Show simple item record

dc.contributor.authorTorres, RLS
dc.contributor.authorVisvanathan, R
dc.contributor.authorHoskins, S
dc.contributor.authorvan den Hengel, A
dc.contributor.authorRanasinghe, DC
dc.date.accessioned2020-12-22T03:49:45Z
dc.date.available2020-12-22T03:49:45Z
dc.date.issued2016-04-01
dc.identifierpii: s16040546
dc.identifier.citationTorres, R. L. S., Visvanathan, R., Hoskins, S., van den Hengel, A. & Ranasinghe, D. C. (2016). Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People. SENSORS, 16 (4), https://doi.org/10.3390/s16040546.
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/11343/257939
dc.description.abstractAging populations are increasing worldwide and strategies to minimize the impact of falls on older people need to be examined. Falls in hospitals are common and current hospital technological implementations use localized sensors on beds and chairs to alert caregivers of unsupervised patient ambulations; however, such systems have high false alarm rates. We investigate the recognition of bed and chair exits in real-time using a wireless wearable sensor worn by healthy older volunteers. Fourteen healthy older participants joined in supervised trials. They wore a batteryless, lightweight and wireless sensor over their attire and performed a set of broadly scripted activities. We developed a movement monitoring approach for the recognition of bed and chair exits based on a machine learning activity predictor. We investigated the effectiveness of our approach in generating bed and chair exit alerts in two possible clinical deployments (Room 1 and Room 2). The system obtained recall results above 93% (Room 2) and 94% (Room 1) for bed and chair exits, respectively. Precision was >78% and 67%, respectively, while F-score was >84% and 77% for bed and chair exits, respectively. This system has potential for real-time monitoring but further research in the final target population of older people is necessary.
dc.languageEnglish
dc.publisherMDPI
dc.titleEffectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People
dc.typeJournal Article
dc.identifier.doi10.3390/s16040546
melbourne.affiliation.departmentUniversity General
melbourne.source.titleSensors
melbourne.source.volume16
melbourne.source.issue4
dc.rights.licenseCC BY
melbourne.elementsid1181545
melbourne.contributor.authorvan den Hengel, Anton
dc.identifier.eissn1424-8220
melbourne.accessrightsOpen Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record