Literature DB >> 12097176

A health monitoring system for elderly people living alone.

Shigeru Ohta1, Hiroshi Nakamoto, Yoshimitsu Shinagawa, Tomohiro Tanikawa.   

Abstract

We have developed a health monitoring system for elderly people living alone. We monitored the in-house movements of eight subjects (average age 81 years) by placing infrared sensors in each room of their homes. Because their movements were unrestricted, monitoring could last longer than other forms of monitoring. Continuous monitoring was performed for 80 months in total. We found that each subject had a specific pattern of movements. We estimated their health condition by comparing the duration of stays in specific rooms, such as the lavatory, with previously recorded data. If after analysis an unusual state was detected, we informed the family of the incident. Final decisions should be made by the family members, not automatically by computer software. For example, after contacting the subject or a neighbour by telephone, family members could call for an ambulance or arrange a visit by a doctor or home help. Thus, this system reduced anxiety for both the elderly subjects living alone and their family members.

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Year:  2002        PMID: 12097176     DOI: 10.1177/1357633X0200800305

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


  13 in total

1.  Clinicians' and patients' experiences and satisfaction with unscheduled, nighttime, Internet-based video conferencing for assessing acute medical problems in a nursing facility.

Authors:  Michael Weiner; Gunther Schadow; Donald Lindbergh; Jill Warvel; Greg Abernathy; Susan M Perkins; Joanne Fyffe; Paul R Dexter; Clement J McDonald
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  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

3.  Unobtrusive assessment of walking speed in the home using inexpensive PIR sensors.

Authors:  Tamara L Hayes; Stuart Hagler; Daniel Austin; Jeffrey Kaye; Misha Pavel
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

Review 4.  Smart health monitoring systems: an overview of design and modeling.

Authors:  Mirza Mansoor Baig; Hamid Gholamhosseini
Journal:  J Med Syst       Date:  2013-01-15       Impact factor: 4.460

5.  Automated Health Alerts Using In-Home Sensor Data for Embedded Health Assessment.

Authors:  Marjorie Skubic; Rainer Dane Guevara; Marilyn Rantz
Journal:  IEEE J Transl Eng Health Med       Date:  2015-04-10       Impact factor: 3.316

6.  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

7.  Generalized Linear Models of home activity for automatic detection of mild cognitive impairment in older adults.

Authors:  Ahmad Akl; Jasper Snoek; Alex Mihailidis
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

8.  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

Review 9.  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

10.  A framework for a context-aware elderly entertainment support system.

Authors:  M Anwar Hossain; Atif Alamri; Ahmad S Almogren; S K Alamgir Hossain; Jorge Parra
Journal:  Sensors (Basel)       Date:  2014-06-16       Impact factor: 3.576

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