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.