Kulbytė, K. (Karolina) (2019) Assessing the quality of upper limb behaviour in activities of daily living using wearable sensors. thesis, Human Movement Sciences.
Full text available on request.Abstract
Introduction. To evaluate upper limb behaviour in daily life the measurements need to be taken in real-life environments and provide information about the quality, i.e. variability and complexity of upper limb movements. We investigated the possibility to analyse upper limb acceleration signals obtained during daily life activities using several non-linear analysis tools. Aim. To assess the quality of upper limb behaviour measured with a wrist-worn accelerometer during daily life using detrended fluctuation analysis and three entropy methods. Research question. Can the quality of upper limb behaviour in activities of daily living be evaluated using ambulatory measurement of one acceleration signal obtained during daily life? Methods. 20 able-bodied participants (age 25.1 ± 2.74 years) were measured in free and splinted wrist conditions, with the latter one simulating upper limb impairment. Measurements were obtained during 6-hour period of daily life. Then active signals’ parts (~33 mins) were analysed with detrended fluctuation analysis and three entropy methods. The results of these analyses were compared using paired samples t-test and repeated measures ANOVA. Results. Detrended fluctuation analysis was able to distinguish between the wrist conditions; entropy measures showed no difference. The obtained values were very different from those indicated in the literature. Discussion. Detrended fluctuation analysis showed that splinted wrist signal was more regular in comparison with the free wrist signal, although the values for both conditions were very high. Entropy scores showed that signals in both conditions are very predictable. Such outcomes could have resulted from relatively many rest periods in the analysed signals. Conclusion. With further research, non-linear methods could potentially be applied in evaluating upper limb behaviour during daily life. However, in the future measurements should be performed in a controlled environment, so then the most appropriate data collection method could be decided. Keywords: upper limb behaviour, accelerometery, detrended fluctuation analysis, approximate entropy, sample entropy, multiscale sample entropy
| Item Type: | Thesis (UNSPECIFIED) |
|---|---|
| Supervisor name: | Bongers, dr. R.M. and Franzke, A.W. |
| Faculty: | Medical Sciences |
| Date Deposited: | 23 May 2022 08:41 |
| Last Modified: | 23 May 2022 08:41 |
| URI: | https://umcg.studenttheses.ub.rug.nl/id/eprint/3416 |
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