scholarly journals A Multi-Agent System for Data Fusion Techniques Applied to the Internet of Things Enabling Physical Rehabilitation Monitoring

2020 ◽  
Vol 11 (1) ◽  
pp. 331
Author(s):  
Héctor Sánchez San Blas ◽  
André Sales Mendes ◽  
Francisco García Encinas ◽  
Luís Augusto Silva ◽  
Gabriel Villarubia González
Keyword(s):  
Internet Of Things ◽  
Recovery Process ◽  
Feedback System ◽  
Easy Access ◽  
The Internet ◽  
Multi Agent System ◽  
Agent System ◽  
Healthcare Facilities ◽  
Multi Agent ◽  
The Internet Of Things

There are more than 800 million people in the world with chronic diseases. Many of these people do not have easy access to healthcare facilities for recovery. Telerehabilitation seeks to provide a solution to this problem. According to the researchers, the topic has been treated as medical aid, making an exchange between technological issues such as the Internet of Things and virtual reality. The main objective of this work is to design a distributed platform to monitor the patient’s movements and status during rehabilitation exercises. Later, this information can be processed and analyzed remotely by the doctor assigned to the patient. In this way, the doctor can follow the patient’s progress, enhancing the improvement and recovery process. To achieve this, a case study has been made using a PANGEA-based multi-agent system that coordinates different parts of the architecture using ubiquitous computing techniques. In addition, the system uses real-time feedback from the patient. This feedback system makes the patients aware of their errors so that they can improve their performance in later executions. An evaluation was carried out with real patients, achieving promising results.

Modernization of Healthcare and Medical Diagnosis System Using Multi Agent System (MAS)

2013 ◽  
pp. 592-622
Author(s):  
Shibakali Gupta ◽  
Sripati Mukherjee ◽  
Sesa Singha Roy
Keyword(s):  
Healthcare System ◽  
Appropriate Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Healthcare Facilities ◽  
Loosely Coupled ◽  
System A ◽  
Multi Agent ◽  
Main Components ◽  
Medical Diagnosis System

The healthcare system that prevailed some years ago was a mere pen and paper based system. A number of workers, staff, and written records were the main components of the prevailing system of healthcare. This had a number of drawbacks, and a number of mishaps occurred due to mismanagement of data and information. There was a need for development. Then, the concept of telemedicine came, which revolutionized the healthcare paradigm to a great extent. With the advancement of telemedicine, many major problems of the prevailing system were removed. But, still there were many other aspects which could be further improved to make healthcare facilities more enhanced. Keeping this in mind, the concept of Multi Agent System (MAS) was introduced in the healthcare system later. MASes are considered as the best and most appropriate technology that can be used in the development of applications in healthcare paradigm where the presence of multiple agents, heterogeneous and loosely coupled components, the data management in a dynamic and distributed environment, and multi-user collaborations are considered the most pertinent requirements for healthcare system. This chapter focuses mainly about MAS, its applications, and some systems that were developed by the authors.

Modernization of Healthcare and Medical Diagnosis System Using Multi Agent System (MAS)

2015 ◽  
pp. 1426-1455
Author(s):  
Shibakali Gupta ◽  
Sripati Mukherjee ◽  
Sesa Singha Roy
Keyword(s):  
Healthcare System ◽  
Appropriate Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Healthcare Facilities ◽  
Loosely Coupled ◽  
System A ◽  
Multi Agent ◽  
Main Components ◽  
Medical Diagnosis System

The healthcare system that prevailed some years ago was a mere pen and paper based system. A number of workers, staff, and written records were the main components of the prevailing system of healthcare. This had a number of drawbacks, and a number of mishaps occurred due to mismanagement of data and information. There was a need for development. Then, the concept of telemedicine came, which revolutionized the healthcare paradigm to a great extent. With the advancement of telemedicine, many major problems of the prevailing system were removed. But, still there were many other aspects which could be further improved to make healthcare facilities more enhanced. Keeping this in mind, the concept of Multi Agent System (MAS) was introduced in the healthcare system later. MASes are considered as the best and most appropriate technology that can be used in the development of applications in healthcare paradigm where the presence of multiple agents, heterogeneous and loosely coupled components, the data management in a dynamic and distributed environment, and multi-user collaborations are considered the most pertinent requirements for healthcare system. This chapter focuses mainly about MAS, its applications, and some systems that were developed by the authors.

An Architecture to Implement the Internet-of-Things using the Prometheus Methodology

2020 ◽  
pp. 609-629
Author(s):  
Bogdan Manațe ◽  
Florin Fortiş ◽  
Philip Moore
Keyword(s):  
Internet Of Things ◽  
Rapid Expansion ◽  
The Internet ◽  
Data Types ◽  
Diverse Range ◽  
Complex Agent ◽  
Multi Agent ◽  
Complex Scenario ◽  
The Internet Of Things ◽  
Prometheus Methodology

The rapid expansion of the Internet of Things (IoT) will generate a diverse range of data types that needs to be handled, processed and stored. This paper aims to create a multi-agent system that suits the needs introduced by the IoT expansion, thus being able to oversee the Big Data collection and processing and also to maintain the semantic links between the data sources and data consumers. In order to build a complex agent oriented architecture, we have assessed the existing agent oriented methodologies searching for the best solution that is not bound to a specific programming language of framework, and it is flexible enough to be applied in such a divers domain like IoT. As complex scenario, the proposed approach has been applied to medical diagnosis and motoring of mental disorders.

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