BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Canada/Eastern BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220520T131944Z UID:CF1D301A-0382-4238-8E85-55D731A73FB5 DTSTART;TZID=Canada/Eastern:20220303T150000 DTEND;TZID=Canada/Eastern:20220303T160000 DESCRIPTION:Novel techniques to predict Obstructive Seep Apnea Severity dur ing Daytime (Wakefulness) using Machine-Learning Algorithms\n\nProfessor Z ahra Moussavi\n\nDept. of Electrical & Computer Engineering / Dept. of Psy chiatry / Biomedical Engineering Program\, University of Manitoba\n\nEn pe rsonne\, jeudi le 3 mars 2022 à 15h00\, salle PLT-1120 / In person\, Thur sday March 3 2022\, 3:00PM\, room PLT-1120 :\n\nAbstract\n\nObstructive sl eep apnea (OSA) is an underdiagnosed common disorder. Undiagnosed OSA\, in particular\, increases the perioperative morbidity and mortality risks fo r 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.\n\nIn this talk\, I will present the research on developing objective and accurate alternative tools for screen ing OSA during daytime (wakefulness) by a few minutes of breathing sounds analysis. In particular\, I will explain our new algorithm\, AWakeOSA\, th at extracts an optimized set (3-4) of breathing sound features specific to each anthropometric feature (i.e. age\, sex\, etc.)\, and uses a two-leve l diagnostic classification to determine OSA severity for each subject.\n\ nShort Bio\n\nZahra Moussavi is a professor\, a former Canada Research Cha ir\, and the founder and former director of Biomedical Engineering Graduat e Program at University of Manitoba. Her current research focuses are on m edical devices instrumentation and signal analysis for sleep apnea managem ent 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 Manit oba\, Oct. 2018\, “Canada’s Most Powerful Women (Top 100)”\, “Mani toba Distinguished Women” in 2014 and IEEE EMBS Distinguished Lecturer\, 2014 and 2019. She has published more than 306 peer-reviewed papers in jo urnals and conferences\, and has given >116 invited talks/seminars includi ng 2 Tedx Talks and 9 keynote speaker seminars at national and internation al conferences. Aside from academic work\, on her spare time\, she writes science articles for public\; also\, has developed and offered memory fitn ess programs for aging population.\n\nSpeaker(s): Dr Zahra Moussavi\, \n\n Room: 1120\, Bldg: Adrien-Pouliot\, 1065 avenue de la médecine\, Départe ment de génie électrique et de génie informatique\, Quebec City\, Quebe c\, Canada\, G1V 0A6\, Virtual: https://events.vtools.ieee.org/m/306559 LOCATION:Room: 1120\, Bldg: Adrien-Pouliot\, 1065 avenue de la médecine\, Département de génie électrique et de génie informatique\, Quebec City \, Quebec\, Canada\, G1V 0A6\, Virtual: https://events.vtools.ieee.org/m/3 06559 ORGANIZER:benoit.gosselin@gel.ulaval.ca SEQUENCE:4 SUMMARY:Séminaires virtuels du CHAPITRE EMBS/CASS de Québec URL;VALUE=URI:https://events.vtools.ieee.org/m/306559 X-ALT-DESC:Description: <br /><p><strong><span style="font-size: 18pt\;">No vel techniques to predict Obstructive Seep Apnea Severity during Daytime ( Wakefulness) using Machine-Learning Algorithms</span></strong></p>\n<p><st rong>Professor Zahra Moussavi</strong></p>\n<p><strong>Dept. of Electrical &amp\; Computer&nbsp\;Engineering / Dept. of Psychiatry / Biomedical Engi neering Program\, University of Manitoba</strong></p>\n<p><strong>En perso nne\, jeudi le 3 mars 2022 &agrave\; 15h00\, salle PLT-1120&nbsp\;/ In per son\, Thursday March 3 2022\, 3:00PM\, room PLT-1120&nbsp\;:</strong></p>\ n<p><strong>Abstract</strong></p>\n<p>Obstructive sleep apnea (OSA) is an underdiagnosed common disorder. Undiagnosed OSA\, in particular\, increase s the perioperative morbidity and mortality risks for OSA patients undergo ing surgery requiring full anesthesia. OSA screening using the gold standa rd\, Polysomnography (PSG)\, is expensive\, in need of expert skills and t ime-consuming.</p>\n<p>In this talk\, I will present the research on devel oping objective and accurate alternative tools for screening OSA during da ytime (wakefulness) by a few minutes of breathing sounds analysis. In part icular\, I will explain our new algorithm\, AWakeOSA\, that extracts an op timized set (3-4) of breathing sound features specific to each anthropomet ric feature (i.e. age\, sex\, etc.)\, and uses a two-level diagnostic clas sification to determine OSA severity for each subject.</p>\n<p>&nbsp\;</p> \n<p>&nbsp\;</p>\n<p><strong>Short Bio</strong></p>\n<p>Zahra Moussavi<str ong>&nbsp\;</strong>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 de vices instrumentation and signal analysis for sleep apnea management and A lzheimer&rsquo\;s diagnosis and treatment using virtual reality\, rTMS and EVestG technologies.&nbsp\;&nbsp\;She is the recipient of several awards including the&nbsp\;&ldquo\;2018 Technical Excellence Award\,&rdquo\; Engi neers Geoscientists Manitoba\, Oct. 2018\,&nbsp\;&ldquo\;Canada&rsquo\;s M ost Powerful Women (Top 100)&rdquo\;\, &ldquo\;Manitoba Distinguished Wome n&rdquo\; in 2014 and IEEE EMBS Distinguished Lecturer\, 2014 and 2019. Sh e has published more than 306 peer-reviewed papers in journals and confere nces\, and&nbsp\;has given &gt\;116 invited talks/seminars including 2 Ted x Talks and&nbsp\;9 keynote speaker seminars at national and international conferences. Aside from academic work\, on her spare time\, she writes sc ience articles for public\; also\, has developed and offered memory fitnes s programs for aging population.&nbsp\;&nbsp\;&nbsp\;</p> END:VEVENT END:VCALENDAR