engleski

Challenges in Designing Software Architectures for Web Based Biomedical Signal Analysis

In contemporary explorations of biomedical data, there is a strong inclination towards software platforms that offer ubiquitous access and ease of use. Traditional biomedical signal analysis, such as detection of disorders in electrocardiogram recordings is considered as difficult task. There are many approaches to tackle such tasks, but the common assumption is that such an analysis should be performed both offline (after data collection) and particularly off the web, using MATLAB (or Octave) programs or other specialized software. There has been little effort involved in complete web solutions for biomedical signal analysis, which, compared to traditional analysis, have many advantages: access from afar, browser-only software requirements, reliance on fast server solutions for calculations, etc. This chapter considers web systems for biomedical signal analysis and describes their software architecture design aspects. It examines its applications: home care, medical education, signal repositories with visualization capabilities, signal analysis environments with data mining. The focus is on challenges involving these systems, like: data privacy, frontend workflow, frontend and backend interactions, database design, integration of data analysis and reporting libraries, programming language issues, etc. We emphasize that little work was published regarding architectural considerations in this setting and highlight the importance of overcoming these issues.

computer architecture ; web platform ; biomedical signal analysis ; remote healtcare systems ; decision support systems

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