Checking date: 02/02/2024

Course: 2024/2025

Introduction to Biosignals and Bioimaging
Master in Machine Learning for Health (Plan: 480 - Estudio: 359)

Coordinating teacher: IZQUIERDO GARCÍA, DAVID

Department assigned to the subject: Bioengineering Department

Type: Additional training
ECTS Credits: 3.0 ECTS


Requirements (Subjects that are assumed to be known)
- Signals and systems - Differential equations - Image processing
The 'Introduction to BioSignals and BioImages' course initiates the students into a basic understanding of how to detect, obtain, record and analyze the different BioSignal and BioImages that can be later on used in pre-clinical and clinical applications. We will learn about the physical and physiological origin of the different signals and images. During this course we will explore different modalities, such as ECG, EEG, MRI, CT or PET among others. We will study the physical devices, tools and methods that enable the acquisition and recording of their signals and images.
Skills and learning outcomes
Description of contents: programme
Origin of biomedical signals. Recording of Biomedical Signals Physical principles of biomedical imaging. Medical imaging modalities ECG EEG X-Rays CT PET SPECT MRI Microscopy Optical Imaging
Learning activities and methodology
AF3 Theoretical practical classes AF4 Laboratory practices AF5 Tutoring AF6 Team work AF7 Student individual work AF8 Partial and final exams Activity code total hours number presencial hours number % Student Presence AF3 33 33 100% AF4 24 24 100% AF5 16 0 0% AF6 35 0 0% AF7 70 0 0% AF8 4 4 100% TOTAL SUBJECT 182 61 33,5%
Assessment System
  • % end-of-term-examination 30
  • % of continuous assessment (assigments, laboratory, practicals...) 70

Basic Bibliography
  • Sörnmo, Laguna. Biolectrical Signal Processing in Cardiac and Neurological Applications. Elsevier. 2005
  • van Drongelen. Signal Processing for Neuroscientists. Academic Press. 2018
Additional Bibliography
  • Hendee, Ritenour. Medical Imaging Physics. Wiley. 2002

The course syllabus may change due academic events or other reasons.