A Novel and Customizable Framework for IoT Based Smart Home Nursing for Elderly Care

2Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Boobalan, J., & Malleswaran, M. (2020). A Novel and Customizable Framework for IoT Based Smart Home Nursing for Elderly Care. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 35, pp. 27–38). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-32150-5_3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free