Research output per year
Research output per year
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Dive into the research topics where Tom Donnelly is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A method for locating surface electromyography electrodes on the flexor carpi ulnaris
Donnelly, T., Routledge, N., Seminati, E. & Metcalfe, B., 30 Jun 2025, In: Journal of Electromyography and Kinesiology. 82, 103010.Research output: Contribution to journal › Article › peer-review
Open Access -
Anodic Transcutaneous Spinal Cord Stimulation for Eliciting Upper Limb Motion: An Alternative Hypothesis
Routledge, N., Jabban, L., Donnelly, T., Zhang, D. & Metcalfe, B., 26 Feb 2024, p. e1-e48. 1 p.Research output: Contribution to conference › Abstract › peer-review
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Denoising and decoding spontaneous vagus nerve recordings with machine learning
Ribeiro, M., Koh, R., Donnelly, T., Lutteroth, C., Proulx, M., Rocha, P. & Metcalfe, B., 11 Dec 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings. IEEE, (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile2 Citations (SciVal)166 Downloads (Pure) -
Enhancing the control of assistive technology using voluntary tensor tympani muscle contraction; using EarSwitch® technology
Hoyle, A., Gompertz, N., Donnelly, T., Routledge, N. & Metcalfe, B., 23 Sept 2023.Research output: Contribution to conference › Poster › peer-review
Datasets
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Multi-Modal Dataset for "Towards Robust Surface Electromyography for Upper Limb Protheses using Machine Learning "
Donnelly, T. (Creator), Seminati, E. (Creator) & Metcalfe, B. (Creator), University of Bath, 18 Jun 2025
DOI: 10.15125/BATH-01511
Dataset