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Medicine and Health Sciences Commons

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

Physical Therapy

2014

Falls

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Identification Of Functional Parameters For The Classification Of Older Female Fallers And Prediction Of ‘First-Time’ Fallers, Niklas König Ignasiak Aug 2014

Identification Of Functional Parameters For The Classification Of Older Female Fallers And Prediction Of ‘First-Time’ Fallers, Niklas König Ignasiak

Physical Therapy Faculty Articles and Research

Falls remain a challenge for ageing societies. Strong evidence indicates that a previous fall is the strongest single screening indicator for a subsequent fall and the need for assessing fall risk without accounting for fall history is therefore imperative. Testing in three functional domains (using a total 92 measures) were completed in 84 older women (60–85 years of age), including muscular control, standing balance, and mean and variability of gait. Participants were retrospectively classified as fallers (n = 38) or non-fallers (n = 42) and additionally in a prospective manner to identify first-time fallers (FTFs) (n = 6) within a …


Classifying Lower Extremity Muscle Fatigue During Walking Using Machine Learning And Inertial Sensors, Jian Zhang, Thurmon Lockhart, Rahul Soangra Mar 2014

Classifying Lower Extremity Muscle Fatigue During Walking Using Machine Learning And Inertial Sensors, Jian Zhang, Thurmon Lockhart, Rahul Soangra

Physical Therapy Faculty Articles and Research

Fatigue in lower extremity musculature is associated with decline in postural stability, motor performance and alters normal walking patterns in human subjects. Automated recognition of lower extremity muscle fatigue condition may be advantageous in early detection of fall and injury risks. Supervised machine learning methods such as Support Vector Machines (SVM) have been previously used for classifying healthy and pathological gait patterns and also for separating old and young gait patterns. In this study we explore the classification potential of SVM in recognition of gait patterns utilizing an inertial measurement unit associated with lower extremity muscular fatigue. Both kinematic and …