scholarly journals Agreement Between the Spatiotemporal Gait Parameters of Healthy Adults From the OptoGait System and a Traditional Three-Dimensional Motion Capture System

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Aoife Healy ◽  
Kimberley Linyard-Tough ◽  
Nachiappan Chockalingam
Keyword(s):  
Motion Analysis ◽  
Motion Capture ◽  
Intraclass Correlation ◽  
Three Dimensional ◽  
Healthy Adults ◽  
Systematic Bias ◽  
Motion Analysis System ◽  
Motion Capture System ◽  
Gait Parameters ◽  
Analysis System

While previous research has assessed the validity of the OptoGait system to the GAITRite walkway and an instrumented treadmill, no research to date has assessed this system against a traditional three-dimensional motion analysis system. Additionally, previous research has shown that the OptoGait system shows systematic bias when compared to other systems due to the configuration of the system's hardware. This study examined the agreement between the spatiotemporal gait parameters calculated from the OptoGait system and a three-dimensional motion capture (14 camera Vicon motion capture system and 2 AMTI force plates) in healthy adults. Additionally, a range of filter settings for the OptoGait were examined to determine if it was possible to eliminate any systematic bias between the OptoGait and the three-dimensional motion analysis system. Agreement between the systems was examined using 95% limits of agreement by Bland and Altman and the intraclass correlation coefficient. A repeated measure ANOVA was used to detect any systematic differences between the systems. Findings confirm the validity of the OptoGait system for the evaluation of spatiotemporal gait parameters in healthy adults. Furthermore, recommendations on filter settings which eliminate the systematic bias between the OptoGait and the three-dimensional motion analysis system are provided.

Validation of wearable inertial sensor-based gait analysis system for measurement of spatiotemporal parameters and lower extremity joint kinematics in sagittal plane

2022 ◽  
pp. 095441192110729
Author(s):  
Gunjan Patel ◽  
Rajani Mullerpatan ◽  
Bela Agarwal ◽  
Triveni Shetty ◽  
Rajdeep Ojha ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Motion Analysis ◽  
Motion Capture ◽  
Inertial Sensor ◽  
Joint Kinematics ◽  
Percentage Error ◽  
Motion Capture System ◽  
Spatiotemporal Parameters ◽  
Analysis System ◽  
Motion Capture Systems

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.

Biomechanics of Regular and Lateral Stair Climbing

2012 ◽  
Author(s):  
S. F. Almashqbeh
Keyword(s):  
Motion Analysis ◽  
Force Plate ◽  
Three Dimensional ◽  
Stair Climbing ◽  
Motion Analysis System ◽  
Analysis System ◽  
The Right

The kinematic and kinetic differences between two styles of stair climbing, namely regular stair climbing (RSC) and lateral stair climbing (LSC), was studied. A four-step wooden stair instrumented with two force plates was used as the action platform. The kinematic and kinetic recordings were collected using a 6-camera, 2-force plate commercial three-dimensional motion analysis system. The LSC activity was subdivided into LSCL activity, where the right leg was the leading leg, and LSCT.

Neck range of motion measurements using a new three-dimensional motion analysis system: validity and repeatability

2015 ◽  
Vol 24 (12) ◽  
pp. 2807-2815 ◽  
Author(s):  
Haruhi Inokuchi ◽  
Michio Tojima ◽  
Hiroshi Mano ◽  
Yuki Ishikawa ◽  
Naoshi Ogata ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Motion Analysis ◽  
Three Dimensional ◽  
Motion Analysis System ◽  
Motion Measurements ◽  
Analysis System

Validation of a patient activity monitor to quantify ambulatory activity in an amputee population

2007 ◽  
Vol 31 (2) ◽  
pp. 157-166 ◽  
Author(s):  
N. Ramstrand ◽  
K. -Å Nilsson
Keyword(s):  
Motion Analysis ◽  
Three Dimensional ◽  
Activity Monitor ◽  
Motion Analysis System ◽  
Ambulatory Activity ◽  
Walking Activity ◽  
Data Output ◽  
Analysis System ◽  
Walking Speeds ◽  
Amputee Gait

