ArticleDementia and geriatric cognitive disorders extra
Measuring Electrodermal Activity to Improve the Identification of Agitation in Individuals with Dementia.
Article in Dementia and geriatric cognitive disorders extra. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04236557 (Individualized Music Playlist Based on ISO-Principle for De-escalating Agitation of People Living With Dementia), which is not on this map. Cited by 12 papers.
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.
Individualized Music Playlist Based on ISO-Principle for De-escalating Agitation of People Living With Dementia: A Randomized Controlled Feasibility Study
Who cites it
12 citing papers in PubMed, 32 citations in OpenAlex.
- Electrodermal Activity as a Potential Diagnostic Biomarker for Alzheimer's Disease: A Pilot Study.Sensors (Basel, Switzerland) · 2026Article
- Utilization of electrodermal activity in nursing research: A mapping review.Japan journal of nursing science : JJNS · 2026Review
- Physiological Profiling of Agitation in Dementia: Insights From Wearable Sensor Data.Innovation in aging · 2024Article
- Wearables measuring electrodermal activity to assess perceived stress in care: a scoping review.Acta neuropsychiatrica · 2023Review
- Toward Quantification of Agitation in People With Dementia Using Multimodal Sensing.Innovation in aging · 2022Article
- A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors.Journal of healthcare informatics research · 2021Article
- Singing and music making: physiological responses across early to later stages of dementia.Wellcome open research · 2021Article
- Heart Rate of Nursing Home Residents with Advanced Dementia and Persistent Vocalizations.Health and technology · 2020Article
- Sensing Technology to Monitor Behavioral and Psychological Symptoms and to Assess Treatment Response in People With Dementia. A Systematic Review.Frontiers in pharmacology · 2019Article
- Wearable Technology for Detecting Significant Moments in Individuals with Dementia.BioMed research international · 2019Article
- The Multidisciplinary Approach to Alzheimer's Disease and Dementia. A Narrative Review of Non-Pharmacological Treatment.Frontiers in neurology · 2018Review
- The Impact of Using Measurements of Electrodermal Activity in the Assessment of Problematic Behaviour in Dementia.Dementia and geriatric cognitive disorders extraArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnderstanding and interpreting the complexity of agitation in people with dementia is challenging.
objectiveTo explore whether a sensor measuring electrodermal activity (EDA) can improve the identification of agitation in individuals with dementia.
methodsNine individuals with dementia wore a sensor that measured EDA. During the same time, assistant nurses annotated the observed behavior of the person with dementia. A binary logistic regression model was applied to assess the relationship between the sensor and the assistant nurses' structured observations of agitation.
resultsThe sensor values correlated with the assistant nurses' observations both at the time of the observation and 1 and 2 h prior to the observation.
conclusionA sensor measuring EDA can support early detection of agitation in persons 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.