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A distributed multiagent system architecture for body area networks applied to healthcare monitoring.

Felisberto F, Laza R, Fdez-Riverola F, Pereira A - Biomed Res Int (2015)

Bottom Line: In the last years the area of health monitoring has grown significantly, attracting the attention of both academia and commercial sectors.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.Moreover, we also characterize its performance, enabling future analyses and comparisons with similar approaches.

View Article: PubMed Central - PubMed

Affiliation: Fundação Para a Ciência e a Tecnologia (FCT), Foundation for Science and Technology, 1249-074 Lisbon, Portugal ; Higher Technical School of Computer Engineering, University of Vigo, Polytechnic Building, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain.

ABSTRACT
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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Related in: MedlinePlus

Node placement in different body parts.
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fig4: Node placement in different body parts.

Mentions: Figure 4 shows the relation between node placement and agent groups, in which N1, N2, and N3 refer to the agents responsible for preprocessing, state evaluation, and anomaly detection, respectively, and M1 and M2 stand for the agents responsible for merging the information from the different nodes into full body states (M1) and validating the anomalies (M2).


A distributed multiagent system architecture for body area networks applied to healthcare monitoring.

Felisberto F, Laza R, Fdez-Riverola F, Pereira A - Biomed Res Int (2015)

Node placement in different body parts.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4385603&req=5

fig4: Node placement in different body parts.
Mentions: Figure 4 shows the relation between node placement and agent groups, in which N1, N2, and N3 refer to the agents responsible for preprocessing, state evaluation, and anomaly detection, respectively, and M1 and M2 stand for the agents responsible for merging the information from the different nodes into full body states (M1) and validating the anomalies (M2).

Bottom Line: In the last years the area of health monitoring has grown significantly, attracting the attention of both academia and commercial sectors.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.Moreover, we also characterize its performance, enabling future analyses and comparisons with similar approaches.

View Article: PubMed Central - PubMed

Affiliation: Fundação Para a Ciência e a Tecnologia (FCT), Foundation for Science and Technology, 1249-074 Lisbon, Portugal ; Higher Technical School of Computer Engineering, University of Vigo, Polytechnic Building, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain.

ABSTRACT
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.

Show MeSH
Related in: MedlinePlus