Night-Time Monitoring System (eNightLog) for Elderly Wandering Behavior
Wandering is a common behavioral disorder in the community-dwelling elderly. More than two-thirds of caregivers believe that wandering would cause falls. While physical restraint is a common measure to address wandering, it could trigger challenging behavior in approximately 80% of the elderly with...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/3/704 |
| _version_ | 1827599191863459840 |
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| author | James Chung-Wai Cheung Eric Wing-Cheong Tam Alex Hing-Yin Mak Tim Tin-Chun Chan Will Po-Yan Lai Yong-Ping Zheng |
| author_facet | James Chung-Wai Cheung Eric Wing-Cheong Tam Alex Hing-Yin Mak Tim Tin-Chun Chan Will Po-Yan Lai Yong-Ping Zheng |
| author_sort | James Chung-Wai Cheung |
| collection | DOAJ |
| description | Wandering is a common behavioral disorder in the community-dwelling elderly. More than two-thirds of caregivers believe that wandering would cause falls. While physical restraint is a common measure to address wandering, it could trigger challenging behavior in approximately 80% of the elderly with dementia. This study aims to develop a virtual restraint using a night monitoring system (eNightLog) to provide a safe environment for the elderly and mitigate the caregiver burden. The eNightLog system consisted of remote sensors, including a near infra-red 3D time-of-flight sensor and ultrawideband sensors. An alarm system was controlled by customized software and algorithm based on the respiration rate and body posture of the elderly. The performance of the eNightLog system was evaluated in both single and double bed settings by comparing to that of a pressure mat and an infrared fence system, under simulated bed-exiting scenarios. The accuracy and precision for the three systems were 99.0%, 98.8%, 85.9% and 99.2%, 97.8%, 78.6%, respectively. With higher accuracy, precision, and a lower false alarm rate, eNightLog demonstrated its potential as an alternative to physical restraint to remedy the workload of the caregivers and the psychological impact of the elderly. |
| first_indexed | 2024-03-09T04:08:10Z |
| format | Article |
| id | doaj.art-e82cd206cc3e419ca04003b203bb83c3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T04:08:10Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e82cd206cc3e419ca04003b203bb83c32023-12-03T14:04:02ZengMDPI AGSensors1424-82202021-01-0121370410.3390/s21030704Night-Time Monitoring System (eNightLog) for Elderly Wandering BehaviorJames Chung-Wai Cheung0Eric Wing-Cheong Tam1Alex Hing-Yin Mak2Tim Tin-Chun Chan3Will Po-Yan Lai4Yong-Ping Zheng5Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, ChinaJockey Club Smart Ageing Hub, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, ChinaJockey Club Smart Ageing Hub, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, ChinaJockey Club Smart Ageing Hub, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, ChinaJockey Club Smart Ageing Hub, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, ChinaDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, ChinaWandering is a common behavioral disorder in the community-dwelling elderly. More than two-thirds of caregivers believe that wandering would cause falls. While physical restraint is a common measure to address wandering, it could trigger challenging behavior in approximately 80% of the elderly with dementia. This study aims to develop a virtual restraint using a night monitoring system (eNightLog) to provide a safe environment for the elderly and mitigate the caregiver burden. The eNightLog system consisted of remote sensors, including a near infra-red 3D time-of-flight sensor and ultrawideband sensors. An alarm system was controlled by customized software and algorithm based on the respiration rate and body posture of the elderly. The performance of the eNightLog system was evaluated in both single and double bed settings by comparing to that of a pressure mat and an infrared fence system, under simulated bed-exiting scenarios. The accuracy and precision for the three systems were 99.0%, 98.8%, 85.9% and 99.2%, 97.8%, 78.6%, respectively. With higher accuracy, precision, and a lower false alarm rate, eNightLog demonstrated its potential as an alternative to physical restraint to remedy the workload of the caregivers and the psychological impact of the elderly.https://www.mdpi.com/1424-8220/21/3/704elderlyfalldementiawanderingnight monitoringbed exiting |
| spellingShingle | James Chung-Wai Cheung Eric Wing-Cheong Tam Alex Hing-Yin Mak Tim Tin-Chun Chan Will Po-Yan Lai Yong-Ping Zheng Night-Time Monitoring System (eNightLog) for Elderly Wandering Behavior Sensors elderly fall dementia wandering night monitoring bed exiting |
| title | Night-Time Monitoring System (eNightLog) for Elderly Wandering Behavior |
| title_full | Night-Time Monitoring System (eNightLog) for Elderly Wandering Behavior |
| title_fullStr | Night-Time Monitoring System (eNightLog) for Elderly Wandering Behavior |
| title_full_unstemmed | Night-Time Monitoring System (eNightLog) for Elderly Wandering Behavior |
| title_short | Night-Time Monitoring System (eNightLog) for Elderly Wandering Behavior |
| title_sort | night time monitoring system enightlog for elderly wandering behavior |
| topic | elderly fall dementia wandering night monitoring bed exiting |
| url | https://www.mdpi.com/1424-8220/21/3/704 |
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