The ability to objectively measure an amputee's walking activity over prolonged periods can provide clinicians with a useful means of evaluating their patients' outcomes. The present study aimed to validate the temporospatial data output from a commercially available ambulatory activity monitor (PAM, Össur) fitted to trans-tibial and trans-femoral amputees, against data that was simultaneously captured from a three dimensional motion analysis system (Qualisys Medical AB, Gothenburg, Sweden). Results indicate that the PAM monitor provides accurate measures of temporospatial aspects of amputee gait for walking speeds above 0.75 m/s.

scholarly journals Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system

2020 ◽  
Author(s):  
Robert Kanko ◽  
Gerda Strutzenberger ◽  
Marcus Brown ◽  
Scott Selbie ◽  
Kevin Deluzio
Keyword(s):  
Motion Capture ◽  
Learning Algorithm ◽  
Pearson Correlation ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Healthy Adults ◽  
Video Data ◽  
Heel Strike ◽  
Markerless Motion Capture ◽  
Gait Parameters

Spatiotemporal parameters can characterize the gait patterns of individuals, allowing assessment of their health status and detection of clinically meaningful changes in their gait. Video-based markerless motion capture is a user-friendly, inexpensive, and widely applicable technology that could reduce the barriers to measuring spatiotemporal gait parameters in clinical and more diverse settings. Two studies were performed to determine whether gait parameters measured using markerless motion capture demonstrate concurrent validity with those measured using marker-based motion capture and pressure sensitive gait mats. For the first study, thirty healthy adults performed treadmill gait at self-selected speeds while marker-based motion capture and synchronized video data were recorded simultaneously. For the second study, twenty-five healthy adults performed over-ground gait at self-selected speeds while footfalls were recorded using a gait mat and synchronized video data were recorded simultaneously. Kinematic heel-strike and toe-off gait events were used to identify the same gait cycles between systems. Nine spatiotemporal gait parameters were measured by each system and directly compared between systems. Measurements were compared using Bland-Altman methods, mean differences, Pearson correlation coefficients, and intraclass correlation coefficients. The results indicate that markerless measurements of spatiotemporal gait parameters have good to excellent agreement with marker-based motion capture and gait mat systems, except for stance time and double limb support time relative to both systems and stride width relative to the gait mat. These findings indicate that markerless motion capture can adequately measure spatiotemporal gait parameters during treadmill and overground gait.

scholarly journals Use of a Novel Multi-View Image-Based Motion Analysis System in the Field of Sports

2021 ◽  
Author(s):  
Nam-Gi Lee ◽  
Jung-Hoon Ahn ◽  
Woo-Taek Lim
Keyword(s):  
Lower Extremity ◽  
Motion Analysis ◽  
Intraclass Correlation ◽  
Young Men ◽  
Lower Extremities ◽  
Joint Kinematics ◽  
Motion Analysis System ◽  
Sports Training ◽  
Two Systems ◽  
Analysis System

Abstract Background: Sports-related injuries are the most common in the lower extremities among physical regions, and overall injury rates were higher among males and persons aged 5–24 years. To evaluate impaired functional performance in sports training facilities and sports, a marker-less motion analysis system that can measure joint kinematics in bright indoor and outdoor environments is required. Objective: To establish the concurrent and angle-trajectory validity and intra-trial reliability of a novel multi-view image-based motion analysis system with marker-less during lower extremity tasks in healthy young men.Methods: Ten healthy young men participated voluntarily in this study. The hip and knee joint angles were collected using a multi-view image-based motion analysis system (marker-less) and a Vicon motion capture system (with markers) during the lower extremity tasks. Intraclass correlation coefficient (ICC) analyses were used to identify the concurrent and angle-trajectory validity and intra-trial reliability of the multi-view image-based motion analysis system.Results: In the concurrent validity, the correlation analysis revealed that the ICC3, k values on the hip and knee flexions during knee bending in sitting, standing, and squat movements were 0.747 to 0.936 between the two systems. In particular, the angle-trajectory validity was very high (ICC3, 1 = 0.859–0.998), indicating a high agreement between the two systems. The intra-trial reliability of each system was excellent (ICC3, 1 = 0.773–0.974), reflecting high reproducibility. Conclusion: We suggest that this novel marker-less motion analysis system is highly accurate and reliable for measuring joint kinematics of the lower extremities during the rehabilitation process and monitoring the sports performance of athletes in sports training facilities.

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