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DTSTART;TZID=America/Toronto:20221018T120000
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CREATED:20220704T182650Z
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UID:10000041-1666094400-1666098000@bme.utoronto.ca
SUMMARY:Global Speaker Series: Jacob (Yaqub) Hanna\, PhD -Weizmann Institute of Science
DESCRIPTION:The Medicine by Design Global Speaker Series invites established and emerging international leaders in regenerative medicine to engage with our extraordinary community of researchers and clinicians.\nMedicine by Design\, in partnership with the McEwen Stem Cell Institute\, is pleased to welcome Jacob (Yaqub) Hanna\, PhD\, Senior Scientist and Professor\, Department of Molecular Genetics\, Weizmann Institute of Science.\nThe title of this talk will be\, tbc\nIn Person – Register Here\nVirtual – Register Here\nHybrid event\, with in-person and virtual options\n In-person will be held at the Terrence Donnelly Centre for Cellular & Biomolecular Research\, Red Room.\n Virtual event links will be sent after registration.\n Learn more about Jacob (Yaqub) Hanna
URL:https://bme.utoronto.ca/event/global-speaker-series-jacob-yaqub-hanna-phd-weizmann-institute-of-science/
LOCATION:Donnelly Centre for Cellular and Biomolecular Research\, Red Room\, 160 College Street\, Toronto\, Ontario\, M5S 3E1\, Canada
CATEGORIES:External Speaker Series
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DTSTART;TZID=America/Toronto:20221019T123000
DTEND;TZID=America/Toronto:20221019T130000
DTSTAMP:20221018T220743Z
CREATED:20220824T165251Z
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UID:10000051-1666182600-1666184400@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Anchana Kuganesan
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Minimizing Pedestrian Falls on Outdoor Walkways: Minimum Foot Clearance Estimation (MFCE) System\nAbstract:\nFalls are the most common cause of injury in seniors with one in three Canadian adults aged 65 years and older experiencing a fall at least once annually . Many outdoor fall-related injuries on sidewalks are caused by tripping that occurs when an individual fails to adjust their gait while negotiating obstacles and raised surfaces . An important indicator of the risk of tripping is an individual’s minimum foot clearance (MFC) . MFC refers to the instant in the swing phase of the gait cycle when the foot is closest to ground . As an individual gets older\, their mean MFC value also decreases putting them at increased risk for falls. 13% of adults in the risk population have MFC values below 6 mm yet many jurisdictions allow level changes up to 13 mm . The existing literature on MFC values are based on measurements done in the laboratory environment\, which is known to result in overestimates of 6.5–16.2% compared to real-world settings . In order to address the need for real-world MFC measurements\, new and more efficient approaches for measuring MFC are needed. Our team has recently developed the Minimum Foot Clearance Estimation (MFCE) system . The data collection module is designed to be positioned at ground level next to a walkway to efficiently collect sagittal plane videos of many pedestrians’ feet and lower legs. It consists of two video cameras (Z CAM E2) and two calibrated parallel laser beams (Galileo pro\, 5 mW\, Laserglow Technologies) positioned within the field of view of the video cameras such that they are projected onto the pedestrian’s lower leg. The videos recorded by the camera are used to track the foot trajectory of the pedestrian with an open-source software package and extract the MFC value. The known distance between the two laser beams is used to define a scale on the video image so that foot clearance distances measured in pixels on the video image can be converted to distances in millimeters. The video data collected is then processed offline using a computer vision algorithm for automatically estimating MFC values. The objective of the current project is to use the MFCE system to estimate the distribution of MFC values for the population by estimating\, collecting\, and analyzing foot clearance estimates from pedestrians on outdoor walkways. Data collection locations will include walkways that are level\, sloped\, and locations with existing level changes of differing sizes. The resulting estimated MFC values from this analysis will be plotted in a set of histograms defining the MFC distribution for pedestrians that will be used to determine the extent to which individuals adjust their foot clearances in each of the conditions evaluated. This foot clearance distribution data will contribute to developing evidence-based guidelines for outdoor walkway design and maintenance and inform other strategies for minimizing the risk of trip-related falls on outdoor walkways.