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DTSTART;TZID=UTC:20230809T160000
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SUMMARY:Wearable Mechatronic Garments for Motion Assessment and Support
DESCRIPTION:Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a technical talk on the Wearable Mechatronic Garments for Motion Assessment and Support presented by Dr. Ana Luisa Trejos.  Wednesday\, August 9\, 2023 @ 4:00 – 5:00 PM  Abstract: More than 3.5 billion people suffer from neurological or musculoskeletal disorders. The aging population and growing obesity rates in Canada are predicted to substantially increase the prevalence of these conditions\, which result in limited mobility and a reduced quality of life. The rehabilitation programs required to recover from these conditions are expensive\, time consuming\, overwhelming\, and limited in their effectiveness. Incomplete recovery results in chronic pain and disability associated with limited mobility that costs Canadians over $20 billion each year in direct and indirect costs.  To help patients recover fully from mobility-related disorders or to assist with long-lasting mobility issues\, Dr. Trejos is leading an interdisciplinary research team focused on the design and development of wearable biomechatronic devices. The ultimate goal for these advanced technologies is to have them monitor patient performance and actively respond to their needs in real time by providing therapy\, ensuring adherence and engagement\, and directly communicating with clinicians. This talk will focus on presenting our progress to date at the Wearable Biomechatronics Laboratory\, focusing on the design of novel unobtrusive actuators\, embedded sensors for tracking patient biosignals\, control systems that advance the intelligence of the devices\, and user interfaces to communicate with patients and clinicians.  Speaker(s): Ana Luisa Trejos\, PhD.\,   Virtual: https://events.vtools.ieee.org/m/368022
URL:https://www.ieeetoronto.ca/event/wearable-mechatronic-garments-for-motion-assessment-and-support/
LOCATION:Virtual: https://events.vtools.ieee.org/m/368022
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