Foot and Ankle Motion Analysis Using Dynamic Radiographic Imaging Benjamin Donald Mchenry Marquette University

Total Page:16

File Type:pdf, Size:1020Kb

Foot and Ankle Motion Analysis Using Dynamic Radiographic Imaging Benjamin Donald Mchenry Marquette University Marquette University e-Publications@Marquette Dissertations (2009 -) Dissertations, Theses, and Professional Projects Foot and Ankle Motion Analysis Using Dynamic Radiographic Imaging Benjamin Donald McHenry Marquette University Recommended Citation McHenry, Benjamin Donald, "Foot and Ankle Motion Analysis Using Dynamic Radiographic Imaging" (2013). Dissertations (2009 -). Paper 276. http://epublications.marquette.edu/dissertations_mu/276 FOOT AND ANKLE MOTION ANALYSIS USING DYNAMIC RADIOGRAPHIC IMAGING by Benjamin D. McHenry, B.S. A Dissertation submitted to the Faculty of the Graduate School, Marquette University, in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Milwaukee, Wisconsin May 2013 ABSTRACT FOOT AND ANKLE MOTION ANALYSIS USING DYNAMIC RADIOGRAPHIC IMAGING Benjamin D. McHenry, B.S. Marquette University, 2013 Lower extremity motion analysis has become a powerful tool used to assess the dynamics of both normal and pathologic gait in a variety of clinical and research settings. Early rigid representations of the foot have recently been replaced with multi-segmental models capable of estimating intra-foot motion. Current models using externally placed markers on the surface of the skin are easily implemented, but suffer from errors associated with soft tissue artifact, marker placement repeatability, and rigid segment assumptions. Models using intra-cortical bone pins circumvent these errors, but their invasive nature has limited their application to research only. Radiographic models reporting gait kinematics currently analyze progressive static foot positions and do not include dynamics. The goal of this study was to determine the feasibility of using fluoroscopy to measure in vivo intra-foot dynamics of the hindfoot during the stance phase of gait. The developed fluoroscopic system was synchronized to a standard motion analysis system which included a multi-axis force platform. Custom algorithms were created to translate points of interest from 2D fluoroscopic image space to global tri-axial space. From these translated points of interest, a hindfoot specific model was developed to quantify sagittal plane talocrural and subtalar dynamics. The new hindfoot model was evaluated and applied to a pilot population of thirteen healthy adults during barefoot and toe-only rocker walking conditions. The barefoot kinematic and kinetic results compared favorably with barefoot dynamics reported by other authors. As a result of the barefoot study, it was concluded that inter- subject variability in sagittal plane kinematics was higher for the talocrural joint than the subtalar joint. The toe-only rocker analysis was the first report of hindfoot kinematics within a rocker sole shoe modification. Hindfoot kinematic inter-subject variability was significantly lower in the toe-only rocker condition when compared to barefoot results. This study represents the first use of fluoroscopy to quantify in vivo intra-foot dynamics during the stance phase of gait. Talocrural and subtalar dynamics of healthy adult subjects are reported. The technology developed for this study is capable of examining soft tissue and bony abnormalities associated with the pathologic foot. Based on the overall results of this study, it is recommended that development continue for further analysis within the clinical environment, and examination of complex in vivo foot and ankle dynamics. i ACKNOWLEDGMENTS Benjamin D. McHenry, B.S. The list of people who have guided my journey towards the completion of this dissertation is far too long to be succinctly made. The experience has been a truly humbling one. While proud of the personal accomplishment, it is with regret that only my name adorns the cover of this text. I would like to thank my dissertation director Dr. Gerald Harris, a teacher and mentor whose influence on my life has been far beyond academic. I am grateful for the ability to seek his council as I begin my career. I would additionally like to thank the other members of my dissertation committee—Dr. Jason Long, Dr. Philip Voglewede, Dr. Taly Gilat-Schmidt, and Dr. Peter Smith. Your wide spectrum of expertise in the field illuminated my path, and your encouragement during the final few months was invaluable. I would like to thank my best friend Edyta Brania, a woman who continues to show me the true meaning of strength. I would additionally like to thank Bill Powers, a teacher and friend whose fellowship has been cherished as I trudge the road of happy destiny. Finally, I would like to thank my family for their unconditional love and encouragement—my father Richard, my brother Calen, and my sister Colleen. Above all, I would like to thank my mother Petronella, a woman whose support for me goes far beyond maternal. ii TABLE OF CONTENTS ACKNOWLEDGMENTS ................................................................................................... i LIST OF TABLES .............................................................................................................. v LIST OF FIGURES ........................................................................................................... vi 1. Introduction .............................................................................................................. 