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Smart Care: Body Area Sensor Network Conceptual Architecture for Elderly and NonCritical Patient Ca


Affiliations
1 Department of Computer Science and Engineering, Universal Engineering and Science College, Lalitpur, Nepal
 

People with disabilities, the elderly, those who are sick, and children all need assistance. Staying with them 24 hours a day, seven days a week is impractical, and it also has an effect on the care receiver's psyche, making them feel overly reliant. Various architectures have been proposed, but none of them discuss generalization, feasibility questions, which are important for any care seeker, and also lacks focus on elderly people and non-critical patients care. As a result, an accessible, efficient architecture that allows our loved ones, especially the elderly and non-critical patients, to live healthier lives is required. It is important for health practitioners to be able to monitor the body status of those receiving care in real-time and to provide them with timely input on their health. As a result, the proposed generalizable architecture recognizes all stakeholders, as well as vital signs in thehuman body. Consolidates all of them into an IoT-based smart care infrastructure comprising a non-invasive hybrid body area sensor networks supported by cloud computing platforms, machine learning, and data analytics models, with the aim of assisting in the provision of high-quality, low-cost care to the elderly and non-critical patients. Finally, the design was validated through a survey and professional consultation with 45 experts, who agreed with the proposed architecture 82.2 percent of the time.

Keywords

Smart Care Architecture, Elderly andNon-Critical Patients Care, IoT Smart care, HybridBody-Area Sensor Network.
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  • A. Sharkey and N. Sharkey, "Children, the Elderly, and InteractiveRobots", IEEE Robotics & Automation Magazine, vol. 18, no. 1, pp.32-38, 2011. Available: 10.1109/mra.2010.940151.

  • S. Goonewardene, K. Baloch, K. Porter, I. Sargeant and G.Punchihewa, "Road Traffic Collisions—Case Fatality Rate, CrashInjury Rate, and Number of Motor Vehicles: Time Trends Between aDeveloped and Developing Country", The American Surgeon, vol. 76,no. 9, pp. 977-981(5), 2010.

  • B. Celler et al., "Remote monitoring of health status of the elderly at home. A multidisciplinary project on aging at the University of New South Wales", International Journal of Bio-Medical Computing, vol.40, no. 2, pp. 147-155, 1995. Available:10.1016/0020-7101(95)01139-6.

  • A. Merrilees, "'83 years old, unable to speak, unable to fight back.'Daughters share heartbreaking stories of abuse in nursing homes", ABC News,2019.[Online].Available:https://abcnews.go.com/Politics/83-years-unable-speak-unable-fight-backdaughters/story?id=61504444.[Accessed: 1- May2020].

  • V. Rodrick, "Nurse abused care home residents", BBC News,2018.[Online].Available:https://www.bbc.com/n ews/uk-scotland-edinburgh-east-fife-46201827. [Accessed: 1- May- 2020].

  • A. Jung, "Patient alleges abuse by a nurse at Metro Vancouverhospital", British Columbia,2019. [Online]. Available:https://bc.ctvnews.ca/patient-alleges-abuseby-a-nurse-at-metro-vancouver-hospital1.4748658.[Accessed: 1- May- 2020].

  • P. Gope and T. Hwang, "BSN-Care: A Secure IoTBased Modern Healthcare System Using Body Sensor Network", IEEE Sensors Journal, vol. 16, no. 5, pp. 1368-1376, 2016. Available:10.1109/jsen.2015.2502401.

  • L. Catarinucci et al., "An IoT-Aware Architecture for Smart HealthcareSystems", IEEE Internet of Things Journal, vol. 2, no. 6, pp. 515-526, 2015. Available: 10.1109/jiot.2015.2417684.

  • S. Chang, R. Chiang, S. Wu and W. Chang, "A Context-Aware, Interactive M-Health System for Diabetics", IT Professional, vol. 18,no. 3, pp. 14-22, 2016. Available: 10.1109/mitp.2016.48.

