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DTSTART;TZID=America/Toronto:20241216T171000
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CREATED:20241015T195237Z
LAST-MODIFIED:20241216T173751Z
UID:10000500-1734369000-1734369900@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Michael Tisi
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: MY380\nPresentation Title: Machine Learning Can Predict Lung Function Patterns from Oscillometry Signals\nSupervisor Name: Chung-Wai Chow\nYear of Study: 4\nProgram of Study: PhD\nReschedule Reason: Adding Supervisor as guest\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-michael-tisi/
LOCATION:MY380
CATEGORIES:Graduate Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20241216T172500
DTEND;TZID=America/Toronto:20241216T174000
DTSTAMP:20241216T173751Z
CREATED:20241015T195237Z
LAST-MODIFIED:20241216T173751Z
UID:10000501-1734369900-1734370800@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Atousa Assadi
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: MY380\nPresentation Title: Risk Assessment and Prediction of Opioids Induced Respiratory Depression During Sleep\nAbstract: Opioids induced respiratory adverse events during sleep is a major health challenge. These adverse events are mainly characterized as prolonged reduction of airflow and respiratory rate and reduced blood oxygen saturation. The consequences are cardiopulmonary complications\, increased morbidity\, hospital length of stay\, costs\, 30-day readmission\, and higher mortality. The risk factors include age\, sex\, body mass index\, opioids’ dosage\, comorbid sleep and cardiac disorders\, and concomitant use of other medications. While identifying high-risk individuals\, proper monitoring of their respiratory function\, and timely interventions can significantly prevent the adverse events\, current techniques have low accuracy\, lack external validation\, have false errors\, cannot predict adverse respiratory events. Therefore\, in this research project\, our goal is to develop algorithms based on signal processing and artificial intelligence techniques for risk assessment and prediction of respiratory adverse events during sleep in individuals who are taking opioids. The outcome of this research can help identify high-risk individuals for more frequent monitoring of their respiratory function. Moreover\, the monitoring and prediction algorithm can be used to alert the caregivers in advance of an adverse event for initiating proper intervention.\nSupervisor Name: Dr. Azadeh Yadollahi\nYear of Study: 5\nProgram of Study: PhD\nReschedule Reason: Adding supervisor as guest\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-atousa-assadi-3/
LOCATION:MY380
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20241216T174000
DTEND;TZID=America/Toronto:20241216T175500
DTSTAMP:20241216T173752Z
CREATED:20241015T195237Z
LAST-MODIFIED:20241216T173752Z
UID:10000502-1734370800-1734371700@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Delaram Sadatamin
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: MY380\nPresentation Title: Developing a Textile-Based Wearable for ECG Monitoring\nSupervisor Name: Dr. Azadeh Yadollahi\nYear of Study: 3\nProgram of Study: PhD\nReschedule Reason: Adding supervisor as guest\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-delaram-sadatamin/
LOCATION:MY380
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20241216T175500
DTEND;TZID=America/Toronto:20241216T181000
DTSTAMP:20241216T173752Z
CREATED:20241015T195237Z
LAST-MODIFIED:20241216T173752Z
UID:10000503-1734371700-1734372600@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Saba Sadatamin
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: MY380\nPresentation Title: PhD seminar thesis – 2nd\nSupervisor Name: George Ibrahim\nYear of Study: 4\nProgram of Study: PhD\nReschedule Reason: Adding supervisor as guest\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-saba-sadatamin/
LOCATION:MY380
CATEGORIES:Graduate Seminar Series
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