Kinesiotherapy Commons^™

Efficacy Of Electromyography And The Dead Bug Exercise, Taylor M. Scavo, Rachel C. Cooklin, Erika N. Faria, Madeline L. Johnson, Eric Sternlicht

Student Scholar Symposium Abstracts and Posters

The Dead Bug exercise is performed in physical therapy clinics to restore lumbar spine stability and core strength in patients with lower back pain (LBP). The aim of this study was to evaluate the efficacy of using electromyography (EMG) feedback to enhance proper mechanics during the Dead Bug exercise. Sixteen healthy, college age students volunteered as subjects for the study. Subjects performed the Dead Bug (Fig. 1a.) with and without visual EMG cues and were given instructions on how to execute the exercise. Data was recorded using a BTS FREEEMG Analyzer and signal processed and data analyzed using the BTS …

Osteoblast-Derived Fgf9 Regulates Skeletal Homeostasis, Liping Wang, Theresa M. Roth, Marcia J. Abbott, Linh Ho, Lalita Wattanachanya, Robert A. Nissenson

Health Sciences and Kinesiology Faculty Articles

FGF9 has complex and important roles in skeletal development and repair. We have previously observed that Fgf9 expression in osteoblasts (OBs) is regulated by G protein signaling and therefore the present study was done to determine whether OB-derived FGF9 was important in skeletal homeostasis. To directly test this idea, we deleted functional expression of Fgf9 gene in OBs using a 2.3 kb collagen type I promoter-driven Cre transgenic mouse line (Fgf9^{OB −/−}). Both Fgf9 knockout (Fgf9^{OB −/−}) and the Fgf9 floxed littermates (Fgf9^fl/fl) mice were fully backcrossed and maintained in an FBV/N background. Three …

Adaptations Of Lumbar Biomechanics After Four Weeks Of Running Training With Minimalist Footwear And Technique Guidance: Implications For Running-Related Lower Back Pain, Szu-Ping Lee, Joshua P. Bailey, Jo Armour Smith, Stephanie Barton, David Brown, Talia Joyce

Physical Therapy Faculty Articles and Research

Objectives

To investigate the changes in lumbar kinematic and paraspinal muscle activation before, during, and after a 4-week minimalist running training.

Design

Prospective cohort study.

Setting

University research laboratory.

Participants

Seventeen habitually shod recreational runners who run 10–50 km per week.

Main outcome measures

During stance phases of running, sagittal lumbar kinematics was recorded using an electrogoniometer, and activities of the lumbar paraspinal muscles were assessed by electromyography. Runners were asked to run at a prescribed speed (3.1 m/s) and a self-selected speed.

Results

For the 3.1 m/s running speed, significant differences were found in the calculated mean lumbar posture …

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 …