Name
Abstract | ||
|---|---|---|
The use of motion tracking devices in healthcare is under investigation. Although many motion tracking applications have been proposed to monitor the progress of rehabilitation, using such technology to quantify the progression or improvement of therapies for movement disorders is still scarce. In this study, we introduce a touch-free reaching task which uses a motion sensing device. Our motion tracking system combines a motion tracking device and visual feedback to implement a movement task for the evaluation of the state of motor functions impairment symptoms in Parkinson's disease and other movement disorders. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/EMBC.2017.8037713 | 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
Center-out reaching task, motion sensing device, motion tracking, Microsoft Kinect, Parkinson's disease, movement disorder, neuromodulation | Computer vision,Rehabilitation,Parkinson's disease,Movement disorders,Computer science,Artificial intelligence,Match moving,Motion sensing | Conference |
Volume | ISSN | Citations |
2017 | 1094-687X | 0 |
PageRank | References | Authors |
0.34 | 2 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yousef Salimpour | 1 | 0 | 2.03 |
| Jui Hong Chien | 2 | 0 | 1.01 |
| Chang-Chia Liu | 3 | 0 | 0.68 |
| Lee Sangwon | 4 | 2 | 2.78 |
| Sergio Guadix | 5 | 0 | 0.34 |
| Kelly A. Mills | 6 | 0 | 3.38 |
| William S. Anderson | 7 | 10 | 5.52 |