An Adaptable Phase-Tracking System for Parkinsonian Rest Tremor: Design and In-Clinic Feasibility
This work provides a novel platform for research involving tremor phase tracking, accounting for PD tremor variability, and a foundation for developing personalized, non-invasive tremor management strategies. Clinical and Translational Impact Statement-This study presents a wearable system for adaptive tremor phase tracking validated in individuals with Parkinson's disease and establishes a foundation for further development of personalized non-invasive tremor management strategies. Category: Clinical Research.
Authors
- Hayriye Cagnan (ORCID: https://orcid.org/0000-0002-1641-115X)
- Colin G. McNamara (ORCID: https://orcid.org/0000-0001-8266-9266)
- Moaad Benjaber (ORCID: https://orcid.org/0000-0002-0506-2337)
- Timothy Denison (ORCID: https://orcid.org/0000-0002-5404-4004)
- Andrew Sharott (ORCID: https://orcid.org/0000-0002-1594-3349)
- John E. Fleming (ORCID: https://orcid.org/0000-0003-1969-3188)
- Beatriz S. Arruda (ORCID: https://orcid.org/0000-0001-9962-7126)
- Robert A. Toth (ORCID: https://orcid.org/0000-0003-4531-3337)
Institutions
- Queen Mary University of London (GB)
- King's College London (GB)
- University College Cork (IE)
- University of Oxford (GB)
- MRC Brain Network Dynamics Unit (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- University College London (GB)
- Imperial College London (GB)
Publication Details
- Journal
- IEEE Journal of Translational Engineering in Health and Medicine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/jtehm.2025.3625144
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00