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Tutorial Sessions

We cordially invite our prospective participants for tutorial sessions held during the Signal Processing Symposium 2017.

The tutorial sessions are co-organized by SPSympo-2017 Organizing Committee and IEEE Polish Chapter of Signal Processing Society

Tutorial title: “Signal analysis in biomedical applications”

Topic list (preliminary):

  • Biosignals in medical IoT ecosystem
  • Mathematics behind biosignal analysis
  • Applications of biosignal analysis
  • Analysis of brain electrical activity, Epileptic seizure detection, prediction and control
  • Fuzzy logic for Alzheimer Disease diagnostics
  • Respiration data analysis
  • Heart rate variability analysis
  • Muscle synergies analysis

Estimated duration: ~ 1h – 2h


A constant interest growth is observed in the area of exploring the data from human body. Wide range of tools is available for registering biosignal in various modalities, thus analyzing such data using various mathematical techniques is of great importance. In the tutorial, the general overview of the biomedical systems and signal types will be presented, with emphasize on the origin and characteristics of each particular signal and the concepts of biosignal treatment in the medical IoT framework. The overview of mathematical tools used for biosignal analysis will be presented. Four classes of methods, i.e. linear, nonlinear, uni- and multivariate techniques will be discussed with examples. Applications of biosignal analysis will be presented. Among the topics, analysis of brain electrical activity, epileptic seizure prediction using machine learning, development of fuzzy inference system for early diagnostics of Alzheimer’s Disease, and contactless registration of human respiration from video in visible range will be described in details.

Dr. Anton Popov (MSc 2003, PhD 2007) is the Associate Professor of Physical and Biomedical Electronics Department, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (Kyiv, Ukraine). He is the chair of Biomedical Electronics and Signal Analysis Group, and has over fifteen years experience in applications of mathematical methods to biosignal analysis. Research interests include analysis of brain and heart activity.