Agent Based Health Monitoring of Elderly People in Indoor Environments Using Wireless Sensor Networks

Vaidehi, V.; Vardhini, M.; Yogeshwaran, H.; Inbasagar, G.; Bhargavi, R.; Hemalatha, C. Sweetlin

doi:10.1016/j.procs.2013.06.014

Cited by 36 publications

(15 citation statements)

References 8 publications

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“…The second domain is environment management. Some studies focused on managing the data collection process of elderly people within hospitals [130,131]. Another study focused on helping physicians to improve management and reveal the issue of overcrowding [132].…”

Section: Server Based (Tier 3)mentioning

confidence: 99%

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

et al. 2019

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Remotely monitoring a patient's condition is a serious issue and must be addressed. Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies, methods and installations that enable doctors or other medical professionals to work remotely to consult, diagnose and treat patients. The goal of RHMS is to provide timely medical services at remote areas through telecommunication technologies. Through major advancements in technology, particularly in wireless networking, cloud computing and data storage, RHMS is becoming a feasible aspect of modern medicine. RHMS for the prioritisation of patients with multiple chronic diseases (MCDs) plays an important role in sustainably providing high-quality healthcare services. Further investigations are required to highlight the limitations of the prioritisation of patients with MCDs over a telemedicine environment. This study introduces a comprehensive and inclusive review on the prioritisation of patients with MCDs in telemedicine applications. Furthermore, it presents the challenges and open issues regarding patient prioritisation in telemedicine. The findings of this study are as follows: (1) The limitations and problems of existing patients' prioritisation with MCDs are presented and emphasised. (2) Based on the analysis of the academic literature, an accurate solution for remote prioritisation in a large scale of patients with MCDs was not presented. (3) There is an essential need to produce a new multiple-criteria decisionmaking theory to address the current problems in the prioritisation of patients with MCDs.

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Section: Server Based (Tier 3)mentioning

confidence: 99%

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

et al. 2019

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“…Regarding the combined use of MAS and BANs for the development of healthcare monitoring applications, Vaidehi et al [ 21 ] proposed a health care monitoring system based on WSN which is capable of collecting, retrieving, storing, and analyzing vital signs of the patient. The proposed MAS consists of four agents (i.e., admin, control, query, and data agents) which performs data reduction using Epsilon approximation.…”

Section: Related Workmentioning

confidence: 99%

A Distributed Multiagent System Architecture for Body Area Networks Applied to Healthcare Monitoring

Felisberto

Laza

Fdez-Riverola

et al. 2015

BioMed Research International

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In the last years the area of health monitoring has grown significantly, attracting the attention of both academia and commercial sectors. At the same time, the availability of new biomedical sensors and suitable network protocols has led to the appearance of a new generation of wireless sensor networks, the so-called wireless body area networks. Nowadays, these networks are routinely used for continuous monitoring of vital parameters, movement, and the surrounding environment of people, but the large volume of data generated in different locations represents a major obstacle for the appropriate design, development, and deployment of more elaborated intelligent systems. In this context, we present an open and distributed architecture based on a multiagent system for recognizing human movements, identifying human postures, and detecting harmful activities. The proposed system evolved from a single node for fall detection to a multisensor hardware solution capable of identifying unhampered falls and analyzing the users' movement. The experiments carried out contemplate two different scenarios and demonstrate the accuracy of our proposal as a real distributed movement monitoring and accident detection system. Moreover, we also characterize its performance, enabling future analyses and comparisons with similar approaches.

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“…The use of multi-agents systems are widely used in multiple science fields because provide modelling abstraction and intelligence [4] [5].…”

Section: Multi-agent System For Monitoringmentioning

confidence: 99%

Low-cost monitoring system for solar farm using agent technology

Moranchel

Fernández

Sanz

et al. 2014

2014 International Conference on Renewable Energy Research and Application (ICRERA)

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Currently one of the main sources of renewable energy is solar energy, which is presented as an alternative energy for sustainable development in protecting the planet. Solar farms are large areas of land where large amount of solar panels are connected together. Adding intelligence to control systems in solar farms allows monitoring and managing tasks, therefore is possible to detect malfunctions in the equipment and solves it. This paper presents a multi-agent monitoring system for a solar farm, that allows controlling the main indicators of solar panels such as power, current, voltage and position, with the aim of early fault detection in the panels and bring out actions for better performance.

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Agent Based Health Monitoring of Elderly People in Indoor Environments Using Wireless Sensor Networks

Cited by 36 publications

References 8 publications

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

A Distributed Multiagent System Architecture for Body Area Networks Applied to Healthcare Monitoring

Low-cost monitoring system for solar farm using agent technology

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