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