Literature DB >> 35419507

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

S Spasojevic1,2, J Nogas3, A Iaboni1,3, B Ye1,3, A Mihailidis1,3, A Wang4, S J Li4, L S Martin4, K Newman4, S S Khan1,3.   

Abstract

People living with dementia (PLwD) often exhibit behavioral and psychological symptoms, such as episodes of agitation and aggression. Agitated behavior in PLwD causes distress and increases the risk of injury to both patients and caregivers. In this paper, we present the use of a multi-modal wearable device that captures motion and physiological indicators to detect agitation in PLwD. We identify features extracted from sensor signals that are the most relevant for agitation detection. We hypothesize that combining multi-modal sensor data will be more effective to identify agitation in PLwD in comparison to a single sensor. The results of this unique pilot study are based on 17 participants' data collected during 600 days from PLwD admitted to a Specialized Dementia Unit. Our findings show the importance of using multi-modal sensor data and highlight the most significant features for agitation detection.
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.

Entities:  

Keywords:  Agitation; Dementia; Feature extraction; Machine learning; Multi-modal sensors

Year:  2021        PMID: 35419507      PMCID: PMC8982742          DOI: 10.1007/s41666-021-00095-7

Source DB:  PubMed          Journal:  J Healthc Inform Res        ISSN: 2509-498X


  22 in total

1.  Decomposing skin conductance into tonic and phasic components.

Authors:  C L Lim; C Rennie; R J Barry; H Bahramali; I Lazzaro; B Manor; E Gordon
Journal:  Int J Psychophysiol       Date:  1997-02       Impact factor: 2.997

2.  Validation of noninvasive body sensor network technology in the detection of agitation in dementia.

Authors:  Azziza Bankole; Martha Anderson; Tonya Smith-Jackson; Aubrey Knight; Kyunghui Oh; Jeff Brantley; Adam Barth; John Lach
Journal:  Am J Alzheimers Dis Other Demen       Date:  2012-08       Impact factor: 2.035

3.  The Pittsburgh Agitation Scale: A User-Friendly Instrument for Rating Agitation in Dementia Patients.

Authors:  Jules Rosen; Louis Burgio; Marcia Kollar; Michelle Cain; Mary Allison; Mary Fogleman; Mary Michael; George S Zubenko
Journal:  Am J Geriatr Psychiatry       Date:  2013-01-28       Impact factor: 4.105

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

Authors:  Shehroz S Khan; Bing Ye; Babak Taati; Alex Mihailidis
Journal:  Alzheimers Dement       Date:  2018-03-20       Impact factor: 21.566

5.  Committee report. Publication recommendations for electrodermal measurements.

Authors:  D C Fowles; M J Christie; R Edelberg; W W Grings; D T Lykken; P H Venables
Journal:  Psychophysiology       Date:  1981-05       Impact factor: 4.016

Review 6.  Conceptualization of agitation: results based on the Cohen-Mansfield Agitation Inventory and the Agitation Behavior Mapping Instrument.

Authors:  J Cohen-Mansfield
Journal:  Int Psychogeriatr       Date:  1996       Impact factor: 3.878

7.  Measuring Electrodermal Activity to Improve the Identification of Agitation in Individuals with Dementia.

Authors:  Catharina Melander; Jesper Martinsson; Silje Gustafsson
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2017-12-06

8.  Artificial neural networks-based classification of emotions using wristband heart rate monitor data.

Authors:  Yi-Chun Chen; Chun-Chieh Hsiao; Wen-Dian Zheng; Ren-Guey Lee; Robert Lin
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.817

9.  Behavioral and psychological symptoms of dementia.

Authors:  J Cerejeira; L Lagarto; E B Mukaetova-Ladinska
Journal:  Front Neurol       Date:  2012-05-07       Impact factor: 4.003

Review 10.  Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review.

Authors:  Hugo F Posada-Quintero; Ki H Chon
Journal:  Sensors (Basel)       Date:  2020-01-15       Impact factor: 3.576

View more
  2 in total

1.  Wearable multimodal sensors for the detection of behavioral and psychological symptoms of dementia using personalized machine learning models.

Authors:  Andrea Iaboni; Sofija Spasojevic; Kristine Newman; Lori Schindel Martin; Angel Wang; Bing Ye; Alex Mihailidis; Shehroz S Khan
Journal:  Alzheimers Dement (Amst)       Date:  2022-04-27

Review 2.  Wrist accelerometry for monitoring dementia agitation behaviour in clinical settings: A scoping review.

Authors:  James Chung-Wai Cheung; Bryan Pak-Hei So; Ken Hok Man Ho; Duo Wai-Chi Wong; Alan Hiu-Fung Lam; Daphne Sze Ki Cheung
Journal:  Front Psychiatry       Date:  2022-09-16       Impact factor: 5.435

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.