Motion Capture
Quantitative Modelling of Spontaneous Movements in Infants
The development of spontaneous movements in young infants (0-16 weeks) has been used as a predictor of complex neurological disorders such as autism spectrum disorder, cerebral palsy, and developmental coordination disorder through the qualitative evaluation of complexity, variation, and fluidity of movement. However, few quantitative studies exist on movement in full-term infants, and none with respect to premature infants who are at higher risk of neurodevelopmental disorders. We are using motion tracking to measure early motor function in young infants with the aim of developing a quantitative diagnostic tool that can be used to predict a variety of neurological disorders.
Quantitative Modelling of Surgical Skill Acquisition
Assessment of surgical competency relies heavily on subjective rather than objective measurement tools; quantifying motor learning in this environment will provide a means of assessing surgical skill acquisition in residents. In collaboration with the Centre for Minimal Access Surgery at St. Joseph's Healthcare Hamilton, we will be using motion tracking to mathematically derive a quantitative model of surgical skill acquisition using common movement parameters such as complexity, variation, and fluidity of movement.
Sensory feedback
Exploring user needs and sensory feedback for lower limb amputees and prosthetic device: A MIXED METHODS APPROACH
Current prosthetic devices for lower limb amputees lack sensory feedback. How can prosthetic devices be improved to allow for better mobility and rehabilitation in lower limb amputees? Devices can be improved by incorporating technology that allows for more sensory feedback, and mimics the natural leg as much as possible. These changes include the incorporation of a hydraulic ankle, a more flexible foot, and increased tactile feedback to the device. Osseointegration (the implantation of the device to the bone) also appears to be a desired preference within the sample. Alongside these changes, it is evident that multiple different device types and styles should be offered to each patient. This will allow lower limb amputees to adjust their device to fit their activities for that day.
Mobility and rehabilitation is not solely dependent on the device type. There are many other factors that are contributing to disrupted mobility and decreased levels of rehabilitation in this community. These factors include things such as: inaccessible healthcare, varying degrees of healthcare coverage, inaccessible environments, a lack of societal awareness, and a lack of resources provided to lower limb amputees.
For more information on Rija Khalid’s study, please refer to her thesis attached below. If you have any questions please find researcher’s contact information in the “People” page.