Literature DB >> 10824373

An evaluation of an intelligent home monitoring system.

A J Sixsmith1.   

Abstract

A trial was performed of an intelligent monitoring system which used sensors in the home to identify emergencies by detecting deviations from normal activity patterns. The field trial lasted three months. Twenty-two elderly people agreed to participate. Their ages ranged from early 60s to over 85, with two-thirds in the age range 75-84 years. They lived in four different localities within the UK--Ipswich, Northumberland, Merseyside and Nottingham. A total of 61 alerts was recorded, at a mean frequency about one alert per month per client. Of the 61 alerts generated, 46 were classified as false alerts and the other 15 as genuine, although no real emergencies occurred during the study. Many people in the field trial reported enhanced feelings of safety and security, which could help to stimulate independence and help them to remain living in their own homes. The monitoring system increased the care choices available to elderly people and supported and enhanced the carer's role.

Entities:  

Mesh:

Year:  2000        PMID: 10824373     DOI: 10.1258/1357633001935059

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  15 in total

Review 1.  A review of decision support systems in telecare.

Authors:  Tasos Falas; George Papadopoulos; Andreas Stafylopatis
Journal:  J Med Syst       Date:  2003-08       Impact factor: 4.460

2.  Unobtrusive Detection of Mild Cognitive Impairment in Older Adults Through Home Monitoring.

Authors:  Ahmad Akl; Jasper Snoek; Alex Mihailidis
Journal:  IEEE J Biomed Health Inform       Date:  2015-12-24       Impact factor: 5.772

3.  Unobtrusive In-Home Monitoring of Cognitive and Physical Health: Reactions and Perceptions of Older Adults.

Authors:  Katherine Wild; Linda Boise; Jay Lundell; Anna Foucek
Journal:  J Appl Gerontol       Date:  2008

Review 4.  Aging society and gerontechnology: a solution for an independent living?

Authors:  A Piau; E Campo; P Rumeau; B Vellas; F Nourhashémi
Journal:  J Nutr Health Aging       Date:  2014-01       Impact factor: 4.075

5.  MobileRF: A Robust Device-Free Tracking System Based On a Hybrid Neural Network HMM Classifier.

Authors:  Anindya S Paul; Eric A Wan; Fatema Adenwala; Erich Schafermeyer; Nick Preiser; Jeffrey Kaye; Peter G Jacobs
Journal:  Proc ACM Int Conf Ubiquitous Comput       Date:  2014

6.  In-home monitoring of older adults with vision impairment: exploring patients', caregivers' and professionals' views.

Authors:  Melanie Frances Larizza; Ingrid Zukerman; Fabian Bohnert; Lucy Busija; Sharon Ann Bentley; R Andrew Russell; Gwyneth Rees
Journal:  J Am Med Inform Assoc       Date:  2013-05-15       Impact factor: 4.497

7.  No Place Like Home? Surveillance and What Home Means in Old Age.

Authors:  W Ben Mortenson; Andrew Sixsmith; Robert Beringer
Journal:  Can J Aging       Date:  2016-01-08

8.  Clustering Home Activity Distributions for Automatic Detection of Mild Cognitive Impairment in Older Adults.

Authors:  Ahmad Akl; Belkacem Chikhaoui; Nora Mattek; Jeffrey Kaye; Daniel Austin; Alex Mihailidis
Journal:  J Ambient Intell Smart Environ       Date:  2016

9.  Unobtrusive assessment of activity patterns associated with mild cognitive impairment.

Authors:  Tamara L Hayes; Francena Abendroth; Andre Adami; Misha Pavel; Tracy A Zitzelberger; Jeffrey A Kaye
Journal:  Alzheimers Dement       Date:  2008-11       Impact factor: 21.566

Review 10.  Framing the evidence for health smart homes and home-based consumer health technologies as a public health intervention for independent aging: a systematic review.

Authors:  Blaine Reeder; Ellen Meyer; Amanda Lazar; Shomir Chaudhuri; Hilaire J Thompson; George Demiris
Journal:  Int J Med Inform       Date:  2013-04-30       Impact factor: 4.046

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