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.

People



Organizations


    YouTube


    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: 4.8Citation: 38#
    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
    Webpage Cite This Plain Text
    Kevin D. McCay, Pengpeng Hu, Hubert P. H. Shum, Wai Lok Woo, Claire Marcroft, Nicholas D. Embleton, Adrian Munteanu and Edmond S. L. Ho, "A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 8-19, IEEE, 2022.
    Bibtex
    @article{mccay22posebased,
     author={McCay, Kevin D. and Hu, Pengpeng and Shum, Hubert P. H. and Woo, Wai Lok and Marcroft, Claire and Embleton, Nicholas D. and Munteanu, Adrian and Ho, Edmond S. L.},
     journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
     title={A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants},
     year={2022},
     volume={30},
     pages={8--19},
     numpages={12},
     doi={10.1109/TNSRE.2021.3138185},
     issn={1534-4320 },
     publisher={IEEE},
    }
    RIS
    TY  - JOUR
    AU  - McCay, Kevin D.
    AU  - Hu, Pengpeng
    AU  - Shum, Hubert P. H.
    AU  - Woo, Wai Lok
    AU  - Marcroft, Claire
    AU  - Embleton, Nicholas D.
    AU  - Munteanu, Adrian
    AU  - Ho, Edmond S. L.
    T2  - IEEE Transactions on Neural Systems and Rehabilitation Engineering
    TI  - A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants
    PY  - 2022
    VL  - 30
    SP  - 8
    EP  - 19
    DO  - 10.1109/TNSRE.2021.3138185
    SN  - 1534-4320
    PB  - IEEE
    ER  - 
    Paper GitHub
    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 OutputImpact Factor: 3.4Citation: 80#
    IEEE Access, 2020
    Kevin D. McCay, Edmond S. L. Ho, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft and Nicholas Embleton
    Webpage Cite This Plain Text
    Kevin D. McCay, Edmond S. L. Ho, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft and Nicholas Embleton, "Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features," IEEE Access, vol. 8, no. 1, pp. 51582-51592, IEEE, 2020.
    Bibtex
    @article{mccay20abnormal,
     author={McCay, Kevin D. and Ho, Edmond S. L. and Shum, Hubert P. H. and Fehringer, Gerhard and Marcroft, Claire and Embleton, Nicholas},
     journal={IEEE Access},
     title={Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features},
     year={2020},
     volume={8},
     number={1},
     pages={51582--51592},
     numpages={11},
     doi={10.1109/ACCESS.2020.2980269},
     issn={2169-3536},
     publisher={IEEE},
    }
    RIS
    TY  - JOUR
    AU  - McCay, Kevin D.
    AU  - Ho, Edmond S. L.
    AU  - Shum, Hubert P. H.
    AU  - Fehringer, Gerhard
    AU  - Marcroft, Claire
    AU  - Embleton, Nicholas
    T2  - IEEE Access
    TI  - Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features
    PY  - 2020
    VL  - 8
    IS  - 1
    SP  - 51582
    EP  - 51592
    DO  - 10.1109/ACCESS.2020.2980269
    SN  - 2169-3536
    PB  - IEEE
    ER  - 
    Paper GitHub
    Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks
    Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks  Oral PaperCitation: 15#
    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
    Webpage Cite This Plain Text
    Haozheng Zhang, Hubert P. H. Shum and Edmond S. L. Ho, "Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks," in EMBC '22: Proceedings of the 2022 International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1619-1625, Glasgow, UK, IEEE, Jul 2022.
    Bibtex
    @inproceedings{zhang22cerebral,
     author={Zhang, Haozheng and Shum, Hubert P. H. and Ho, Edmond S. L.},
     booktitle={Proceedings of the 2022 International Conference of the IEEE Engineering in Medicine and Biology Society},
     series={EMBC '22},
     title={Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks},
     year={2022},
     month={7},
     pages={1619--1625},
     numpages={7},
     doi={10.1109/EMBC48229.2022.9871230},
     publisher={IEEE},
     location={Glasgow, UK},
    }
    RIS
    TY  - CONF
    AU  - Zhang, Haozheng
    AU  - Shum, Hubert P. H.
    AU  - Ho, Edmond S. L.
    T2  - Proceedings of the 2022 International Conference of the IEEE Engineering in Medicine and Biology Society
    TI  - Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks
    PY  - 2022
    Y1  - 7 2022
    SP  - 1619
    EP  - 1625
    DO  - 10.1109/EMBC48229.2022.9871230
    PB  - IEEE
    ER  - 
    Paper YouTube
    Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
    Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention Citation: 19#
    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
    Webpage Cite This Plain Text
    Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum, "Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention," in BHI '21: Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 1-4, IEEE, Jul 2021.
    Bibtex
    @inproceedings{zhu21interpreting,
     author={Zhu, Manli and Men, Qianhui and Ho, Edmond S. L. and Leung, Howard and Shum, Hubert P. H.},
     booktitle={Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics},
     series={BHI '21},
     title={Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention},
     year={2021},
     month={7},
     pages={1--4},
     numpages={4},
     doi={10.1109/BHI50953.2021.9508619},
     issn={2641-3604},
     publisher={IEEE},
    }
    RIS
    TY  - CONF
    AU  - Zhu, Manli
    AU  - Men, Qianhui
    AU  - Ho, Edmond S. L.
    AU  - Leung, Howard
    AU  - Shum, Hubert P. H.
    T2  - Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics
    TI  - Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
    PY  - 2021
    Y1  - 7 2021
    SP  - 1
    EP  - 4
    DO  - 10.1109/BHI50953.2021.9508619
    SN  - 2641-3604
    PB  - IEEE
    ER  - 
    Paper YouTube

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