1 1.1 Statement of Problem ....................................................................................... 3 1.2 External Marker Based Models ........................................................................ 3 1.2.1 Skin Motion Artifact ................................................................................. 4 1.2.2 Marker Placement Sensitivity ................................................................... 5 1.2.3 Rigid Segment Assumption ....................................................................... 7 1.3 Bone Marker Based Models ............................................................................. 8 1.3.1 Invasive Nature ......................................................................................... 9 1.3.2 Gait Pattern Alteration .............................................................................. 9 1.4 Fluoroscopic Models ...................................................................................... 10 1.4.1 Anatomic Limitations .............................................................................. 11 1.4.2 Fluoroscopic Technology ........................................................................ 12 1.4.3 Foot and Ankle Fluoroscopy ................................................................... 13 1.5 Hindfoot Specific Modeling ........................................................................... 14 1.5.1 Axes of Motion........................................................................................ 14 1.5.2 Kinematic Methodologies ....................................................................... 15 1.6 Kinetic Modeling ............................................................................................ 17 1.6.1 Force Measurement Technology ............................................................. 17 1.6.2 Body Segment Parameters ...................................................................... 19 1.7 Hypotheses and Specific Aims ....................................................................... 20 2. A Model for Assessment of In vivo Hindfoot Motion During Gait .................... 22 2.1 Introduction .................................................................................................... 22 2.2 Materials and Methods ................................................................................... 24 2.2.1 System Configuration .............................................................................. 24 2.2.2 System Synchronization .......................................................................... 26 2.2.3 Image Construction ................................................................................. 26 2.2.4 Global Referencing ................................................................................. 27 iii 2.2.5 Kinematic Model ..................................................................................... 28 2.2.6 Kinematic Model Sensitivity ................................................................... 30 2.2.7 Kinetic Model .......................................................................................... 31 2.2.8 Body Segment Parameters ...................................................................... 34 2.2.9 Subject Selection ..................................................................................... 35 2.3 Results ............................................................................................................ 36 2.3.1 Global Referencing ................................................................................. 36 2.3.2 Joint Kinematics ...................................................................................... 37 2.3.3 Kinematic Model Sensitivity ................................................................... 38 2.3.4 Joint Kinetics ........................................................................................... 39 2.3.5 Kinetic Body Segment Parameter Effects ............................................... 40 2.4 Discussion ....................................................................................................... 41 2.5 Conclusion .....................................................................................................
