Biomedical engineering: cardiac signals, imaging & devices University of Bordeaux
Course Overview
Leaning objectives refer to 3 axes:
- SIGNALS LEARNING OBJECTIVES:
Acquire knowledges regarding the biomedical electrical signal genesis.
How to record electrical signal, and manage temporal signals.
- IMAGE LEARNING OBJECTIVES:
Acquire theoretical and practical knowledge in physics of image
formation (acquisition and reconstruction) for several modalities
(MRI,Ultrasound, XRay, optical mapping,…).
- DATA SCIENCE LEARNING OBJECTIVES:
Acquire theoretical and practical knowledge on how to process
multidimensional data
Learning Achievement
Competence
Course prerequisites
- This program is taught entirely in English, proficiency in English
is therefore required.
- Introductory Python course
- Personal computer & internet access
Grading Philosophy
- Practical work will be evaluated,
- Oral presentation (20 minutes)
Course schedule
SIGNAL
-
Understand the genesis of the biomedical electrical signal
-
Understand the processes of signal acquisition
-
Learn and manipulate one-dimensional time signal processing
techniques, including electrocardiograms and endocavitary
electrograms(filtering, spectral analysis, Digitization…)
-
Understand EP-lab equipment
_Practical work:_
-
ECG measurement and analysis
-
Learn and manipulate one-dimensional time signal processing
techniques, including electrocardiograms and endocavitary electrograms
-
EP-Lab equipments review
IMAGE
-
Understand the physical bases of image formation in each imaging
modality
-
Understand methods for image reconstruction
-
Know advantages/limitations for each imaging modality for cardiac
imaging
_Practical work:_
-
Experimental sessions in preclinical facilities
DATA SCIENCES:
-
Theoretical multidimensional data
-
Feature selection
-
Classification
-
Introduction to machine learning technics
_Practical work:_
-
Feature selection and Classification of heart diseases
Course type
Standard classroom, practical work - Clear statement of teaching and learning modes: in-class, face-to-face, distance-based or blended-learning, etc. (include number of contact hours) - Mode of delivery corresponds with proposed learning objectives, content, learning methods and assessment procedures - SIGNALS: 15h lectures, 10h group work - DATA SCIENCES: 10h lectures, 5h group work - IMAGE: 15 h lectures, 10h group work - 50 hours self-study (30 private reading, 20 exam preparation)
Online Course Requirement
Instructor
Other information
_Please note that the number of places available may be limited for
certain classes._
Duration: Total of 75h
Language of instruction: English
Mode of delivery: In-class, face-to-face, distance-based or blended-learning
Site for Inquiry
Please inquire about the courses at the address below.
Contact person: Remi Dubois
remi.dubois@ihu-liryc.fr
Bruno Quesson (course coordinator)
bruno.quesson@u-bordeaux.fr
Laure DANGLES (faculty secretary)
laure.dangles@ihu-liryc.fr