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CENTER FOR BRAIN-COMPUTING RESEARCH
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News
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·
Prof Guan received the Nanyang Research Award,
Nov 2023, for his significant contributions to brain decoding algorithms and pioneering work in
applying brain-computer interface to various medical applications.
o Nanyang Research
Award :
to give the highest recognition to individuals or teams who have made outstanding
contributions in extending the frontiers of knowledge.
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Congratulations to An Ruyi on winning The Global
Undergraduate Awards 2023 (Highly Commended in Computer Science).
o About: The Global Undergraduate Award is a prestigious global
pan-discipline academic awards programme under the patronage of President
of Ireland, Michael D. Higgins, since February 2012. It serves to
distinguish and acknowledge the world’s leading creative thinkers and
problem solvers through their undergraduate coursework. It is open to all
penultimate and final year First and Second Upper Class students of all
disciplines. Top 10% of entrants will be Highly Commended and exclusively
invited to UA Global Summit.
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·
Congratulations
to Shuailei and the team on winning IEEE Brain Best Paper Award. “Sponsored by IEEE
Brain, the IEEE Brain Best Paper Award recognizes outstanding original
contributions to areas related to neurotechnology and brain research.”
o Shuailei Zhang,
Dezhi Zheng, Ning Tang, Effie Chew, Rosary Yuting Lim, Kai Keng Ang, Cuntai
Guan, "Online Adaptive CNN: a Session-to-session Transfer Learning
Approach for Non-stationary EEG" At the IEEE Symposium Series on
Computational Intelligence IEEE SSCI 2022.
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Prof Guan is elected to US National
Academy of Inventors (NAI) Fellow, Class of 2022. The NAI
Fellows Program was established to highlight academic inventors who have
demonstrated a prolific spirit of innovation in creating or facilitating
outstanding inventions that have made a tangible impact on quality of life,
economic development and the welfare of society. Election to NAI Fellow
status is the highest professional distinction accorded solely to academic
inventors.
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Prof Guan received the prestigious King Salman Award
for Disability Research (Technical Branch) on 4 December 2022. This
Award is to recognize his contributions to Brain-Computer Interface
research and development with applications in stroke rehabilitation, ADHD
treatment, cognitive training, and mental health.
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Our warmest congratulations to our students, Aditya Bansal and Vidurveer Duggal, who have been awarded the URECA Undergraduate Research Excellence Award 2021. The award is
presented to URECA students who have demonstrated excellent research
experience & achievement throughout the URCEA Programme (30 Aug 2021)
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· Prof Cuntai Guan was elected to a Fellow of AIMBE
(American Institute for Medical and Biological Engineering), Class of 2021 (Citation: for outstanding contributions to brain-computer
interfaces and neural engineering), 26 Mar
2021.
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· We just launched a Research Program, NOURISH: Next-Generation
Brain-Computer-Brain Platform – A Holistic Solution for the Restoration
& Enhancement of Brain Functions, funded by AME Programmatic
Fund (Competitive), Singapore,
Oct 2020. (Program Director: Prof Cuntai Guan. Clinical Co-Director: Dr
Karen Chua)
o
Synopsis: Brain-computer interface technology is promising in
creating new digital health solutions for mental health and brain sciences.
In this research program, we will develop the next generation
brain-computer-brain (BCB) technologies as a holistic medtech solution for
the restoration and enhancement of motor, cognitive and emotional functions
in one system. We will also investigate the mechanism and
biomarkers of brain function recovery.
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Prof Cuntai Guan was invited
to deliver a Keynote Speech at
the CYBATHLON
Symposium’20, 18
September 2020, Zurich, Switzerland (Online)
- Talk “Brain-Computer Interface for Brain Function Recovery in Stroke
Rehabilitation”
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We launched a Joint PhD Program between Nanyang Technical
University (NTU) Singapore and Graz
University of Technology (TUG), Austria, in the field of Brain-Computer
Interfaces, Sept 2020.
o The topics
will be centred around Brain-Computer Interfaces for clinical applications
in either spinal cord injury or stroke. Following research topics are
possible: deep learning in BCI, transfer from healthy to patients, motor
decoding, novel BCI paradigms, interpretability in BCI, etc.
o The PhD
will be jointly conferred by both Universities with the
certificate bearing two seals from NTU and TUG. The students
will be co-supervised by Prof. Gernot Müller-Putz (TUG) and Prof Cuntai
Guan (NTU).