Recommended publications
  • Locomotor Training with Partial Body Weight Support in Spinal Cord Injury Rehabilitation: Literature Review
    doi: ISSN 0103-5150 Fisioter. Mov., Curitiba, v. 26, n. 4, p.página 907-920, set./dez. 2013 Licenciado sob uma Licença Creative Commons [T] Treino locomotor com suporte parcial de peso corporal na reabilitação da lesão medular: revisão da literatura [I] Locomotor training with partial body weight support in spinal cord injury rehabilitation: literature review [A] Cristina Maria Rocha Dutra[a], Cynthia Maria Rocha Dutra[b], Auristela Duarte de Lima Moser[c], Elisangela Ferretti Manffra[c] [a] Mestranda do Programa de Pós-Graduação em Tecnologia em Saúde da Pontiícia Universidade Católica do Paraná (PUCPR), Curitiba, PR - Brasil, e-mail: [email protected] [b] Professora mestre da Universidade Tuiuti do PR - Curitiba, Paraná, Brasil, e-mail: [email protected] [c] Professoras doutoras do Programa de Pós-Graduação em Tecnologia em Saúde da Pontiícia Universidade Católica do Paraná, Curitiba, P - Brasil, e-mails: [email protected], [email protected] [R] Resumo Introdução: O treino locomotor com suporte de peso corporal (TLSP) é utilizado há aproximadamente 20 anos no campo da reabilitação em pacientes que sofrem de patologias neurológicas. O TLSP favorece melhoras osteomusculares, cardiovasculares e psicológicas, pois desenvolve ao máximo o potencial residual do orga- nismo, proporcionando a reintegração na convivência familiar, proissional e social. Objetivo: Identiicar as principais modalidades de TLSP e seus parâmetros de avaliação com a inalidade de contribuir com o esta- belecimento de evidências coniáveis para as práticas reabilitativas de pessoas com lesão medular. Materiais e métodos: Foram analisados artigos originais, publicados entre 2000 e 2011, que envolvessem treino de marcha após a lesão medular, com ou sem suporte parcial de peso corporal, e tecnologias na assistência do treino, como biofeedback e estimulação elétrica funcional, entre outras.
    [Show full text]
  • Multi-Segment Foot Models and Their Use in Clinical Populations
    Gait & Posture 69 (2019) 50–59 Contents lists available at ScienceDirect Gait & Posture journal homepage: www.elsevier.com/locate/gaitpost Review Multi-segment foot models and their use in clinical populations T ⁎ Alberto Leardinia,1, Paolo Caravaggia, ,1, Tim Theologisb,2, Julie Stebbinsb,2 a Movement Analysis Laboratory, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy b Oxford Gait Laboratory, Nuffield Orthopaedic Centre, Oxford, UK ARTICLE INFO ABSTRACT Keywords: Background: Many multi-segment foot models based on skin-markers have been proposed for in-vivo kinematic Foot joints analysis of foot joints. It remains unclear whether these models have developed far enough to be useful in clinical Kinematics populations. The present paper aims at reviewing these models, by discussing major methodological issues, and Multisegment foot models analyzing relevant clinical applications. Clinical gait analysis Research question: Can multi-segment foot models be used in clinical populations? Foot pathologies Methods: Pubmed and Google Scholar were used as the main search engines to perform an extensive literature search of papers reporting definition, validation or application studies of multi-segment foot models. The search keywords were the following: ‘multisegment’; ‘foot’; ‘model’; ‘kinematics’, ‘joints’ and ‘gait’. Results: More than 100 papers published between 1991 and 2018 were identified and included in the review. These studies either described a technique or reported a clinical application of one of nearly 40 models which differed according to the number of segments, bony landmarks, marker set, definition of anatomical frames, and convention for calculation of joint rotations. Only a few of these models have undergone robust validation studies. Clinical application papers divided by type of assessment revealed that the large majority of studies were a cross-sectional comparison of a pathological group to a control population.
