A minimum standardized gait analysis protocol: development and implementation by the Shriners Motion Analysis Laboratory network (SMALnet)

Author(s):  
R.B. Davis ◽  
J.R. Davids ◽  
G.E. Gorton ◽  
M. Aiona ◽  
N. Scarborough ◽  
...  
2014 ◽  
Vol 7 (S1) ◽  
Author(s):  
Se won Yoon ◽  
Jeong woo Lee ◽  
Soo ji Park ◽  
Woong sik Park ◽  
Moon jeong Kim

Author(s):  
Gunjan Patel ◽  
Rajani Mullerpatan ◽  
Bela Agarwal ◽  
Triveni Shetty ◽  
Rajdeep Ojha ◽  
...  

Wearable inertial sensor-based motion analysis systems are promising alternatives to standard camera-based motion capture systems for the measurement of gait parameters and joint kinematics. These wearable sensors, unlike camera-based gold standard systems, find usefulness in outdoor natural environment along with confined indoor laboratory-based environment due to miniature size and wireless data transmission. This study reports validation of our developed (i-Sens) wearable motion analysis system against standard motion capture system. Gait analysis was performed at self-selected speed on non-disabled volunteers in indoor ( n = 15) and outdoor ( n = 8) environments. Two i-Sens units were placed at the level of knee and hip along with passive markers (for indoor study only) for simultaneous 3D motion capture using a motion capture system. Mean absolute percentage error (MAPE) was computed for spatiotemporal parameters from the i-Sens system versus the motion capture system as a true reference. Mean and standard deviation of kinematic data for a gait cycle were plotted for both systems against normative data. Joint kinematics data were analyzed to compute the root mean squared error (RMSE) and Pearson’s correlation coefficient. Kinematic plots indicate a high degree of accuracy of the i-Sens system with the reference system. Excellent positive correlation was observed between the two systems in terms of hip and knee joint angles (Indoor: hip 3.98° ± 1.03°, knee 6.48° ± 1.91°, Outdoor: hip 3.94° ± 0.78°, knee 5.82° ± 0.99°) with low RMSE. Reliability characteristics (defined using standard statistical thresholds of MAPE) of stride length, cadence, walking speed in both outdoor and indoor environment were well within the “Good” category. The i-Sens system has emerged as a potentially cost-effective, valid, accurate, and reliable alternative to expensive, standard motion capture systems for gait analysis. Further clinical trials using the i-Sens system are warranted on participants across different age groups.


1997 ◽  
Vol 5 (2) ◽  
pp. 183
Author(s):  
George E. Gorton ◽  
Owen F. Kelly

2019 ◽  
Vol 70 ◽  
pp. 177-185 ◽  
Author(s):  
Bruno Giuseppe Contini ◽  
Elena Bergamini ◽  
Martina Alvini ◽  
Eugenio Di Stanislao ◽  
Giuseppe Di Rosa ◽  
...  

2019 ◽  
Vol 44 (6) ◽  
pp. 607-613
Author(s):  
Andrew Waton ◽  
Sarah Forrest ◽  
Gemma M. Whatling

We developed an optoelectronic motion analysis protocol to measure anatomical and functional ranges of wrist motion in Colles’-type and scaphoid-type splints and casts. The protocol was used to study the restriction of wrist motion in casts and splints in ten healthy volunteers. Scaphoid-type casts were no more restrictive to wrist motion than Colles’-type casts, but casts were significantly more restrictive than removable splints. Removable splints were more restrictive than no immobilization. Results suggest there is no benefit in using scaphoid-type casts rather than Colles’-type casts to reduce wrist motion.


Author(s):  
Sophie Roberts ◽  
Sharon Dixon

Gait analysis describes the process of systematically quantifying mechanical aspects of walking or running to aid in the examination of a patient/client. In the publication Gait Analysis: An Introduction, Whittle (2002) identifies the eye as being the first tool in this assessment, with technology being available to supplement this visual analysis. Technological analysis tools include two-dimensional (2D) video, three-dimensional (3D) motion analysis, pressure plates, and pressure insoles. The application of technology has increased our understanding of human gait substantially. This chapter introduces the basic tools of gait analysis and highlights specific considerations when selecting appropriate tools for the assessment of walking gait. Details of running gait are provided in Chapter 1.8....


2020 ◽  
Vol 10 (18) ◽  
pp. 6436
Author(s):  
Gabriella Fischer ◽  
Diana Jermann ◽  
Renate List ◽  
Lisa Reissner ◽  
Maurizio Calcagni

The purpose of this study was to develop a motion analysis protocol that allows the simultaneous assessment of all hand and finger joint movements. The objective was to demonstrate repeatability for future clinical applications in functional assessments. This study includes selection of marker positions, movement tasks, kinematic approaches and a comparison of the two most commonly used finger marker sets. By using a test–retest measurement of the range of motion in twenty healthy volunteers, the repeatability of the developed protocol was validated. Estimated errors of the presented method ranged from 1.2° to 6.4°. Finger joint angles derived from the marker set with two markers per segment showed better repeatability (3.7°) than with markers located on the joints (5.1°). Given the high repeatability found, the presented method appears to be suitable for clinical applications. For the fingers, measurement repeatability can be improved by using at least two markers per segment. Within this study, advanced kinematic approaches, such as functional determination of joint centers and axes, are applied to the analysis of hand movements. The provided standard values and estimate of the minimal detectable differences provide a valuable basis for meaningful data interpretation and may be used for future comparison with other protocols.


Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1660 ◽  
Author(s):  
Yunru Ma ◽  
Kumar Mithraratne ◽  
Nichola Wilson ◽  
Xiangbin Wang ◽  
Ye Ma ◽  
...  

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.


2020 ◽  
Vol 81 ◽  
pp. 365-366
Author(s):  
K. Tulchin-Francis ◽  
A. Anderson ◽  
S. Backus ◽  
D. Catelli ◽  
M. Harris Hayes ◽  
...  

1996 ◽  
Vol 4 (2) ◽  
pp. 190-191
Author(s):  
Sam Augsburger ◽  
Donna Oeffinger ◽  
Bobbie Edester ◽  
Hank White ◽  
Tim Cupp ◽  
...  

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