Internet of Things and Healthcare 4.0 Based on a Real-time model Study in the Smart Retirement Village

Due to the increase of life expectancy in recent years, the elderly population is expected to increase significantly. In addition, due to the recent outbreak of infectious diseases and the consequent occupation of hospitals, as well as the increasing cost of treatment on the one hand, and the need for medical staff on the other, the issue of caring for the elderly in need of health care has become a main challenge. Health issues have accordingly been raised as one of the main problems that directly affect the quality of life and development of countries. For improving the life quality of elderly people, an integrated smart retirement village (SRV) or a smart home system (ISHS) can be helpful in the monitoring and caring of the elderly. The SV with its health 4.0 generation has provided the monitoring of the elderly population without limiting their movements and daily life. The present paper first introduces studies on elderly people being monitored in the smart village system through the Internet. Finally an architecture is proposed for a higher degree of comfort and the sending of real-time sensor data.

[1]  S. J. Jassbi,et al.  IoT based thermal aware routing protocols in wireless body area networks: Survey: IoT based thermal aware routing in WBAN , 2022, IET Commun..

[2]  Mehdi Golsorkhtabaramiri,et al.  Multi-objective fault-tolerant optimization algorithm for deployment of IoT applications on fog computing infrastructure , 2021, Complex & Intelligent Systems.

[3]  A. Ibrahim.  Quality of Service‐aware clustered triad layer architecture for critical data transmission in multi‐body area network environment , 2021, Engineering Reports.

[4]  Mehdi Golsorkhtabaramiri,et al.  An autonomic risk‐ and penalty‐aware resource allocation with probabilistic resource scaling mechanism for multilayer cloud resource provisioning , 2020, Int. J. Commun. Syst..

[5]  B. Reeder,et al.  Older women’s perceptions of wearable and smart home activity sensors , 2020, Informatics for health & social care.

[6]  Tae Kyung Kim,et al.  Older adults' willingness to share their personal and health information when adopting healthcare technology and services , 2019, Int. J. Medical Informatics.

[7]  Sube Banerjee,et al.  Acceptability and feasibility of wearing activity monitors in community‐dwelling older adults with dementia , 2019, International journal of geriatric psychiatry.

[8]  Osman N. Uçan,et al.  Designing insistence-aware medium access control protocol and energy conscious routing in quality-of-service-guaranteed wireless body area network , 2019, Int. J. Distributed Sens. Networks.

[9]  Manuel Esteve,et al.  Fall detection system for elderly people using IoT and ensemble machine learning algorithm , 2019, Personal and Ubiquitous Computing.

[10]  Janya Chanchaichujit,et al.  An Introduction to Healthcare 4.0 , 2019, Healthcare 4.0.

[11]  A. M. Yassin,et al.  Potential Development of Retirement Village in Malaysia , 2018, International Journal of Property Sciences.

[12]  Jean Meunier,et al.  Elderly fall detection system based on multiple shape features and motion analysis , 2018, 2018 International Conference on Intelligent Systems and Computer Vision (ISCV).

[13]  Jesús Francisco Vargas-Bonilla,et al.  Real-Life/Real-Time Elderly Fall Detection with a Triaxial Accelerometer , 2018, Sensors.

[14]  Suree Funilkul,et al.  Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective , 2018, IEEE Access.

[15]  Weidong Min,et al.  Detection of Human Falls on Furniture Using Scene Analysis Based on Deep Learning and Activity Characteristics , 2018, IEEE Access.

[16]  Zhibo Pang,et al.  Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges , 2017, Sensors.

[17]  Carlos F. Pfeiffer,et al.  A Review of Smart House Analysis Methods for Assisting Older People Living Alone , 2017, J. Sens. Actuator Networks.

[18]  Ahmad Diab,et al.  Elder Tracking and Fall Detection System Using Smart Tiles , 2017, IEEE Sensors Journal.

[19]  Martin Skitmore,et al.  Retirement villages in Australia: a literature review , 2017 .

[20]  Laura Vadillo Moreno,et al.  The Role of Smart Homes in Intelligent Homecare and Healthcare Environments , 2017 .

[21]  Ning Zhang,et al.  Identifying user requirements of wearable healthcare technologies for Chinese ageing population , 2016, 2016 IEEE International Smart Cities Conference (ISC2).

[22]  Giuseppe Andreoni,et al.  Wearable monitoring of elderly in an ecologic setting: the SMARTA project , 2015, ECSA 2015.

[23]  Bo Xia,et al.  Review of community facilities in Australian retirement villages: A content analysis , 2015, Australasian journal on ageing.

[24]  G. Marrocco,et al.  Epidermal RFID passive sensor for body temperature measurements , 2014, 2014 IEEE RFID Technology and Applications Conference (RFID-TA).

[25]  Anupam Nanda,et al.  Household attributes and the future demand for retirement housing , 2013 .

[26]  Lorraine Whitmarsh,et al.  The development of smart homes market in the UK , 2013 .

[27]  Ravi Narasimhan,et al.  Wireless patch sensor for remote monitoring of heart rate, respiration, activity, and falls , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[28]  Kay Römer,et al.  Accurate Temperature Measurements for Medical Research Using Body Sensor Networks , 2011, 2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops.

[29]  M. Skubic,et al.  Needing smart home technologies: the perspectives of older adults in continuing care retirement communities. , 2008, Informatics in primary care.