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 @ 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.
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.
Open Databases for Research
Respiratory sound database
Systolic time intervals database
BCIAUT-P300: P300-based Brain Computer Interface database
Adherence in Active and Healthy Ageing database
Falls database
Ballistocardiogram database
Electroporation database
Support documents
Α Respiratory Sound Database for the Development of Automated Classification.
BCIAUT-P300: A multi-session and multi-subject benchmark dataset on autism for P300-based brain-computer-interfaces
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.
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.
This database has supported several hundreds of research teams and is currently a benchmark in respiratory sound research.