    [Show full text]
  • Rethinking the Evolution of the Human Foot: Insights from Experimental Research Nicholas B
    © 2018. Published by The Company of Biologists Ltd | Journal of Experimental Biology (2018) 221, jeb174425. doi:10.1242/jeb.174425 REVIEW Rethinking the evolution of the human foot: insights from experimental research Nicholas B. Holowka* and Daniel E. Lieberman* ABSTRACT presumably owing to their lack of arches and mobile midfoot joints Adaptive explanations for modern human foot anatomy have long for enhanced prehensility in arboreal locomotion (see Glossary; fascinated evolutionary biologists because of the dramatic differences Fig. 1B) (DeSilva, 2010; Elftman and Manter, 1935a). Other studies between our feet and those of our closest living relatives, the great have documented how great apes use their long toes, opposable apes. Morphological features, including hallucal opposability, toe halluces and mobile ankles for grasping arboreal supports (DeSilva, length and the longitudinal arch, have traditionally been used to 2009; Holowka et al., 2017a; Morton, 1924). These observations dichotomize human and great ape feet as being adapted for bipedal underlie what has become a consensus model of human foot walking and arboreal locomotion, respectively. However, recent evolution: that selection for bipedal walking came at the expense of biomechanical models of human foot function and experimental arboreal locomotor capabilities, resulting in a dichotomy between investigations of great ape locomotion have undermined this simple human and great ape foot anatomy and function. According to this dichotomy. Here, we review this research, focusing on the way of thinking, anatomical features of the foot characteristic of biomechanics of foot strike, push-off and elastic energy storage in great apes are assumed to represent adaptations for arboreal the foot, and show that humans and great apes share some behavior, and those unique to humans are assumed to be related underappreciated, surprising similarities in foot function, such as to bipedal walking.
    [Show full text]
  • Gait Changes During Exhaustive Running
    University of Massachusetts Amherst ScholarWorks@UMass Amherst Masters Theses Dissertations and Theses March 2016 Gait Changes During Exhaustive Running Nathaniel I. Smith University of Massachusetts Amherst Follow this and additional works at: https://scholarworks.umass.edu/masters_theses_2 Part of the Sports Sciences Commons Recommended Citation Smith, Nathaniel I., "Gait Changes During Exhaustive Running" (2016). Masters Theses. 334. https://doi.org/10.7275/7582860 https://scholarworks.umass.edu/masters_theses_2/334 This Open Access Thesis is brought to you for free and open access by the Dissertations and Theses at ScholarWorks@UMass Amherst. It has been accepted for inclusion in Masters Theses by an authorized administrator of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. GAIT CHANGES DURING EXHAUSTIVE RUNNING A Thesis Presented by NATHANIEL SMITH Submitted to the Graduate School of the University of Massachusetts Amherst in partial fulfillment of the requirements for the deGree of MASTER OF SCIENCE February 2016 Department of KinesioloGy © Copyright by Nathaniel Smith 2016 All RiGhts Reserved GAIT CHANGES DURING EXHAUSTIVE RUNNING A Thesis Presented by NATHANIEL SMITH Approved as to style and content by: _______________________________________ Brian R. UmberGer, Chair _______________________________________ Graham E. Caldwell, Member _______________________________________ Wes R. Autio, Member __________________________________________ Catrine Tudor-Locke, Department Chair Kinesiology ABSTRACT GAIT CHANGES DURING EXHAUSTIVE RUNNING FEBRUARY 2016 NATHANIEL SMITH, B.S. WESTERN WASHINGTON UNIVERSITY M.S. UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Dr. Brian R. UmberGer Runners adopt altered gait patterns as they fatigue, and literature indicates that these fatiGued Gait patterns may increase energy expenditure and susceptibility to certain overuse injuries (Derrick et al., 2002; van Gheluwe & Madsen, 1997).
