Kinesiotherapy Commons^™

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° …

Effects Of Visual Referencing On Backward And Forward Treadmill Walking In Vr Environments, Rahul Soangra, Sivakumar Rajagopal

Physical Therapy Faculty Articles and Research

Backward walking is used increasingly as a rehabilitation exercise for stroke and diabetic peripheral neuropathy patients to improve strength and balance. However, it is unclear how visual referencing affects backward and forward walking. In this study, we evaluated spatiotemporal gait characteristics changes due to visual referencing while backward/forward walking. Sixteen healthy young participants were recruited in this study. All participants walked for 2 min with and without visual referencing in the virtual reality environment. While walking backward participants faced the virtual reality screen similar to forward walking, but their treadmill belt direction of movement was reversed. All participants walked at …

Influence Of Posture-Cuing Shirt On Tennis Serve Kinematics In Division Iii Tennis Players, Joseph Zappala, Caroline Orrego, Emily Boe, Heather Fechner, Derek Salminen, Daniel Cipriani

Physical Therapy Faculty Articles and Research

Objective: Injuries to the shoulder complex are common in overhead athletes, often related to kinematics of the shoulder complex. This study evaluated the influence of a posture-cuing shirt on internal rotation velocity of the shoulder during a tennis swing and to determine this influence on shoulder external rotation position. Methods: Nine healthy competitive college tennis players from a Division III college participated in this study. High speed motion capture allowed for 3-D analysis of shoulder kinematics during a tennis serve. Two conditions were evaluated while the athletes performed a high velocity tennis serve: standard tennis shirt and a …

1st Place Research Paper: The Effectiveness Of Yoga Therapy On An Adult, Post-Stroke Population: A Systematic Review, Baylor E. Hogan

Kevin and Tam Ross Undergraduate Research Prize

Objectives: The objectives of this paper are to (1) give a brief overview of stroke pathophysiology (2) outline yoga as a therapeutic strategy (3) present the current research on yoga rehabilitation for stroke (4) discuss the efficacy of yoga for chronic stroke.

Methods: Relevant terms were searched in PubMed, Web of Science, Academic OneFile, ScienceDirect, and Google Scholar electronic databases. Studies were excluded if they contained pediatric stroke, non-stroke neurological diseases, or subjects with comorbidities. Statistically significant data was extracted for the primary measures of nine trials.

Results: Four studies measured statistically significant outcomes (p<0.05). These included improvements in balance, independence, endurance, trait anxiety, fear of falling, self-efficacy, pain, strength, range of motion (ROM), activity, participation, and quality of life (QoL). Discussion: Lack of statistical significance in post-stroke depression (PSD) measures may be due to inadequate intervention length or a psychosocial cause of depression. Improvements in balance, flexibility, and strength from yoga participation permitted progress in disability and functionality. Finally, overall health-related quality of life (HRQL) is affected by the severity of mental disorders and physical disability. Yoga can have a positive effect in both domains and therefore, may improve HRQL.

Conclusion: …

1st Place Contest Entry: The Effectiveness Of Yoga Therapy On An Adult, Post-Stroke Population: A Systematic Review, Baylor E. Hogan

Kevin and Tam Ross Undergraduate Research Prize

This is Baylor Hogan's submission for the 2016 Kevin and Tam Ross Undergraduate Research Prize, which won first place. She wrote about the effects of yoga therapy on the physical and mental wellbeing of stroke patients. You can read the final essay that came out of her research here.

Baylor is a senior at Chapman University, majoring in Kinesiology. Her faculty mentor is Dr. Elizabeth DeBaets.

Innovative Evaluation Of Dexterity In Pediatrics, Susan V. Duff, Dorit H. Aaron, Gloria R. Gogola, Francisco J. Valero-Cuevas

Physical Therapy Faculty Articles and Research

Introduction

Hand dexterity is multifaceted and essential to the performance of daily tasks. Timed performance and precision demands are the most common features of quantitative dexterity testing. Measurement concepts such as rate of completion, in-hand manipulation and dynamic force control of instabilities are being integrated into assessment tools for the pediatric population.

Purpose

To review measurement concepts inherent in pediatric dexterity testing and introduce concepts that are infrequently measured or novel as exemplified with two assessment tools.

Methods

Measurement concepts included in common assessment tools are introduced first. We then describe seldom measured and novel concepts embedded in two instruments; …

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 …