Séminaires virtuels du CHAPITRE EMBS/CASS de Québec
Novel techniques to predict Obstructive Seep Apnea Severity during Daytime (Wakefulness) using Machine-Learning Algorithms
Professor Zahra Moussavi
Dept. of Electrical & Computer Engineering / Dept. of Psychiatry / Biomedical Engineering Program, University of Manitoba
En personne, jeudi le 3 mars 2022 à 15h00, salle PLT-1120 / In person, Thursday March 3 2022, 3:00PM, room PLT-1120 :
Abstract
Obstructive sleep apnea (OSA) is an underdiagnosed common disorder. Undiagnosed OSA, in particular, increases the perioperative morbidity and mortality risks for OSA patients undergoing surgery requiring full anesthesia. OSA screening using the gold standard, Polysomnography (PSG), is expensive, in need of expert skills and time-consuming.
In this talk, I will present the research on developing objective and accurate alternative tools for screening OSA during daytime (wakefulness) by a few minutes of breathing sounds analysis. In particular, I will explain our new algorithm, AWakeOSA, that extracts an optimized set (3-4) of breathing sound features specific to each anthropometric feature (i.e. age, sex, etc.), and uses a two-level diagnostic classification to determine OSA severity for each subject.
Short Bio
Zahra Moussavi is a professor, a former Canada Research Chair, and the founder and former director of Biomedical Engineering Graduate Program at University of Manitoba. Her current research focuses are on medical devices instrumentation and signal analysis for sleep apnea management and Alzheimer’s diagnosis and treatment using virtual reality, rTMS and EVestG technologies. She is the recipient of several awards including the “2018 Technical Excellence Award,” Engineers Geoscientists Manitoba, Oct. 2018, “Canada’s Most Powerful Women (Top 100)”, “Manitoba Distinguished Women” in 2014 and IEEE EMBS Distinguished Lecturer, 2014 and 2019. She has published more than 306 peer-reviewed papers in journals and conferences, and has given >116 invited talks/seminars including 2 Tedx Talks and 9 keynote speaker seminars at national and international conferences. Aside from academic work, on her spare time, she writes science articles for public; also, has developed and offered memory fitness programs for aging population.
Date and Time
Location
Hosts
Registration
- Date: 03 Mar 2022
- Time: 03:00 PM to 04:00 PM
- All times are (GMT-05:00) Canada/Eastern
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- 1065 avenue de la médecine
- Département de génie électrique et de génie informatique
- Quebec City, Quebec
- Canada G1V 0A6
- Building: Adrien-Pouliot
- Room Number: 1120
Speakers
Dr Zahra Moussavi of Dept. of Electrical & Computer Engineering / Dept. of Psychiatry / Biomedical Engineering Program, University of Manitoba
Novel techniques to predict Obstructive Seep Apnea Severity during Daytime (Wakefulness) using Machine-Learning Algorith
Obstructive sleep apnea (OSA) is an underdiagnosed common disorder. Undiagnosed OSA, in particular, increases the perioperative morbidity and mortality risks for OSA patients undergoing surgery requiring full anesthesia. OSA screening using the gold standard, Polysomnography (PSG), is expensive, in need of expert skills and time-consuming.
In this talk, I will present the research on developing objective and accurate alternative tools for screening OSA during daytime (wakefulness) by a few minutes of breathing sounds analysis. In particular, I will explain our new algorithm, AWakeOSA, that extracts an optimized set (3-4) of breathing sound features specific to each anthropometric feature (i.e. age, sex, etc.), and uses a two-level diagnostic classification to determine OSA severity for each subject.
Biography:
Zahra Moussavi is a professor, a former Canada Research Chair, and the founder and former director of Biomedical Engineering Graduate Program at University of Manitoba. Her current research focuses are on medical devices instrumentation and signal analysis for sleep apnea management and Alzheimer’s diagnosis and treatment using virtual reality, rTMS and EVestG technologies. She is the recipient of several awards including the “2018 Technical Excellence Award,” Engineers Geoscientists Manitoba, Oct. 2018, “Canada’s Most Powerful Women (Top 100)”, “Manitoba Distinguished Women” in 2014 and IEEE EMBS Distinguished Lecturer, 2014 and 2019. She has published more than 306 peer-reviewed papers in journals and conferences, and has given >116 invited talks/seminars including 2 Tedx Talks and 9 keynote speaker seminars at national and international conferences. Aside from academic work, on her spare time, she writes science articles for public; also, has developed and offered memory fitness programs for aging population.