    [Show full text]
  • Alexander 2013 Principles-Of-Animal-Locomotion.Pdf
    .................................................... Principles of Animal Locomotion Principles of Animal Locomotion ..................................................... R. McNeill Alexander PRINCETON UNIVERSITY PRESS PRINCETON AND OXFORD Copyright © 2003 by Princeton University Press Published by Princeton University Press, 41 William Street, Princeton, New Jersey 08540 In the United Kingdom: Princeton University Press, 3 Market Place, Woodstock, Oxfordshire OX20 1SY All Rights Reserved Second printing, and first paperback printing, 2006 Paperback ISBN-13: 978-0-691-12634-0 Paperback ISBN-10: 0-691-12634-8 The Library of Congress has cataloged the cloth edition of this book as follows Alexander, R. McNeill. Principles of animal locomotion / R. McNeill Alexander. p. cm. Includes bibliographical references (p. ). ISBN 0-691-08678-8 (alk. paper) 1. Animal locomotion. I. Title. QP301.A2963 2002 591.47′9—dc21 2002016904 British Library Cataloging-in-Publication Data is available This book has been composed in Galliard and Bulmer Printed on acid-free paper. ∞ pup.princeton.edu Printed in the United States of America 1098765432 Contents ............................................................... PREFACE ix Chapter 1. The Best Way to Travel 1 1.1. Fitness 1 1.2. Speed 2 1.3. Acceleration and Maneuverability 2 1.4. Endurance 4 1.5. Economy of Energy 7 1.6. Stability 8 1.7. Compromises 9 1.8. Constraints 9 1.9. Optimization Theory 10 1.10. Gaits 12 Chapter 2. Muscle, the Motor 15 2.1. How Muscles Exert Force 15 2.2. Shortening and Lengthening Muscle 22 2.3. Power Output of Muscles 26 2.4. Pennation Patterns and Moment Arms 28 2.5. Power Consumption 31 2.6. Some Other Types of Muscle 34 Chapter 3.
    [Show full text]
  • Identification of Gait-Cycle Phases for Prosthesis Control
    biomimetics Article Identification of Gait-Cycle Phases for Prosthesis Control Raffaele Di Gregorio * and Lucas Vocenas LaMaViP, Department of Engineering, University of Ferrara, 44122 Ferrara, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-0532974828 Abstract: The major problem with transfemoral prostheses is their capacity to compensate for the loss of the knee joint. The identification of gait-cycle phases plays an important role in the control of these prostheses. Such control is completely up to the patient in passive prostheses or partly facilitated by the prosthesis in semiactive prostheses. In both cases, the patient recovers his/her walking ability through a suitable rehabilitation procedure that aims at recreating proprioception in the patient. Understanding proprioception passes through the identification of conditions and parameters that make the patient aware of lower-limb body segments’ postures, and the recognition of the current gait-cycle phase/period is the first step of this awareness. Here, a proposal is presented for the identification of the gait-cycle phases/periods under different walking conditions together with a control logic for a possible active/semiactive prosthesis. The proposal is based on the detection of different gait-cycle events as well as on different walking conditions through a load sensor, which is implemented by analyzing the variations in some gait parameters. The validation of the proposed method is done by using gait-cycle data present in the literature. The proposal assumes the prosthesis is equipped with an energy-storing foot without mobility. Keywords: above-knee amputee; prosthesis; gait cycle; proprioception; lower-limb control Citation: Di Gregorio, R.; Vocenas, L.
    [Show full text]
  • Human Identification by Gait Analysis
    Human Identification by Gait Analysis Anuradha Annadhorai, Eric Guenterberg, Jaime Barnes, Kruthika Haraga and Roozbeh Jafari Department of Computer Engineering The University of Texas at Dallas, Richardson, TX – 75083, USA {axm078000, kkh071000, jmb077000, etg062000, rjafari} @utdallas.edu ABSTRACT distinguish one person from another. Gait-based Human movement monitoring using wireless sensors has identification can be used separately or in conjunction with become an important area of research today. The use of other biometrics to establish the identity of a person. It can wireless sensors in human identification is a relatively new also be used to secure portable devices such as mobile idea with interesting applications in portable device phones, wearable computers, intelligent clothing and other security and user recognition. In this paper, we describe a smart devices [3]. Other methods proposed for portable realtime wireless sensor system based on inexpensive device security, such as signature- and fingerprint-based inertial sensors that uses gait analysis to uniquely identify techniques, are explicit and require user attention. In subjects. contrast, gait-based human identification is implicit and unobtrusive. Categories and Subject Descriptors I.5.4 [Pattern Recognition]: Applications – Waveform Analysis We will demonstrate a wearable sensor system that can be J.3 [Life and Medical Sciences]: Health used for human identification based on gait analysis. C.3 [Special-Purpose Application-Based Systems]: Real-time Section 2 discusses related work, section 3 describes our and Embedded Systems system architecture, section 4 describes the gait General Terms identification application, and section 5 describes the demo Design, Experimentation, Security, Human Factors. setup. Keywords 2. RELATED WORK Gait Analysis, Segmentation, Biometrics, Body Sensor Networks.
