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Validation of the ambient TUG chair with light barriers and force sensors in a clinical trial
- Source :
- Assistive technology : the official journal of RESNA. 32(1)
- Publication Year :
- 2018
-
Abstract
- To initiate appropriate interventions and avoid physical decline, comprehensive measurements are needed to detect functional changes in elderly people at the earliest possible stage. The established Timed UpGo (TUG) test takes little time and, due to its standardized and easy procedure, can be conducted by elderly people in their own homes without clinical guidance. Therefore, cheap light barriers (LBs) and force sensors (FSs) are well suited ambient sensors that could easily be attached to existing (arm)chairs to measure and report TUG times in order to identify functional decline. We validated the sensitivity of these sensors in a clinical trial with 100 elderlies aged 58-92 years with a mean of 74 (±6.78) years by comparing the sensor-based results with standard TUG measurements using a stopwatch. We further evaluated the accuracy enhancement when calibrating the algorithm via a mixed linear model. With calibration, the LBs achieved a root mean square error (RMSE) of 0.83 s, compared to 1.90 s without, and the FSs achieved 0.90 s compared to 2.12 s without. The suitability of measuring accurate TUG times with each of the ambient sensors and of measuring TUG regularly in the homes of elderly people could be confirmed.
- Subjects :
- Male
030506 rehabilitation
medicine.medical_specialty
Psychological intervention
Physical Therapy, Sports Therapy and Rehabilitation
Force sensor
03 medical and health sciences
0302 clinical medicine
Physical medicine and rehabilitation
Reaction Time
Medicine
Elderly people
Humans
skin and connective tissue diseases
Geriatric Assessment
Aged
Aged, 80 and over
business.industry
Rehabilitation
Reproducibility of Results
Middle Aged
Clinical trial
Linear Models
Accidental Falls
Female
sense organs
0305 other medical science
business
030217 neurology & neurosurgery
Locomotion
Subjects
Details
- ISSN :
- 19493614
- Volume :
- 32
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Assistive technology : the official journal of RESNA
- Accession number :
- edsair.doi.dedup.....913728428243f78eff83d2eb0e0162f7