Name
Title | ||
|---|---|---|
Large-Scale Continuous Mobility Monitoring of Parkinson's Disease Patients Using Smartphones. |
Abstract | ||
|---|---|---|
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 24weeks 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. 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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-98551-0_2 | Lecture Notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering |
Keywords | Field | DocType |
Sensors,Activity recognition,Smartphone,Accelerometer,Machine learning,Deep learning,Parkinson's disease,Clinical trial | Parkinson's disease,Passive monitoring,Gait,Accelerometer,Clinical Practice,Clinical trial,Mobility analysis,Physical medicine and rehabilitation,Medicine | Conference |
Volume | ISSN | Citations |
247 | 1867-8211 | 0 |
PageRank | References | Authors |
0.34 | 5 | 25 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei-Yi Cheng | 1 | 0 | 0.34 |
| Florian Lipsmeier | 2 | 0 | 1.69 |
| Andrew Creigh | 3 | 0 | 0.34 |
| Alf Scotland | 4 | 0 | 1.01 |
| Timothy Kilchenmann | 5 | 0 | 0.34 |
| Liping Jin | 6 | 0 | 0.34 |
| Jens Schjodt-Eriksen | 7 | 0 | 0.34 |
| D Wolf | 8 | 8 | 2.00 |
| Yan-Ping Zhang Schärer | 9 | 2 | 1.17 |
| Ignacio Fernandez Garcia | 10 | 0 | 0.34 |
| Juliane Siebourg-Polster | 11 | 0 | 0.68 |
| Jay Soto | 12 | 0 | 0.34 |
| Lynne Verselis | 13 | 0 | 0.34 |
| Meret Martin-Facklam | 14 | 1 | 1.17 |
| Frank Boess | 15 | 0 | 0.68 |
| Martin Koller | 16 | 0 | 0.68 |
| Michael Grundman | 17 | 0 | 0.34 |
| Andreas U Monsch | 18 | 47 | 2.99 |
| Ron Postuma | 19 | 0 | 0.34 |
| Anirvan Ghosh | 20 | 0 | 0.68 |
| Thomas Kremer | 21 | 0 | 0.68 |
| Kirsten I. Taylor | 22 | 0 | 0.34 |
| Christian B. Czech | 23 | 0 | 1.01 |
| Christian Gossens | 24 | 0 | 0.34 |
| Michael Lindemann | 25 | 0 | 2.03 |