  • C. Pasluosta, H. Gassner, J. Winkler, J. Klucken and B. Eskofier, "An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things", IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 6, pp. 1873-1881, 2015. Available:10.1109/jbhi.2015.2461555.

  • Y. Fan, Y. Yin, L. Xu, Y. Zeng and F. Wu, "IoTBased Smart Rehabilitation System", IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1568-1577, 2014. Available:10.1109/tii.2014.2302583.

  • S. Baker, W. Xiang and I. Atkinson, "Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities", IEEE Access, vol. 5, pp. 26521-26544, 2017. Available:10.1109/access.2017.2775180.

  • J. Leikas, J. Salo and R. Poramo, "Security alarm system supportsindependent living of demented persons", Gerontechnology: ASustainable Investment in the Future, vol. 48, p. 402, 1998.

  • M. Chen, S. Gonzalez, A. Vasilakos, H. Cao and V. Leung, "Body Area Networks: A Survey", Mobile Networks and Applications, vol. 16, no.2, pp. 171193, 2010. Available: 10.1007/s11036-010-0260-8.

  • A. Redondi, M. Chirico, L. Borsani, M. Cesana and M. Tagliasacchi,"An integrated system based on wireless sensor networks for patientmonitoring, localization and tracking", Ad Hoc Networks, vol. 11, no.1, pp. 39-53, 2013. Available: 10.1016/j.adhoc.2012.04.006.

  • N. Menachemi and Collum, "Benefits and drawbacks of electronichealth record systems", Risk Management and Healthcare Policy, p.47, 2011. Available: 10.2147/rmhp.s12985.

  • A. Jha et al., "Use of Electronic Health Records in U.S. Hospitals",New England Journal of Medicine, vol. 360, no. 16, pp. 1628-1638,2009. Available: 10.1056/nejmsa0900592.

  • S. Tumpa, A. Islam and M. Ankon, "Smart care: An intelligent assistant for pregnant mothers", 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), 2017. Available:10.1109/icaee.2017.8255455.

  • A. Six smith and J. Six smith, "Smart care technologies: Meeting whose needs?", Journal of Telemedicine and Telecare, vol. 6, no. 1, pp.190-192, 2000. Available: 10.1258/1357633001934636.

  • H. Demirkan, "A Smart Healthcare Systems Framework", IT Professional, vol. 15, no. 5, pp. 3845, 2013. Available:10.1109/mitp.2013.35.

  • Pilotsmartcare.eu,2015.[Online].Available:http://pilotsmartcare.eu/fileadmin/smartcare/documents/whitepaper_smartcare_no1.pdf.[Accessed: 2May- 2020].

  • S. Tokunaga, K. Tamamizu, S. Saiki, M. Nakamura and K. Yasuda,"VirtualCareGiver", International Journal of Software Innovation, vol.5, no. 1, pp. 3043, 2017. Available: 10.4018/ijsi.2017010103.

  • S. Tokunaga et al., "Implementation and Evaluation of Interactive Memory-Aid Agent Service for People with Dementia", Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management, pp. 357-368, 2016. Available:10.1007/978-3-319-40247-5_36.

  • S. Tokunaga et al., "Towards personalized and context-aware reminder service for people with dementia", 2016 International Joint Conferenceon Neural Networks (IJCNN), 2016. Available:10.1109/ijcnn.2016.7727572.

  • S. Patel, H. Park, P. Bonato, L. Chan and M. Rodgers, "A review ofwearable sensors and systems with application in rehabilitation",Journal of Neuro Engineering and Rehabilitation, vol. 9, no. 1, p. 21,2012. Available: 10.1186/1743-0003-9-21.

  • S. Riazul Islam, Daehan Kwak, M. Humaun Kabir, M. Hossain and Kyung-Sup Kwak, "The Internet of Things for Health Care: A Comprehensive Survey", IEEE Access, vol. 3, pp. 678-708, 2015.Available: 10.1109/access.2015.2437951.

