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Autonomous Monitoring for Patients and Older People using Smart Environments with Sensor Fusion
Royal Society International Exchanges

Royal Society International Exchanges
Funding Source: The Royal Society, UK
Reference Number: IES\R1\191147
Value: £11,940
2019 - 2021

About the Project

  • Researched artificial intelligence solutions for motion-based disease prediction via color video feeds, facilitating more accessible healthcare in developing countries.
  • Supported a collaborative research project with Prof. Samiran Chattopadhyay from Jadavpur University, India.

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    Publications

    A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants
    A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants  Impact Factor: 4.9†    Citation: 17#
    IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2022
    Kevin D. McCay, Pengpeng Hu, Hubert P. H. Shum, Wai Lok Woo, Claire Marcroft, Nicholas D. Embleton, Adrian Munteanu and Edmond S. L. Ho
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    Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features
    Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features  REF 2021 Submitted Output Impact Factor: 3.9†    Citation: 62#
    IEEE Access, 2020
    Kevin D. McCay, Edmond S. L. Ho, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft and Nicholas Embleton
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    Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks
    Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks  Oral Presentation     
    Proceedings of the 2022 International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022
    Haozheng Zhang, Hubert P. H. Shum and Edmond S. L. Ho
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    Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
    Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention      Citation: 11#
    Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2021
    Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum
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      Last updated on 14 April 2024
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