As a foundation for lower limb monitoring and for the rest of the academy, let’s start off with an in-depth overview of what an inertial sensor is. Jaime will explain basic concepts such as placement, components, and g calculations while referring to Dr. Clint Hansen for more detailed demonstrations.
- COURSE 1:
Inertial Sensor Basics
- COURSE 2:
- COURSE 3:
How to Use IMU Step
- COURSE 4: Practical Application
- Course 5: Advanced Analysis
How to Record Live Data
The ability to track an athlete’s impact response in real-time is a crucial skill for any practitioner to have in their repertoire. With this information, you can make adapt immediately to a shift in loading pattern or a deviation from your prescribed activity. Combining this with the video also adds a valuable tool for you and the athlete when analyzing the session after it occurs.
Quantifying Performance Across Multiple Data Sources
For this lesson, we focus on bringing multiple sources of data together for improved outcomes. In this webinar, learn from Scott McLean, PhD, how you can develop a holistic and wearable-tech-driven framework through which to maximize performance outcomes, mitigate risk, and support long-term behavioral success and stability.
Setting up for Success with IMUs
During this lesson, Andrew will share best practices on how to practically apply inertial data using his over two decades of experience in high performance. He will take you through real case studies so you can learn his process of how he turns the data he collects into improved outcomes for his athletes and patients.
Using Excel to Dive Deeper into the Data
For our first advanced analysis lesson, Kevin Robell of Preventicx will take you through building your own custom dashboard in excel. This will give you a foundation to conduct a more advanced analysis with your IMU Data. Kevin concludes the lesson by teaching you how to integrate GPS, sleep, and IMU data into a single source, so you can build a comprehensive view of your subjects.