  • C. da Costa, C. Pasluosta, B. Eskofier, D. da Silva and R. da RosaRighi, "Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards", Artificial Intelligence in Medicine, vol.89, pp. 61-69, 2018. Available: 10.1016/j.artmed.2018.05.005.

  • R. Gardner, T. Clemmer, R. Evans and R. Mark, "Patient MonitoringSystems", Biomedical Informatics, pp. 561-591, 2013. Available:10.1007/978-1-4471-4474-8_19.

  • R. Weinstein, "RFID: a technical overview and its application to the enterprise", IT Professional, vol. 7, no. 3, pp. 27-33, 2005. Available:10.1109/mitp.2005.69.

  • M. Elliott and A. Coventry, "Critical care: the eight vital signs of patient monitoring", British Journal of Nursing, vol. 21, no. 10, pp.621-625, 2012. Available: 10.12968/bjon.2012.21.10.621.

  • N. Cooper, K. Forrest and P. Cramp, "Essential Guide to Acute Care",2006. Available: 10.1002/9780470757901.

  • D. Simel, "Approach to the patient: history and physical examination",Goldman's Cecil Medicine, pp. 22-27, 2012.

  • C. Otto, M. Aleksandar, S. Corey, and E. Jovanov, “System Architecture of a Wireless Body Area Sensor Network for Ubiquitous Health Monitoring,” J. Mob. Multimedia., vol. 1,no. 4, pp. 307–326,2006, Available:http://www.ece.uah.edu/~milenka/docs/coa mej_jmm06.pdf

  • S. Munir, B. Ren, W. Jiao, B. Wang, D. Xie and J. Ma, "Mobile Wireless Sensor Network: Architecture and Enabling Technologies for Ubiquitous Computing", 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07),2007. Available: 10.1109/ainaw.2007.257

  • B. P.L. Lo, S. Thiemjarus, R. King and G. Yang, "Body Sensor Network - A wireless sensor platform for pervasive healthcare monitoring", Csis.pace.edu, 2005. [Online]. Available:http://csis.pace.edu/~marchese/CS396x/L3/p 077-080.pdf


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  • Smart Care: Body Area Sensor Network Conceptual Architecture for Elderly and NonCritical Patient Ca

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Authors

Dipendra Pant
Department of Computer Science and Engineering, Universal Engineering and Science College, Lalitpur, Nepal
Santosh Bhattarai
Department of Computer Science and Engineering, Universal Engineering and Science College, Lalitpur, Nepal
Sanjaya Poudel
Department of Computer Science and Engineering, Universal Engineering and Science College, Lalitpur, Nepal

Abstract


People with disabilities, the elderly, those who are sick, and children all need assistance. Staying with them 24 hours a day, seven days a week is impractical, and it also has an effect on the care receiver's psyche, making them feel overly reliant. Various architectures have been proposed, but none of them discuss generalization, feasibility questions, which are important for any care seeker, and also lacks focus on elderly people and non-critical patients care. As a result, an accessible, efficient architecture that allows our loved ones, especially the elderly and non-critical patients, to live healthier lives is required. It is important for health practitioners to be able to monitor the body status of those receiving care in real-time and to provide them with timely input on their health. As a result, the proposed generalizable architecture recognizes all stakeholders, as well as vital signs in thehuman body. Consolidates all of them into an IoT-based smart care infrastructure comprising a non-invasive hybrid body area sensor networks supported by cloud computing platforms, machine learning, and data analytics models, with the aim of assisting in the provision of high-quality, low-cost care to the elderly and non-critical patients. Finally, the design was validated through a survey and professional consultation with 45 experts, who agreed with the proposed architecture 82.2 percent of the time.

Keywords


Smart Care Architecture, Elderly andNon-Critical Patients Care, IoT Smart care, HybridBody-Area Sensor Network.

References