Posts Tagged: Clinical Engineering

Computational model unveils dynamics of Deep Brain Stimulation 

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.

Enhancing Balance Rehabilitation

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.

Research utilizes machine learning to improve gait analysis in rehabilitation

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.

Developing wearable technologies as a Senior Signal Processing Engineer

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.

BME Professor secures CIHR funding to improve autism medication selection

Dr. Azadeh Kushki (BME) has been awarded funding from the Canadian Institutes of Health Research (CIHR) for her work in improving medication selection for autistic children. Along with Dr. Danielle Baribeau, Dr. Melanie Penner, and Marlee Vandewouw at the Holland Bloorview Kids Rehabilitation Hospital, this funding provides operational support to perform research.
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