    [Show full text]
  • Quantitative and Qualitative Running Gait Analysis Through an Innovative Video-Based Approach
    sensors Communication Quantitative and Qualitative Running Gait Analysis through an Innovative Video-Based Approach Laura Simoni 1,2, Alessandra Scarton 3, Claudio Macchi 2, Federico Gori 3, Guido Pasquini 2,* and Silvia Pogliaghi 1 1 Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37129 Verona, Italy; [email protected] (L.S.); [email protected] (S.P.) 2 IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy; claudio.macchi@unifi.it 3 Microgate SRL, 39100 Bolzano, Italy; [email protected] (A.S.); [email protected] (F.G.) * Correspondence: [email protected] Abstract: Quantitative and qualitative running gait analysis allows the early identification and the longitudinal monitoring of gait abnormalities linked to running-related injuries. A promising calibration- and marker-less video sensor-based technology (i.e., Graal), recently validated for walking gait, may also offer a time- and cost-efficient alternative to the gold-standard methods for running. This study aim was to ascertain the validity of an improved version of Graal for quantitative and qualitative analysis of running. In 33 healthy recreational runners (mean age 41 years), treadmill running at self-selected submaximal speed was simultaneously evaluated by a validated photosensor system (i.e., Optogait—the reference methodology) and by the video analysis of a posterior 30-fps video of the runner through the optimized version of Graal. Graal is video analysis software that provides a spectral analysis of the brightness over time for each pixel of the video, in order to identify its frequency contents. The two main frequencies of variation of the pixel’s brightness (i.e., Citation: Simoni, L.; Scarton, A.; F1 and F2) correspond to the two most important frequencies of gait (i.e., stride frequency and Macchi, C.; Gori, F.; Pasquini, G.; cadence).
    [Show full text]
  • Gait and Posture – Assessment in General Practice
    THEME Musculoskeletal medicine Gait and posture Assessment in general practice BACKGROUND A basic analysis of a patient’s gait and posture provides information about the body and the capability of the musculoskeletal system to adjust to physical stressors. An understanding of normal gait and posture is essential for Kent Sweeting identifying and treating musculoskeletal pain. BHlthSc(Pod)(Hons), MAPodA, OBJECTIVE is a podiatrist, Brisbane, and a This article discusses normal gait and how to assess gait. It also outlines common musculoskeletal conditions and their researcher, Griffith University, Queensland. k.sweeting@ association with abnormal gait and posture. General practitioners can detect faulty postural syndromes and abnormal griffith.edu.au gait by visual scanning and awareness of pain referral patterns. Michael Mock DISCUSSION MBBS, MMed(PhysMed), Awareness of pain that can arise from faulty gait and posture will assist GPs to shift their focus away from structural FRACGP, FACPM, is a general diagnoses and unhelpful radiological investigations. The GP can become an effective facilitator of the prevention and practitioner, Wetherill Park rehabilitation of pain problems where abnormal gait and posture are found to be a main contributing factor. and St Leonards, New South Wales. Gait analysis is comparable to an X-ray or blood test; 40% respectively.5 Figure 1 summarises all events and it is a powerful investigative tool, which together with the timing of just over one complete gait cycle. When the patient history and physical examination, may examining gait, clinicians can fall into the trap of solely be used to assess and diagnose patients suffering focusing on the stance phase and miss vital pieces of musculoskeletal pain, and predict successful treatment information that can be gathered from the patient’s swing of these pathologies.1–3 Understanding the basic phase (eg.
