Name
Abstract | ||
|---|---|---|
In this paper, we present PoCM2 (Point-of-Care Mobility Monitoring), a generic and extensible at-home mobility evaluation and monitoring system. PoCM2 uses both 3D visual sensors (such as Microsoft Kinect) and mobile sensors (i.e., internal and external sensors embedded with/connected to a mobile device such as a smartphone) for complementary data acquisition, as well as a series of analytics that allow evaluation of both archived and real-time mobility data. We demonstrate the performance of PoCM2 with a specific application developed for freeze detection and quantification from Parkinson's Disease mobility data, as an approach to estimate the medication level of the PD patients and potentially recommend adjustments. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2534088.2534097 | Wireless Health 2013 |
Keywords | Field | DocType |
monitoring mobility disorder,mobile sensor,visual sensor,complementary data acquisition,pd patient,mobile device,point-of-care mobility monitoring,microsoft kinect,real-time mobility data,external sensor,extensible at-home mobility evaluation,disease mobility data,cardiology | Monitoring system,Data acquisition,Mobile device,Engineering,Analytics,Embedded system | Conference |
Citations | PageRank | References |
2 | 0.44 | 2 |
Authors | ||
13 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farnoush B. Kashani | 1 | 2 | 0.44 |
| Gérard G. Medioni | 2 | 2399 | 255.72 |
| Khanh Nguyen | 3 | 128 | 10.39 |
| Luciano Nocera | 4 | 97 | 10.83 |
| Cyrus Shahabi | 5 | 5010 | 411.59 |
| Ruizhe Wang | 6 | 68 | 5.90 |
| Cesar E. Blanco | 7 | 14 | 1.32 |
| Yi-An Chen | 8 | 89 | 5.36 |
| Yu-Chen Chung | 9 | 2 | 0.44 |
| Beth Fisher | 10 | 2 | 0.44 |
| Sara Mulroy | 11 | 2 | 0.44 |
| Philip S. Requejo | 12 | 6 | 1.84 |
| Carolee Winstein | 13 | 2 | 0.78 |