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Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Rehabilitation and Therapy

Chapman University

Series

2022

Gait

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Classifying Toe Walking Gait Patterns Among Children Diagnosed With Idiopathic Toe Walking Using Wearable Sensors And Machine Learning Algorithms, Rahul Soangra, Yuxin Wen, Hualin Yang, Marybeth Grant-Beuttler Jul 2022

Classifying Toe Walking Gait Patterns Among Children Diagnosed With Idiopathic Toe Walking Using Wearable Sensors And Machine Learning Algorithms, Rahul Soangra, Yuxin Wen, Hualin Yang, Marybeth Grant-Beuttler

Physical Therapy Faculty Articles and Research

Idiopathic toe walking (ITW) is a gait abnormality in which children’s toes touch at initial contact and demonstrate limited or no heel contact throughout the gait cycle. Toe walking results in poor balance, increased risk of falling, and developmental delays among children. Identifying toe walking steps during walking can facilitate targeted intervention among children diagnosed with ITW. With recent advances in wearable sensing, communication technologies, and machine learning, new avenues of managing toe walking behavior among children are feasible. In this study, we investigate the capabilities of Machine Learning (ML) algorithms in identifying initial foot contact (heel strike versus toe …


General Variability Leads To Specific Adaptation Toward Energy Optimal Policies, Sabrina J. Abram, Katherine L. Poggensee, Natalia Sánchez, Surabhi N. Simha, James M. Finley, Steven H. Collins, J. Maxwell Donelan May 2022

General Variability Leads To Specific Adaptation Toward Energy Optimal Policies, Sabrina J. Abram, Katherine L. Poggensee, Natalia Sánchez, Surabhi N. Simha, James M. Finley, Steven H. Collins, J. Maxwell Donelan

Physical Therapy Faculty Articles and Research

Our nervous systems can learn optimal control policies in response to changes to our bodies, tasks, and movement contexts. For example, humans can learn to adapt their control policy in walking contexts where the energy-optimal policy is shifted along variables such as step frequency or step width. However, it is unclear how the nervous system determines which ways to adapt its control policy. Here, we asked how human participants explore through variations in their control policy to identify more optimal policies in new contexts. We created new contexts using exoskeletons that apply assistive torques to each ankle at each walking …