Reporting Clinical Gait Analysis Data

2011 ◽  
pp. 1327-1339
Author(s):  
Raymond White ◽  
Robert Noble
Keyword(s):  
Gait Analysis ◽  
Treatment Plan ◽  
Treatment Options ◽  
Analysis Data ◽  
Patient Treatment ◽  
Special Investigation ◽  
Interactive Display ◽  
Visualization Software ◽  
Complex Process ◽  
Clinical Gait Analysis

Gait analysis is a special investigation that can assist clinical staff in the decision making process regarding treatment options for patients with walking difficulties. Interpretation of gait analysis data recorded from 3D motion capture systems is a time consuming and complex process. This chapter describes techniques and a software program that can be used to simplify interpretation of gait data. It can be viewed with an interactive display and a gait report can be produced more quickly with the key results highlighted. This will allow referring clinicians to integrate the relevant gait measurements and observations and to formulate the patient treatment plan. Although an abbreviated analysis may be useful for clinicians, a full explanation with the key features highlighted is helpful for movement scientists. Visualization software has been developed that directs the clinician and scientist to the relevant parts of the data simplifying the analysis and increasing insight.

Reporting Clinical Gait Analysis Data

2011 ◽  
pp. 58-72
Author(s):  
Raymond White ◽  
Robert Noble
Keyword(s):  
Gait Analysis ◽  
Treatment Plan ◽  
Treatment Options ◽  
Analysis Data ◽  
Patient Treatment ◽  
Special Investigation ◽  
Interactive Display ◽  
Visualization Software ◽  
Complex Process ◽  
Clinical Gait Analysis

Gait analysis is a special investigation that can assist clinical staff in the decision making process regarding treatment options for patients with walking difficulties. Interpretation of gait analysis data recorded from 3D motion capture systems is a time consuming and complex process. This chapter describes techniques and a software program that can be used to simplify interpretation of gait data. It can be viewed with an interactive display and a gait report can be produced more quickly with the key results highlighted. This will allow referring clinicians to integrate the relevant gait measurements and observations and to formulate the patient treatment plan. Although an abbreviated analysis may be useful for clinicians, a full explanation with the key features highlighted is helpful for movement scientists. Visualization software has been developed that directs the clinician and scientist to the relevant parts of the data simplifying the analysis and increasing insight.

scholarly journals Intra- and Interobserver Reliability Comparison of Clinical Gait Analysis Data between Two Gait Laboratories

2020 ◽  
Vol 10 (15) ◽  
pp. 5068
Author(s):  
René Schwesig ◽  
Regina Wegener ◽  
Christof Hurschler ◽  
Kevin Laudner ◽  
Frank Seehaus
Keyword(s):  
Gait Analysis ◽  
Interobserver Reliability ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Analysis Data ◽  
Individual Variability ◽  
Intraobserver Reliability ◽  
Single Measure ◽  
Ankle Kinematics ◽  
Clinical Gait Analysis

Comparing clinical gait analysis (CGA) data between clinical centers is critical in the treatment and rehabilitation progress. However, CGA protocols and system configurations, as well as choice of marker sets and individual variability during marker attachment, may affect the comparability of data. The aim of this study was to evaluate reliability of CGA data collected between two gait analysis laboratories. Three healthy subjects underwent a standardized CGA protocol at two separate centers. Kinematic data were captured using the same motion capturing systems (two systems, same manufacturer, but different analysis software and camera configurations). The CGA data were analyzed by the same two observers for both centers. Interobserver reliability was calculated using single measure intraclass correlation coefficients (ICC). Intraobserver as well as between-laboratory intraobserver reliability were assessed using an average measure ICC. Interobserver reliability for all joints (ICCtotal = 0.79) was found to be significantly lower (p < 0.001) than intraobserver reliability (ICCtotal = 0.93), but significantly higher (p < 0.001) than between-laboratory intraobserver reliability (ICCtotal = 0.55). Data comparison between both centers revealed significant differences for 39% of investigated parameters. Different hardware and software configurations impact CGA data and influence between-laboratory comparisons. Furthermore, lower intra- and interobserver reliability were found for ankle kinematics in comparison to the hip and knee, particularly for interobserver reliability.

Aesthetic Crown Lengthening for Gummy Smile Treatment Related to Altered Passive Eruption: A Case Report

2020 ◽  
Vol 23 (2) ◽  
pp. 28-33
Author(s):  
Indira Apriantika ◽  
Agung Krismariono
Keyword(s):  
Case Report ◽  
Treatment Plan ◽  
Patient Treatment ◽  
Treatment Results ◽  
Dental Hospital ◽  
Proper Diagnosis ◽  
The Aesthetic ◽  
Smile Aesthetics ◽  
Crown Lengthening ◽  
Gummy Smile

A healthy and beautiful smile can affect appearance and confidence. One of the aesthetic problems in dentistry that is often complained of by patients is excessive gingival display (gummy smile). The excessive gingival display can be caused by several factors, one of which is altered passive eruption (APE). One of the treatments to correct gummy smile related to APE is crown lengthening. Crown lengthening can be with bone reduction (gingivectomy with bone reduction) or without bone reduction (gingivectomy). Crown Lengthening with bone reduction is a surgical procedure that aims to maintain the dentogingival complex and to improve smile aesthetics. The purpose of this case report is to determine the crown lengthening with bone reduction (gingivectomy with bone reduction) procedure as a gummy smile treatment related to APE .A23-year-old female patient, came to Dental Hospital of Universitas Airlangga with complaints of her upper gum which not in the same length and the teeth looked short, she considered her smile was less aesthetic. After conducting analyses relating to aesthetics and periodontal tissue, crown lengthening with bone reduction was chosen for this patient treatment. The treatment results are quite good, visible gingival margins that matched the gingival zenith and improved patient's smile profile. APE as the etiology of patient's gummy smile can be corrected. There are no post-surgical complications such as excessive pain and infection. A proper diagnosis, treatment plan, and good techniques can produce a harmonious smile on the patient.

