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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
BIdentifying activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2018/2019
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (471) Biomedical Engineering
Track BTE - Tecnologie elettroniche - Technologies for electronics
Programme Year 2

Course Details
ID Code 052382
Course Title BIOMEDICAL SIGNAL PROCESSING LABORATORY
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester First Semester
Course Description The aim of the course is to provide students with tools and knowledge for the design of biomedical signal processing algorithms, their correct implementation and the analysis of the obtained results. The topics are: Introduction to software tools for scientific computing and their use for the design of biosignal processing algorithms. Data Analysis. Data fitting, criteria for model selection and identification, LMS estimation. Interpolation. Signal analysis. FFT and harmonic analysis of biosignals. Design of FIR and IIR filters for biomedical applications, detection of waves and patterns. Spectral estimate: parametric and non-parametric methods, application to EEG and Heart Rate Variability signals. Enhancement of evoked potentials: averaging and single sweep approach. Advanced topics of biosignal processing will be exploited through specific project assignment. Project topics range from multi-variate parametric estimate, optimal filters, time-frequency transform, to non-linear analysis, synchronization and coupling. Biomedical signal and data to be analysed: Electrocardiogram (ECG) blood pressure, respiration, Elettroencephalogram (EEG) and evoked potentials, otoacustic emission, voice signals, DNA sequences. The exam is organized in two phases: 1) A project dealing with the design and the implementation of a biosignal processing algorithm published in literature is assigned to students. Students are asked to implement the algorithm, test it and apply it to a biosignal dataset. Students must also write a report describing the algorithm, the design choices and the obtained results. 2) After having delivered the report, Students are admitted to the oral part of the exam in which the acquired knowledge (and how those are used to realize the project) will be tested. To integrate the practical lab activities and to stimulate active learning, structured thinking and knowledge skills as well as group discussion and presentation ability, the students, organized in groups, will be asked to present a specific topic and discuss it with other students in flipped/blended classroom modality. It should be noted that this is a limited number access course. The mandatory procedure for access request is here http://www.ccsbio.polimi.it/?page_id=27 )".
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
B
ING-INF/06
ELECTRONIC AND INFORMATICS BIOENGINEERING
5.0
Innovative teaching The course includes  1.0  credits in Innovative Teaching as follows:
  • Blended Learning & Flipped Classroom

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZMainardi Luca
manifesti v. 3.1.9 / 3.1.9
Area Servizi ICT
06/12/2019