Large-Scale Continuous Mobility Monitoring of Parkinson’s Disease Patients Using Smartphones
Autor: | Martin Koller, Juliane Siebourg-Polster, Alf Scotland, Christian Gossens, Thomas Kremer, Jay Soto, Machael Grundman, Andrew Creigh, Jens Schjodt-Eriksen, Florian Lipsmeier, Michael Lindemann, Wei-Yi Cheng, Anirvan Ghosh, Ronald B. Postuma, Liping Jin, Lynne Verselis, Detlef Wolf, Christian Czech, Frank G. Boess, Timothy Kilchenmann, Andreas U. Monsch, Ignacio Fernandez Garcia, Yan-Ping Zhang-Schaerer, Kirsten I. Taylor, Meret Martin Facklam |
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Rok vydání: | 2018 |
Předmět: |
030506 rehabilitation
medicine.medical_specialty Parkinson's disease business.industry Passive monitoring medicine.disease Gait Clinical trial Clinical Practice 03 medical and health sciences 0302 clinical medicine Mobility analysis Physical medicine and rehabilitation Healthy individuals medicine 0305 other medical science business 030217 neurology & neurosurgery Daily routine |
Zdroj: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319985503 MobiHealth |
DOI: | 10.1007/978-3-319-98551-0_2 |
Popis: | Smartphone-based assessments have been considered a potential solution for continuously monitoring gait and mobility in mild to moderate Parkinson’s disease (PD) patients. Forty-four PD patients from cohorts 4 to 6 of the Multiple Ascending Dose (MAD) study of PRX002/RG7935 and thirty-five age- and gender-matched healthy individuals (i.e. healthy controls - HC) in a separate study performed smartphone-based assessments for up to 24 weeks and up to 6 weeks, respectively. The assessments included “active gait tests”, where all participants were asked to walk for 30 s with at least one 180\(^\circ \) turn, and “passive monitoring”, in which subjects carried the smartphone in a pocket or fanny pack as part of their daily routine. In total, over 6,600 active gait tests and over 30,000 h of passive monitoring data were collected. A mobility analysis indicates that patients with PD are less mobile than HCs, as manifested in time spent in gait-related activities, number of turns and sit-to-stand transitions, and power per step. It supports the potential use of smartphones for continuous mobility monitoring in future clinical practice and drug development. |
Databáze: | OpenAIRE |
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