scholarly journals Is My Patient Improving? Individualized Gait Analysis in Rehabilitation

2020 ◽  
Vol 10 (23) ◽  
pp. 8558
Author(s):  
Javier Marin ◽  
Jose J. Marin ◽  
Teresa Blanco ◽  
Juan de la Torre ◽  
Inmaculada Salcedo ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Motion Capture ◽  
Large Data ◽  
Single Patient ◽  
Inertial Motion ◽  
Graphical Information ◽  
Before And After ◽  
Interpretation Process ◽  
Botulinum Toxin Injections ◽  
Support Decision Making

In the rehabilitation field, clinicians are continually struggling to assess improvements in patients following interventions. In this paper, we propose an approach to use gait analysis based on inertial motion capture (MoCap) to monitor individuals during rehabilitation. Gait is a cyclical movement that generates a sufficiently large data sample in each capture session to statistically compare two different sessions from a single patient. Using this crucial idea, 21 heterogeneous patients with hemiplegic spasticity were assessed using gait analysis before and after receiving treatment with botulinum toxin injections. Afterwards, the two sessions for each patient were compared using the magnitude-based decision statistical method. Due to the challenge of classifying changes in gait variables such as improvements or impairments, assessing each patient’s progress required an interpretative process. After completing this process, we determined that 10 patients showed overall improvement, five patients showed overall impairment, and six patients did not show any overall change. Finally, the interpretation process was summarized by developing guidelines to aid in future assessments. In this manner, our approach provides graphical information about the patients’ progress to assess improvement following intervention and to support decision-making. This research contributes to integrating MoCap-based gait analysis into rehabilitation.

Error Estimation for Known Marker Position Retrieval by Ideal Pinhole Camera Direct Observation

2016 ◽  
Vol 841 ◽  
pp. 192-197
Author(s):  
Constantin Radu Mirescu ◽  
Gabriela Roșca
Keyword(s):  
Gait Analysis ◽  
Error Estimation ◽  
Motion Capture ◽  
Direct Observation ◽  
Focal Point ◽  
Pinhole Camera ◽  
Point Of View ◽  
Direct Approach ◽  
Marker Position

For Motion Capture in Gait Analysis using Known Spherical Markers one simple direct approach is to compute the projection of the Marker Center using its projection in the Pixel Plane and based on it to find the location of the Marker on the line that connects the Marker Center Projection and the camera Focal Point. For various positions of the Marker in the workspace the exact image of the marker is computed using a genuine approach and compute back the approximation of the position based on the generated image. Various algorithms are taken in consideration and finally the results are assessed from the point of view of Gait Analysis and two directions for calculus improvement are identified.

scholarly journals Gait analysis of locomotory impairment in rats before and after neuromuscular injury

2009 ◽  
Vol 181 (2) ◽  
pp. 249-256 ◽  
Author(s):  
Wenlong Tang ◽  
Richard M. Lovering ◽  
Joseph A. Roche ◽  
Robert J. Bloch ◽  
Nagaraj K. Neerchal ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Before And After

Gait Analysis of Patients with Low Back Pain Before and After Surgery

Spine ◽  
1993 ◽  
Vol 18 (11) ◽  
pp. 1451-1455
Author(s):  
Soussan Khodadadeh ◽  
Stephen M. Eisenstein
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Gait Analysis ◽  
Low Back ◽  
Before And After

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.

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