New visualization model for large scale biosignals analysis

Catarina Cavaco, Ricardo Gomes, Hugo Gamboa, Ricardo Matias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The development of new resources in the medical field, such as wearable sensors, allowed the improvement of biosignals monitoring. Acquired data is then an important source of information to clinicians and researchers. Thus, extracting useful information from data is a task of the greatest importance that involves a variety of concepts and methods, from which stands out data visualization. However, these methods present several limitations mainly when dealing with big data. In this paper we present an innovative web-based application for biosignals visualization and exploration in a fast and user friendly way overcoming the detected limitations. Three case studies are presented and a usability study supports the reliability of the implemented work.

Original languageEnglish
Title of host publicationBIOSIGNALS 2015 - 8th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015
PublisherSciTePress
Pages190-197
Number of pages8
ISBN (Electronic)978-989758069-7
Publication statusPublished - 2015
Event8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015 - Lisbon, Portugal
Duration: 12 Jan 201515 Jan 2015

Conference

Conference8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015
CountryPortugal
CityLisbon
Period12/01/1515/01/15

Keywords

  • Big Data
  • Biosignals Annotation
  • Biosignals Visualization
  • Long-term Biosignals
  • Medical Monitoring

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  • Cite this

    Cavaco, C., Gomes, R., Gamboa, H., & Matias, R. (2015). New visualization model for large scale biosignals analysis. In BIOSIGNALS 2015 - 8th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015 (pp. 190-197). SciTePress.