This short course will cover aspects on biomedical signals processing starting by signal interpretation guided by the underlying physiological phenomena so to prevent distortions when performing signal preconditioning stages. Later the fundamental of detection and estimation theory and its use in model-based signal processing will be introduced. A model-based approach to the design of algorithms has been found to be useful in several applications, and it forms the basis for many practical methods. Special focus will be given to maximum likelihood estimation. The estimator will be illustrated with examples biomedical applications, including the problems of aligning similar-shaped transient waveforms prior to ensemble averaging, detecting T-wave alternans in the surface ECG, Estimating heart rate turbulence, or detecting step-like changes embedded in high noise environments. All can be solved by pursuing a maximum likelihood approach with different assumptions regarding the contaminating noise and its corresponding probability density function, thereby leading to a robust estimator structure.

Course leader
Lecturer: Prof. Pablo Laguna (Zaragoza University and CIBER-BBN, Spain)Coordinators: Prof. Timo Jms (University of Oulu), Dr. Riikka Ahola (University of Oulu), and prof. Jari Hyttinen (Tampere University of Technology), and Dr. Olli Tarvainen (Univer

Target group
Basic knowledge on signal processing and biosignals in general. The Summer School annually offers courses for advanced master's students, graduate students, and post-docs in the various fields of science and information technology.

Course aim
The most important aims of the Summer School are to develop post-graduates scientific readiness and to offer students the possibility to study in a modern, scientific environment and to create connections to the international science community.

Credits info
2 ECTS Passing: To pass the course needs obligatory attendance at the lectures, and a home exam.Grading: Pass/fail

Fee info
EUR 0: Participating the Summer School is free of charge, but student have to cover the costs of own travel, accommodation and meals at Jyvskyl.

Scholarships
The 25th Jyvskyl Summer School is not able to grant any Summer School students financial support. In order to ensure your participation, we recommend that you take steps to secure your own funding, for example, by turning first to your home institution

University of Jyv%C3%A4skyl%C3%A4
Address: Faculty of Mathematics and Science and Faculty of Information Technology, Jyv%C3%A4skyl%C3%A4 Summer School, Faculty of Mathematics and Science P.O.Box 35 (YK312), FIN-40014 University of Jyv%C3%A4skyl%C3%A4, Finland
Postal code: FIN-40014
City: Jyv%C3%A4skyl%C3%A4
Country: Finland
Website: http://www.jyu.fi/summerschool
E-mail: jss@jyu.fi
Phone: +358505818351