Collaborative projects (CPs) drive the development of our computational models and tools. They help us identify technological needs within the bioengineering, biomechanical modeling, data science, mHealth, and rehabilitation research communities. We work with them to define the specifications for tools to address those needs, and they serve as beta testers to refine and harden the tools we develop and share through extensive two-way collaboration.
Our current CPs are:
- Personalized Gait Retraining for Individuals with Osteoarthritis
PI: Julie Kolesar, VA Palo Alto Health Care System
- Estimating Bone Loading via Wearable Sensors in Children with Cerebral Palsy
PI: Tishya Wren, Children’s Hospital Los Angeles
- Optimization of Exoskeleton Assistance Using Wearable Sensors
PI: Steve Collins, Stanford University
- Prediction of Freezing of Gait from Neural Recordings and IMU Data
PI: Helen Bronte-Stewart, Stanford University
Service Projects (SPs) expand the usability of the software, models, and other resources we develop. They provide greater coverage than our Collaborative Projects (CPs) and test the generalizability of our resources.
Our current SPs are:
- Monitoring Knee Biomechanics After Anterior Cruciate Ligament (ACL) Reconstruction
PI: Eni Halilaj, Carnegie Mellon University
- Automatic Extraction of Modeling Parameters from the Scientific Literature
PI: Ahmet Erdemir, Cleveland Clinic
- An Electronic Health Record-Based Joint Replacement Surveillance System
PI: Nigam Shah, Stanford University; Nicholas Giori, Palo Alto VA Health System
Have a project you think would be a great CP or SP? Contact us at firstname.lastname@example.org.