This paper investigates the feasibility of employing the Software Agent technology in the highly dynamic and variable context of healthcare emergency coordination and decision-support domain. We introduce the design of an agent-based middleware tailored to the requirements of such context and propose a framework, called UbiMedic, for the implementation and deployment of services, like monitorin...

Personal health monitoring tools, such as commercially available wireless ECG patches, can significantly reduce healthcare costs by allowing patient monitoring outside the healthcare organizations. These tools transmit the acquired medical data into the cloud, which could provide an invaluable diagnosis tool for healthcare professionals. Despite the potential of such systems to revolutionize th...

In this paper we present why tele-monitoring is a promising application domain for Ubiquitous Computing. We discuss how the characteristics of ubiquitous information systems can be applied in the design of tele-monitoring applications and what special conditions and problems have to be regarded. Finally, we present the results of the implementation of such an application realized in a joint res...

Cloud computing provides shared, on-demand and scalable services over internet with user’s data being processed in remote machines and required services provided. The main barrier in using this new technology in different field is the users fear on data security, availability and integrity of their own data in remote servers. In this paper, an efficient cloud storage system for storing medical ...

Ultrasound is one of the leading medical imaging modalities because it is safe, noninvasive, portable, easy to use, relatively inexpensive and displays images in real-time. Due to its real-time nature, an ultrasound machine must be able to process its incoming data quickly. High computational and throughput requirements in modern ultrasound machines have restricted their internal design to algo...

Segmentation of medical volume data sets (i.e., partitioning images into a set of disjoint regions representing different semantic objects) is an important research topic due to its large number of potential clinical applications. In order to get accepted by physicians and radiologists a generic, interactive 3D segmentation algorithm has to be simple-to-use, accurate, and show immediate feedbac...

With increasing data in medical databases, medical data retrieval is growing in popularity. Some of this analysis including inducing propositional rules from databases using many soft techniques, and then using these rules in an expert system. Diagnostic rules and information on features are extracted from clinical databases on diseases of congenital anomaly. This paper explain the latest soft ...

In this article we illustrate some novel procedures of using Sinc methods to compute solutions to three types of medical problems. The rst of these is a novel way to solve optimal control problems. the second is a novel way to reconstruct images for X-ray tomography, and the third is a novel way to do ultrasonic tomography inversion. Each of these procedures uses Sinc convolution, which is a no...

The present paper is focused on design and development of soft computing decision making model to solve real life complex problems related with medical sciences.

We present an interactive tool for visualization of medical imaging pipelines that are built with Nipype, a freely available tool for building pipelines programatically. Our tool enables researchers to interact with their pipelines, visualize the pipeline structure, and view their intermediate and final results. We also provide a video and live demonstration of our tool for a simple brain image...