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
Rok vydání: 2018
Předmět:
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