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Analysis of patient domestic activity in recovery from hip or knee replacement surgery: modelling wrist-worn wearable RSSI and accelerometer data in the wild

Holmes, M., Song, H., Tonkin, E., Perello Nieto, M., Grant, Sabrina ORCID: https://orcid.org/0000-0003-0148-9103 and Flach, P. (2018) Analysis of patient domestic activity in recovery from hip or knee replacement surgery: modelling wrist-worn wearable RSSI and accelerometer data in the wild. Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data, 2148. pp. 13-20. ISSN 1613-0073

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Abstract

The UK health service sees around 160,000 total hip or knee replacements every year and this number is expected to rise. Expectations of surgical outcome are changing alongside demographic trends, whilst aftercare may be fractured as a result of resource limitation or other factors. Conventional assessments of health outcomes must evolve to keep up with these changing trends. In practice, patients may visit a health care professional to discuss recovery and will provide survey feedback to clinicians using standardised instruments, such as the Oxford Hip & Knee score, in the months following surgery. To aid clinicians in providing accurate assessment of patient recovery a continuous home health care monitoring system would be beneficial. In this paper the authors explore how the SPHERE sensor network can be used to automatically generate measures of recovery from arthroplasty to facilitate continuous monitoring of behaviour, including location, room transitions, movement and activity; in terms of frequency and duration; in a domestic environment. The authors present a case study of data collected from a home equipped with the SPHERE sensor network. Machine learning algorithms are applied to a week of continuous observational data to generate insights into the domestic routine of the occupant. Testing of models shows that location and activity are classified with 86% and 63% precision, respectively.

Item Type: Article
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Copyright © 2018 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

The full-text of the online published article can be accessed via the official URL.

Uncontrolled Keywords: analysis, patient domestic activity, recovery, hip replacement, knee replacement, surgery, wrist-worn wearable RSSI, accelerometer data
Divisions: College of Health, Life and Environmental Sciences > School of Nursing and Midwifery
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Copyright Info: Open access
Depositing User: Sabrina Grant
Date Deposited: 18 Nov 2019 15:47
Last Modified: 18 Nov 2019 15:47
URI: https://eprints.worc.ac.uk/id/eprint/8902

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