Using Accelerometers to Measure Active Time in Rehabilitation
Author Information
Author(s): Choquette Stéphane, Hamel Mathieu, Boissy Patrick
Primary Institution: Research Centre on Aging, Health and Social Services Centre, Sherbrooke Geriatric University Institute, Quebec, Canada
Hypothesis
The study aims to compare time and motion measures during physical therapy with estimates of active time obtained using a wireless body area network (WBAN).
Conclusion
The use of accelerometers in a wireless body area network provides a promising method for accurately estimating active time during rehabilitation therapy.
Supporting Evidence
- The study found strong associations between WBAN estimates of active time and time and motion measures.
- The mean percentage of differences between observation measures and WBAN estimates was -8.7% ± 2.0% for three accelerometers and -16.4% ± 10.4% for one accelerometer.
- The intraclass correlation coefficient (ICC) was 0.93 for three accelerometers and 0.79 for one accelerometer.
Takeaway
This study shows that using special sensors can help doctors see how much time patients are really active during therapy, which is important for their recovery.
Methodology
Five patients were observed during physical therapy sessions while their active time was recorded using a wireless body area network with accelerometers.
Limitations
The small sample size limits the generalizability of the results, and the study only measured active time during physical therapy sessions.
Participant Demographics
Participants were five patients aged 77.4 ± 5.2 years with various diagnoses including stroke and lower limb fractures.
Statistical Information
P-Value
p ≤ 0.001
Confidence Interval
95% CI = 0.89 to 0.96 for M3 and 0.68 to 0.87 for M1
Statistical Significance
p ≤ 0.001
Digital Object Identifier (DOI)
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