Empatica E4 wristband assessment of probable REM sleep behavior disorder in people with Parkinson’s disease. Results from the DIGI.PARK study
Supplementing self-reported questionnaires with wearable sensor data could provide a more objective and reliable method for assessing RBDSQ defined pRBD in people with Parkinson's disease. This approach could improve symptom assessment accuracy by reducing the subjective biases inherent in self-reported data and by capturing symptoms that are fluctuating, underreported or unrecognized.
Authors
- Charalampos Tzoulis (ORCID: https://orcid.org/0000-0003-0341-5191)
- Line Iden Berge (ORCID: https://orcid.org/0000-0003-4278-5240)
- Monica Pătraşcu (ORCID: https://orcid.org/0000-0003-2201-2312)
- Brice Marty (ORCID: https://orcid.org/0000-0002-0522-8245)
- Lisa Aaslestad
- 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
- Rolf Moe Nilssen
Institutions
- Haukeland University Hospital (NO)
- St Olav's University Hospital (NO)
- University of Bergen (NO)
- Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-01-14
- DOI
- https://doi.org/10.3389/fneur.2026.1720068
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universitetet i Bergen
- Norges Forskningsråd
- Bergens Forskningsstiftelse
- Haukeland Universitetssjukehus
- GC Rieber Fondene