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Giannios G, Mpaltadoros L, Alepopoulos V, Grammatikopoulou M, Stavropoulos TG, Nikolopoulos S, Lazarou I, Tsolaki M, Kompatsiaris I. A Semantic Framework to Detect Problems in Activities of Daily Living Monitored through Smart Home Sensors. SENSORS (BASEL, SWITZERLAND) 2024; 24:1107. [PMID: 38400265 PMCID: PMC10892043 DOI: 10.3390/s24041107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024]
Abstract
Activities of daily living (ADLs) are fundamental routine tasks that the majority of physically and mentally healthy people can independently execute. In this paper, we present a semantic framework for detecting problems in ADLs execution, monitored through smart home sensors. In the context of this work, we conducted a pilot study, gathering raw data from various sensors and devices installed in a smart home environment. The proposed framework combines multiple Semantic Web technologies (i.e., ontology, RDF, triplestore) to handle and transform these raw data into meaningful representations, forming a knowledge graph. Subsequently, SPARQL queries are used to define and construct explicit rules to detect problematic behaviors in ADL execution, a procedure that leads to generating new implicit knowledge. Finally, all available results are visualized in a clinician dashboard. The proposed framework can monitor the deterioration of ADLs performance for people across the dementia spectrum by offering a comprehensive way for clinicians to describe problematic behaviors in the everyday life of an individual.
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Affiliation(s)
- Giorgos Giannios
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Lampros Mpaltadoros
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Vasilis Alepopoulos
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Margarita Grammatikopoulou
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Thanos G. Stavropoulos
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Spiros Nikolopoulos
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Ioulietta Lazarou
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Magda Tsolaki
- Department of Neurology I, Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
- Greek Association of Alzheimer’s Disease and Related Disorders (GAADRD), 54643 Thessaloniki, Greece
- Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation (CIRI-AUTh), Balkan Center, Buildings A & B, 57001 Thessaloniki, Greece
| | - Ioannis Kompatsiaris
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
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Sannino G, Celesti A, De Falco I. Special Issue: "Intelligent Systems for Clinical Care and Remote Patient Monitoring". SENSORS (BASEL, SWITZERLAND) 2023; 23:7993. [PMID: 37766047 PMCID: PMC10537402 DOI: 10.3390/s23187993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023]
Abstract
The year 2020 was definitely like no other [...].
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Affiliation(s)
- Giovanna Sannino
- Institute for High-Performance Computing and Networking (ICAR), National Research Council, 80131 Naples, Italy
| | - Antonio Celesti
- Department of Mathematics and Computer Sciences, Physical Sciences and Earth Sciences, University of Messina, 98122 Messina, Italy
| | - Ivanoe De Falco
- Institute for High-Performance Computing and Networking (ICAR), National Research Council, 80131 Naples, Italy
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Asiri HM, Asiri AM, Alruwaili HF, Almazan J. A scoping review of different monitoring-technology devices in caring for older adults with cognitive impairment. Front Public Health 2023; 11:1144636. [PMID: 37397705 PMCID: PMC10311478 DOI: 10.3389/fpubh.2023.1144636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/05/2023] [Indexed: 07/04/2023] Open
Abstract
Various monitoring technologies are being developed to prevent potential complications among older adults with cognitive impairment and improve their cognitive function. This scoping review identified gaps in the development of monitoring-technology devices for cognitive health status and highlights areas that require further inquiry. This study used the Joanna Briggs Institute (JBI) and the PRISMA extension for the checklist for scoping reviews using the eligibility criteria recommended by Population, Concept, and Context (PCC) framework. The study population included adults aged 65 years and above, while the concept and context are monitoring-technology devices utilized in detecting and caring for an older adult with cognitive impairment. Three electronic databases (Medline, Scopus, and Web of Science) were searched, and a total of 21 articles met the selection criteria. Several innovative technology-based devices for screening, assessing, detecting, and monitoring the interventions for older adult cognitive impairment and for family caregivers to ensure the continuity of care were established. Monitoring devices are useful in promoting older adult safety, improving their quality of life by enabling them to live independently for a longer period, and improving their mental wellbeing to help reduce the burden on caregivers by providing them with information concerning the activities of older adults. Moreover, studies have shown that older adults and their caregivers can learn to use these devices effectively and comfortably with proper education and training. The results of this study provide crucial insights into innovative technologies that can be used to assess cognitive health among older adults, which could substantially improve their mental health, and this baseline information can be used for supporting public health policy and enhancing their quality of life.
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Affiliation(s)
| | | | | | - Joseph Almazan
- School of Medicine, Nazarbayev University, Astana, Kazakhstan
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