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Toward Quantification of Agitation in People With Dementia Using Multimodal Sensing
BACKGROUND AND OBJECTIVES: Agitation, a critical behavioral and psychological symptom in dementia, has a profound impact on a patients’ quality of life as well as their caregivers’. Autonomous and objective characterization of agitation with multimodal systems has the potential to capture key patien...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9799041/ https://www.ncbi.nlm.nih.gov/pubmed/36600807 http://dx.doi.org/10.1093/geroni/igac064 |
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author | Davidoff, Hannah Van den Bulcke, Laura Vandenbulcke, Mathieu De Vos, Maarten Van den Stock, Jan Van Helleputte, Nick Van Hoof, Chris Van Den Bossche, Maarten J A |
author_facet | Davidoff, Hannah Van den Bulcke, Laura Vandenbulcke, Mathieu De Vos, Maarten Van den Stock, Jan Van Helleputte, Nick Van Hoof, Chris Van Den Bossche, Maarten J A |
author_sort | Davidoff, Hannah |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: Agitation, a critical behavioral and psychological symptom in dementia, has a profound impact on a patients’ quality of life as well as their caregivers’. Autonomous and objective characterization of agitation with multimodal systems has the potential to capture key patient responses or agitation triggers. RESEARCH DESIGN AND METHODS: In this article, we describe our multimodal system design that encompasses contextual parameters, physiological parameters, and psychological parameters. This design is the first to include all three of these facets in an n > 1 study. Using a combination of fixed and wearable sensors and a custom-made app for psychological annotation, we aim to identify physiological markers and contextual triggers of agitation. RESULTS: A discussion of both the clinical as well as the technical implementation of the to-date data collection protocol is presented, as well as initial insights into pilot study data collection. DISCUSSION AND IMPLICATIONS: The ongoing data collection moves us toward improved agitation quantification and subsequent prediction, eventually enabling just-in-time intervention. |
format | Online Article Text |
id | pubmed-9799041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97990412023-01-03 Toward Quantification of Agitation in People With Dementia Using Multimodal Sensing Davidoff, Hannah Van den Bulcke, Laura Vandenbulcke, Mathieu De Vos, Maarten Van den Stock, Jan Van Helleputte, Nick Van Hoof, Chris Van Den Bossche, Maarten J A Innov Aging Original Research Article BACKGROUND AND OBJECTIVES: Agitation, a critical behavioral and psychological symptom in dementia, has a profound impact on a patients’ quality of life as well as their caregivers’. Autonomous and objective characterization of agitation with multimodal systems has the potential to capture key patient responses or agitation triggers. RESEARCH DESIGN AND METHODS: In this article, we describe our multimodal system design that encompasses contextual parameters, physiological parameters, and psychological parameters. This design is the first to include all three of these facets in an n > 1 study. Using a combination of fixed and wearable sensors and a custom-made app for psychological annotation, we aim to identify physiological markers and contextual triggers of agitation. RESULTS: A discussion of both the clinical as well as the technical implementation of the to-date data collection protocol is presented, as well as initial insights into pilot study data collection. DISCUSSION AND IMPLICATIONS: The ongoing data collection moves us toward improved agitation quantification and subsequent prediction, eventually enabling just-in-time intervention. Oxford University Press 2022-10-15 /pmc/articles/PMC9799041/ /pubmed/36600807 http://dx.doi.org/10.1093/geroni/igac064 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Article Davidoff, Hannah Van den Bulcke, Laura Vandenbulcke, Mathieu De Vos, Maarten Van den Stock, Jan Van Helleputte, Nick Van Hoof, Chris Van Den Bossche, Maarten J A Toward Quantification of Agitation in People With Dementia Using Multimodal Sensing |
title | Toward Quantification of Agitation in People With Dementia Using Multimodal Sensing |
title_full | Toward Quantification of Agitation in People With Dementia Using Multimodal Sensing |
title_fullStr | Toward Quantification of Agitation in People With Dementia Using Multimodal Sensing |
title_full_unstemmed | Toward Quantification of Agitation in People With Dementia Using Multimodal Sensing |
title_short | Toward Quantification of Agitation in People With Dementia Using Multimodal Sensing |
title_sort | toward quantification of agitation in people with dementia using multimodal sensing |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9799041/ https://www.ncbi.nlm.nih.gov/pubmed/36600807 http://dx.doi.org/10.1093/geroni/igac064 |
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