Literature DB >> 28276963

Sensor technology more than a support.

Anna Olsson1, Ann-Christine Persson1, Aniko Bartfai1,2, Inga-Lill Boman1,2.   

Abstract

BACKGROUND: This interview study is a part of a project that evaluated sensor technology as a support in everyday activities for patients with memory impairment. AIM: To explore patients with memory impairment and their partners' experiences of using sensor technology in their homes. METHODS AND MATERIAL: Five patients with memory impairment after stroke and three partners were interviewed. Individual semi-structured interviews were analyzed with qualitative content analysis.
RESULTS: Installing sensor technology with individually prerecorded voice reminders as memory support in the home had a broad impact on patients' and their families' lives. These effects were both positive and negative. The sensor technology not only supported activities but also influenced the patients by changing behavior, providing a sense of security, independence and increased self-confidence. For the partners, the sensor technology eased daily life, but also gave increased responsibility for maintenance. Technical problems led to frustration and stress for the patients.
CONCLUSION: The results indicate that sensor technology has potential to increase opportunities for persons with memory impairment to perform and participate in activities and to unburden their partners. The results may promote an understanding of how sensor technology can be used to support persons with memory impairment in their homes.

Entities:  

Keywords:  ADL; aging in place; assistive technology; brain injury; cognitive rehabilitation; dementia; quality of life; significant others; smart home technology

Mesh:

Year:  2017        PMID: 28276963     DOI: 10.1080/11038128.2017.1293155

Source DB:  PubMed          Journal:  Scand J Occup Ther        ISSN: 1103-8128            Impact factor:   2.611


  3 in total

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Authors:  Yuxing Li; Bo Geng; Shangbin Jiao
Journal:  Entropy (Basel)       Date:  2021-04-17       Impact factor: 2.524

2.  Reverse Dispersion Entropy: A New Complexity Measure for Sensor Signal.

Authors:  Yuxing Li; Xiang Gao; Long Wang
Journal:  Sensors (Basel)       Date:  2019-11-27       Impact factor: 3.576

3.  The impact of wearable continuous vital sign monitoring on deterioration detection and clinical outcomes in hospitalised patients: a systematic review and meta-analysis.

Authors:  Carlos Areia; Christopher Biggs; Mauro Santos; Neal Thurley; Stephen Gerry; Lionel Tarassenko; Peter Watkinson; Sarah Vollam
Journal:  Crit Care       Date:  2021-09-28       Impact factor: 9.097

  3 in total

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