In this introductory course co-taught by C-STAR and the Restore Center, we will take a practical approach to understand how machine learning and sensors can be applied in the rehabilitation field, pitfalls to avoid, how to get started and how these tools can create reliable digital biomarkers. The course will be on-line on May 17, 2023, and is eligible for CME credit.
In the first half of the webinar, Dr. Roemmich will demonstrate the ability to perform quantitative gait analyses in multiple clinical populations using videos that can be recorded simply using household devices. In the tutorial during the second half of the webinar, Dr. Stenum will walk the audience through all the steps needed to execute this workflow for video-based clinical gait analysis.
Members of the Restore and Mobilize Centers at Stanford and the Kennedy Krieger Institute at John Hopkins University will be leading a session entitled “Facilitating the shift toward precision rehabilitation: infrastructure, feasibility, and implementation.” WHERE: Association of Academic Physiatrists (AAP) conference, Anaheim, California WHEN: February 22, 2023
We are pleased to announce we will be holding Virtual Office Hours to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. These office hours are offered as part of the training efforts of our Restore and Mobilize Centers. We will have three tracks for Read more
In the first half of the webinar, Drs. Uhlrich and Falisse will present their validation of OpenCap. They will demonstrate how OpenCap accurately predicts dynamic measures, like muscle activations, joint loads, and joint moments, which can be used to screen for disease risk, evaluate intervention efficacy, assess between-group movement differences, and inform rehabilitation decisions. In the tutorial during the second half of the webinar, Drs. Uhlrich and Falisse will share how to set up a collection, access kinematic measures, generate dynamic simulations, and understand the strengths and limitations of OpenCap.
In the first half of the webinar, Dr. Selinger will show that free-living runners, most often out for a jog and not a race, prefer a particular running speed largely independent of run distance. Moreover, these preferred speeds are remarkably consistent with the objective of minimizing energy expenditure. These findings offer insight into the biological objectives that shape human running preferences in the real world—an important consideration when examining human ecology or creating training strategies to improve performance and prevent injury.
We are pleased to announce we will be holding Virtual Office Hours to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. These office hours are offered as part of the training efforts of our Restore and Mobilize Centers. We will have two tracks for Read more
How do runners choose the speed at which to run? Stanford researchers answered this question using wearable data from thousands of recreational runners. The researchers showed that a runner’s preferred speed is actually the most energetically efficient or burns the least calories per unit distance traveled. This finding changes our Read more
In the first half of the webinar, Dr. Slade discussed the background and experimental work used to design and validate the Wearable System. In the tutorial during the second half of the webinar, Dr. Slade shared tips and guide you through the code so you can utilize this approach to estimate calories burned from wearable sensors in your own studies.
We are pleased to announce we will be holding Virtual Office Hours to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. These office hours are offered as part of the training efforts of our Restore and Mobilize Centers. We will have two tracks for Read more