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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
BIdentifying activities
ABasic 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 (Bachelor of Science degree)(ord. 270) - MI (363) Biomedical Engineering
Track BND - Non Diversificato
Programme Year 2

Course Details
ID Code 085856
Course Title BASICS OF STATISTICS AND BIOMEDICAL SIGNALS
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
A
MAT/06
PROBABILITY AND STATISTICS
5.0
B
ING-INF/06
ELECTRONIC AND INFORMATICS BIOENGINEERING
5.0

Schedule, add and removeAlphabetical groupCodeModule DescriptionProfessorCFUSem.LanguageCourse details
From (included)To (excluded)
--AE085854BASICS OF STATISTICS AND BIOMEDICAL SIGNALSEpifani Ilenia5.02
085855BASICS OF STATISTICS AND BIOMEDICAL SIGNALSFerrario Manuela5.02
--EP085854BASICS OF STATISTICS AND BIOMEDICAL SIGNALSGuglielmi Alessandra5.02
085855BASICS OF STATISTICS AND BIOMEDICAL SIGNALSCorino Valentina5.02
--PZZZZ085854BASICS OF STATISTICS AND BIOMEDICAL SIGNALSVerri Maurizio5.02
085855BASICS OF STATISTICS AND BIOMEDICAL SIGNALSBianchi Anna Maria5.02
manifesti v. 3.1.9 / 3.1.9
Area Servizi ICT
13/12/2019