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A web-based platform for biosignal visualization and annotation

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Abstract

With the advent of wearable sensing and mobile technologies, biosignals have seen an increasingly growing number of application areas, leading to the collection of large volumes of data. One of the difficulties in dealing with these data sets, and in the development of automated machine learning systems which use them as input, is the lack of reliable ground truth information. In this paper we present a new web-based platform for visualization, retrieval and annotation of biosignals by non-technical users, aimed at improving the process of ground truth collection for biomedical applications. Moreover, a novel extendable and scalable data representation model and persistency framework is presented. The results of the experimental evaluation with possible users has further confirmed the potential of the presented framework.

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Acknowledgements

This work was partially funded by Fundação para a Ciência e Tecnologia (FCT) under the grants PTDC/EIA-CCO/103230/2008, SFRH/BD/65248/2009 and SFRH/PROTEC/49512/2009, by the Instituto de Telecomunicações under the grant “Android Biometric System” and by Área Departamental de Engenharia de Electrónica e Telecomunicações e de Computadores - ISEL, whose support the authors gratefully acknowledge.

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Authors and Affiliations

  1. Instituto Superior de Engenharia de Lisboa (ISEL), Lisboa, Portugal

    André Lourenço

  2. Instituto de Telecomunicações (IT), Lisboa, Portugal

    André Lourenço, Hugo Plácido da Silva, Carlos Carreiras, Ana Priscila Alves & Ana L. N. Fred

  3. Instituto Superior Técnico (IST), Lisboa, Portugal

    Hugo Plácido da Silva & Ana L. N. Fred

Authors
  1. André Lourenço
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  2. Hugo Plácido da Silva
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  3. Carlos Carreiras
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  4. Ana Priscila Alves
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  5. Ana L. N. Fred
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Corresponding author

Correspondence to André Lourenço.

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Lourenço, A., da Silva, H.P., Carreiras, C. et al. A web-based platform for biosignal visualization and annotation. Multimed Tools Appl 70, 433–460 (2014). https://doi.org/10.1007/s11042-013-1397-9

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