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Chapman University

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Falls

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Full-Text Articles in Medicine and Health Sciences

Short-Term Benefits From Manual Therapy As An Adjunct Treatment For Persistent Postural-Perceptual Dizziness Symptoms: A Preliminary Prospective Case Series, Brent A. Harper, Larry Steinbeck May 2024

Short-Term Benefits From Manual Therapy As An Adjunct Treatment For Persistent Postural-Perceptual Dizziness Symptoms: A Preliminary Prospective Case Series, Brent A. Harper, Larry Steinbeck

Physical Therapy Faculty Articles and Research

Persistent dizziness and balance deficits are common, often with unknown etiology. Persistent Postural-Perceptual Dizziness (3PD) is a relatively new diagnosis with symptoms that may include dizziness, unsteadiness, or non-vertiginous dizziness and be persistent the majority of time over a minimum of 90 days. The purpose of this case series was to investigate short-term outcomes of reducing dizziness symptoms using a manual therapy intervention focused on restoring mobility in the fascia using a pragmatically applied biomechanical approach, the Fascial Manipulation® method (FM®), in patients with 3PD. The preliminary prospective case series consisted of twelve (n = 12) patients …


Comparison Of 360° Turn Cycles Among Individuals After Stroke And Healthy Older Adults, Rahul Soangra, Vennila Krishnan, Joby John, Ehsan Rashedi, Alison Mckenzie Apr 2021

Comparison Of 360° Turn Cycles Among Individuals After Stroke And Healthy Older Adults, Rahul Soangra, Vennila Krishnan, Joby John, Ehsan Rashedi, Alison Mckenzie

Physical Therapy Faculty Articles and Research

Stroke survivors are at high risk of falling during turning. The kinematics of performing a 360° turn have not been fully analyzed among individuals after stroke. Quantitative differences in the parameters of turning between healthy older adults and those after stroke could provide detailed information on turning ability among these groups. The purpose of the current study was to characterize differences between healthy older adults and adults after stroke in 360° turn kinematics. Fourteen individuals with chronic stroke (mean age: 69 ± 8.4 years) and 14 healthy older adults (mean age: 74 ± 8.7 years) performed three trials of 360° …


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 …