ABSTRACT
A Body Sensor Network (BSN) application requires many software and hardware adaptations to support correctly data exchanges between different sensor node architectures. However, these customizations demand extra time, cost and components. This paper introduces a simple development process in order to customize off-the-shelf BSN sensor nodes according to Transducer Bus Interface Modules (TBIM) standard. IEEE 1451.3 offers technical solutions for interfacing multiple and physically separated transducer allowing self-identification, self-configuration, plug and play and hot swapping capabilities. These are important requirements relating to most BSN applications.
Subject(s)
Computer Communication Networks/instrumentation , Computer Communication Networks/standards , Monitoring, Ambulatory/instrumentation , Monitoring, Ambulatory/standards , Transducers , Computer-Aided Design , Equipment Design/standards , Equipment Failure Analysis , Internationality , Reference StandardsABSTRACT
The medical tracking of patients carried out from a distance by means of wireless technology, incorporating various sensors simultaneously connected to the body of an individual, can promote health in suitable time. This article proposes a simulator for the monitoring of human health. This prototype simulates the workings of a BSN (Body Sensor Network) functioning as a sensor (electrophysiological signal) that is to be monitored, which utilizes a strategy based on the concept of data fusion. This tool incorporates a policy of economizing energy which has as its main objective increasing the operating time of the system.
Subject(s)
Monitoring, Ambulatory/instrumentation , Signal Processing, Computer-Assisted , Computer Simulation , Humans , Monitoring, Ambulatory/methodsABSTRACT
A Body Sensor Network (BSN) must be designed to work autonomously. On the other hand, BSNs need mechanisms that allow changes in their behavior in order to become a clinically useful tool. The purpose of this paper is to present a new programming model that will be useful for programming BSN sensor nodes. This model is based on an intelligent intermediate-level compiler. The main purpose of the proposed compiler is to increase the efficiency in system use, and to increase the lifetime of the application, considering its requirements, hardware possibilities and specialist knowledge. With this model, it is possible to maintain the autonomous operation capability of the BSN and still offer tools that allow users with little grasp on programming techniques to program these systems.
Subject(s)
Computer Communication Networks/instrumentation , Diagnosis, Computer-Assisted/methods , Models, Theoretical , Monitoring, Ambulatory/instrumentation , Monitoring, Ambulatory/methods , Programming Languages , Software , Algorithms , Diagnosis, Computer-Assisted/instrumentation , Humans , Information Storage and Retrieval/methods , Software DesignABSTRACT
This work presents a new approach for classification and retrieval of echocardiographic images from textual information of the anatomical structures and diagnosis features. These textual attributes will be acquired from the electronic medical report generated in an integrated healthcare environment. The medical report is provided by a specialist in the area during the analysis of the medical image stored in a PACS environment. Such innovation guarantees a more accurate classifier and a better optimization of the medical work, since the medical report and the attributes for the medical image classifier will be created at the same time. The system is being developed in the University Hospital of the University of Brasilia.
