BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Canada/Eastern BEGIN:DAYLIGHT DTSTART:20210314T030000 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:20210927T230254Z UID:0FF83A4B-EB67-4A6D-A943-572B71166A48 DTSTART;TZID=Canada/Eastern:20210927T113000 DTEND;TZID=Canada/Eastern:20210927T133000 DESCRIPTION:Complexity-based analysis of physiological signals to decode th e correlation between different organs\n\nBy: Hamidreza Namazi (Ph.D.)\n\n It is known that physiological interactions between different organs occur at multiple levels to optimize their functions and synchronize their dyna mics. Decoding these interactions is an important challenge since the orga n systems are complex. This complexity is the result of interactions of mu lticomponent sub-systems and leads to scale-invariant output signals (e.g. \, EEG signals). Therefore\, analysis of the physiological signals is very important to decode the connection between different organs. In this semi nar\, we will discuss the application of complexity-based methods (e.g.\, fractal theory) to quantify the complex structure of physiological signals and accordingly decode their correlation in different conditions under th e network physiology. We will also discuss how the developments in this fi eld will enhance research and applications in other fields.\n\nBiography\n \nHamidreza Namazi received his Ph.D. degree in Mechanical Engineering fro m Nanyang Technological University (Singapore). Currently\, he is working as an Adjunct Lecturer at Monash University (Malaysia)\, a Researcher at t he University of Calgary (Canada)\, a Visiting Professor at the University of Hradec Kralove (Czech Republic)\, an adjunct fellow at Victoria Univer sity (Australia)\, and a researcher at Masaryk University (Czech Republic) . His research interests primarily focus on mathematical and computational analysis of physiological signals to decode the correlation between diffe rent organs. He is the corresponding author of more than 95 peer-reviewed ISI journal papers in the area of signal processing. He is also serving as the editor of several ISI journals such as Frontiers in Cardiovascular Me dicine (Impact factor=6.050)\, Mathematical Biosciences and Engineering (I mpact Factor=2.080)\, International Journal of Imaging Systems and Technol ogy (Impact Factor=2.000)\, Fluctuation and Noise Letters (Impact Factor=1 .310)\, and Technology and Health Care (Impact Factor=1.285).\n\nCo-sponso red by: IEEE Carleton University EMBS Student Club\n\nSpeaker(s): Dr. Hami dreza Namazi\, \n\nVirtual: https://events.vtools.ieee.org/m/282676 LOCATION:Virtual: https://events.vtools.ieee.org/m/282676 ORGANIZER:sreeramanr@sce.carleton.ca SEQUENCE:6 SUMMARY:Complexity-based analysis of physiological signals to decode the co rrelation between different organs URL;VALUE=URI:https://events.vtools.ieee.org/m/282676 X-ALT-DESC:Description: <br /><p><strong>Complexity-based analysis of physi ological signals to decode the correlation between different organs </stro ng></p>\n<p><strong>&nbsp\;</strong>By: Hamidreza Namazi (Ph.D.)</p>\n<p>& nbsp\;</p>\n<p>It is known that physiological interactions between differe nt organs occur at multiple levels to optimize their functions and synchro nize their dynamics. Decoding these interactions is an important challenge since the organ systems are complex. This complexity is the result of int eractions of multicomponent sub-systems and leads to scale-invariant outpu t signals (e.g.\, EEG signals). Therefore\, analysis of the physiological signals is very important to decode the connection between different organ s. In this seminar\, we will discuss the application of complexity-based m ethods (e.g.\, fractal theory) to quantify the complex structure of physio logical signals and accordingly decode their correlation in different cond itions under the network physiology. We will also discuss how the developm ents in this field will enhance research and applications in other fields. </p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p><strong>Biography</strong></p>\n< p>Hamidreza Namazi received his Ph.D. degree in Mechanical Engineering fro m Nanyang Technological University (Singapore). Currently\, he is working as an Adjunct Lecturer at Monash University (Malaysia)\, a Researcher at t he University of Calgary (Canada)\, a Visiting Professor at the University of Hradec Kralove (Czech Republic)\, an adjunct fellow at Victoria Univer sity (Australia)\, and a researcher at Masaryk University (Czech Republic) . His research interests primarily focus on mathematical and computational analysis of physiological signals to decode the correlation between diffe rent organs. He is the corresponding author of more than 95 peer-reviewed ISI journal papers in the area of signal processing. He is also serving as the editor of several ISI journals such as Frontiers in Cardiovascular Me dicine (Impact factor=6.050)\, Mathematical Biosciences and Engineering (I mpact Factor=2.080)\, International Journal of Imaging Systems and Technol ogy (Impact Factor=2.000)\, Fluctuation and Noise Letters (Impact Factor=1 .310)\, and Technology and Health Care (Impact Factor=1.285).</p> END:VEVENT END:VCALENDAR