    [Show full text]
  • Foot for Thought: Identifying Causes of Foot and Leg Pain in Rural Madagascar To
    Foot for Thought: Identifying Causes of Foot and Leg Pain in Rural Madagascar to Improve Musculoskeletal Health Noor E Tasnim Advised by Daniel Schmitt, PhD1, Angel Zeininger, PhD1, and Charles Nunn, PhD1,2 Spring 2018 Evolutionary Anthropology Committee: Daniel Schmitt, PhD,1 Angel Zeininger, PhD1 Steven Churchill, PhD1 1Department of Evolutionary Anthropology, Duke University, Durham, N.C., USA 2Duke Global Health Institute, Duke University, Durham, N.C., USA This Graduation with Distinction Honors Thesis is submitted in partial fulfillment of the requirements for Graduation with Distinction in Evolutionary Anthropology and Global Health. Duke University – Trinity College of Arts and Sciences Abstract Incidence of musculoskeletal health disorders is increasing in Madagascar. Foot pain in the Malagasy may be related to daily occupational activities or foot shape and lack of footwear. Our study tests hypotheses concerning the cause of foot pain in male and female Malagasy populations and its effects on gait kinematics. The study was conducted in Mandena, Madagascar. We obtained 89 participants’ height, mass, and age from a related study (nmale = 41, nfemale = 48). We collected self-report data on daily activity and foot and lower limb pain. A modified Revised Foot Function Index (FFI-R) assessed pain, difficulty, and limitation of activities because of reported foot pain (total score = 27). We quantified ten standard foot shape measures. Participants walked across a force platform at self-selected speeds while being videorecorded at 120 fps. Females reported higher FFI-R scores (p = 0.029), spending more hours on their feet (p = 0.0184), and had larger BMIs (p = 0.0001) than males.
    [Show full text]
  • Purpose Pathological Gait Objectives
    Primary, Secondary and Compensatory Gait Deviations in CP Disclosure Information AACPDM 71st Annual Meeting | September 13-16, 2017 Speaker Names: Sylvia Ounpuu, MSc and Kristan Pierz, MD Differentiating Between Primary, Secondary Disclosure of Relevant Financial Relationships: and Compensatory Mechanisms in Gait in We have no financial relationships to disclose. Persons with Cerebral Palsy Disclosure of Off-Label and/or investigative uses: We will not discuss off label use and/or investigational use in our presentation. Sylvia Õunpuu, MSc and Kristan Pierz, MD Center for Motion Analysis Division of Orthopaedics Connecticut Children’s Medical Center Farmington, Connecticut Purpose Pathological Gait To describe gait pathology in CP in terms of primary, secondary and compensatory deviations. video Compensation Objectives: Secondary Deviation • Define primary and secondary deviations and Primary compensations seen in gait Deviation Primary • Differentiate between primary deviations that Deviation need to be treated and other gait deviations that Primary Deviation will resolve if the primary problem is addressed Primary Secondary • Understand common multi-level gait patterns in Deviation Deviation CP • Describe how motion analysis can help us Compensation understand primary vs. secondary gait deviations Primary Deviation AACPDM 2017 - IC #3 1 Primary, Secondary and Compensatory Gait Deviations in CP Outline Angle definition • Review of fundamentals for joint kinematics • The specific body including angle definitions and plotting segments that
    [Show full text]
  • Optogait User Manual IT
    User Manual Manual Version 1.12.2 Software Version 1.12 Contents 1 Device Functions and Major Features ...................................................................................................... 7 Kit Configuration ........................................................................................................................................................ 9 1.1 Single Meter ........................................................................................................................ 10 1.1.1 Jump Test ..................................................................................................................... 10 1.1.2 Tapping/Frequency Test .............................................................................................. 10 1.1.3 Reaction Test ................................................................................................................ 10 1.2 Single Meter on Treadmill ................................................................................................... 11 1.2.1 Gait Analysis, Run Analysis ........................................................................................... 11 1.3 The Modular System ........................................................................................................... 12 1.3.1 Gait Test ....................................................................................................................... 12 1.3.2 Running Test................................................................................................................
    [Show full text]