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DTSTART;TZID=America/Toronto:20250919T161000
DTEND;TZID=America/Toronto:20250919T162500
DTSTAMP:20250919T160731Z
CREATED:20250905T180504Z
LAST-MODIFIED:20250919T160731Z
UID:10000603-1758298200-1758299100@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Sebastian Silva
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: MS2158 – 1 King’s College Circle\nPresentation Title: Development of a Music-Based Wearable Biofeedback System to Improve Lower Limb Amputee Gait Symmetry\nAbstract:\nLower-limb amputees (LLAs) can exhibit asymmetric gait\, which may contribute to the development of secondary conditions. Access to conventional gait training is often impeded by factors such as healthcare funding\, long travel times\, or occupational obligations. This has created a growing interest in technology-based alternatives for in-community gait rehabilitation. One such promising technique is the use of wearable biofeedback systems (WBSs) for gait training\, with multiple studies utilizing various feedback modalities (visual\, auditory\, and vibrotactile) to attain positive outcomes for LLA participants\, including a more normal gait pattern and improved gait symmetry. Within the realm of auditory stimuli\, rhythmic auditory stimulus (RAS)\, and more specifically music\, may provide distinct advantages when applied to LLA gait. The entrainment of walking cadence and music tempo is a well-documented phenomenon\, with studies having shown that music stimulus can improve the gait symmetry of hemiparetic stroke patients. However\, to date\, there are no gait training systems that have applied music-based feedback to correct gait asymmetry of LLAs. To address this gap\, the goal of this project is to design and validate a wearable biofeedback system that employs a music-based strategy to improve the temporal gait symmetry of LLAs.\nThe physical WBS consists of two inertial sensors to measure cadence and gait symmetry\, an Android phone to run the feedback algorithm\, and headphones. Participants will first complete a baseline assessment without RAS\, to determine their average gait symmetry and cadence. They will then perform RAS walking trials with three different closed-loop feedback strategies\, as well as with open-loop RAS. The music used in walking trials will be of a constant tempo matching the participant’s average cadence\, and rhythmically enhanced via metronome tones using beat detection algorithms. Participants will complete questionnaires to assess system usability\, as well as the enjoyment\, and task load of each strategy.\nSupervisor Name: Dr. Jan Andrysek\nYear of Study: 2\nProgram of Study: MASc\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-sebastian-silva/
LOCATION:MS2158
CATEGORIES:Graduate Seminar Series
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DTSTART;TZID=America/Toronto:20250919T162500
DTEND;TZID=America/Toronto:20250919T164000
DTSTAMP:20250919T160731Z
CREATED:20250905T200731Z
LAST-MODIFIED:20250919T160731Z
UID:10000626-1758299100-1758300000@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Yat Ching Valerie Kwong
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: MS2158 – 1 King’s College Circle\nPresentation Title: Multimodal Neuroprosthesis System for Home-Based Upper Extremity Rehabilitation\nAbstract: The loss of voluntary motor function reduces independence and quality of life. Rehabilitation relies on neuroplasticity and task-specific training\, but conventional therapy is labor-intensive\, costly\, and often inaccessible during the critical recovery period. Functional Electrical Stimulation Therapy (FEST) enhances motor recovery\, yet current devices remain inflexible and dependent on manual adjustments. This project describes the development of a multimodal neuroprosthesis system integrating FEST\, speech recognition\, and computer vision. The system will enable multiple grasp types through a universal stimulation program\, allow discrete-vocabulary voice commands for control\, and use real-time object recognition to adjust stimulation according to task demands. Usability and interface design will be evaluated with healthy and stroke participants\, focusing on latency\, recognition accuracy\, and user preferences across manual\, speech\, and vision inputs. The expected contributions include increased autonomy for individuals\, support for home-based rehabilitation\, reduced healthcare burden\, and promotion of independence and quality of life.\nSupervisor Name: Dr. Cesar Marquez-Chin\, Dr. Milos R. Popovic\nYear of Study: 2\nProgram of Study: PhD\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-yat-ching-valerie-kwong/
LOCATION:MS2158
CATEGORIES:Graduate Seminar Series
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