System architecture of customized intelligent lighting control and indoor environment monitoring system for persons with mild cognitive impairment or dementia

Raatikainen, Mika; Ciszek, Robert; Närväinen, Johanna; Merilahti, Juho; Siikanen, Sami; Ollikainen, Timo; Hallikainen, Ilona; Skön, Jukka-Pekka

doi:10.1109/healthcom.2016.7749463

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…67 Unfortunately, the residents' exposure to light in care facilities is often reduced, and the actual light intensity is lower than the standards. 22,68 We found some bedrooms on the ground floor did not have sufficient light during the daytime. These bedrooms were along the street, and thus, the constant passing of pedestrians and vehicles caused residents to close the curtains to protect their privacy.…”

Section: Discussionmentioning

confidence: 94%

Supporting dementia care by monitoring indoor environmental quality in a nursing home

Guerra-Santin

Grave

et al. 2023

Indoor and Built Environment

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The indoor environment quality in care facilities impacts residents’ daily lives. Sensor technology has been proven useful in evaluating the indoor environment of buildings, but the process of using this information to improve residents’ comfort, specifically in the context of nursing homes, is still underdeveloped. Thus, this study focuses on monitoring indoor environmental quality in a nursing home in the Netherlands, supported by professional caregivers’ insights. A campaign was conducted for one year to monitor eight rooms, and a mixed-method approach was used to collect and analyse the data on local weather, building facility operation and proxies’ responses to residents’ comfort. Seventeen care professionals and twenty-two guardians (visitors) answered questions based on their opinions and observation. The results show that the low indoor humidity during heating seasons and high CO2 concentration at night were the main factors leading to environment-related symptoms of residents and care professionals, such as dry eyes. Furthermore, we found that data outliers can help to reveal residents’ occupancy, ventilation habits and activity time, thus showing the application value of environmental sensors in dementia care. We also recommend using non-intrusive sensors for nursing home residents and taking into account room layouts and occupants’ conditions before installing sensors.

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Section: Discussionmentioning

confidence: 94%