The IFMBE OpenData is a repository of medical research data acquired both in controlled as well as in non-controlled trials that is made freely available to the research community. This data has been used in past scientific challenges promoted inside IFMBE sponsored conferences.

Call for partners: Do you want to sponsor a Scientific Challenge with your research data? Contact us: email to [email protected] / [email protected]

Open Scientific Challenges

Challenge @ NBC 2025 & PCBBE 2025

Welcome to the IFMBE Scientific Challenge Competition of the Joint 20th Nordic-Baltic Conference on Biomedical Engineering and
24th Polish Conference on Biocybernetics and Biomedical Engineering (NBC 2025 & PCBBE 2025). taking place from June 16-18, 2025 in the vibrant and historic city of Warsaw, Poland.

Segmentation of Wounds and Markers in Focus
The participants of the current Scientific Challenge are asked to show a model for image segmentation able to distinguish wounds and linear scale markers from the background.

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Past Scientific Challenges

Challenge @ ICBHI 2024

Call for participation in the IFMBE Scientific Challenge at EMBEC2024 organized by the Digital Health Division. In this edition of the IFMBE Scientific Challenge, the goal is to identify emotions encoded in brain images and physiological data.

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Challenge @ EMBEC 2024

Division. In this edition of the IFMBE Scientific Challenge, the goal is to predict responses of genetically modified HEK (human embryonic kidney cells) to pulsed electric fields. The motivation includes finding new relationships between the shape and size of the cells and their influence on the response of intracellular Ca2+ concentrations as a response to stimulation with pulsed electric fields.

Open Databases for Research

Respiratory sound database

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Systolic time intervals database

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BCIAUT-P300: P300-based Brain Computer Interface database

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Adherence in Active and Healthy Ageing database

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Falls database

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Ballistocardiogram database

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Electroporation database

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Mind-Reading Emotions

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Support documents

Α Respiratory Sound Database for the Development of Automated Classification.
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BCIAUT-P300: A multi-session and multi-subject benchmark dataset on autism for P300-based brain-computer-interfaces
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 Conference Proceedings

1st IFMBE Latin American Conference on Digital Health

Proceedings of CLASD 2024, October 3-5, 2024, Panama City, Panama

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Featured Resources

The Respiratory Sound Database contains audio samples, collected independently by two research teams in two different countries, over several years. Most of the database consists of audio samples recorded by the School of Health Sciences, University of Aveiro (ESSUA) research team at the Respiratory Research and Rehabilitation Laboratory (Lab3R), ESSUA and at Hospital Infante D. Pedro, Aveiro, Portugal. The second research team, from the Aristotle University of Thessaloniki (AUTH) and the University of Coimbra (UC), acquired respiratory sounds at the Papanikolaou General Hospital, Thessaloniki and at the General Hospital of Imathia (Health Unit of Naousa), Greece.
The database consists of a total of 5.5 hours of recordings containing 6898 respiratory cycles, of which 1864 contain crackles, 886 contain wheezes, and 506 contain both crackles and wheezes, in 920 annotated audio samples from 126 subjects.
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This database has supported several hundreds of research teams and is currently a benchmark in respiratory sound research.