the second edition of its Clinical and Physiological Data. Analysis ... human motion and gait data analysis, for a total
CAPDA 2017 Clinical and Physiological Data Analysis Course Centre for Biomedical Cybernetics University of Malta 31st July – 11th August 2017
The Centre for Biomedical Cybernetics is pleased to announce the second edition of its Clinical and Physiological Data Analysis (CAPDA) course. The course consists of a number of theoretical and practical modules suitable both for individuals who are interested in the acquisition and analysis of clinical and physiological signals but who possess no prior technical knowledge; as well as individuals with a technical background who are interested in clinical and physiological data analysis. This year’s course includes two additional modules tackling human motion and gait data analysis, for a total of seven modules as listed below. • EEG Fundamentals • EEG Practical • Human Motion Fundamentals • Human Motion Practical • Signal Processing • MATLAB • EEGLAB These modules are intended to provide participants with the required theoretical and practical aspects of physiological data acquisition and analysis, with a focus on EEG signals in the EEG Fundamentals, EEG Practical and EEGLAB modules, and human motion and gait data in the Human Motion Fundamentals and Human Motion Practical modules. A broader approach, applicable for most forms of physiological data is adopted in the case of the Signal Processing and MATLAB modules.
Applicants may register for any number of modules on offer. The course is also a recognised DegreePlus activity. The course modules will be delivered by experts in the field of biomedical signal and image processing, namely, Prof. Kenneth Camilleri Director, Centre for Biomedical Cybernetics Head, Department of Systems and Control Engineering Dr Tracey Camilleri Lecturer, Department of Systems and Control Engineering Dr Owen Falzon Lecturer, Centre for Biomedical Cybernetics Ing. Carl Azzopardi Systems Engineer , Centre for Biomedical Cybernetics Mr Norbert Gauci Systems Engineer, Centre for Biomedical Cybernetics Module descriptions and details are available in the following pages and registration details are available on the last page of this document.
EEG Fundamentals Module
Module Description
Topics
Duration
This theoretical module will cover the fundamental aspects of EEG signal analysis starting with a basic introduction on brain anatomy, physiology and electrical activity, followed by details on the steps involved in a typical EEG signal acquisition and analysis procedure. This will include details on signal conditioning and feature extraction techniques as well as a discussion on the important temporal and spectral characteristics of EEG data. • Introduction on the brain and brain activity • Modalities to record brain activity • EEG electrode placement • Referencing methods • Spectral characteristics of EEG signals • Temporal characteristics of EEG signals • Artefacts and artefact removal 4 hours
EEG Practical Module
Module Description
This module consists of practical EEG recording sessions at the Biomedical Engineering Laboratory at the Faculty of Engineering. Participants will learn how to set up an EEG system and record data from participants through a practical hands-on demonstration. Through this module participants will become familiar with the different types of EEG setups that are nowadays available, as well as the practical considerations that have to be taken into account when recording EEG data.
Topics
• Hardware and software components of an EEG system • Electrode setup • Setting EEG system parameters • Recording EEG data • Checking quality of recorded signals • External triggers and markers • Artefacts in EEG data
Duration
4 hours
Human Motion Fundamentals Module
Module Description
This module is intended to provide an introduction to the principles of gait analysis and human movement. It is designed to familiarise participants with the fundamental terms, concepts and principles of human movement and its analysis, as well as the conditions that may potentially impair or limit human movement. The main techniques and equipment used to acquire, process and analyse gait data will also be covered.
