[BIC-announce] Seminar in Biomedical Engineering - Wednesday Oct 2nd - 1 pm - Room 333

[Christophe Grova]

Dear all,

We will have our next Biomedical Engineering seminar this coming Wednesday

Wednesday - October 2nd,  at 1 pm

Location: Room  333 Lyman Duff Building (Biomedical Engineering Dpt, 3775  University Street).

Speaker: Dr. Zahra Moussavi PhD, Department of Electrical and Computer Engineering, University of Manitoba.

Title: Obstructive Sleep Apnea Detection during Wakefulness: Challenges and Future Directions

Abstract:
Obstructive sleep apnea (OSA) is a common respiratory disorder during sleep, in which the airways are collapsed and impair the respiration. Sleep apnea (hypopnea) is a cessation (or >50% reduction) of airflow to the lungs which lasts at least for 10s and is associated with at least 4% in the blood's Oxygen level (SaO2). OSA is highly underdiagnosed mainly because current diagnostic methods are very time-consuming and expensive.
In this talk, I report on developing a new acoustic system for OSA detection (Awake-OSA) during wakefulness (Awake-OSA), which requires only a few minutes of breathing sound recording. We record tracheal respiratory sounds during nose and mouth breathing in supine and upright postures, while the subjects are awake. Power spectrum density and bispectrum of the sound signals are estimated, and features are extracted from different sub-bands over 100-2600 Hz.  The differences of features between supine and upright postures and between nose and mouth breathing are also calculated. We use a subset of data for training, i.e. selecting the best features and use the rest of data for evaluating the accuracy of classification; this is repeated with 10-fold cross validation to cover all possibilities with no overlap between training and testing sets. We use a heuristic classification method, called Smart Expert Classifiers, based on building a minimum-distance classifier for each feature and voting from individual features to decide the class prediction.
I will briefly discuss the underlying hypotheses for the above mentioned methods, and the results of our recent studies

Bio:
Dr. Zahra Moussavi received her B.Sc. from Sharif University of Technology, Iran, M.Sc. from the University of Calgary, and Ph.D. from University of Manitoba, Canada in 1997, all in Electrical Engineering. She then joined the respiratory research group of the Winnipeg Children’s Hospital and worked as a research associate for 1.5 years. In 1999, she joined the Biomedical Engineering Department of Johns Hopkins University and worked there as a postdoctoral fellow for one year. Following that, she joined the University of Manitoba, Department of Electrical and Computer Engineering as a faculty member, where she is currently a full professor, a Canada Research Chair in Biomedical Engineering and also director of Biomedical Engineering Graduate Program. She is also an adjunct scientist at the TRTech of Winnipeg, a research affiliate of Riverview Health Center and a distinguished Lecturer of IEEE. With over 180 publications in prestigious journals and conferences, her current research includes acoustic sleep apnea detection, respiratory and swallowing sound analysis, and early diagnosis and treatment of Alzheimer disease. She has given 35 invited talks/seminars (10 outside of Canada) including a recent Tedx Talk and 2 keynote speaker seminars at international conferences.


A list of upcoming seminars can be found at : http://www.mcgill.ca/bme/news/seminars

See you there


Christophe Grova


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Christophe Grova, PhD
Assistant Professor
Biomedical Engineering Dpt
Neurology and Neurosurgery Dpt

Multimodal Functional Imaging Lab (Multi FunkIm)
Montreal Neurological Institute
Centre de Recherches en Mathématiques

Biomedical Engineering Department - Room 304
McGill University
3775 University Street, Montreal, Quebec, Canada,
H3A 2B4
email : christophe.grova at mcgill.ca<mailto:christophe.grova at mcgill.ca>
tel : (514) 398 2516
fax : (514) 398 7461

Web:
http://www.bic.mni.mcgill.ca/ResearchLabsMFIL/PeopleChristophe
http://www.bmed.mcgill.ca/
MultiFunkIm Lab:
http://www.bic.mni.mcgill.ca/ResearchLabsMFIL/HomePage

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