Study design of an environmental smart microphone system to detect anxiety in patients with dementia

N. Hernandez-Cruz*, M. Garcia-Constantino, J. Beltran-Marquez, D. Cruz-Sandoval, I. H. Lopez-Nava, I. Cleland, J. Favela, C. Nugent, A. Ennis, J. Rafferty, J. Synnott

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

Patients with dementia often suffer from stress episodes that escalate to anxiety. This paper presents a feasibility study of using environmental smart microphones to detect anxiety in patients with dementia. It is based on the identified auditory manifestations of anxiety. To have a better understanding of the anxiety manifestations in patients with dementia, 70 diagnosed patients were observed in-situ and 4 caregivers were interviewed. The design of an environmental smart microphone called AnxiCare has been developed and it is introduced. Feasibility interviews regarding the use of AnxiCare were conducted with caregivers at a care residence in Spain. Results from the observations, interviews and a preliminary validation are presented.

Original languageEnglish
Title of host publicationProceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2019
PublisherICST
Pages383-388
Number of pages6
ISBN (Electronic)9781450361262
DOIs
Publication statusPublished - 20 May 2019
Externally publishedYes
Event13th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2019 - Trento, Italy
Duration: 20 May 201923 May 2019

Publication series

NamePervasiveHealth: Pervasive Computing Technologies for Healthcare
ISSN (Print)2153-1633

Conference

Conference13th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2019
Country/TerritoryItaly
CityTrento
Period20/05/1923/05/19

Keywords

  • Anxiety
  • Dementia
  • Prototype design
  • Smart microphones

Fingerprint

Dive into the research topics of 'Study design of an environmental smart microphone system to detect anxiety in patients with dementia'. Together they form a unique fingerprint.

Cite this