\nReferences\n Pearson C\, Geran L\, St-Arnaud J. Understanding seniors’ risk of falling and their perception of risk. Statistics Canada; 2014 Oct.\n Delfi G\, Kamachi M\, Dutta T. Development of an Automated Minimum Foot Clearance Measurement System: Proof of Principle. Sensors. 2021 Jan;21(3):976.\n Rao MV\, Malini M\, Priya NS. Sensor Technologies for Foot Clearance Measurement.\n Graci V\, Elliott DB\, Buckley JG. Peripheral visual cues affect minimum-foot-clearance during overground locomotion. Gait & posture. 2009 Oct 1;30(3):370-4.\n Toronto CO. Accessibility Design Guidelines. Diversity Management and Community Engagement Corporate Policy/Healthy City Office. 2004.\n Best R\, Begg R. A method for calculating the probability of tripping while walking. Journal of biomechanics. 2008 Jan 1;41(5):1147-51.\n Scanlon JM. Comparing Gait between Outdoors and Inside a Laboratory (Doctoral dissertation\, Virginia Tech).\n Barrett RS\, Mills PM\, Begg RK. A systematic review of the effect of ageing and falls history on minimum foot clearance characteristics during level walking. Gait & posture. 2010 Oct 1;32(4):429-35.\nSupervisor Name: Dr.Tilak Dutta\nYear of Study: 2\nProgram of Study: MASc\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-anchana-kuganesan/
CATEGORIES:Graduate Seminar Series
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DTSTART;TZID=America/Toronto:20221020T110000
DTEND;TZID=America/Toronto:20221020T120000
DTSTAMP:20220929T144006Z
CREATED:20220927T195752Z
LAST-MODIFIED:20220929T144006Z
UID:10000129-1666263600-1666267200@bme.utoronto.ca
SUMMARY:TBEP Research Seminar: The role of synthetic pulse wave data in the development of technologies to assess cardiovascular function
DESCRIPTION:Jordi Alastruey\, Ph.D. \nSenior Lecturer \nSchool of Biomedical Engineering and Imaging Sciences\, King’s College London \n***This is a Zoom only event\nJordi Alastruey received the M.Sc. degree in civil engineering from the Universitat Politècnica de Catalunya\, Barcelona\, Spain\, in 2002\, and the Ph.D. degree in biomedical engineering from Imperial College London (ICL)\, London\, U.K.\, in 2006. In 2009 he was awarded a British Heart Foundation Research Fellowship; began his fellowship at ICL before moving to King’s College London in 2011\, where he is currently a Senior Lecturer with the School of Biomedical \nEngineering and Imaging Sciences. He leads the Haemodynamic Modelling Research Group which specialises in the assessment of cardiovascular function based on the analysis of pulse wave (PW) signals. These signals are influenced by the heart\, vasculature\, and respiratory and autonomic nervous systems\, making them a rich source of information to assess human health. \nHe and his colleagues develop novel models for simulating PW signals\, such as blood pressure and photoplethysmogram waves\, under a variety of physiological and pathophysiological \nconditions. They develop methods for calibrating these models and understanding the physical mechanisms underlying their results. They also investigate signal processing techniques to assess the functions of the cardiovascular\, respiratory\, and autonomic nervous systems from PW signals acquired by a variety of devices\, including wearable sensors. The seminar will focus on the simulation of PW signals using biophysical modelling and on the creation of \ndatasets of synthetic PWs representative of samples of real subjects. These datasets are a cost-effective approach for the development and pre-clinical testing of technologies to assess cardiovascular function under a wide range of physiological conditions. They also allow us to understand biophysical mechanisms underlying correlations observed from populations of real subjects and train machine-learning algorithms for PW analysis. The seminar will present the benefits of using synthetic PW datasets in the assessment of vascular ageing and arterial hypertension from PW signals.
URL:https://bme.utoronto.ca/event/tbep-research-seminar-the-role-of-synthetic-pulse-wave-data-in-the-development-of-technologies-to-assess-cardiovascular-function/
CATEGORIES:External Speaker Series
ORGANIZER;CN="Translational Biology and Engineering Program (TBEP)":MAILTO:reception.tbep@utoronto.ca
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