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· We have uploaded FBCSP
source code in Python at: https://fbcsptoolbox.github.io
· Reference papers:
o
Ang
Kai Keng, Chin Zheng Yang, Haihong Zhang, Cuntai Guan, "Filter Bank
Common Spatial Pattern (FBCSP) in Brain-computer Interface", 2008 IEEE
International Joint Conference on Neural Networks (IJCNN), Hong Kong, 2-6 June, 2008. ViewPDF
o
Kai Keng Ang, Zheng Yang Chin,
Chuanchu Wang, Cuntai Guan, Haihong Zhang, “Filter Bank Common Spatial
Pattern Algorithm on BCI Competition IV Datasets IIa and IIb”, Frontiers
in Neuroscience, 2012, 6:39. doi: 10.3389/fnins.2012.00039. ViewPDF
o
Kai Keng Ang, Zheng Yang Chin,
Haihong Zhang, Cuntai Guan, “Mutual Information-based Selection of Optimal
Spatial-temporal Patterns for Single-trial EEG-based BCIs”, Pattern
Recognition, Vol 45, No 6, June 2012, pp 2137–2144 ViewPDF
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· We just published a new article which reviews the recent advances in BCI-based post-stroke rehabilitation in three domains: motor, cognition, and emotion. We
also discuss the possibility of a holistic BCI system for motor, cognitive
and affect rehabilitation which may synergistically promote restorative
neuroplasticity.
o Ravikiran Mane, Tushar Chouhan,
and Cuntai Guan, “BCI for Stroke Rehabilitation: Motor and Beyond”, Journal
of Neural Engineering, July 2020, DOI:
10.1088/1741-2552/aba162. ViewPDF
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·
Congratulations
to Ravikiran Mane (Ravi) and his team to be at 3rd place in Singapore-India hackathon 2019 with a cash prize.
o
The team proposed a novel solution to the
problem statement of Hospital waste management. The multi-layer solution
which was extremely cost-effective and scalable in large developing
nations.
o
The ceremony on
30 Sept 2019 was graced by PM of India, Mr. Narendra Modi and education
minister of Singapore, Mr. Ong Ye Kung, and President of NTU,
Prof. Subhra Suresh.
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The latest result showed that a
subject-independent model exceeded the accuracy of the subject-dependent
model for a motor imagery BCI using Deep
CNN in a large dataset consisting of 54 subjects.
o
Oyeon Kwon, Min-Ho Lee, Cuntai Guan, and
Seong-Whan Lee, “Subject-Independent Brain-Computer Interfaces Based on
Deep Convolutional Neural Networks,” IEEE Transactions on Neural
Networks and Learning Systems, Vol 31,
No. 10, Oct. 2020, pp 3839 - 3852. ViewPDF
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· Congratulations to Fahimi Fatemeh (Parastoo) to receive the PREMIA Best Student
Paper Awards 2019 (Honorable Mention), Aug 2019.
o
Paper: “Inter-subject
transfer learning with end-to-end deep convolutional neural network for
EEG-based BCI”, Journal of Neural Engineering, 2019, 16(9), 026007. ViewPDF
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· Prof Cuntai Guan was invited to deliver a Keynote Speech at IAS Workshop on Neural Engineering and
Rehabilitation, 3-4 June 2019, Hong Kong University of Science and
Technology (HKUST), Hong Kong.
o
Talk: “A Cognitive Brain Computer Interface and
its Applications”
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We published the result
of a large-scale randomized controlled trial in May 2019: 172 children with ADHD went through
24 sessions of BCI based attention training in 8 weeks. Significant reduction
in both inattentive and hyperactivity symptoms.
