Objectives
Objectives information not yet available.
Channels
NESSUNA CANALIZZAZIONE
JLENIA TOPPI Teacher profile
Adopted texts
Semmlow and Griffel, “Biosignal and Medical Image Processing”, CRC Press, 2014
Smith, “The scientist and Engineer’s Guide to Digital Signal Processing”, Second Edition, California Technical Publishing, San Diego, California, 1999
Prabhu, “Window functions and their application in Signal Processing”, CRC Press, 2014
Mecarelli, “Clinical Electroencephalograpy”, Springer, California, 2019
Kamen and Gabriel, “Essentials of Electromiography”, Human Kinetics, 2010
Rangayyan, “Biomedical Signal Analysis”, Second Edition, Wiley IEEE Press, 2015
Attaway, “MATLAB: A Practical Introduction to Programming and Problem Solving”, 5th Edition, Butterworth-Heinemann, 2019
Prerequisites
The main prerequisites to understand the topics addresses in the class are: 1. Basis principles of signals theory 2. Statistics and probability 3. Estimation theory 4. Mathematical analysis
- Academic year: 2021/2022
- Curriculum: Ingegneria Clinica (percorso formativo valido anche ai fini del conseguimento del doppio titolo italo-venezuelano)
- Year: Third year
- Semester: Second semester
- Parent course:
1035677 - DETERMINISTIC AND STOCHASTIC SIGNALS AND DATA PROCESSING AND BIOMEDICAL SIGNALS I - SSD: ING-INF/06
- CFU: 6
- Attività formative caratterizzanti
- Ambito disciplinare: Ingegneria biomedica
- Lecture (Hours): 60
- CFU: 6.00
- SSD: ING-INF/06