Storage of Biomedical Signals: Comparative Review of Formats and Databases

João Rodrigues, Hugo Gamboa, Vladimir Kublanov, Anton Dolganov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Current trends in healthcare digitalization make the task of collecting and storing the data of biomedical signals of the subjects relevant. In this article will be described: (i) the existing standard formats of biomedical data files and their comparison in terms of several technical features; (ii) the public databases where biomedical data is accessible, the type of data stored in these databases, how the data is structured. The comparative analysis revealed that the HDF5 file format has the best properties, including compression, speed and ease of access, and the availability of metadata. The most common datasets available online are related to electrocardiography and electroencephalography studies. The comparative review showed that there is a significant reserve that can be used by novice researchers to evaluate the processing algorithms of biomedical signals.

Original languageEnglish
Title of host publicationSIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages652-656
Number of pages5
ISBN (Electronic)9781728144016
DOIs
Publication statusPublished - Oct 2019
Event2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 - Novosibirsk, Russian Federation
Duration: 21 Oct 201927 Oct 2019

Conference

Conference2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
Country/TerritoryRussian Federation
CityNovosibirsk
Period21/10/1927/10/19

Keywords

  • biomedical signals
  • databases
  • formats
  • review
  • storage

Fingerprint

Dive into the research topics of 'Storage of Biomedical Signals: Comparative Review of Formats and Databases'. Together they form a unique fingerprint.

Cite this