• Human Assistive Devices

    Empowering Mobility:

                 Developing Assistive Devices for Treatment Programs

  • Joint Biomechanics

    Automating Development of Patient-specific FE Model 

  • Wearable Technologies

    Wearable Devices for Real-time Continuous Monitoring of Vital Signals

People in orthopedic therapy rehabilitation vector illustration set. Cartoon flat therapist character working with disabled patient, rehabilitating physical activity, physiotherapy isolated on white

Human Assistive Devices

About 19% of the Canadian population with lower limb injuries could benefit from rehabilitation programs. Accordingly, cycling devices form a major part of this market, presenting a huge opportunity for innovative devices that can help end users in monitoring and analyzing critical information related to their rehabilitation program. In iHADLab, we designed APAD, a unique solution for custom-designed rehabilitation interventions, and real-time patient performance data collection and interpretation.

Joint Biomechanics

We are looking for an automated method to develop patient-specific FE knee model and predict the state of stresses and strains in the knee components as a fast and accurate surrogate of FEA. Currently, image segmentation, geometry and mesh development, and conducting FEA of full knee model may take few days. Trained deep learning models could generate the cartilage stress distributions on a scale of few seconds, consistent with and magnitudes faster than FEA. Such a method has significant application in clinics where predicting the mechanobiological response of human organs in a timely manner is important.
Smartwatch applications isolated cartoon vector illustrations set. Fall detection notification feature, woman check cycle day using app, activity tracking, fitness and health vector cartoon.

Wearable Technologies

Disease diagnosis and monitoring using conventional healthcare services is typically expensive and has limited accuracy. Wearable health technology based on flexible electronics has gained tremendous attention in recent years for monitoring patient health owing to attractive features, such as lower medical costs, quick access to patient health data, ability to operate and transmit data in harsh environments, storage at room temperature, non-invasive implementation, mass scaling, etc. This technology provides an opportunity for disease pre-diagnosis and immediate therapy. Wearable sensors have opened a new area of personalized health monitoring by accurately measuring physical states and biochemical signals. We use advanced materials, manufacturing methods, and artificial intelligence (AI) in the development of wearable sensors. The ultimate goal is to develop point-of-care solutions for diagnosis and monitoring health conditions.