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Using Sensor Graphs for Monitoring the Effect on the Performance of the OTAGO Exercise Program in Older Adults
Björn Friedrich1, Carolin Lübbe1, Enno-Edzard Steen1
1Assistance Systems and Medical Device Technology, Carl von Ossietzky University, Ammerländer Heerstraße 114-118, 26129 Oldenburg, Germany.
Sensors (Basel, Switzerland)
|January 22, 2022
Summary
The OTAGO exercise program shows promise in improving older adults' mobility capacity and reducing performance decline. This pilot study suggests positive effects on daily living activities for pre-frail individuals.
Area of Science:
- Gerontology
- Rehabilitation Science
- Biomedical Engineering
Background:
- Falls are a significant risk for older adults, impacting mobility and independence.
- The OTAGO exercise program is a known fall prevention strategy.
- Limited research exists on its specific effects on mobility capacity and performance.
Purpose of the Study:
- To investigate the OTAGO exercise program's effect on mobility capacity.
- To assess the program's impact on daily living performance in older adults.
- To explore the use of motion sensors for performance monitoring.
Main Methods:
- Observational pilot study over 10 months with 15 pre-frail participants (mean age 84.6).
- Motion sensors used to monitor daily activity as a performance surrogate.
- Weighted directed multigraph analysis and least squares regression to quantify changes.
Main Results:
- Indication of a positive effect of the OTAGO program on mobility capacity in both intervention and control groups.
- Indication that the OTAGO program may reduce the decline in daily living performance.
- Pilot data suggests potential benefits for older adults' functional status.
Conclusions:
- The OTAGO program shows potential for enhancing mobility capacity and performance in older adults.
- Further research is needed to confirm causality due to the pilot nature of the study.
- Motion sensor data provides a novel approach to assess real-world performance changes.
Keywords:
ambient intelligenceexercise trainingfrail older adultshealthcaremotion sensorspervasive computingphysical performancesensor network
