Invitation to Short-Course ‘Advanced Statistical Biosignal Processing – fMRI, EEG and PCG Signals’

———————– Short-Course Announcement ———————–

 

Advanced Statistical Biomedical Signal Processing

Applications to fMRI, EEG and PCG Signals

 

Dewan Ilmuan 2, Aras 2, Menara Razak

Universiti Teknologi Malaysia, Kuala Lumpur Campus,

Jalan Semarak, Kuala Lumpur.

10th Dec 2015 (Thursday)

 

Speakers: Dr Abd-Krim Seghouane, Department of Electrical and Electronic Engineering, University of Melbourne

Prof. Ir. Dr. Sheikh Hussain Shaikh Salleh and Dr. Chee-Ming Ting,

Center for Center for Biomedical Engineering

 

Organizer: Center for Biomedical Engineering, Universiti Teknologi Malaysia.

Advisor: Dato’ Prof Ir Dr Alias Mohd Noor

Organizing Chair: Prof. Ir. Dr. Sheikh Hussain Shaikh Salleh

 

 

Dear Prof/Dr/Mr/Mrs/Miss,

 

We cordially invite you to a one-day short course entitled “Advanced Statistical Biomedical Signal Processing: Applications to fMRI, EEG and PCG Signals” which will be held on 10th Dec 2015 (Thursday) at Universiti Teknologi Malaysia, Kuala Lumpur.

 

This short course will introduce the fundamentals of a range of statistical signal processing techniques for analyzing biomedical signals, in terms of modeling, estimation, inference and prediction of bio-signals. The methods will be illustrated with three important types of bio-signals, i.e. functional magnetic resonance imaging (fMRI), electroencephalogram (EEG) and phonocardiogram (heart sound) with state-of-the-art applications to neuroimaging, brain connectivity analysis, brain-computer interface and cardiac diseases diagnostics.

 

The course is organized into four lecture sessions:

 

Session I and II review the main statistical techniques used to analyze fMRI data for human brain mapping.  The first tutorial will give an overview on parametric and semi-parametric models for hemodynamic response function (HRF) estimation and activation detection of neural activity. Session II presents major modeling and estimation techniques for functional and e­ffective brain connectivity analysis from fMRI data. Session III presents a covariance analysis of the dynamics across multiple-trials bio-signals, applied on multi-channel heart-sounds from di­fferent auscultation points. Session IV will introduce state-space approach to modeling EEG, for estimation of event-related potentials (ERPs) and desynchronization (ERD) for brain-computer-interface, using Kalman filtering and the particle filtering.

 

 

COURSE SCHEDULE

====================

0800 – 0900 – Registration

0900 – 1030 – Session I: HRF Estimation and Activation Detection in fMRI

(Dr. Abd-Krim Seghouane)

1030 – 1045 – Tea Break

1045 – 1215 – Session II: Brain Connectivity Analysis (Dr. Abd-Krim Seghouane)

1215 – 1415 – Lunch

1415 – 1530 – Session III: Analyzing Dependence in Multi-Auscultation Heart-Sound Signals (Prof. Ir. Dr. Sheikh Hussain Shaikh Salleh)

1530 – 1545 – Tea Break

1545 – 1700 – Session IV: State-space Analysis of Non-stationary Neural Signals

(Dr. Chee-Ming Ting)

1700            – Closing

 

SPEAKER SHORT BIOGRAPHY

=========================

Dr. Abd-Krim Seghouane

PhD, University Paris Sud (Paris XI)

ARC Future Fellow, Dept. of Electrical and Electronic Engineering, Uni. of Melbourne.

Associate Editor for the IEEE Transactions on Image Processing

Chair of IEEE Signal Processing Society, Victorian Chapter, Australia

Areas of Expertise: physiological signals, biomedical image analysis and statistical signal and image processing.

 

Prof. Ir. Dr. Sheikh Hussain Shaikh Salleh

PhD, Uni.of Edinburgh

Deputy Director of Center for Biomedical Engineering (CBE), UTM

Chairman of National Technical Committee on Biometrics

Areas of Expertise: biomedical signal processing and instrumentation, cardiac signals, speech and speaker recognition and biometrics.

 

Dr. Chee-Ming Ting

PhD (Statistics), UTM

Senior Lecturer, Faculty of Biosciences and Medical Engineering, UTM

Research Fellow, Center for Biomedical Engineering (CBE), UTM.

Areas of Expertise: Statistical signal processing, time-series analysis, and high-dimensional statistics, neural signals.

 

REGISTRATION FEE

====================

Each participant: RM 490.00

(The registration fee includes lunch and printed lecture slides)

Registration Deadline: 5th Dec 2015

 

For detailed information, enclosed is the short-course announcement pamphlet.

For registration, please fill up the attached registration form at this link

https://docs.google.com/a/utm.my/forms/d/13nU44T9a-IiuM_WSct9tQqF95Fro2T9sgqspY3Q57qA/viewform?c=0&w=1

and send the proof of payment to cmting@utm.my.

 

If you have any inquiries, please contact me. We are looking forward to your participation. Thank you.

 

 

Yours Sincerely,

 

—–

Chee-Ming Ting, Ph.D.

Senior Lecturer
Center for Biomedical Engineering

Faculty of Biosciences & Medical Engineering

Universiti Teknologi Malaysia

http://fbme.utm.my/tingcheeming/

2 thoughts on “Invitation to Short-Course ‘Advanced Statistical Biosignal Processing – fMRI, EEG and PCG Signals’

  1. Maryam

    Dear Sir,
    have filled out and sent the form of registration, regarding the payment my question is can I pay in cash at the day of the workshop?
    There in the form it is written cash can be paid to Johor UTM campus!
    Also, I will come from Penang, so I need to get sure the workshop is surely going to be held, and the exact address of the workshop.

  2. haslina Post author

    Dear Ms Maryam,

    I have forwarded your question to the person in charged. He will be in contact with you soon.

    Thank you.

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