Agitation Monitoring and Prevention System for Dementia Caregiver Empowerment

Dementia caregiver burden associated with patient agitation is one of the most common reasons for the institutionalization of a person with dementia. We developed an integrative sensing, analytics, modeling, and intervention system that detects early signs of agitation and notifies the caregiver to intervene before escalation.

[1]  Sang Joon Son,et al.  Sundown Syndrome in Persons with Dementia: An Update , 2011, Psychiatry investigation.

[2]  Namrata Dave,et al.  Feature Extraction Methods LPC, PLP and MFCC In Speech Recognition , 2013 .

[3]  A. Bandura,et al.  The revised scale for caregiving self-efficacy: reliability and validity studies. , 2002, The journals of gerontology. Series B, Psychological sciences and social sciences.

[4]  R. Doody,et al.  Consequences of aggressive behavior in patients with dementia. , 2010, The Journal of neuropsychiatry and clinical neurosciences.

[5]  J. Cohen-Mansfield,et al.  A description of agitation in a nursing home. , 1989, Journal of gerontology.

[6]  M. Litaker,et al.  Social interaction, premorbid personality, and agitation in nursing home residents with dementia. , 2006, Archives of psychiatric nursing.

[7]  Jonathan Opie Gestalt theories of cognitive representation and processing , 1999 .

[8]  C. Lyketsos,et al.  Assessment and management of behavioral and psychological symptoms of dementia , 2015, BMJ : British Medical Journal.

[9]  Thanos G. Stavropoulos,et al.  Multi-sensing Monitoring and Knowledge-driven Analysis for Dementia Assessment , 2015, Int. J. E Health Medical Commun..

[10]  Eleni Stroulia,et al.  International Journal of Medical Informatics , 2016 .

[11]  E. Vidoni,et al.  A randomized trial using telehealth technology to link caregivers with dementia care experts for in‐home caregiving support: FamTechCare protocol , 2018, Research in nursing & health.

[12]  John Lach,et al.  Inferring physical agitation in dementia using smartwatch and sequential behavior models , 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

[13]  Tonya L. Smith-Jackson,et al.  BESI: Reliable and Heterogeneous Sensing and Intervention for In-home Health Applications , 2017, 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

[14]  Chad A. Phipps,et al.  CareWatch: A Home Monitoring System for Use in Homes of Persons With Cognitive Impairment , 2007, Topics in geriatric rehabilitation.

[15]  Adam T. Barth,et al.  Validation of Noninvasive Body Sensor Network Technology in the Detection of Agitation in Dementia , 2012, American journal of Alzheimer's disease and other dementias.

[16]  A. Mihailidis,et al.  The COACH prompting system to assist older adults with dementia through handwashing: An efficacy study , 2008, BMC geriatrics.

[17]  Thanos G. Stavropoulos,et al.  Multi-modal activity recognition from egocentric vision, semantic enrichment and lifelogging applications for the care of dementia , 2018, J. Vis. Commun. Image Represent..

[18]  W. Marsden I and J , 2012 .

[19]  John Lach,et al.  Mind the gaps: Edge-based monitoring for continuous room-level location tracking , 2018 .