loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Catarina Cavaco 1 ; Ricardo Gomes 1 ; Hugo Gamboa 2 and Ricardo Matias 3

Affiliations: 1 Faculdade de Ciências e Tecnologias - Universidade Nova de Lisboa, Portugal ; 2 Faculdade de Ciências e Tecnologias - Universidade Nova de Lisboa and PLUX Wireless Biosignals, Portugal ; 3 Escola Superior de Saúde - Instituto Politécnico de Setúbal and Faculdade de Motricidade Humana - Universidade de Lisboa, Portugal

Keyword(s): Long-term Biosignals, Big Data, Biosignals Visualization, Biosignals Annotation, Medical Monitoring.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Cybernetics and User Interface Technologies ; Devices ; Human-Computer Interaction ; Information and Systems Security ; Medical Image Detection, Acquisition, Analysis and Processing ; Monitoring and Telemetry ; Physiological Computing Systems

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.97.9.169

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Cavaco, C. ; Gomes, R. ; Gamboa, H. and Matias, R. (2015). New Visualization Model for Large Scale Biosignals Analysis. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - BIOSIGNALS; ISBN 978-989-758-069-7; ISSN 2184-4305, SciTePress, pages 190-197. DOI: 10.5220/0005207201900197

@conference{biosignals15,
author={Catarina Cavaco and Ricardo Gomes and Hugo Gamboa and Ricardo Matias},
title={New Visualization Model for Large Scale Biosignals Analysis},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - BIOSIGNALS},
year={2015},
pages={190-197},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005207201900197},
isbn={978-989-758-069-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - BIOSIGNALS
TI - New Visualization Model for Large Scale Biosignals Analysis
SN - 978-989-758-069-7
IS - 2184-4305
AU - Cavaco, C.
AU - Gomes, R.
AU - Gamboa, H.
AU - Matias, R.
PY - 2015
SP - 190
EP - 197
DO - 10.5220/0005207201900197
PB - SciTePress