———————– Short-Course Announcement ———————–<\/p>\n
<\/p>\n
Advanced Statistical Biomedical Signal Processing<\/p>\n
Applications to fMRI, EEG and PCG Signals<\/p>\n
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Dewan Ilmuan 2, Aras 2, Menara Razak<\/p>\n
Universiti Teknologi Malaysia, Kuala Lumpur Campus,<\/p>\n
Jalan Semarak, Kuala Lumpur.<\/p>\n
10th<\/sup> Dec 2015 (Thursday)<\/p>\n <\/p>\n Speakers: Dr Abd-Krim Seghouane, Department of Electrical and Electronic Engineering, University of Melbourne<\/p>\n Prof. Ir. Dr. Sheikh Hussain Shaikh Salleh and Dr. Chee-Ming Ting,<\/p>\n Center for Center for Biomedical Engineering<\/p>\n <\/p>\n Organizer: Center for Biomedical Engineering, Universiti Teknologi Malaysia.<\/p>\n Advisor: Dato’ Prof Ir Dr Alias Mohd Noor<\/p>\n Organizing Chair: Prof. Ir. Dr. Sheikh Hussain Shaikh Salleh<\/p>\n <\/p>\n <\/p>\n Dear Prof\/Dr\/Mr\/Mrs\/Miss,<\/p>\n <\/p>\n We cordially invite you to a one-day short course entitled \u201cAdvanced Statistical Biomedical Signal Processing: Applications to fMRI, EEG and PCG Signals\u201d which will be held on 10th<\/sup> Dec 2015 (Thursday) at Universiti Teknologi Malaysia, Kuala Lumpur.<\/p>\n <\/p>\n 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.<\/p>\n <\/p>\n The course is organized into four lecture sessions:<\/p>\n <\/p>\n Session I and II review the main statistical techniques used to analyze fMRI data for human brain mapping.\u00a0 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 e\u00adffective 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 di\u00adfferent 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.<\/p>\n <\/p>\n <\/p>\n COURSE SCHEDULE<\/p>\n ====================<\/p>\n 0800 – 0900 \u2013 Registration<\/p>\n 0900 – 1030 \u2013 Session I: HRF Estimation and Activation Detection in fMRI<\/p>\n (Dr. Abd-Krim Seghouane)<\/p>\n 1030 – 1045 \u2013 Tea Break<\/p>\n 1045 – 1215 \u2013 Session II: Brain Connectivity Analysis (Dr. Abd-Krim Seghouane)<\/p>\n 1215 – 1415 \u2013 Lunch<\/p>\n 1415 – 1530 \u2013 Session III: Analyzing Dependence in Multi-Auscultation Heart-Sound Signals (Prof. Ir. Dr. Sheikh Hussain Shaikh Salleh)<\/p>\n 1530 – 1545 \u2013 Tea Break<\/p>\n 1545 – 1700 \u2013 Session IV: State-space Analysis of Non-stationary Neural Signals<\/p>\n (Dr. Chee-Ming Ting)<\/p>\n 1700\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u2013 Closing<\/p>\n <\/p>\n SPEAKER SHORT BIOGRAPHY<\/p>\n =========================<\/p>\n Dr. Abd-Krim Seghouane<\/p>\n PhD, University Paris Sud (Paris XI)<\/p>\n ARC Future Fellow, Dept. of Electrical and Electronic Engineering, Uni. of Melbourne.<\/p>\n Associate Editor for the IEEE Transactions on Image Processing<\/p>\n Chair of IEEE Signal Processing Society, Victorian Chapter, Australia<\/p>\n Areas of Expertise: physiological signals, biomedical image analysis and statistical signal and image processing.<\/p>\n <\/p>\n Prof. Ir. Dr. Sheikh Hussain Shaikh Salleh<\/p>\n PhD, Uni.of Edinburgh<\/p>\n Deputy Director of Center for Biomedical Engineering (CBE), UTM<\/p>\n Chairman of National Technical Committee on Biometrics<\/p>\n Areas of Expertise: biomedical signal processing and instrumentation, cardiac signals, speech and speaker recognition and biometrics.<\/p>\n <\/p>\n Dr. Chee-Ming Ting<\/p>\n PhD (Statistics), UTM<\/p>\n Senior Lecturer, Faculty of Biosciences and Medical Engineering, UTM<\/p>\n Research Fellow, Center for Biomedical Engineering (CBE), UTM.<\/p>\n Areas of Expertise: Statistical signal processing, time-series analysis, and high-dimensional statistics, neural signals.<\/p>\n <\/p>\n REGISTRATION FEE<\/p>\n ====================<\/p>\n Each participant: RM 490.00<\/p>\n (The registration fee includes lunch and printed lecture slides)<\/p>\n Registration Deadline: 5th<\/sup> Dec 2015<\/p>\n <\/p>\n For detailed information, enclosed is the short-course announcement pamphlet.<\/p>\n For registration, please fill up the attached registration form at this link<\/p>\n