Cross-evaluation of wearable data for use in Parkinson’s disease research: a free-living observational study on Empatica E4, Fitbit Sense, and Oura
In this study we identified a set of characteristics necessary for PD research: ease of handling, cleaning, data retrieval, access to raw data, score calculation transparency, long battery life, sufficient storage, higher sampling frequencies, software and hardware reliability, transparency. The three analyzed devices are not interchangeable and, based on data features, none were deemed optimal for PD research, but they all have the potential to provide suitable specifications in future iterations.
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
- Ane Erdal (ORCID: https://orcid.org/0000-0003-3802-7383)
- Bettina S. Husebø (ORCID: https://orcid.org/0000-0002-6037-2864)
- 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)
Institutions
- Norwegian Computing Center (NO)
- Haukeland University Hospital (NO)
- University of Bergen (NO)
- Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1186/s12938-025-01353-0
- Citations
- 5
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 6.95
Funders
- Universitetet i Bergen
- Norges Forskningsråd
- Haukeland Universitetssjukehus
- GC Rieber Fondene