Literature DB >> 29571749

Detecting agitation and aggression in people with dementia using sensors-A systematic review.

Shehroz S Khan1, Bing Ye2, Babak Taati3, Alex Mihailidis3.   

Abstract

Agitation and aggression are among the most challenging symptoms of dementia. Agitated persons with dementia can harm themselves, their caregivers, or other patients in a care facility. Automatic detection of agitation would be useful to alert caregivers so that appropriate interventions can be performed. The building blocks in the automatic detection of agitation and aggression are appropriate sensing platforms and generalized predictive models. In this article, we perform a systematic review of studies that use different types of sensors to detect agitation and aggression in persons with dementia. We conclude that actigraphy shows some evidence of correlation with incidences of agitation and aggression; however, multimodal sensing has not been fully evaluated for this purpose. Based on this systematic review, we provide guidelines and recommendations for future research directions in this field.
Copyright © 2018 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aggression; Agitation; Dementia; Machine learning; Sensor

Mesh:

Year:  2018        PMID: 29571749     DOI: 10.1016/j.jalz.2018.02.004

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  18 in total

1.  Actigraphy studies and clinical and biobehavioural correlates in schizophrenia: a systematic review.

Authors:  Zi Ying Wee; Samantha Wei Lee Yong; Qian Hui Chew; Cuntai Guan; Tih Shih Lee; Kang Sim
Journal:  J Neural Transm (Vienna)       Date:  2019-03-19       Impact factor: 3.575

2.  A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors.

Authors:  S Spasojevic; J Nogas; A Iaboni; B Ye; A Mihailidis; A Wang; S J Li; L S Martin; K Newman; S S Khan
Journal:  J Healthc Inform Res       Date:  2021-05-01

3.  Challenges in Collecting Big Data in A Clinical Environment with Vulnerable Population: Lessons Learned from A Study Using A Multi-modal Sensors Platform.

Authors:  Bing Ye; Shehroz S Khan; Belkacem Chikhaoui; Andrea Iaboni; Lori Schindel Martin; Kristine Newman; Angel Wang; Alex Mihailidis
Journal:  Sci Eng Ethics       Date:  2018-10-24       Impact factor: 3.525

Review 4.  Integrative review: Persistent vocalizations among nursing home residents with dementia.

Authors:  Justine S Sefcik; Mary Ersek; Sasha C Hartnett; Pamela Z Cacchione
Journal:  Int Psychogeriatr       Date:  2018-10-10       Impact factor: 3.878

5.  Digital Dementia Care for the Future: Opportunities and Challenges.

Authors:  Marina Ramsey; Ellen E Lee
Journal:  Am J Geriatr Psychiatry       Date:  2021-05-16       Impact factor: 4.105

Review 6.  Quality of Life Framework for Personalised Ageing: A Systematic Review of ICT Solutions.

Authors:  Sabina Baraković; Jasmina Baraković Husić; Joost van Hoof; Ondrej Krejcar; Petra Maresova; Zahid Akhtar; Francisco Jose Melero
Journal:  Int J Environ Res Public Health       Date:  2020-04-24       Impact factor: 3.390

7.  Personalising Management of Behavioural and Psychological Symptoms of Dementia in Nursing Homes: Exploring the Synergy of Quantitative and Qualitative Data.

Authors:  Gubing Wang; Haotian Gong; Armagan Albayrak; Tischa J M van der Cammen; Gerd Kortuem
Journal:  Biomed Res Int       Date:  2020-07-09       Impact factor: 3.411

8.  Sensing a problem: Proof of concept for characterizing and predicting agitation.

Authors:  Wan-Tai M Au-Yeung; Lyndsey Miller; Zachary Beattie; Hiroko H Dodge; Christina Reynolds; Ipsit Vahia; Jeffrey Kaye
Journal:  Alzheimers Dement (N Y)       Date:  2020-08-24

9.  Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia.

Authors:  Stefan Teipel; Alexandra König; Jesse Hoey; Jeff Kaye; Frank Krüger; Julie M Robillard; Thomas Kirste; Claudio Babiloni
Journal:  Alzheimers Dement       Date:  2018-06-21       Impact factor: 21.566

Review 10.  Step by Step Towards Effective Human Activity Recognition: A Balance between Energy Consumption and Latency in Health and Wellbeing Applications.

Authors:  Enida Cero Dinarević; Jasmina Baraković Husić; Sabina Baraković
Journal:  Sensors (Basel)       Date:  2019-11-27       Impact factor: 3.576

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