Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Faculty of Health and Social Sciences | en_US |
| dc.contributor.advisor | Fong, Kenneth (RS) | en_US |
| dc.creator | Lai, Ka Ming | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/13555 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | The sensitivity of a wearable sensor on fall risk prediction for community-dwelling older people in Hong Kong : a prospective cohort study | en_US |
| dcterms.abstract | Background/objective: Because of recent advances in technology, wearables are common nowadays for detecting fall risks among old people in the community. This was a prospective cohort study aiming to investigate the sensitivity of a wearable waist-belt sensor, namely the Booguu Aspire system, in evaluating and predicting fall risk among older people in Hong Kong with a history of falls over the preceding 12 months. | en_US |
| dcterms.abstract | Methodology: We recruited 37 Hong Kong community-dwelling participants aged 60 years old or above. They were first stratified as being ‘moderate’ or ‘high’ on the fall risk rating using the Booguu sensor, and were further evaluated using physical function tests at the same time point, including the Single Leg Stand Test (SLST), 6 Metre Walk Test (6MWT), and Five Times Sit to Stand Test (5STS). All participants received quarterly follow-up phone calls for the next 12 months. Correlation and regression analyses were done to determine the relationship between the sensor-based risk rating, performance at the physical function tests, and actual falls over the 12-month period. | en_US |
| dcterms.abstract | Results: The comparison of physical performance between the older people in the high-risk and moderate-risk groups did not reveal any significant differences. There were no significant correlations between sensor-based fall risk ratings and physical function test outcomes. Discriminant functional analysis showed that the SLST, 6MWT, 5STS and HK-MoCA correctly classified 51.4%, 64.9%, 59.5% and 50% respectively, of the fall risk ratings determined by the sensor. The overall sensitivity of the fall risk ratings using the sensor was 13.51% true positives for fallers, with a false positive rate of 86.48%. The prediction of fallers in the high-risk group was only 20%, and it was unable to predict those with moderate risk. The predictive sensitivity for identifying repeated falls in the high-risk group was 8%. ROC analysis of the sensor-based fall risk rating resulted in an Area Under the Curve (AUC) of 0.688. | en_US |
| dcterms.abstract | Conclusion: The Booguu Aspire system is not useful for predicting actual falls among older people over a prospective 12-month period because of its low sensitivity and high false positive rate, as well as the lack of agreement in the rating with the physical function tests between older people in the moderate-risk and high-risk groups identified by the wearable sensor. Our findings indicate that the Booguu Aspire system may not be a sensitive tool in predicting actual fall incidents. The algorithm for fall risk classification in the wearable sensor merits further exploration. | en_US |
| dcterms.extent | viii, 50 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2024 | en_US |
| dcterms.educationalLevel | DHSc | en_US |
| dcterms.educationalLevel | All Doctorate | en_US |
| dcterms.LCSH | Falls (Accidents) in old age | en_US |
| dcterms.LCSH | Falls (Accidents) in old age -- Prevention | en_US |
| dcterms.LCSH | Wearable technology | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8004.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.12 MB | Adobe PDF | View/Open |
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