Posts Tagged: Clinical Engineering
The Discovery Grant program is dedicated to supporting researchers as they venture into new territories to find solutions to pressing issues such as environmental protection, food security, and sustainable construction in cold climates. It aims to promote and maintain a diverse and high-quality research capability in the natural sciences and engineering at Canadian universities, foster research excellence, and provide a stimulating environment for research training.
A recent study published in BioMedical Engineering OnLine introduces a novel smart sleeve designed for Functional Electrical Stimulation (FES) applications. This new technology integrates advanced carbon-based dry electrodes within a textile structure, offering significant improvements in comfort and usability for patients with motor control impairments.
Initiated in 2015, the Joint Seed Program is an interdivisional research funding program designed to promote multi-disciplinary research and catalyze new innovative partnerships between researchers from the Faculty of Applied Science and Engineering and those from outside of Engineering. The recipients for this year will undertake unique and innovative research initiatives ranging from developing bioinoculant strategies to equitable healthcare and advanced imaging techniques.
Dr. José Zariffa will be the holder of the KITE Chair in Spinal Cord Injury Research at UHN, a joint Hospital-University Named Chair between the University Health Network and the University of Toronto (UofT), for a five-year term, effective April 1, 2024. The KITE Chair in Spinal Cord Injury Research was initially established in December 2007 thanks to the kind and thoughtful generosity of a variety of donors to Toronto Rehabilitation Institute.
Researchers at UHN’s KITE Research Institute have recently leveraged the power of deep learning to improve nerve signalling interpretation, paving the way for more effective neuroprosthetic devices and offering new hope for those with impaired motor function.
Deep Brain Stimulation (DBS) has been a longstanding adjunctive therapy for movement disorders like Parkinson's disease, yet its precise mechanisms of action have remained elusive. In a recent study published in the journal Neuromodulation, Dr. Milad Lankarany and his team have introduced a computational model that accurately predicts the dynamics of neuronal activity during DBS across various frequencies.
Researchers from the University of Toronto have unveiled a new technological breakthrough that promises to transform early childhood music education. The study addresses a critical gap in musical instrument classification, particularly concerning non-pitched percussion instruments. The findings are published in a recent issue of PLOS one.
Researchers from UHN’s KITE Research Institute have investigated a new affordable and clinically accessible training system for improving the standing balance of spinal cord injury patients. The team led by Dr. Kei Masani, KITE Senior Scientist and senior author of the study, investigated the integration of low-cost and portable sensors like a depth camera and pressure mat, which use motion tracking and distribution of pressure, respectively, to analyze movement.
The latest research led by Prof. Jan Andrysek published in a peer-reviewed article showcases a pioneering approach to gait analysis, a crucial aspect of rehabilitation and clinical diagnosis. Clinicians have long relied on gait indicators like step length, stride velocity, and joint angles to assess and treat gait issues. However, traditional statistical methods have limitations in analyzing the vast sets of data generated by instrumented gait analysis techniques.
After completing her master’s degree in brain-computer interfaces (BCI) from Professor Tom Chau’s lab in 2019, Rozhin Yousefi embarked on a journey through adjacent industries, capitalizing on her expertise in signal processing, machine learning, and physiological data analysis. Now serving as the Senior Signal Processing Engineer at WHOOP, she specializes in developing and refining wearable devices aimed at tracking health and fitness.
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