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Functional Mobility and Healthy Aging in Older Adults:
Functional Mobility and Healthy Aging in Older Adults:
Early Fall Risk Classification, Prediction, and Prevention
Research is focused on early and accurate identification of at-risk fallers in order to prevent falling and subsequent injuries associated with falling. The MML team is using a composite measure of clinical mobility and gait parameters to develop a valid system to classify fallers from non-fallers.
Validation of Wearable Technologies for Clinical Balance and Mobility Research
The MML is working on instrumenting clinically employed subjective tests with wearable technology. Such technology (e.g. IMUs) are then validated against gold standard devices such as the GAITRite mat and force plates. The goal is to create both a user-friendly and clinically viable tool that can be used in a clinical setting to assess fall mobility and understand fall risk in older adults.
Relationship Between Cognitive and Motor Decline and its Impact on Mobility
The MML team is investigating changes in mobility due to cognitive loads and the intra-individual differences that occur in dual-task conditions–specifically when a cognitive task is added to normal walking.
Algorithm Development for Gait Feature Detection and Fall Prediction
Members of the MML are working to develop a valid algorithms for measuring temporospatial gait parameters in older adults using IMUs. Moreover, they are also examining feature detection to help predict falls using various techniques such as Principle Component Analysis. The goal of this research is to use the algorithms to characterize differences in fallers and non-fallers in gait initiation and trials of steady state walking. Such algorithms will help improve the sensitivity and specificity of both fall classification and prediction with the hopes of predicting falls before they occur, thereby preventing fall-related injuries and improving the overall quality of life of older adults.
High Performance:
High Performance:
Sport Performance Technology Validation
The MML team is working diligently on validating motion through space with various measurement instruments including:
Insole-mounted inertial measurement units (IMUs) for validating orientation in real time for both overground and treadmill running metrics
The Burteck Force Plate treadmill and Vicon Motion Capture system to determine the 3D orientation of where the foot is in space
Optical Capture Systems for validating use in over-ground running
Performance Modelling
Various MML team members are researching cutting-edge Force-Velocity (FV) Profiling. Projects range from examining athletes’ overall FV profiles to investigating FV profiles of segmented parts of skills. Moreover, MML members are using several measurement tools to obtain FV profiles (e.g. ultrawide-band paired with an IMU).
Paralympic Sport
Development of Metrics for Injury Prevention
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