Name
Title | ||
|---|---|---|
Unobtrusive monitoring of the longitudinal evolution of in-home gait velocity data with applications to elder care. |
Abstract | ||
|---|---|---|
Gait velocity has repeatedly been shown to be an important indicator and predictor of both cognitive and physical function, especially in elderly. However, clinical gait assessments are conducted infrequently and cannot distinguish between abrupt changes in function and changes that occur more slowly over time. Collecting gait measurements continuously in-home has recently been proposed and validated to overcome these clinical limitations. In this paper, we describe the longitudinal analysis of in-home gait velocity collected unobtrusively from passive infrared motion sensors. We first describe a model for the probability density function of the in-home gait velocities. We then describe estimation of the evolution of the density function over time and report empirically determined algorithm parameters that have performed well over a wide variety of different gait velocity data. Finally, we demonstrate how this approach allows detection of significant events (abrupt changes in function) and slower changes over time in gait velocity data collected from a sample of two elderly subjects in the Intelligent Systems for Assessing Aging Changes (ISAAC) study. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6091603 | EMBC |
Keywords | Field | DocType |
in home gait velocity data,velocity measurement,passive infrared motion sensors,probability density function,unobtrusive gait monitoring,biomedical measurement,geriatrics,longitudinal gait evolution,cognitive function,elder care,isaac study,gait analysis,intelligent systems for assessing aging changes,physical function,probability,data collection,infrared,sensors,estimation,density function theory,density functional theory,aging | Physical function,Computer vision,Gait,Intelligent decision support system,Computer science,Gait analysis,Artificial intelligence,Motion sensors,Elder care,Physical medicine and rehabilitation,Probability density function | Conference |
Volume | ISSN | ISBN |
2011 | 1557-170X | 978-1-4244-4122-8 |
Citations | PageRank | References |
1 | 0.85 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Austin | 1 | 91 | 17.29 |
| Hayes Tamara L | 2 | 1 | 0.85 |
| Kaye Jeffrey | 3 | 1 | 0.85 |
| Mattek Nora | 4 | 2 | 1.24 |
| Misha Pavel | 5 | 760 | 99.04 |