Literature DB >> 26490142

Integration of Wearable Solutions in AAL Environments with Mobility Support.

Susana E P Costa1, Joel J P C Rodrigues2,3, Bruno M C Silva4, João N Isento5, Juan M Corchado6.   

Abstract

The overall demographic profile of current societies point to a significant growth of the elderly people. Associated with the increase of the average hope of life and consequent increase in chronic diseases, there is the need for protection and daily care. Increasing investments in technology, such as Ambient Assisted Living (AAL) solutions, promote the quality of live extending the time people can live in their desired environment. This paper proposes the design, deployment, and real testbed of an e-health wearable monitoring system based on the integration of several AAL tools and platforms for elderly's bio-signals monitoring. This solution includes electrocardiography (ECG), respiration rate, beats per minute, body temperature, and falls detention and notification. The paper also describes, in detail, the real pilot and analyzes some early results concerning the users quality of experience, and the found results are very promising.

Entities:  

Keywords:  Ambient assisted living; Bio-signals monitoring; Fall detection; Mobile environments; Wearable sensors

Mesh:

Year:  2015        PMID: 26490142     DOI: 10.1007/s10916-015-0342-z

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  1 in total

1.  A survey on ambient-assisted living tools for older adults.

Authors:  Parisa Rashidi; Alex Mihailidis
Journal:  IEEE J Biomed Health Inform       Date:  2013-05       Impact factor: 5.772

  1 in total
  2 in total

Review 1.  Dementia Care, Fall Detection, and Ambient-Assisted Living Technologies Help Older Adults Age in Place: A Scoping Review.

Authors:  Cameron J Gettel; Kevin Chen; Elizabeth M Goldberg
Journal:  J Appl Gerontol       Date:  2021-04-14

2.  Design and implementation of a BSN-based system for plantar health evaluation with exercise load quantification.

Authors:  Yang Wang; Zhiwen Liu; Jian Yang; Shaodong Ma
Journal:  Biomed Eng Online       Date:  2017-08-03       Impact factor: 2.819

  2 in total

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