Skip to main content

An Online Viewer of FHR Signal for Research, E-Learning and Tele-Medicine

  • Conference paper
  • First Online:
Bioinformatics and Biomedical Engineering (IWBBIO 2018)

Abstract

This paper presents a web viewer of Fetal Heart Rate (FHR) signals developed on HTML5/JavaScript. It provides an easy solution to remotely consult an FHR signal on a web browser without installing any specific software and it can be used either on a computer or on mobile device. There are three major applications of this tool. First, it is used to build up our FHR database used for research on signal processing and analysis. Secondly, it is used on our E-learning website e.RCF in order to train midwives and obstetricians to interpret FHR signals. At last, it could be used on telemedicine either on tele-monitoring to remotely check the fetal welfare, or on tele-expertise to enable practitioners to ask for specialists’ opinion. This viewer is designed to correspond to practitioners’ habits while including tools to ease the interpretation the FHR signal.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. MedDream. http://demo.softneta.com

  2. Haak, D., Page, C.-E., Reinartz, S., Krüger, T., Deserno, T.M.: DICOM for clinical research: PACS-integrated electronic data capture in multi-center trials. J. Digit. Imaging 28(5), 558–566 (2015)

    Article  Google Scholar 

  3. Shen, H., Ma, D., Zhao, Y., Sun, H., Sun, S., Ye, R., Huang, L., Lang, B., Sun, Y.: MIAPS: a web-based system for remotely accessing and presenting medical images. Comput. Methods Progr. Biomed. 113(1), 266–283 (2014)

    Article  Google Scholar 

  4. Neoventa Academy. http://www.neoventa.com/education/

  5. de l’Aulnoit, A.H., Boudet, S., Demailly, R., Peyrodie, L., Beuscart, R., de l’Aulnoit, D.H.: Baseline fetal heart rate analysis: eleven automatic methods versus expert consensus. In: 38th Annual International Conference of the IEEE - EMBC, pp. 3576–3581 (2016)

    Google Scholar 

  6. Demailly, R., Boudet, S., Houzé, A., Delgranche, A., Houzé, D.: Évaluation d’un programme d’apprentissage en ligne de l’analyse du rythme cardiaque fœtal. Vocat. Sage-femme 13(110), 26–30 (2014)

    Article  Google Scholar 

Download references

Acknowledgment

This project has been partially funded by the “Institut Thématique Santé Publique” and the “Institut Thématique Technologies pour la Santé” within the framework of the call for proposals on connected device.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Samuel Boudet .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Boudet, S. et al. (2018). An Online Viewer of FHR Signal for Research, E-Learning and Tele-Medicine. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2018. Lecture Notes in Computer Science(), vol 10814. Springer, Cham. https://doi.org/10.1007/978-3-319-78759-6_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-78759-6_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78758-9

  • Online ISBN: 978-3-319-78759-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics