scholarly journals Test-Retest Reliability of an Automated Infrared-Assisted Trunk Accelerometer-Based Gait Analysis System

Sensors ◽  
2016 ◽  
Vol 16 (8) ◽  
pp. 1156 ◽  
Author(s):  
Chia-Yu Hsu ◽  
Yuh-Show Tsai ◽  
Cheng-Shiang Yau ◽  
Hung-Hai Shie ◽  
Chu-Ming Wu
Keyword(s):  
Gait Analysis ◽  
Retest Reliability ◽  
Analysis System ◽  
Test Retest Reliability

scholarly journals Test-Retest Reliability of PODOSmart® Gait Analysis Insoles

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7532
Author(s):  
Andreas Loukovitis ◽  
Efthymios Ziagkas ◽  
Dimitrios Xypolias Zekakos ◽  
Alexandros Petrelis ◽  
George Grouios
Keyword(s):  
Gait Analysis ◽  
Cost Effective ◽  
Human Locomotion ◽  
Clinical Settings ◽  
Analysis Tool ◽  
Healthy Male ◽  
Retest Reliability ◽  
Analysis System ◽  
Test Retest Reliability

It is recognized that gait analysis is a powerful tool used to capture human locomotion and quantify the related parameters. PODOSmart® insoles have been designed to provide accurate measurements for gait analysis. PODOSmart® insoles are lightweight, slim and cost-effective. A recent publication presented the characteristics and data concerning the validity of PODOSmart® insoles in gait analysis. In literature, there is still no evidence about the repeatability of PODOSmart® gait analysis system. Such evidence is essential in order to use this device in both research and clinical settings. The aim of the present study was to assess the repeatability of PODOSmart® system. In this context, it was hypothesized that the parameters of gait analysis captured by PODOSmart® would be repeatable. In a sample consisting of 22 healthy male adults, participants performed two walking trials on a six-meter walkway. The ICC values for 28 gait variables provided by PODOSmart® indicated good to excellent test-retest reliability, ranging from 0.802 to 0.997. The present findings confirm that PODOSmart® gait analysis insoles present excellent repeatability in gait analysis parameters. These results offer additional evidence regarding the reliability of this gait analysis tool.

Construct validity and test-retest reliability of a free mobile application for spatio-temporal gait analysis in Parkinson’s disease patients

2020 ◽  
Vol 79 ◽  
pp. 86-91
Author(s):  
Sergio Clavijo-Buendía ◽  
Francisco Molina-Rueda ◽  
Patricia Martín-Casas ◽  
Paulina Ortega-Bastidas ◽  
Esther Monge-Pereira ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Construct Validity ◽  
Gait Analysis ◽  
Mobile Application ◽  
Retest Reliability ◽  
Spatio Temporal ◽  
Test Retest Reliability

MOVEMENT MEASUREMENT VALIDITY AND RELIABILITY OF THE IMAGE J PROGRAM FOR KINEMATIC ANALYSIS

2016 ◽  
Vol 16 (08) ◽  
pp. 1640028 ◽  
Author(s):  
JEONG J. LEE ◽  
JOSHUA H. YOU
Keyword(s):  
Motion Analysis ◽  
Kinematic Analysis ◽  
Motion Analysis System ◽  
Validity And Reliability ◽  
Retest Reliability ◽  
Dynamic Movement ◽  
Angle Data ◽  
Hemiparetic Stroke ◽  
Analysis System ◽  
Test Retest Reliability

Background: While advanced motion analysis systems can provide accurate kinematic information, the majorities of motion analysis systems are stationary, expensive and time consuming. Image J is a Java-based image processing program that was originally developed at the National Institutes of Health and has rapidly gained widespread acceptance among rehabilitation specialists as a portable and affordable alternative motion analysis system. However, the validity and reliability of the Image J program have not been well established. Objective: The purpose of this study was to investigate the validity and test–retest reliability of the Image J kinematic analysis system. The Image J kinematic analysis system is designed to produce precise kinematic evidence during normal and pathological static and dynamic movement patterns. Methods: The Image J motion analysis system was concurrently compared with the electrogoniometer system as a reference standard measure by obtaining sagittal kinematic knee joint angle data. Results: Image J motion analysis system measurement revealed outstanding validity ([Formula: see text] and [Formula: see text]). The test–retest reliability for kinematic knee angle data showed remarkable consistency (Cronbach’s [Formula: see text]). Conclusions: This study provides the first evidence highlighting the Image J kinematic analysis system’s excellent validity and reliability for evaluating human kinematic movements in elderly people with hemiparetic stroke.

Test–retest reliability of trunk accelerometric gait analysis

2004 ◽  
Vol 19 (3) ◽  
pp. 288-297 ◽  
Author(s):  
Marius Henriksen ◽  
H. Lund ◽  
R. Moe-Nilssen ◽  
H. Bliddal ◽  
B. Danneskiod-Samsøe
Keyword(s):  
Gait Analysis ◽  
Retest Reliability ◽  
Test Retest Reliability

scholarly journals Gait Analysis in a Box: A System Based on Magnetometer-Free IMUs or Clusters of Optical Markers with Automatic Event Detection

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3338 ◽  
Author(s):  
Javier Marín ◽  
Teresa Blanco ◽  
Juan de la Torre ◽  
José J. Marín
Keyword(s):  
Gait Analysis ◽  
Body Motion ◽  
Optical Systems ◽  
Measurement Units ◽  
Controlled Environments ◽  
Analysis System ◽  
Optical Markers ◽  
Test Retest Reliability ◽  
Automatic Event Detection ◽  
Full Body

Gait analysis based on full-body motion capture technology (MoCap) can be used in rehabilitation to aid in decision making during treatments or therapies. In order to promote the use of MoCap gait analysis based on inertial measurement units (IMUs) or optical technology, it is necessary to overcome certain limitations, such as the need for magnetically controlled environments, which affect IMU systems, or the need for additional instrumentation to detect gait events, which affects IMUs and optical systems. We present a MoCap gait analysis system called Move Human Sensors (MH), which incorporates proposals to overcome both limitations and can be configured via magnetometer-free IMUs (MH-IMU) or clusters of optical markers (MH-OPT). Using a test–retest reliability experiment with thirty-three healthy subjects (20 men and 13 women, 21.7 ± 2.9 years), we determined the reproducibility of both configurations. The assessment confirmed that the proposals performed adequately and allowed us to establish usage considerations. This study aims to enhance gait analysis in daily clinical practice.

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