Category
Presentation
Effects of Fatigue on Motor Unit Activation Shannon Toy1, Christopher De Leon1, Mirai Manatad1, Tiffany Lubrino1, Armond Gray1, Christopher Hoang1&2, Michael Shiraishi1, Rahul Soangra1&3 1Crean College of Health and Behavioral Sciences, Chapman University, Orange, CA 92866 2Schmid College of Science… Continue Reading →
From Fall 2019 to Spring 2020, undergraduate student researchers, Nate Addonizio and Lexi Nehls, assisted with the Idiopathic Toe-Walking in children project. They had hands-on experience of assisting both the clinical team (Dr. Marybeth Grant-Beuttler and DPTs) and engineering team… Continue Reading →
Spring 2020 – Quantifying muscle fatigue and gait asymmetry of college athletes using motor units
Sticky post
This past spring 2020, student researchers (Shannon Toy, Tiffany Lubrino, Armond Gray, CJ De Leon, Amir Memarian, and Mimi Manatad) explored the effects of single leg fatigue on gait and balance in an original research project. Despite COVID-19 ending the… Continue Reading →
Crean College Research Night 2019
Sticky post
Thank you to all at the Crean College Research Night for the great time! It was wonderful to meet and greet everyone who is passionate about science. Tonight was the first time Christopher Hoang and Michael Shiraishi unveiled their project… Continue Reading →
This is a quick instructional video our research associate, Henry Do, made to help doctor of physical therapy (DPT) students learn about the device they’ll be using for data collection for their capstone studies. Good luck you guys!
Christopher Hoang presents the research from “Gait Rehab Lab” at the Orange Research Expo for Undergraduates, Chapman University. The lab designs and fabricates the sensors and their housing, ranging from bed sore sensor applications to therapy shoes to correct idiopathic toe-walking… Continue Reading →
Harbir Bhatti presents his research involving Gait Real-Time Analysis Interactive Lab (GRAIL) and fall risk assessment in elderly people. Using sensory perturbations and gait parameters analysis, Harbir creates a model assessing fall risk.
Here is Sharon Kim presenting her work with machine learning/deep learning algorithms and idiopathic toe-walking in adolescents. Sharon used these tools to classify toe-toe walking vs. heel-toe walking and build an accurate model.
Here is Henry Do (above) and Michael Pollind (above) presenting their research on the use of wearable sensors in fall risk assessment in older adults. Here is Sharon Kim presenting her work with machine learning/deep learning algorithms and idiopathic toe-walking in… Continue Reading →
Recent Comments