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DTSTART:20230312T070000
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DTSTART:20221106T060000
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UID:69d73f5c5d3c7
DTSTART;TZID=America/Toronto:20230801T160000
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DTEND;TZID=America/Toronto:20230801T173000
URL:https://uwaterloo.ca/electrical-computer-engineering/events/masc-semina
 r-cardio-respiratory-health-monitoring-using
LOCATION:EIT - Centre for Environmental and Information Technology 200 Univ
 ersity Avenue West Room 3142 Waterloo ON N2L 3G1 Canada
SUMMARY:MASc Seminar: Cardio-respiratory Health Monitoring Using a Wearable
 \nRadar System
CLASS:PUBLIC
DESCRIPTION:Candidate: Serene Abu-Sardanah\n\nDate: August 1\, 2023\n\nTime
 : 4:00pm\n\nLocation: EIT 3142\n\nSupervisors: Omar Ramahi\, George Shaker
 \n\nABSTRACT: \n\nCardiac and pulmonary health play a crucial role in ove
 rall\nwell-being\, as cardiovascular and respiratory diseases continue to\
 npose significant global health challenges. However\, traditional\nmonitor
 ing methods like ECG and spirometry have limitations\, driving\nthe need f
 or alternative approaches. We introduce a wearable\nchest-worn radar syste
 m operating at 60 GHz\, enabling contactless and\nnear-field monitoring of
  cardio-respiratory activity. By capturing\ndetailed displacement waveform
 s associated with chest movement during\nrespiration and the cardiac cycle
 \, the radar system provides\ncontinuous and accurate extraction of vital 
 signs including\nrespiratory rate (RR)\, heart rate (HR)\, and heart rate 
 variability\n(HRV). To ensure effective performance in close proximity to 
 the skin\,\nelectromagnetic simulations were conducted to assess the radar
 \nsystem's capabilities. Subsequently\, experiments using the chest-worn\n
 radar prototype successfully extracted detailed cardiac and\nrespiratory w
 aveforms. The system effectively differentiated between\ndifferent breathi
 ng types (labored\, shallow) and detected apnea.\nFurthermore\, functional
  waveforms for cardiac activity were mapped\nagainst a reference electroca
 rdiogram (ECG)\, establishing a\nphysiological basis for radar signal meas
 urements during the cardiac\ncycle. This radar-based monitoring approach e
 xhibits promising\npotential for accurate and continuous assessment of car
 dio-respiratory\nhealth. It offers advantages over traditional methods\, i
 ncluding\nsimplicity\, continuous monitoring\, and improved patient comfor
 t.
DTSTAMP:20260409T055540Z
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