Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP)

S Rajasekaran,G Kousalya

doi:10.32604/csse.2022.022234

Abstract

The demand for better health services has resulted in the advancement of remote monitoring health, i.e., virtual nursing systems, to watch and support the elderly with innovative concepts such as being patient-centric, easier to use, and having smarter interactions and more accurate conclusions. While virtual nursing services attempt to provide consumers and medical practitioners with continuous medical and health monitoring services, access to allied healthcare experts such as nurses remains a challenge. In this research, we present Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP), a new framework that provides a virtual nurse agent deployed on a senior citizen’s home, workplace, or care centre to help manage their health condition on a continuous basis. Using this method, healthcare providers can assign various jobs to nurses by utilizing a general task definition mechanism, in which a task is defined as a combination of medical workflow, operational guidelines, and data gathered from a remotely monitored virtual nursing system. Practitioners are in charge of DBN-EP and make treatment decisions for patients. This allows a DBN-EP to act as a personalized full-time nurse for a client by carrying out practitioner support activities based on information gathered about the client’s health. An electronic Personal Health Record (ePHR) system, such as a specialized web portal and mobile apps, could provide such patient information to elderly person family members and care centres. We created a prototype system using a DBN-EP system that allows traditional client applications and healthcare provider systems to collaborate. Finally, we demonstrate how this system may benefit the elderly through a result and debate.

Highlights

We present Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP), a new framework that provides a virtual nurse agent deployed on a senior citizen’s home, workplace, or care centre to help manage their health condition on a continuous basis
Since we explore the perspective of using Restricted Boltzmann Machines (RBM) to initialise an MLP, the framework would demonstrate this by distinguishing as much as possible between the RBMs used to setup the system and the MLP used during grouping
A deep belief network is created by stacking numerous RBMs on top of each other

Summary

Introduction

The universal care method has become more complex, with increased operationalization and treatment quality [1]. It is critical to analyse the methodologies of the aged care literature field in a new area of study and development in order to describe existing strategies for future research routes. This planned investigation would include a detailed survey of wearable sensors for various senior care programmes. Using these techniques the various scales of Elderly person movements and video motions are captured from various camera’s are analysed and the features are extracted [17].

Related Works

Research Methodology

Experimental Results and Discussion

Conclusion