ArticleBioMed research international2019
Wearable Technology for Detecting Significant Moments in Individuals with Dementia.
Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Review of Technology-Supported Multimodal Solutions for People with Dementia.Sensors (Basel, Switzerland) · 2021Pooled it
- Electrodermal Activity as a Potential Diagnostic Biomarker for Alzheimer's Disease: A Pilot Study.Sensors (Basel, Switzerland) · 2026Article
- Wearable sensors for monitoring caregivers of people with dementia: a scoping review.European geriatric medicine · 2025Article
- Feeling safe, feeling connected: aesthetic and polyvagal approaches to dementia care.Frontiers in dementia · 2025Article
- Existing Digital Health Technology Index Summary Report for Older Adults Living with Neurocognitive Disorders (Mild and Major) and Their Informal Caregivers: An Environmental Scan.Geriatrics (Basel, Switzerland) · 2024Review
- Using AI-Based Technologies to Help Nurses Detect Behavioral Disorders: Narrative Literature Review.JMIR nursing · 2024Review
- Noninvasive monitoring technologies to identify discomfort and distressing symptoms in persons with limited communication at the end of life: a scoping review.BMC palliative care · 2024Article
- Wearables measuring electrodermal activity to assess perceived stress in care: a scoping review.Acta neuropsychiatrica · 2023Review
- Assessing the Effects of Nature on Physiological States Using Wearable Technologies.International journal of environmental research and public health · 2022Article
- Metal Nanoparticles and Carbon-Based Nanomaterials for Improved Performances of Electrochemical (Bio)Sensors with Biomedical Applications.Materials (Basel, Switzerland) · 2021Review
- Interpersonal Physiological Synchrony for Detecting Moments of Connection in Persons With Dementia: A Pilot Study.Frontiers in psychology · 2021Article
- A Perspective Roadmap for IoMT-Based Early Detection and Care of the Neural Disorder, Dementia.Journal of healthcare engineering · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The detection of significant moments can support the care of individuals with dementia by making visible what is most meaningful to them and maintaining a sense of interpersonal connection. We present a novel intelligent assistive technology (IAT) for the detection of significant moments based on patterns of physiological signal changes in individuals with dementia and their caregivers. The parameters of the IAT are tailored to each individual's idiosyncratic physiological response patterns through an iterative process of incorporating subjective feedback on videos extracted from candidate significant moments identified through the IAT algorithm. The IAT was tested on three dyads (individual with dementia and their primary caregiver) during an eight-week movement program. Upon completion of the program, the IAT identified distinct, personal characteristics of physiological responsiveness in each participant. Tailored algorithms could detect moments of significance experienced by either member of the dyad with an agreement with subjective reports of 70%. These moments were constituted by both physical and emotional significances (e.g., experiences of pain or anxiety) and interpersonal significance (e.g., moments of heighted connection). We provide a freely available MATLAB toolbox with the IAT software in hopes that the assistive technology community can benefit from and contribute to these tools for understanding the subjective experiences of individuals with dementia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.