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Remote smartphone monitoring of Parkinson's disease and individual response to therapy
- Source :
- Nature Biotechnology, 40, 4, pp. 480-487, Nature Biotechnology, 40, 480-487
- Publication Year :
- 2021
- Publisher :
- Zenodo, 2021.
-
Abstract
- Contains fulltext : 252104.pdf (Publisher’s version ) (Open Access) Remote health assessments that gather real-world data (RWD) outside clinic settings require a clear understanding of appropriate methods for data collection, quality assessment, analysis and interpretation. Here we examine the performance and limitations of smartphones in collecting RWD in the remote mPower observational study of Parkinson's disease (PD). Within the first 6 months of study commencement, 960 participants had enrolled and performed at least five self-administered active PD symptom assessments (speeded tapping, gait/balance, phonation or memory). Task performance, especially speeded tapping, was predictive of self-reported PD status (area under the receiver operating characteristic curve (AUC) = 0.8) and correlated with in-clinic evaluation of disease severity (r = 0.71; P
- Subjects :
- medicine.medical_specialty
Parkinson's disease
Movement
Biomedical Engineering
Bioengineering
Disease
Severity of Illness Index
Applied Microbiology and Biotechnology
Physical medicine and rehabilitation
Rating scale
Humans
Medicine
Gait
Balance (ability)
Data collection
Receiver operating characteristic
business.industry
Parkinson Disease
Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3]
medicine.disease
Molecular Medicine
Observational study
Smartphone
business
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 10870156
- Database :
- OpenAIRE
- Journal :
- Nature Biotechnology, 40, 4, pp. 480-487, Nature Biotechnology, 40, 480-487
- Accession number :
- edsair.doi.dedup.....b975cdf626e7a240b78eb28d43bc6c74
- Full Text :
- https://doi.org/10.5281/zenodo.6578510