Agreement and consistency of five different clinical gait analysis systems in the assessment of spatiotemporal gait parameters

2021 ◽  
Vol 85 ◽  
pp. 55-64
Author(s):  
Julian Rudisch ◽  
Thomas Jöllenbeck ◽  
Lutz Vogt ◽  
Thomas Cordes ◽  
Thomas Jürgen Klotzbier ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Gait Parameters ◽  
Clinical Gait Analysis

scholarly journals The effects of a preoperative multidisciplinary conference on outcomes for high-risk patients with challenging surgical treatment options: a retrospective study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Masayoshi Koike ◽  
Mie Yoshimura ◽  
Yasushi Mio ◽  
Shoichi Uezono
Keyword(s):  
Patient Safety ◽  
Retrospective Study ◽  
High Risk ◽  
Treatment Plan ◽  
Treatment Options ◽  
High Risk Patients ◽  
Appropriate Treatment ◽  
Risk Patients ◽  
Treatment Plans ◽  
Multidisciplinary Conference

Abstract Background Surgical options for patients vary with age and comorbidities, advances in medical technology and patients’ wishes. This complexity can make it difficult for surgeons to determine appropriate treatment plans independently. At our institution, final decisions regarding treatment for patients are made at multidisciplinary meetings, termed High-Risk Conferences, led by the Patient Safety Committee. Methods In this retrospective study, we assessed the reasons for convening High-Risk Conferences, the final decisions made and treatment outcomes using conference records and patient medical records for conferences conducted at our institution from April 2010 to March 2018. Results A total of 410 High-Risk Conferences were conducted for 406 patients during the study period. The department with the most conferences was cardiovascular surgery (24%), and the reasons for convening conferences included the presence of severe comorbidities (51%), highly difficult surgeries (41%) and nonmedical/personal issues (8%). Treatment changes were made for 49 patients (12%), including surgical modifications for 20 patients and surgery cancellation for 29. The most common surgical modification was procedure reduction (16 patients); 4 deaths were reported. Follow-up was available for 21 patients for whom surgery was cancelled, with 11 deaths reported. Conclusions Given that some change to the treatment plan was made for 12% of the patients discussed at the High-Risk Conferences, we conclude that participants of these conferences did not always agree with the original surgical plan and that the multidisciplinary decision-making process of the conferences served to allow for modifications. Many of the modifications involved reductions in procedures to reflect a more conservative approach, which might have decreased perioperative mortality and the incidence of complications as well as unnecessary surgeries. High-risk patients have complex issues, and it is difficult to verify statistically whether outcomes are associated with changes in course of treatment. Nevertheless, these conferences might be useful from a patient safety perspective and minimize the potential for legal disputes.

Reliability of a simplified kinematic model for clinical gait analysis

2020 ◽  
Vol 81 ◽  
pp. 281-282
Author(s):  
S. Pitarch-Corresa ◽  
C. Herrera-Ligero ◽  
J.Y. Torres-Villanueva ◽  
E. Medina-Ripoll ◽  
F. Parra-González ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Kinematic Model ◽  
Clinical Gait Analysis

scholarly journals Deep Convolutional and LSTM Networks on Multi-Channel Time Series Data for Gait Phase Recognition

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 789
Author(s):  
David Kreuzer ◽  
Michael Munz
Keyword(s):  
Gait Analysis ◽  
Time Series Data ◽  
Low Cost ◽  
Analysis Data ◽  
Gait Disorders ◽  
Human Gait ◽  
Series Data ◽  
Ageing Society ◽  
Time Motion ◽  
Gait Phase

With an ageing society comes the increased prevalence of gait disorders. The restriction of mobility leads to a considerable reduction in the quality of life, because associated falls increase morbidity and mortality. Consideration of gait analysis data often alters surgical recommendations. For that reason, the early and systematic diagnostic treatment of gait disorders can spare a lot of suffering. As modern gait analysis systems are, in most cases, still very costly, many patients are not privileged enough to have access to comparable therapies. Low-cost systems such as inertial measurement units (IMUs) still pose major challenges, but offer possibilities for automatic real-time motion analysis. In this paper, we present a new approach to reliably detect human gait phases, using IMUs and machine learning methods. This approach should form the foundation of a new medical device to be used for gait analysis. A model is presented combining deep 2D-convolutional and LSTM networks to perform a classification task; it predicts the current gait phase with an accuracy of over 92% on an unseen subject, differentiating between five different phases. In the course of the paper, different approaches to optimize the performance of the model are presented and evaluated.

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