An Enhanced Conceptual Model for Using Ambient Assisted Living to Provide a Home Proactive Monitoring System for Elderly Saudi Arabians

The proportion of elderly people in the world population has increased and it is expected to increase further in the future. Changes in the number of children born per woman and mortality rates are major factors influencing the age profile of the population. In the Kingdom of Saudi Arabia, the proportion of elderly people in its population is expected to rise dramatically. Ambient Assisted Living (AAL) monitoring technology is an innovative form of technology that improves quality of life for elderly people and supports them with daily activities. AAL has potential to enable elderly people to live independently in their preferred environment and keep them connected with their families, relatives and friends. This paper aims to further enhance a conceptual model that was designed by the authors in 2016 to interconnect approved family members/ friends using smart phones/ tablets. The enhanced conceptual model will assist the Saudi government and elderly people to adopt AAL technology that supports early intervention at home and to minimise long term consequences of health issues.

[1]  Jaerock Kwon,et al.  Affordable Remote Health Monitoring System for the Elderly Using Smart Mobile Device , 2015 .

[2]  Isabelle Bichindaritz,et al.  Integrating Case-Based Reasoning, Rule-Based Reasoning and Intelligent Information Retrieval for Medical Problem-Solving , 1998 .

[3]  Iván Pau,et al.  The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development , 2015, Sensors.

[4]  Raúl Parada,et al.  Using RFID to Detect Interactions in Ambient Assisted Living Environments , 2015, IEEE Intelligent Systems.

[5]  Mohammed Feham,et al.  Ubiquitous Mobile Health Monitoring System for Elderly (UMHMSE) , 2011, ArXiv.

[6]  C. Morriss-Roberts,et al.  The Lived Experiences of the Fear of Falling in the Elderly Patient : An Interpretive Phenomenological Study , 2016 .

[7]  Romina Torres,et al.  Building an IoT-aware healthcare monitoring system , 2015, 2015 34th International Conference of the Chilean Computer Science Society (SCCC).

[8]  Jaime Lloret,et al.  Internet of Things for Measuring Human Activities in Ambient Assisted Living and e-Health , 2016, Netw. Protoc. Algorithms.

[9]  José M. Molina López,et al.  Gamification and Information Fusion for Rehabilitation: An Ambient Assisted Living Case Study , 2016, HCI.

[10]  K P Tripathi,et al.  A Review on Knowledge-based Expert System: Concept and Architecture , 2011 .

[11]  SarahJamal Alkhannani,et al.  MORBIDITY PATTERN AMONG ELDERLY POPULATION IN NORTHERN SAUDI ARABIA. , 2016 .

[12]  Jonna Häkkilä,et al.  Elderly Healthcare Monitoring Using an Avatar-Based 3D Virtual Environment , 2013, International journal of environmental research and public health.

[13]  Toshifumi Tsukiyama,et al.  In-home Health Monitoring System for Solitary Elderly , 2015, EUSPN/ICTH.

[14]  Samira Al Senany,et al.  Assessment of physical health status and quality of life among Saudi older adults. , 2015 .

[15]  Álvaro Marco,et al.  A Smart Kitchen for Ambient Assisted Living , 2014, Sensors.

[16]  P. Chou,et al.  Association of TSH Elevation with All-Cause Mortality in Elderly Patients with Chronic Kidney Disease , 2017, PloS one.

[17]  M. Memo,et al.  Nutrition and AGE-ing: Focusing on Alzheimer's Disease , 2017, Oxidative medicine and cellular longevity.

[18]  Subhas Mukhopadhyay,et al.  Determining Wellness through an Ambient Assisted Living Environment , 2014, IEEE Intelligent Systems.

[19]  B. ElHassan,et al.  ONTOLOGY BASED TELE -HEALTH SMART HOME CARE SYSTEM : ONTO SMART TO MONITOR ELDERLY , 2016 .

[20]  Sheroz Khan,et al.  Daily activity monitoring of an elderly Person for determining their wellness , 2016 .

[21]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[22]  Bessam Abdulrazak,et al.  Agile framework for rapid deployment in ambient assisted living environments , 2016, iiWAS.

[23]  Habibollah Pirnejad,et al.  Trialling a Personal Falls Monitoring System using Smart Phone , 2015 .

[24]  Yunzhou Zhang,et al.  Remote Mobile Health Monitoring System Based on Smart Phone and Browser/Server Structure. , 2015, Journal of healthcare engineering.

[25]  F. Rodríguez‐Artalejo,et al.  Utility of the SENIORS elderly heart failure risk model applied to the RICA registry of acute heart failure. , 2015, International journal of cardiology.

[26]  Shu-Hsien Liao,et al.  Knowledge management technologies and applications - literature review from 1995 to 2002 , 2003, Expert Syst. Appl..

[27]  Christina Jaschinski,et al.  Ambient assisted living: towards a model of technology adoption and use among elderly users , 2014, UbiComp Adjunct.

[28]  S. Al-Shehri.  Oral health status of older people in residential homes in Saudi Arabia , 2012 .

[29]  Ashraf Darwish,et al.  Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring , 2011, Sensors.

[30]  E. D. Ilsar,et al.  Remote monitoring of health status of the elderly at home. A multidisciplinary project on aging at the University of New South Wales. , 1995, International journal of bio-medical computing.

[31]  Flávio Oquendo,et al.  A Quality Model for AAL Software Systems , 2016, 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS).

[32]  Feng Xia,et al.  iCare: A Mobile Health Monitoring System for the Elderly , 2010, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing.

[33]  Alex Mihailidis,et al.  Ambient Assisted Living Technologies for Aging Well: A Scoping Review , 2016, J. Intell. Syst..

[34]  Wen-Yen Lin,et al.  Development of a Wearable Instrumented Vest for Posture Monitoring and System Usability Verification Based on the Technology Acceptance Model , 2016, Sensors.

[35]  Marjorie Skubic,et al.  Automated Health Alerts Using In-Home Sensor Data for Embedded Health Assessment , 2015, IEEE Journal of Translational Engineering in Health and Medicine.

[36]  Rusnadewi Abdul Rashid,et al.  Rule based reasoning and case based reasoning techniques for juvenile delinquency legal reasoning model , 2015 .

[37]  Ramón Hervás,et al.  Ambient Assisted Living and Home Care , 2012, Lecture Notes in Computer Science.

[38]  Gonçalo Marques,et al.  An Indoor Monitoring System for Ambient Assisted Living Based on Internet of Things Architecture , 2016, International journal of environmental research and public health.