Intelligent ICU for Patient Monitoring Using Pervasive Sensing and AI

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While monitoring patient status through manual assessments and diagnoses is still considered the gold standard, manual methods impose severe time and personnel resources limitations. Many critical care indices are currently repetitively assessed by overburdened ICU nurses, e.g., physical function. Other essential information about patients and their environment are not captured or captured in a non-granular manner, e.g., sleep disturbance factors such as bright light, loud background noise, patient agitation, or excessive visitations. This talk will discuss how to build the foundation of an intelligent ICU by developing and validating real-time and assessment tools using novel pervasive sensing and AI technologies.



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  • Date: 20 Jan 2022
  • Time: 12:00 PM to 01:00 PM
  • All times are America/New_York
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Topic: Webinar Series from EMBS-Boston (IEEE) Chapter
Time: Jan 20, 2022 12:00 PM Eastern Time (US and Canada)

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Meeting ID: 876 2830 4084
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  • Boston, Massachusetts
  • United States

  • Starts 07 January 2022 12:00 AM
  • Ends 20 January 2022 12:45 PM
  • All times are America/New_York
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  Speakers

Parisa Rashidi Parisa Rashidi of University of Florida

Topic:

Intelligent ICU for Patient Monitoring Using Pervasive Sensing and AI

While monitoring patient status through manual assessments and diagnoses is still considered the gold standard, manual methods impose severe time and personnel resources limitations. Many critical care indices are currently repetitively assessed by overburdened ICU nurses, e.g., physical function. Other essential information about patients and their environment are not captured or captured in a non-granular manner, e.g., sleep disturbance factors such as bright light, loud background noise, patient agitation, or excessive visitations. This talk will discuss how to build the foundation of an intelligent ICU by developing and validating real-time and assessment tools using novel pervasive sensing and AI technologies.

Biography:

Dr. Parisa Rashidi is currently an associate professor at the J. Crayton Pruitt Family Department of Biomedical Engineering (BME) at the University of Florida (UF). She is also affiliated with the Electrical & Computer Engineering (ECE) and Computer & Information Science & Engineering (CISE) departments. She is the director of the “Intelligent Health Lab” (i-Heal), and the co-diretcor of the Intelligent Critical Care Center (IC3).  Her research aims to bridge the gap between machine learning and patient care.

Dr. Rashidi is a National Science Foundation (NSF) CAREER awardee, the National Institute of Health (NIH) Trail Blazer Awardee, Herbert Wertheim College of Engineering Assistant Professor Excellence Awardee, and a recipient of the UF term professorship. She is also a recipient of UF’s Provost excellence award for assistant professors; with more than 500 tenure-track assistant professors at UF, Dr. Rashidi is one of only 10 to receive this award. She was invited by the National Academy of Engineering (NAE) as one of only 38 outstanding US engineers under 45 to participate in the 2017 EU-US Frontiers of Engineering (FOE) Meeting. To date, she has authored 120+ peer-reviewed publications. She has chaired six workshops and symposiums on intelligent health systems and has served on the program committee of 20+ conferences. Dr. Rashidi’s research has been supported by local, state, and federal grants, including awards from the National Institutes of Health (NIBIB, NCI, and NIGMS) and the National Science Foundation (NSF).