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 language | English |
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| Title of host publication | 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 |
| Publisher | SciTePress |
| Pages | 190-197 |
| Number of pages | 8 |
| ISBN (Electronic) | 978-989758069-7 |
| Publication status | Published - 2015 |
| Event | 8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015 - Lisbon, Portugal Duration: 12 Jan 2015 → 15 Jan 2015 |
Conference
| Conference | 8th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2015 |
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| Country | Portugal |
| City | Lisbon |
| Period | 12/01/15 → 15/01/15 |
Keywords
- Big Data
- Biosignals Annotation
- Biosignals Visualization
- Long-term Biosignals
- Medical Monitoring