Wavelet-Based Tremor Quantification From Wrist-Worn Sensor Data in Home-Dwelling People With Parkinson’s Disease
The designed tremor quantification algorithm can quantify tremor symptoms over time for people with PD and can be used to identify the individualized frequency ranges where these movements happen, in free-living conditions.
Authors
- Charalampos Tzoulis (ORCID: https://orcid.org/0000-0003-0341-5191)
- Monica Pătraşcu (ORCID: https://orcid.org/0000-0003-2201-2312)
- Brice Marty (ORCID: https://orcid.org/0000-0002-0522-8245)
- Elise Førsund
- Juan C. Torrado (ORCID: https://orcid.org/0000-0002-2027-1794)
- Haakon Reithe
- Simon Ulvenes Kverneng (ORCID: https://orcid.org/0000-0002-8507-8127)
- Erika Veslemøy Sheard (ORCID: https://orcid.org/0009-0008-8370-9256)
- Bettina Sandgate Husebo
Institutions
- Norwegian Computing Center (NO)
- Haukeland University Hospital (NO)
- University of Bergen (NO)
Publication Details
- Journal
- IEEE Journal of Translational Engineering in Health and Medicine
- Published
- 2025-12-25
- DOI
- https://doi.org/10.1109/jtehm.2025.3648704
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00