Name
Title | ||
|---|---|---|
Combination Of Multi-Agent Systems And Embedded Hardware For The Monitoring And Analysis Of Diuresis |
Abstract | ||
|---|---|---|
The early detection and monitoring of kidney disease continues being an important problem in medicine. The diagnosis and treatment of patients with this disease usually require expensive medical equipment that is difficult to install. Patients or medical centers may not always be able to afford such equipment. This work proposes the creation of a wireless sensor network for medical environments; it will assist medical professionals in the diagnosis and monitoring of patients with renal symptomatology. This work will focus on the analysis of symptoms that accompany this disease and the design of a system which will help determine types of kidney diseases. The proposed system will incorporate new hardware mechanisms and an intelligent system. It will be designed through a multi-agent architecture based on virtual organizations. This architecture will include a new model of agents, specifically designed to be incorporated into computationally limited devices. This hardware will be characterized by its low cost and ease of use. A case study has been carried out in order to validate the proposed architecture. In order to validate the proposed architecture, we designed a case study that aims to provide a technological tool for medical professionals and makes it possible to determine any diseases related to diuresis. The initial results are promising. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1177/1550147717722154 | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS |
Keywords | Field | DocType |
Diuresis embedded hardware, ambient intelligence, heterogeneous distributed sensor networks, virtual organizations of agents | Early detection,Embedded hardware,Computer science,Ambient intelligence,Risk analysis (engineering),Multi-agent system,Medical equipment,Wireless sensor network,Distributed computing | Journal |
Volume | Issue | ISSN |
13 | 7 | 1550-1477 |
Citations | PageRank | References |
1 | 0.35 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriel Villarrubia | 1 | 183 | 24.85 |
| Daniel Hernández | 2 | 9 | 4.03 |
| Juan Francisco de Paz | 3 | 395 | 52.24 |
| Javier Bajo | 4 | 1451 | 118.96 |