Literature DB >> 31841201

Ambient assisted living technologies for older adults with cognitive and physical impairments: a review.

B Ganesan1, T Gowda, A Al-Jumaily, K N K Fong, S K Meena, R K Y Tong.   

Abstract

The global number of people over the age of 60 years is expected to increase from 970 million to 2.1 billion in 2050 and 3.1 billion in 2100. About 80% of the aging population will be in the developing countries. Aging population may suffer from various physical, cognitive, and social problems, due to aging process such as impairment of physical related functions (decreased mobility and walking speed, falls, frailty, decreased walking speed, difficulties in basic, and instrumental activities of daily living), cognitive related functions (memory-related issues), sensory functions (hearing loss, cataracts and refractive errors, presbyopia, decreased vestibular function), behavioural and psychological disorders, social isolation issues, and poor quality of life. Over the period of the last few decades, emerging technologies such as internet of things (IoT), artificial intelligence (AI), sensors, cloud computing, wireless communication technologies, and assistive robotics have given the vision to develop various ambient or active assisted living (AAL) approaches for supporting an elderly people to live safely and independently in their living environment and participate in their daily and community activities, as well as supporting them to maintain their physical, mental health, and quality of their life. The aim of this paper is to review the use of Ambient or Active Assisted Living for older adults with physical, cognitive impairments, and their social participation.

Entities:  

Year:  2019        PMID: 31841201     DOI: 10.26355/eurrev_201912_19686

Source DB:  PubMed          Journal:  Eur Rev Med Pharmacol Sci        ISSN: 1128-3602            Impact factor:   3.507


  5 in total

1.  Hearing Impairment With Cognitive Decline Increases All-Cause Mortality Risk in Chinese Adults Aged 65 Years or Older: A Population-Based Longitudinal Study.

Authors:  Jun Wang; Dan Liu; E Tian; Zhao-Qi Guo; Jing-Yu Chen; Wei-Jia Kong; Su-Lin Zhang
Journal:  Front Aging Neurosci       Date:  2022-06-24       Impact factor: 5.702

Review 2.  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

3.  Smart@home - supporting safety and mobility of elderly and care dependent people in their own homes through the use of technical assistance systems and conventional mobility supporting tools: a cross-sectional survey.

Authors:  Nils Axel Lahmann; Sandra Strube-Lahmann; Deborah Elisabeth Jachan; Ursula Müller-Werdan
Journal:  BMC Geriatr       Date:  2021-03-24       Impact factor: 3.921

4.  Detection of Unilateral Arm Paresis after Stroke by Wearable Accelerometers and Machine Learning.

Authors:  Johan Wasselius; Eric Lyckegård Finn; Emma Persson; Petter Ericson; Christina Brogårdh; Arne G Lindgren; Teresa Ullberg; Kalle Åström
Journal:  Sensors (Basel)       Date:  2021-11-23       Impact factor: 3.576

5.  Aging Adults' Motivation to Use Embodied Conversational Agents in Instrumental Activities of Daily Living: Results of Latent Profile Analysis.

Authors:  Urška Smrke; Nejc Plohl; Izidor Mlakar
Journal:  Int J Environ Res Public Health       Date:  2022-02-18       Impact factor: 3.390

  5 in total

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