Biomedical Image and Signal Processing and Interpretation

Session Chairs: Piotr Augustyniak, AGH University of Science and Technology, Krakow, Poland, Anton Popov, National Technical University of Ukraine “Igor Sykorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine
The session aims to attract original research papers focused on:
  • multimodal sensing in medicine, wearable intelligent sensors,
  • biosignal processing and interpretation,
  • medical imaging, image recognition, fusion etc.
  • medical information techniques,
  • telemedicine, sensor networks,
  • medical data archiving and transmission techniques,
  • safety issues for medical data.

Note: This session appears in the programme as two separate sessions:

  • ECG (Chairs: Piotr Augustyniak, Paulo Marques)
  • EEG (Chairs: Tomasz Pieciak, Anton Popov)

About the chairs
Piotr Augustyniak, AGH University of Science and Technology, Krakow, Poland.

Piotr Augustyniak is the head of the Department of Biocybernertics and Biomedical Engineering in AGH-UST. His scientific interests include hardware and software problems of biosignal processing, currently he is working on watermarking of electrocardiogram, eyetracking applications and data-dependent signal representation. He prototyped four acquisition and analysis systems for electrocardiography, electrooculography and electroencephalography. He published five books on electrodiagnostic signal processing, over 220 conference papers and was a reviewer and a program committee member of many international conferences.

Anton Popov, National Technical University of Ukraine “Igor Sykorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

Anton Popov is associate professor of Electronic Engineering Department of Igor Sykorsky Kyiv Polytechnic Institute, and also is AI/Deep Learning Technical Lead at Ciklum (UK). His research interests include applications of signal processing methods to the analysis and interpretation of biomedical signals and images. Currently his group is working on epileptic seizure prediction based on electroencephalograms and cardiorythmograms, techniques for quantification of cognitive workload and emotions, recognition of imaginary movements, stabilography, as well as deep learning applications to cancer and Alzheimer’s Disease diagnosis. He published 50 papers in peer-reviewed journals and more than 100 conference papers.