BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Australia/Melbourne BEGIN:DAYLIGHT DTSTART:20211003T030000 TZOFFSETFROM:+1000 TZOFFSETTO:+1100 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10 TZNAME:AEDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20210404T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4 TZNAME:AEST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210523T104715Z UID:F13D5853-8C20-45E7-9856-D46576481177 DTSTART;TZID=Australia/Melbourne:20210520T160000 DTEND;TZID=Australia/Melbourne:20210520T170000 DESCRIPTION:Monitoring vital signs\, including blood pressure (BP)\, heart rate (HR) and respiratory rate (RR) continuously for ambulatory situations is constantly essential to evaluate people's physical and mental health. The BP is defined as two higher systolic BP (SBP) and lower diastolic BP ( DBP) and shows the maximum contraction of the heart and the resting pressu re of the heart\, respectively.\n\nMy study was developing a non-cuff-base d method of determining BP based on time parameters using a combination of a continuous-wave radar (CWR) sensor on the sternum\, bio-impedance (BImp ) sensors across the shoulders\, and a photoplethysmograph (PPG) sensor on the left earlobe.\n\nFirst\, two "time delay" parameters (Pre-ejection pe riod (PEP) and pulse transit time (PAT)) were acquired. The aortic arch mo tions were detected by placing the CWR antennae on the sternum\, which mat ched the PEP. The BImp sensors across the shoulders indicated the central arteries PATs\, while the PPG sensors measured the peripheral arteries PAT s. Then pulse transit time (PTT) were calculated by deducting the PEP from the PAT.\n\nThe technique was examined under three conditions as various postures to monitor the BP at rest situations\, exercise tasks for increas ing BP and spraying inconstant doses of the Glyceryl trinitrate (GTN) medi cation to decrease BP. Data were obtained from 41 subjects in posture task s. Among them\, 24 volunteers participated in exercise tasks\, and 17 subj ects undertook the GTN ones. Continuous beat-to-beat BPs using Finapres an d cuff-based BPs using a Sphygmomanometer were collected during data colle ction as the references. Later\, various regression methods were employed to estimate the BPs based on PTTs using the beat-to-beat and cuff-based BP values.\n\nEliminating the PEPs from the PATs (Result in PTT measurements ) improves BP calculations by around 9%. A comparison is further made betw een the calculated BPs from the BImp-based (central arteries) PTTs and the one from PPG (peripheral) signals. The results prove that the PTTs derive d from central arteries achieve higher than 3% accuracy in BP extraction t han the peripheral ones.\n\nSpeaker(s): Melika P. Ebrahim \, \n\nMelbourne \, Victoria\, Australia\, Virtual: https://events.vtools.ieee.org/m/271837 LOCATION:Melbourne\, Victoria\, Australia\, Virtual: https://events.vtools. ieee.org/m/271837 ORGANIZER:fatemeh.babaeian@ieee.org SEQUENCE:4 SUMMARY:Blood Pressure Estimation using On-body CW Radar URL;VALUE=URI:https://events.vtools.ieee.org/m/271837 X-ALT-DESC:Description: <br /><p>Monitoring vital signs\, including blood p ressure (BP)\, heart rate (HR) and respiratory rate (RR) continuously for ambulatory situations is constantly essential to evaluate people's physica l and mental health. The BP is defined as two higher systolic BP (SBP) and lower diastolic BP (DBP) and shows the maximum contraction of the heart a nd the resting pressure of the heart\, respectively.&nbsp\;</p>\n<p>My stu dy was developing a non-cuff-based method of determining BP based on time parameters using a combination of a continuous-wave radar (CWR) sensor on the sternum\, bio-impedance (BImp) sensors across the shoulders\, and a ph otoplethysmograph (PPG) sensor on the left earlobe.</p>\n<p>First\, two "t ime delay" parameters (Pre-ejection period (PEP) and pulse transit time (P AT)) were acquired. The aortic arch motions were detected by placing the C WR antennae on the sternum\, which matched the PEP. The BImp sensors acros s the shoulders indicated the central arteries PATs\, while the PPG sensor s measured the peripheral arteries PATs. Then pulse transit time (PTT) wer e calculated by deducting the PEP from the PAT.</p>\n<p>The technique was examined under three conditions as various postures to monitor the BP at r est situations\, exercise tasks for increasing BP and spraying inconstant doses of the Glyceryl trinitrate (GTN) medication to decrease BP. Data wer e obtained from 41 subjects in posture tasks. Among them\, 24 volunteers p articipated in exercise tasks\, and 17 subjects undertook the GTN ones. Co ntinuous beat-to-beat BPs using Finapres and cuff-based BPs using a Sphygm omanometer were collected during data collection as the references. Later\ , various regression methods were employed to estimate the BPs based on PT Ts using the beat-to-beat and cuff-based BP values.</p>\n<p>Eliminating th e PEPs from the PATs (Result in PTT measurements) improves BP calculations by around 9%. A comparison is further made between the calculated BPs fro m the BImp-based (central arteries) PTTs and the one from PPG (peripheral) signals. The results prove that the PTTs derived from central arteries ac hieve higher than 3% accuracy in BP extraction than the peripheral ones.</ p> END:VEVENT END:VCALENDAR