common spatial pattern in motor imagery BCI by Chin, Zheng Yang, Ang, Kai Keng, Wang, Chuanchu, Guan, Cuntai

    “…An electroencephalography (EEG)-based Motor Imagery Brain-Computer Interface (MI-BCI) requires a long setup time if a large number of channels is used, and EEG…”
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    Conference Proceeding Journal Article
  14. 14

    Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface by Ang, Kai Keng, Zhang, Yang Chin, Zhang, Haihong, Guan, Cuntai

    “…In motor imagery-based brain computer interfaces (BCI), discriminative patterns can be extracted from the electroencephalogram (EEG) using the common spatial…”
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    Conference Proceeding Journal Article
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    Online performance evaluation of motor imagery BCI with augmented-reality virtual hand feedback by Chin, Zheng Yang, Ang, Kai Keng, Wang, Chuanchu, Guan, Cuntai

    “…The online performance of a motor imagery-based Brain-Computer Interface (MI-BCI) influences its effectiveness and usability in real-world clinical…”
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    Conference Proceeding Journal Article
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    Calibrating EEG-based motor imagery brain-computer interface from passive movement by Kai Keng Ang, Cuntai Guan, Chuanchu Wang, Kok Soon Phua, Tan, A. H. G., Zheng Yang Chin

    “…EEG data from performing motor imagery are usually collected to calibrate a subject-specific model for classifying the EEG data during the evaluation phase of…”
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    Conference Proceeding Journal Article
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    Robust filter bank common spatial pattern (RFBCSP) in motor-imagery-based brain-computer interface by Ang, Kai Keng, Chin, Zheng Yang, Zhang, Haihong, Guan, Cuntai

    “…The filter bank common spatial pattern (FBCSP) algorithm performs autonomous selection of key temporal-spatial discriminative EEG characteristics in motor…”
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    Conference Proceeding Journal Article
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    Navigation in a virtual environment using multiclass motor imagery Brain-Computer Interface by Zheng Yang Chin, Kai Keng Ang, Chuanchu Wang, Cuntai Guan

    “…Virtual Reality is a useful platform for Brain-Computer Interface (BCI) users as it offers a relatively safe and cost-effective way for BCI users to train and…”
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    Conference Proceeding