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.

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

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

Test–Retest Reliability and the Effects of Walking Speed on Stride Time Variability During Continuous, Overground Walking in Healthy Young Adults

2020 ◽  
pp. 1-7
Author(s):  
Nicholas S. Ryan ◽  
Paul A. Bruno ◽  
John M. Barden
Keyword(s):  
Young Adults ◽  
Walking Speed ◽  
Time Variability ◽  
Clinical Settings ◽  
Stride Time ◽  
Real Difference ◽  
Overground Walking ◽  
Retest Reliability ◽  
Intraclass Correlations ◽  
Test Retest Reliability

Studies have investigated the reliability and effect of walking speed on stride time variability during walking trials performed on a treadmill. The objective of this study was to investigate the reliability of stride time variability and the effect of walking speed on stride time variability, during continuous, overground walking in healthy young adults. Participants completed: (1) 2 walking trials at their preferred walking speed on 1 day and another trial 2 to 4 days later and (2) 1 trial at their preferred walking speed, 1 trial approximately 20% to 25% faster than their preferred walking speed, and 1 trial approximately 20% to 25% slower than their preferred walking speed on a separate day. Data from a waist-mounted accelerometer were used to determine the consecutive stride times for each trial. The reliability of stride time variability outcomes was generally poor (intraclass correlations: .167–.487). Although some significant differences in stride time variability were found between the preferred walking speed, fast, and slow trials, individual between-trial differences were generally below the estimated minimum difference considered to be a real difference. The development of a protocol to improve the reliability of stride time variability outcomes during continuous, overground walking would be beneficial to improve their application in research and clinical settings.

scholarly journals The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1660 ◽  
Author(s):  
Yunru Ma ◽  
Kumar Mithraratne ◽  
Nichola Wilson ◽  
Xiangbin Wang ◽  
Ye Ma ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Gait Analysis ◽  
Motion Analysis ◽  
Poor Correlation ◽  
Analysis Tool ◽  
Calibration Methods ◽  
Pattern Similarity ◽  
Children With Cerebral Palsy ◽  
Analysis System ◽  
Mean Square Errors

The aim of this study is to evaluate if Kinect is a valid and reliable clinical gait analysis tool for children with cerebral palsy (CP), and whether linear regression and long short-term memory (LSTM) recurrent neural network methods can improve its performance. A gait analysis was conducted on ten children with CP, on two occasions. Lower limb joint kinematics computed from the Kinect and a traditional marker-based Motion Analysis system were investigated by calculating the root mean square errors (RMSE), the coefficients of multiple correlation (CMC), and the intra-class correlation coefficients (ICC2,k). Results showed that the Kinect-based kinematics had an overall modest to poor correlation (CMC—less than 0.001 to 0.70) and an angle pattern similarity with Motion Analysis. After the calibration, RMSE on every degree of freedom decreased. The two calibration methods indicated similar levels of improvement in hip sagittal (CMC—0.81 ± 0.10 vs. 0.75 ± 0.22)/frontal (CMC—0.41 ± 0.35 vs. 0.42 ± 0.37) and knee sagittal kinematics (CMC—0.85±0.07 vs. 0.87 ± 0.12). The hip sagittal (CMC—0.97±0.05) and knee sagittal (CMC—0.88 ± 0.12) angle patterns showed a very good agreement over two days. Modest to excellent reliability (ICC2,k—0.45 to 0.93) for most parameters renders it feasible for observing ongoing changes in gait kinematics.

scholarly journals Standardised Assessment of Personality – Abbreviated Scale (SAPAS): Preliminary validation of a brief screen for personality disorder

2003 ◽  
Vol 183 (3) ◽  
pp. 228-232 ◽  
Author(s):  
Paul Moran ◽  
Morven Leese ◽  
Tennyson Lee ◽  
Paul Walters ◽  
Graham Thornicroft ◽  
...  
Keyword(s):  
Personality Disorder ◽  
Psychiatric Patients ◽  
Preliminary Evidence ◽  
Clinical Settings ◽  
Retest Reliability ◽  
Preliminary Validation ◽  
Dsm Iv ◽  
Test Retest Reliability ◽  
Screening Interview ◽  
Brief Screening

BackgroundThere is a need for a brief and simple screen for personality disorders that can be used in routine psychiatric assessments.AimsTo test the concurrent validity and test–retest reliability of a brief screen for personality disorder.MethodSixty psychiatric patients were administered a brief screening interview for personality disorder. On the same day, they were interviewed with an established assessment for DSM–IV personality disorder. Three weeks later, the brief screening interview was repeated in order to examine test–retest reliability.ResultsA score of 3 on the screening interview correctly identified the presence of DSM–IV personality disorder in 90% of participants. The sensitivity and specificity were 0.94 and 0.85 respectively.ConclusionsThe study provides preliminary evidence of the usefulness of the screen in routine clinical settings.

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.

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