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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
ABasic 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 2020/2021
School School of Industrial and Information Engineering
Name (Bachelor of Science degree)(ord. 270) - MI (363) Biomedical Engineering
Track BND - Non Diversificato
Programme Year 2

Course Details
ID Code 055648
Course Title BASICS OF STATISTICS AND BIOMEDICAL SIGNALS [I.C.]
Course Type Integrated Course
Credits (CFU / ECTS) 10.0
Semester Second Semester
Course Description The aim of this course is to provide the background and the basic methodologies for biomedical data and signal processing. Examples and applications will provide descriptions according to their principal characteristics, their generation models and the basis of processing procedures. BIOMEDICAL STATISTICS - Aim: acquainting the student with basic knowledge about Statistics, necessary for biomedical engineering applications. Subjects of the course: data analysis (exploratory methods; data summaries; histograms and boxplots); probability (Bayes' Theorem; random variables; moments; correlation and independence; more common probability distributions; Law of Large Numbers and Central Limit Theorem); statistical inference (parameter estimation; confidence intervals; hypothesis testing); evaluation of classifiers (sensitivity, specificity, ROC graphs); linear regression models. Use of a statistical SW package for data analysis. BIOMEDICAL SIGNALS - Introduction to biomedical signals. Biomedical signals in time domain. Periodicity, stationarity. Ergodic processes. Signal to noise ratio SNR. Acquisition, sampling, A/D conversion. Autocorrelation and cross-correlation functions. Frequency analysis: Fourier series and transform, discrete Fourier transform, Fast Fourier transfrom. z-transform. Digital filters FIR and IIR: design methods and applications. Wavelet detection and classification. SNR improvement: averaging. Spectral analysis: energy and power spectra. Periodogram. Time/frequency resolution. Parametric models. AR, ARX. Parametric spectral estimation. Optimal least variance filtering: Wiener and Widrow filters. Introduction to biomedical images.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
B
ING-INF/06
ELECTRONIC AND INFORMATICS BIOENGINEERING
5.0
A
MAT/06
PROBABILITY AND STATISTICS
3.0
--
SECS-S/01
STATISTICS
2.0

Schedule, add and removeAlphabetical groupSectionCodeModule DescriptionLecturer(s)CFUSem.LanguageTeaching Assignment Details
From (included)To (excluded)
---AEA055646BASICS OF STATISTICS AND BIOMEDICAL SIGNALS [1]Zanella Margherita5.02
055647BASICS OF STATISTICS AND BIOMEDICAL SIGNALS [2]Ferrario Manuela5.02
---EPC055646BASICS OF STATISTICS AND BIOMEDICAL SIGNALS [1]Sangalli Laura Maria5.02
055647BASICS OF STATISTICS AND BIOMEDICAL SIGNALS [2]Corino Valentina5.02
---PZZZZB055646BASICS OF STATISTICS AND BIOMEDICAL SIGNALS [1]Verri Maurizio5.02
055647BASICS OF STATISTICS AND BIOMEDICAL SIGNALS [2]Bianchi Anna Maria Maddalena5.02
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
18/04/2025