Topics
• Basic terminology of human movement • Anatomy of the musculoskeletal system • Functionality of the musculoskeletal system • Mechanical analysis of human motion • Gait fundamentals • Normal and pathological Gait • Gait analysis systems
Duration
6 hours
Human Motion Practical Module
Module Description
Topics
Duration
This module is intended to provide participants with an introduction to motion analysis equipment commonly used to acquire and analyse human motion data. Participants will learn first hand how to calibrate a motion analysis system and how to prepare a subject for analysis through the construction of a biomechanical model. During this practical session data from simulated healthy and simulated pathological patients will be acquired, processed and prepared for visualisation and analysis. • • • • • •
Gait analysis system components System calibration Anthropometric data measurement Subject marking Biomechanical model construction Data acquisition of healthy gait and a simulated pathology • Data reconstruction, filtering and export • Data visualisation and analysis 4 hours
MATLAB Module
Signal Processing Module
Module Description
Topics
Duration
This module will introduce participants to fundamental signal processing aspects that are of relevance for the analysis of all types of physiological signals. The steps involved in the analogue-to-digital conversion of physiological signals will be discussed, together with the important technical aspects that have to be taken into account when analysing signals in the time and frequency domain. An overview of more advanced signal analysis techniques will also be provided.
• • • • • • •
Analogue to digital conversion Analogue signal filtering Digital signal filtering Temporal analysis Spectral analysis Interaction measures Classification methods
8 hours
Module Description
Topics
Duration
This practical module will provide participants with an introduction to MATLAB, a programming software application that is widely used for the analysis and processing of biomedical signals and images. This module consists of a series of laboratory sessions during which participants will become familiar with the MATLAB environment and will acquire basic MATLAB programming skills for signal processing and data visualisation purposes.
• Introduction to MATLAB • Working with vectors, matrices and multidimensional arrays • Scripts and functions • Importing and exporting data • Plotting and visualising data • Conditional statements • Basic physiological data analysis • Statistical tests using MATLAB 9 hours
EEGLAB Module
Module Description
Topics
This module is aimed to familiarise participants with the use of EEGLAB, an interactive software tool that is widely used for the analysis of EEG data. Participants will become acquainted with the underlying theoretical aspects of widely used functions available on EEGLAB, and will learn how to apply these functions to analyse and process actual EEG datasets. • • • • • •
• • • •
Duration
Introduction to EEGLAB Importing and plotting EEG data Pre-processing EEG data Event related potentials (ERPs) Plotting ERPs using EEGLAB Independent component analysis (ICA) Running ICA with EEGLAB Using ICA for artefact removal Introduction to source localisation Component localisation using EEGLAB
5 hours
Course Programme
09:30 – 11:30
Mon 31th July
Tue 1th Aug
EEG Fund. I (EB7)
EEG Fund. II (EB7)
MATLAB l (EBCL)
Human Motion Fund. I (EB7)
Wed 2nd Aug
Thu 3rd Aug
Fri 4th Aug
EEG Prac. I (BE Lab)
EEG Prac. II (BE Lab)
11:30 – 13:00 13:00 – 16:00
Mon 7th Aug 09:30 – 11:30
Tue Aug
8th
Sig. Proc. I (EB7)
Human Motion Prac. I (BE Lab)
MATLAB III (EBCL)
Sig. Proc. II (EB7)
Human Motion Fund. II (EB7)
MATLAB II (EBCL)
Wed Aug
Thu 10th Aug
9th
Human Motion Prac. II (BE Lab)
Fri Aug
11st
EEGLAB I (EBCL)
11:30 – 13:00 13:00 – 16:00
Sig. Proc. III (EB7)
EEGLAB II (EBCL)
Course Registration Choose the course modules or package that you are interested in and contact us on
[email protected] to register, specifying your selection. Spaces are limited and registration is on a first-come, first-served basis. The course is recognised as a DegreePlus extracurricular activity (a minimum of 16 hours have to be covered).
Module
Fee
EEG Fundamentals
€40
EEG Practical
€40
EEGLAB
€50
Human Motion Fundamentals
€60
Human Motion Practical
€40
Signal Processing
€80
MATLAB
€90
Package
Fee
EEG Package Includes EEG Fundamentals, EEG Practical, EEGLAB, Signal Processing, and MATLAB modules.
€270
Human Motion Package Includes Human Motion Fundamentals, Human Motion Practical, Signal Processing, and MATLAB modules.
Complete Package Includes all modules.
€240
€350
