Knee Angle Analysis Using a Wearable Motion Analysis System for Detection and Rehabilitation of Mild Traumatic Brain Injury

2013 ◽  
Author(s):  
Amanda L. Martori ◽  
Stephanie L. Carey ◽  
Derek J. Lura ◽  
Rajiv V. Dubey
Keyword(s):  
Motion Analysis ◽  
Brain Injuries ◽  
Wearable Sensors ◽  
Motion Analysis System ◽  
Laboratory Setting ◽  
Gait Parameters ◽  
Optical Motion ◽  
Football Field ◽  
Analysis System ◽  
Optical Motion Capture

Mild traumatic brain injuries (mTBI) are common in soldiers and athletes, and can affect many areas of a person’s daily life including gait [1]. Current methods of measuring gait parameters involve expensive optical motion capture systems, time intensive setup, wires, complicated filtering techniques, and a laboratory setting. A wearable and wireless motion analysis system would allow gait analysis to be performed outside of a laboratory setting during activities of daily living, in a clinical setting or on a football field. The purpose of this study was to develop and verify an algorithm to calculate knee flexion during slow gait, particularly during terminal stance and pre-swing phases, using wireless wearable sensors.

Development of a Wearable Motion Analysis System for Evaluation and Rehabilitation of Mild Traumatic Brain Injury (mTBI)

2012 ◽  
Author(s):  
Stephanie L. Carey ◽  
Kevin Hufford ◽  
Amanda Martori ◽  
Mario Simoes ◽  
Francy Sinatra ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Brain Injuries ◽  
Training Session ◽  
Motion Analysis System ◽  
Laboratory Setting ◽  
Inertial Measurement ◽  
Gait Parameters ◽  
Measurement Units ◽  
Analysis System ◽  
Set Up

Mild traumatic brain injuries (mTBI) stem from a number of causes such as illnesses, strokes, accidents or battlefield traumas. These injuries can cause issues with everyday tasks, such as gait, and are linked with vestibular dysfunction [1]. Current technology that measures gait parameters often requires time consuming set up and post processing and is limited to the laboratory setting. The purpose of this study was to develop a wearable motion analysis system (WMAS) using five commercially available inertial measurement units (IMU) working in unison to record and output four gait parameters in a clinically relevant way. The WMAS has the potential to be used to 1) help diagnose mTBI or other neurocognitive disorders; 2) provide feedback to a clinician during a training session; 3) collect gait parameter data outside of the laboratory setting to determine rehabilitation progress; 4) provide quantitative outcome measures for rehabilitation efficacy.

scholarly journals The Validity of Wireless Earbud-Type Wearable Sensors for Head Angle Estimation and the Relationships of Head with Trunk, Pelvis, Hip, and Knee during Workouts

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 597
Author(s):  
Ae-Ryeong Kim ◽  
Ju-Hyun Park ◽  
Si-Hyun Kim ◽  
Kwang Bok Kim ◽  
Kyue-Nam Park
Keyword(s):  
Motion Analysis ◽  
Sagittal Plane ◽  
Wearable Sensors ◽  
Frontal Plane ◽  
Measurement Unit ◽  
Motion Analysis System ◽  
3D Motion ◽  
Trunk Motion ◽  
3D Motion Analysis ◽  
Analysis System

The present study was performed to investigate the validity of a wireless earbud-type inertial measurement unit (Ear-IMU) sensor used to estimate head angle during four workouts. In addition, relationships between head angle obtained from the Ear-IMU sensor and the angles of other joints determined with a 3D motion analysis system were investigated. The study population consisted of 20 active volunteers. The Ear-IMU sensor measured the head angle, while a 3D motion analysis system simultaneously measured the angles of the head, trunk, pelvis, hips, and knees during workouts. Comparison with the head angle measured using the 3D motion analysis system indicated that the validity of the Ear-IMU sensor was very strong or moderate in the sagittal and frontal planes. In addition, the trunk angle in the frontal plane showed a fair correlation with the head angle determined with the Ear-IMU sensor during a single-leg squat, reverse lunge, and standing hip abduction; the correlation was poor in the sagittal plane. Our results indicated that the Ear-IMU sensor can be used to directly estimate head motion and indirectly estimate trunk motion.

scholarly journals New method for detection of complex 3D fracture motion - Verification of an optical motion analysis system for biomechanical studies

2012 ◽  
Vol 13 (1) ◽  
Author(s):  
Stefan Doebele ◽  
Sebastian Siebenlist ◽  
Helen Vester ◽  
Petra Wolf ◽  
Ulrich Hagn ◽  
...  
Keyword(s):  
Motion Analysis ◽  
New Method ◽  
Motion Analysis System ◽  
Optical Motion ◽  
Analysis System ◽  
Fracture Motion

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.

THE USE OF MOTION ANALYSIS SYSTEM AND ORTHOSIS IN PATIENTS WITH NEURO-MUSCULOSKELETAL DISORDERS

2014 ◽  
Vol 14 (02) ◽  
pp. 1450028 ◽  
Author(s):  
MOHAMMAD TAGHI KARIMI ◽  
JAVID MOSTAMAND ◽  
FRANCIS FATOYE
Keyword(s):  
Knee Joint ◽  
Musculoskeletal Disorders ◽  
Motion Analysis ◽  
Hip Joint ◽  
Motion Analysis System ◽  
Flat Foot ◽  
Gait Parameters ◽  
Significant Difference ◽  
Joint Monitoring ◽  
Analysis System

Background: Neuro-musculoskeletal disorders are a major source of physical disability involving more than one joint. Monitoring all joints during walking is achieved by using motion analysis system. There is limited evidence to show the suitability of motion analysis system to monitor neuro-musculoskeletal disorders. This research investigated the feasibility of this system to represent in patients with neuro-musculoskeletal disorders during walking. Method: Five groups of normal subjects with: knee osteoarthritis; avascular necrosis of hip joint; spinal cord injury and flat foot were recruited into this study. Kinetic and kinematic parameters were obtained by the use of motion analysis (Qualysis with seven cameras) and a Kistler force platform. The differences between gait parameters of normal and subjects with these disorders were examined using the independent t-tests. Paired t-test analysis was also used to determine the difference between walking with and without orthosis. Significant value was set at p ≤ 0.05. Results: There was a significant difference between the moment applied on the knee joint, the integral area between center of pressure (COP) and center of knee joint (COJ) graphs of normal and osteoarthritis (OA) subjects (p < 0.05). The area between COP and COJ of the ankle joint significantly differed between normal and flat foot subjects (p < 0.05). However, the force transmitted through the hip joint in subjects with Perthes did not differ significantly while walking with and without orthosis. In paraplegic subjects, the force applied on the limb and the mean values of gait parameters varied while walking with different orthoses which showed the feasibility of the system to monitor the performance of subjects with SCI disorder. Conclusion: The findings of the present study imply that the use of motion analysis is feasibility for assessing and monitoring neuro-musculoskeletal disorders. However, different parameters should be selected for various neuro-musculoskeletal disorders.

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