Ageing population supported by ambient-assisted living in the Kingdom of Saudi Arabia

2022 ◽  
pp. 43-78
Author(s):  
Majid H. Alsulami ◽  
Anthony S. Atkins ◽  
Ali S. Sorour ◽  
Russell J. Campion
Keyword(s):  
Saudi Arabia ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Ageing Population ◽  
Kingdom Of Saudi Arabia

Ambient Assisted Living and Internet of Things

2019 ◽  
pp. 100-115 ◽  
Author(s):  
Gonçalo Marques
Keyword(s):  
Internet Of Things ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Physical Object ◽  
World Population ◽  
Ageing Population ◽  
Communication Devices ◽  
Great Relevance ◽  
The One ◽  
Systems Architectures

The study of systems and architectures for ambient assisted living (AAL) is undoubtedly a topic of great relevance given the ageing of the world population. On the one hand, AAL technologies are designed to meet the needs of the ageing population in order to maintain their independence as long as possible. On the other hand, internet of things (IoT) proposes that various “things,” which include not only communication devices but also every other physical object on the planet, are going to be connected and will be controlled across the internet. The continuous technological advancements turn possible to build smart objects with great capabilities for sensing and connecting turn possible several advancements in AAL and IoT systems architectures. Advances in networking, sensors, and embedded devices have made it possible to monitor and provide assistance to people in their homes. This chapter reviews the state of art on AAL and IoT and their applications for enhanced indoor living environments and occupational health.

Decision-making framework for using ambient assisted living

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Majid H. Alsulami ◽  
Mohammed S. Alsaqer ◽  
Anthony S. Atkins
Keyword(s):  
Decision Making ◽  
Saudi Arabia ◽  
Health Care Providers ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Care Providers ◽  
Content Type ◽  
Decision Making Framework

Purpose Technology plays an important role in assisting elderly people to live independently, longer and improve their quality of life and health, in supporting their daily activities, etc. The ageing population becomes a global phenomenon. The population of Saudi Arabia continues to age (>60 years of age) currently (5%) compared to other group ages. In 2050, it will increase rapidly to 20.9% of the Saudi population. The current research aims at examining the barriers that health-care providers in the Kingdom of Saudi Arabia are experiencing in the adoption of ambient assisted living (AAL) technologies among the elderly. The study aims to identify a challenging issue with the increasing the number of elderly among the population in the country, which has highlighted the need to use AAL technology to improve the quality of life among the elderly. Design/methodology/approach This study involved a community of practice (CoP) study as a method of data collection where data collected were presented and discussed in line with the existing literature review findings. Findings In total, 14 factors were identified in this study and discussed in the context of Saudi Arabia, which resulted in developing a decision-making framework for using AAL by health-care providers. Those factors are essential in boosting the usage of technology in improving elderly health in Saudi Arabia. Research limitations/implications This study includes implications for developing a decision-making framework for using AAL. Social implications This study clarifies that technology can connect elderly people with society. Originality/value In total, 14 factors were identified in this study and discussed in the context of Saudi Arabia.

scholarly journals Deep learning-based ambient assisted living for self-management of cardiovascular conditions

2021 ◽  
Author(s):  
Maria Ahmed Qureshi ◽  
Kashif Naseer Qureshi ◽  
Gwanggil Jeon ◽  
Francesco Piccialli
Keyword(s):  
Deep Learning ◽  
Cardiovascular Diseases ◽  
Learning Strategies ◽  
Assisted Living ◽  
New Technologies ◽  
Ambient Assisted Living ◽  
World Health ◽  
Self Management ◽  
Ageing Population ◽  
Cloud Models

AbstractAccording to the World Health Organization, cardiovascular diseases contribute to 17.7 million deaths per year and are rising with a growing ageing population. In order to handle these challenges, the evolved countries are now evolving workable solutions based on new communication technologies such as ambient assisted living. In these solutions, the most well-known solutions are wearable devices for patient monitoring, telemedicine and mHealth systems. This systematic literature review presents the detailed literature on ambient assisted living solutions and helps to understand how ambient assisted living helps and motivates patients with cardiovascular diseases for self-management to reduce associated morbidity and mortalities. Preferred reporting items for systematic reviews and meta-analyses technique are used to answer the research questions. The paper is divided into four main themes, including self-monitoring wearable systems, ambient assisted living in aged populations, clinician management systems and deep learning-based systems for cardiovascular diagnosis. For each theme, a detailed investigation shows (1) how these new technologies are nowadays integrated into diagnostic systems and (2) how new technologies like IoT sensors, cloud models, machine and deep learning strategies can be used to improve the medical services. This study helps to identify the strengths and weaknesses of novel ambient assisted living environments for medical applications. Besides, this review assists in reducing the dependence on caregivers and the healthcare systems.

scholarly journals Sensor Failure Detection in Ambient Assisted Living Using Association Rule Mining

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6760 ◽  
Author(s):  
Nancy E. ElHady ◽  
Stephan Jonas ◽  
Julien Provost ◽  
Veit Senner
Keyword(s):  
Health Status ◽  
Assisted Living ◽  
Association Rule ◽  
Association Rule Mining ◽  
Ambient Assisted Living ◽  
Failure Detection ◽  
Ageing Population ◽  
Sensor Failure ◽  
Rule Mining ◽  
Isolation System