- Choon Guan
Lim, Xue Wei Wendy Poh, Daniel Shuen Sheng Fung, Cuntai Guan, Dianne
Bautista, Yin Bun Cheung, Haihong Zhang, Si Ning Yeo, Ranga Krishnan,
Tih Shih Lee, “A Randomized Controlled Trial of a Brain-Computer
Interface based Attention Training Program for ADHD”, PLOS
ONE, 14 (5): e0216225, 2019. ViewPDF
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· Congratulations to Tushar Chouhan to be selected for the Engineering PhD
Summit of EPFL and invited to give a talk at EPFL on November 8-9,
2018.
o
Research topic: “Decoding
Neurophysiological Mechanisms and Complex Brain Networks using
Electroencephalogram and Machine Learning in Brain-Computer Interfaces”
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We published the result
of a large-scale randomized controlled trial in Aug 2018: 227 healthy elderly went through 24
sessions of BCI based cognitive training across 8 weeks. Significant
improvement in delayed memory and language.
- Si Ning
Yeo, Tih Shih Lee, Wei Theng Sng, Min
Quan Heo, Dianne Bautista, Yin Bun Cheung, Haihong
Zhang, Zheng Yang Chin, Lei Feng, Helen Juan Zhou, Mei
Sian Chong, Tze Pin Ng, Ranga Krishnan, Cuntai Guan,
“Effectiveness of a personalised Brain-Computer Interface system for
cognitive training in healthy elderly: a randomized controlled
trial”, Journal of Alzheimer's Disease, 66(1), 2018,
pp127-138. ViewPDF
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We published an fMRI
study on children with ADHD in Aug 2018. It shows that BCI based intervention can help re-normalize
brain functional network topology among cognitive networks, which is
associated with behavioral improvement and facilitate brain maturation in
ADHD children. The fMRI analysis was led by Prof Helen Juan Zhou from NUS.
o
Xing Qian, Beatrice Rui Yi
Loo, Francisco Xavier Castellanos, Siwei Liu, Hui Li Koh, Xue Wei Wendy
Poh, Ranga Krishnan, Daniel Fung, Michael Chee, Cuntai Guan, Tih-Shih Lee,
Choon Guan Lim, Juan Zhou, “Brain-computer-interface-based intervention
re-normalizes brain functional network topology in children with attention
deficit/hyperactivity disorder," Translational
Psychiatry (Nature Publishing Group), 8(1), 2018. ViewOnline
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· Congratulations to Ravikiran Mane (Ravi) to be a Top-10 EMBS Student Paper Competition finalist, at the 40th Annual
International Conference of the IEEE Engineering in Medicine and Biology
Society (EMBC'18),
Honolulu, USA, July 17-21, 2018.
o
Paper: “Quantitative EEG as Biomarkers for the Monitoring
of Post-Stroke Motor Recovery in BCI and tDCS Rehabilitation” ViewPDF
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· Prof Cuntai Guan was invited to deliver a Keynote Speech at the opening ceremony of the 7th International
BCI Meeting, May 21-25, 2018 in Pacific Grove, California, USA.
o
Talk: “Brain Computer Interface for Stroke
Rehabilitation”
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· Congratulations to Jonathan Tan Zhi Han and Natalie Chin Li Wun for
their winning of the top 3 Most
Interactive Project at the SCSE Technology Day, 12 May 2018. ( Jonathan
received Singtel Gold Medal Award, Jul 2019)
o
Project “Brain Computer
Interface based Anxiety Management System for Adolescence”
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Open Source Codes:
- FBCSP source code in Python (Open
access: https://fbcsptoolbox.github.io) –
updated on 09 Jul 2020
- FBCNet source code (Open access: https://github.com/ravikiran-mane/FBCNet) – updated on 29 Mar 2021
- TSception source code (Open
access: https://github.com/yi-ding-cs/TSception) – updated on 24 Feb 2022
- Tensor CSPNet source code (Open
access: https://github.com/GeometricBCI/Tensor-CSPNet-and-Graph-CSPNet)
- Graph-CSPNet source code (Open
access: https://github.com/GeometricBCI/Tensor-CSPNet-and-Graph-CSPNet)
- LGGNet source code (Open access: https://github.com/yi-ding-cs/LGG)
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