Name
Title | ||
|---|---|---|
Unobtrusive and ubiquitous in-home monitoring: a methodology for continuous assessment of gait velocity in elders. |
Abstract | ||
|---|---|---|
Gait velocity has been shown to quantitatively estimate risk of future hospitalization, a predictor of disability, and has been shown to slow prior to cognitive decline. In this paper, we describe a system for continuous and unobtrusive in-home assessment of gait velocity, a critical metric of function. This system is based on estimating walking speed from noisy time and location data collected by... |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TBME.2009.2036732 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Biomedical monitoring,Legged locomotion,Medical services,Infrared detectors,Calibration,Aging,Motion detection,Biomedical measurements,Velocity measurement,Senior citizens | Computer vision,Motion detection,Gait,Linear model,Simulation,Remote patient monitoring,Computer science,Gait analysis,Artificial intelligence,Calibration,Cognitive decline,Preferred walking speed | Journal |
Volume | Issue | ISSN |
57 | 4 | 0018-9294 |
Citations | PageRank | References |
48 | 5.78 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stuart Hagler | 1 | 66 | 8.39 |
| Daniel Austin | 2 | 91 | 17.29 |
| Tamara L. Hayes | 3 | 134 | 17.52 |
| Jeffrey Kaye | 4 | 131 | 13.09 |
| Misha Pavel | 5 | 760 | 99.04 |