BIO-ELECTRICITY IN HUMAN BODY: SYSTEMS AND CONTROL

Academic Year 2023/2024 - Teacher: DARIO SANALITRO

Expected Learning Outcomes

The course aims to drive the students in the acquisition of the basic concepts of body bio-electricity processes, focusing the attention on the aspects related to the system theory and automatic controls field. In this context, it will be also presented different methods for bio-signals analysis acquisition and analysis.

Course Structure

The course includes lectures for the acquisition and knowledge required and the carrying out of activities aimed at their application. Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.

Required Prerequisites

BASIC KNOWLEDGE REGARDAdvanced level in physics and mathIntermediate level of Linear systems theory and controlIntermediate level of programming languagesNo preparatory requests for passing other courses are required

Attendance of Lessons

Attendance is not mandatory, although strongly recommended to carry out adequately the final project.

Detailed Course Content

Methods for the Analysis of Electroencephalographic SignalsData Preprocessing (Artifact Removal, Filtering in the Time Domain and Frequency Domain)Extraction of Fundamental FeaturesFeature Classification

Textbook Information

T1) Webster J.G., Medical Instrumentation: Application and Design, WileyT2)Semmlow, John L., and Benjamin Griffel. Biosignal and medical image processingT3)Nam, Chang S., Anton Nijholt, and Fabien Lotte, eds. Brain–computer interfaces handbook: technological and theoretical advances.

Course Planning

	Subjects	Text References
1	Bioeletrical models and signals (10h)	T1 (Part I-II)
2	Methodologies in biomedical signals analysis (10h)	T2 (chs. 1-6)
3	Methodologies in EEE signals analysis (17h)	T3 (Part I)

Learning Assessment

Learning Assessment Procedures

The exam consists of a course project and an oral exam. Learning assessment may also be carried out online, if the conditions require it.

The course project is individual and consists of a case study based on the analysis of biomedical data. The delivery of this project by the end of the course allows access to the oral examination. The final evaluation will be determined by averaging the evaluation of both those.

For attending students it will be possible to do a midterm test shortly after the end of the course. The test lasting a maximum of two hours consists of questions (multiple choice and/or open) ) to check the knowledge acquired on the contents covered during the course. If this test is passed, answering correctly to at least 50% of the questions, the oral exam is not compulsory but at the discretion of the student. The final evaluation will be determined by evaluating both questionnaires and the course project.

Evaluation at the oral interview will be based on: the knowledge of the contents, the relevance of the answers with respect to the questions formulated, the property of technical language, and the ability to make connections between the contents of the program.

Examples of frequently asked questions and / or exercises

The material is available through the Studium platform and the teacher's personal website (http://www.dees.unict.it/mbucolo/).

VERSIONE IN ITALIANO

Degree Course in

Automation Engineering and Control of Complex Systems