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Topics in Biosignal Processing

Code 14510
Year 1
Semester S1
ECTS Credits 6
Workload OT(15H)
Scientific area Informatics
Entry requirements Students must have ground knowledge on biosignal processing algorithms, computer programming and software engineering.
Learning outcomes Main objectives consist of the study, development and application of collection methodologies, storage and application of algorithms on biosignals with the purpose of using this knowledge in Enhanced Living Environments.

At the end of this Curricular Unit, the student should be able to understand, develop and apply algorithms and fundamental mechanisms in the area of Enhanced Living Environments.
Syllabus Definition and concepts on biosignal; protocols for biosignal collection; ethical issues; informed consent; algorithms to collect and process biosignal; transmission of biosignal; security and reliability of the transmission of biosignal; advanced algorithms for biosignal processing; identification of daily life activities; biosignal activated interfaces.
Main Bibliography Advanced Biosignal Processing, Amine Nait-Ali, Springer, 2009;
Biomedical Signals and Sensors I: Linking Physiological Phenomena and Biosignals (Biological and Medical Physics, Biomedical Engineering), Eugenijus Kaniusas, Springer, 2012;
Enhanced Living Environments, Algorithms, Architectures, Platforms, and Systems, Ganchev, I, Garcia, N. M., Dobre, C., Mavromoustakis, C., Goleva R. (editors), Springer, ISBN 978-3-030-10752-9, January 2019.
Enhanced Living Environments: From Models to Technologies, Rossitza Ivanova Goleva, Ivan Ganchev, Ciprian Dobre, Nuno Garcia and Carlos Valderrama (editors.), The IET, ISBN 978-1-78561-211-4, September 2017.
Ambient Assisted Living and Enhanced Living Environments, Principles, Technologies and Control, Ciprian Dobre, Constandinos Mavromoustakis, Nuno Garcia, Rossitza Goleva, George Mastorakis (Editors), Elsevier, ISBN: 9780128051955, November 2016.
Teaching Methodologies and Assessment Criteria Theoretical lectures are based on the oral exposition of the subjects by the instructor. Practical lectures are used for clarification of doubts and to support the carrying out of the laboratorial project.

Teaching-Learning Process:
- Three Advanced Homeworks: 50%
- One Laboratorial Project: 50%

Exam:
- Written Exam with Open Book: 50%
- One Laboratorial Project: 50%
Language Portuguese. Tutorial support is available in English.
Last updated on: 2022-01-26

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