Abstract
Massive growth in the Internet of Things (IoT) Technology tends it possible to recognize and analyze the health conditions of the patients in a ubiquitous manner for every time instances. The IoT technology enables the seamless platform to connect people and things to one another for elevating and making our lives easier. The integration of IoT into healthcare applications leads researchers to develop an intelligent healthcare system. Inspired by these aspects, a novel architecture is proposed in this paper for an integrated system to monitor the isolated older patients and surveillance of the smart home. This approach grants a venue for adjustable experimentations which is capable of responding to quick changes in the environment. This concentrate on the security mechanism of the E-healthcare and the environment to detect the hazardous situations. The results of the proposed approach, absorbing the specific levels of the patient, suggests what sort of medications prescribed by the physician should be followed and the behavior of the smart home with Wireless Sensor Networks (WSN) with necessary actuations. Based on the datasets of UCI Repository and the real health logs obtained from various hospitals, the testing has been performed. The main outcome of this research is the localizing the network information is less than a minute and mobility absorption is 90%. The experimental results of the proposed work prove that it outperforms the existing systems for Smart Home healthcare services.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
World Report on Ageing and Health, World Health Organization (2015)
Redondi, A., Chirico, M., Borsani, L., Cesana, M., Tagliasacchi, M.: An integrated system based on wireless sensor networks for patient monitoring, localization and tracking. Ad Hoc Netw. 11(1), 39–53 (2013)
Tanwar, S., Tyagi, S., Kumar, S.: The role of the internet of things and smart grid for the development of a smart city. In: International Conference on Internet of Things for Technological Development (IoT4TD), pp. 1–10 (2017)
Noh, M.L., Kim, J.S.: Factors influencing the user acceptance of digital home services. Telecommun. Policy. 34(11), 672–682 (2010)
Anwar, S., Kishore, D.: IOT based smart home security system with alert and door access control using smart phone. Int. J. Eng. Res. Technol. (IJERT) 5(12), 1–5 (2016)
Kodali, R.K., Jain, V., Bose, S., Boppana, L.: IoT based smart security and home automation system. In: International Conference on Computing, Communication and Automation (ICCCA), pp. 126–132 (2016)
Abbas, A., Ali, M., Shahid Khan, M., Khan, S.: Personalized healthcare cloud services for disease risk assessment and wellness management using social media. Pervasive Mobile Comput. 28, 81–99 (2016)
Rault, T., Bouabdallah, A., Challal, Y., Marin, F.: A survey of energy-efficient context recognition systems using wearable sensors for healthcare applications. Pervasive Mobile Comput. 37, 23–44 (2017)
Dzindolet, M., Peterson, S., Pomranky, R., Pierce, L., Beck, H.: The role of trust in automation reliance. Int. J. Hum Comput Stud. 58(6), 697–718 (2003)
Lippert, S., Davis, M.: A conceptual model integrating trust into planned change activities to enhance technology adoption behavior. J. Inf. Sci. 32(5), 434–448 (2006)
Jimison, H., Gorman, P., Woods, S., Nygren, P., Walker, M., Norris, S., Hersh, W.: Barriers and drivers of health information technology use for the elderly, chronically III, and underserved Rockville. Agency for Healthcare Research and Quality, Maryland (Evidence Report/Technology Assessment No. 175175) (2008)
Adegboye, M., Zakaria, S., Ahmed, B., Olufemi, G.: Knowledge, awareness and practice of infection control by healthcare workers in the intensive care units of a tertiary hospital in Nigeria. Afr. Health Sci. 18(1), 72 (2018)
Tanwar, S., Patel, P., Patel, K., Tyagi, S., Kumar, N., Obaidat, M.S.: An advanced internet of thing based security alert system for smart home. In: 2017 International Conference on Computer, Information and Telecommunication Systems (CITS) (2017)
Woo, M.W., Lee, J., Park, K.: A reliable IoT system for personal healthcare devices. Future Gener. Comput. Syst. 78, 626–640 (2018)
Pardeshi, V., Sagar, S., Murmurwar, S., Hage, P.: Health monitoring systems using IoT and Raspberry Pi—a review. In: 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
“All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards”.
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Boobalan, J., Malleswaran, M. (2020). A Novel and Customizable Framework for IoT Based Smart Home Nursing for Elderly Care. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-32150-5_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32149-9
Online ISBN: 978-3-030-32150-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)