Ambient Assisted Living (AAL) is becoming crucial to help governments face the consequences of the emerging ageing population. It aims to motivate independent living of older adults at their place of residence by monitoring their activities in an unobtrusive way. However, challenges are still faced to develop a practical AAL system. One of those challenges is detecting failures in non-intrusive sensors in the presence of the non-deterministic human behaviour. This paper proposes sensor failure detection and isolation system in the AAL environments equipped with event-driven, ambient binary sensors. Association Rule mining is used to extract fault-free correlations between sensors during the nominal behaviour of the resident. Pruning is then applied to obtain a non-redundant set of rules that captures the strongest correlations between sensors. The pruned rules are then monitored in real-time to update the health status of each sensor according to the satisfaction and/or unsatisfaction of rules. A sensor is flagged as faulty when its health status falls below a certain threshold. The results show that detection and isolation of sensors using the proposed method could be achieved using unlabelled datasets and without prior knowledge of the sensors’ topology.

scholarly journals Treatment Adherence in Chronic Conditions during Ageing: Uses, Functionalities, and Cultural Adaptation of the Assistant on Care and Health Offline (ACHO) in Rural Areas

2021 ◽  
Vol 11 (3) ◽  
pp. 173
Author(s):  
David Conde-Caballero ◽  
Borja Rivero-Jiménez ◽  
Carmen Cipriano-Crespo ◽  
Manuel Jesus-Azabal ◽  
Jose Garcia-Alonso ◽  
...  
Keyword(s):  
Treatment Adherence ◽  
Assisted Living ◽  
Rural Areas ◽  
Chronic Conditions ◽  
Medication Management ◽  
Ambient Assisted Living ◽  
Medication Administration ◽  
Personal Identification ◽  
Ageing Population ◽  
Two Stages

The increasingly common scenario of an ageing population is related to a rise in the prevalence of problems associated with chronic conditions and comorbidities. Polypharmacy is frequent among this population, and it is a situation that can create medication management and adherence issues. This article introduces the features and functionalities of a voice assistant (Assistant on Health and Care Offline, ACHO) that aims to facilitate treatment adherence among elderly adults. Specifically adapted for its use in rural contexts, it does not require an Internet connection. Its development consisted of two stages: a first stage of problem diagnosis, in which the classic tools of ethnographic fieldwork were used, and a second stage of design implementing methodologies developed by Ambient Assisted Living (AAL) programmes. The main design characteristic of this new digital care system is that it is adapted to the needs of its end-users. It includes features such as voice customisation and the personal identification of medication, it can be connected to other digital devices, and information is introduced and supervised by healthcare professionals. These custom features introduce a safer medication administration procedure, improve supervision strategies, and increase patients’ trust in the prescription process.

scholarly journals Privacy and Data Protection towards Elderly Healthcare

2015 ◽  
pp. 682-698
Author(s):  
Ângelo Costa ◽  
Francisco Andrade ◽  
Paulo Novais
Keyword(s):  
Assisted Living ◽  
Elderly Population ◽  
Daily Life ◽  
Ambient Assisted Living ◽  
Personal Data ◽  
The Elderly ◽  
Ageing Population ◽  
Non Invasive ◽  
Elderly Healthcare ◽  
Living Area

Developed societies are registering a dramatic change in terms of population evolution, the most important fact being the ageing population. An alarming fact is that the birth-rate is dropping very fast, inverting the ageing pyramid that used to have a higher incidence on the young population, now having a higher incidence in the older population. In the quest to provide answers to some problems the elderly population has, applications and projects arise from the Ambient Assisted Living area, providing services that help the user in his daily life, providing the needed help and trying to be as non-invasive as possible. The fact is that these systems operate optimally by using information about the user, assisting him according to his preferences. The data gathered for such events is highly personal and sensitive. This can cause a loss of privacy and affect personal data. In this chapter, the authors present an Ambient Assisted Living project towards assistance to an elderly population. The problems and possible solutions in the legal area towards loss of privacy and personal data and information use is also covered.

scholarly journals Privacy and Data Protection towards Elderly Healthcare

2013 ◽  
pp. 330-346 ◽  
Author(s):  
Ângelo Costa ◽  
Francisco Andrade ◽  
Paulo Novais
Keyword(s):  
Assisted Living ◽  
Elderly Population ◽  
Daily Life ◽  
Ambient Assisted Living ◽  
Personal Data ◽  
The Elderly ◽  
Ageing Population ◽  
Non Invasive ◽  
Elderly Healthcare ◽  
Living Area

Developed societies are registering a dramatic change in terms of population evolution, the most important fact being the ageing population. An alarming fact is that the birth-rate is dropping very fast, inverting the ageing pyramid that used to have a higher incidence on the young population, now having a higher incidence in the older population. In the quest to provide answers to some problems the elderly population has, applications and projects arise from the Ambient Assisted Living area, providing services that help the user in his daily life, providing the needed help and trying to be as non-invasive as possible. The fact is that these systems operate optimally by using information about the user, assisting him according to his preferences. The data gathered for such events is highly personal and sensitive. This can cause a loss of privacy and affect personal data. In this chapter, the authors present an Ambient Assisted Living project towards assistance to an elderly population. The problems and possible solutions in the legal area towards loss of privacy and personal data and information use is also covered.

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