scholarly journals Validity of Measurement for Trailing Limb Angle and Propulsion Force during Gait Using a Magnetic Inertial Measurement Unit

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Takasuke Miyazaki ◽  
Masayuki Kawada ◽  
Yuki Nakai ◽  
Ryoji Kiyama ◽  
Kazunori Yone
Keyword(s):  
Lumbar Spine ◽  
Motion Analysis ◽  
Reaction Force ◽  
Measurement Unit ◽  
Lumbar Region ◽  
Motion Analysis System ◽  
Inertial Measurement ◽  
Propulsion Force ◽  
Trailing Limb Angle ◽  
Analysis System

Propulsion force and trailing limb angle (TLA) are meaningful indicators for evaluating quality of gait. This study examined the validity of measurement for TLA and propulsion force during various gait conditions using magnetic inertial measurement units (IMU), based on measurements using a three-dimensional motion analysis system and a force platform. Eighteen healthy males (mean age 25.2  ±  3.2 years, body height 1.70   ±  0.06 m) walked with and without trunk fluctuation at preferred, slow, and fast velocities. IMU were fixed on the thorax, lumbar spine, and right thigh and shank. IMU calculated the acceleration and tilt angles in a global coordinate system. TLA, consisting of a line connecting the hip joint with the ankle joint, and the laboratory’s vertical axis at late stance in the sagittal plane, was calculated from thigh and shank segment angles obtained by IMU, and coordinate data from the motion analysis system. Propulsion force was estimated by the increment of velocity calculated from anterior acceleration measured by IMU fixed on the thorax and lumbar spine, and normalized impulse of the anterior component of ground reaction force (AGRF) during late stance. Similarity of TLA measured by IMU and the motion analysis system was tested by the coefficient of multiple correlation (CMC), intraclass correlation coefficient (ICC), and root mean square (RMS) of measurement error. Relationships between normalized impulse of AGRF and increments of velocity, as measured by IMU, were tested using correlation analysis. CMC of TLA was 0.956–0.959. ICC between peak TLAs was 0.831–0.876 (p<0.001), and RMS of error was 1.42°–1.92°. Velocity increment calculated from acceleration on the lumbar region showed strong correlations with normalized impulse of AGRF (r=0.755–0.892, p<0.001). These results indicated a high validity of estimation of TLA and propulsion force by IMU during various gait conditions; these methods would be useful for best clinical practice.

scholarly journals Can We Accurately Measure Axial Segment Coordination during Turning Using Inertial Measurement Units (IMUs)?

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2518 ◽  
Author(s):  
Fuengfa Khobkhun ◽  
Mark A. Hollands ◽  
Jim Richards ◽  
Amornpan Ajjimaporn
Keyword(s):  
Motion Analysis ◽  
Movement Disorders ◽  
Clinical Settings ◽  
Motion Analysis System ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
3D Motion ◽  
3D Motion Analysis ◽  
Measurement Units ◽  
Analysis System

Camera-based 3D motion analysis systems are considered to be the gold standard for movement analysis. However, using such equipment in a clinical setting is prohibitive due to the expense and time-consuming nature of data collection and analysis. Therefore, Inertial Measurement Units (IMUs) have been suggested as an alternative to measure movement in clinical settings. One area which is both important and challenging is the assessment of turning kinematics in individuals with movement disorders. This study aimed to validate the use of IMUs in the measurement of turning kinematics in healthy adults compared to a camera-based 3D motion analysis system. Data were collected from twelve participants using a Vicon motion analysis system which were compared with data from four IMUs placed on the forehead, middle thorax, and feet in order to determine accuracy and reliability. The results demonstrated that the IMU sensors produced reliable kinematic measures and showed excellent reliability (ICCs 0.80–0.98) and no significant differences were seen in paired t-tests in all parameters when comparing the two systems. This suggests that the IMU sensors provide a viable alternative to camera-based motion capture that could be used in isolation to gather data from individuals with movement disorders in clinical settings and real-life situations.

scholarly journals Physical Exercise Goals of the Elderly through the Analysis of Kinetic and Kinematic Variables of Quick Walking—Results of the Koreans Elderly Using a Motion Analysis System

2020 ◽  
Vol 11 (1) ◽  
pp. 225
Author(s):  
Chang-Gyun Roh
Keyword(s):  
Motion Analysis ◽  
Walking Speed ◽  
Reaction Force ◽  
Force Plate ◽  
The Elderly ◽  
Motion Analysis System ◽  
Physical Size ◽  
Risk Of Fall ◽  
Analysis System ◽  
Global Population

Since the global population is rapidly aging, social interest in the topic is increasing. However, there are not many studies on the elderly who are able to walk on their own, who make up the absolute majority of the total elderly population. Most studies and technological advancements are focused on either the development of assisting devices or on the elderly who use such devices or have a medical history. Therefore, this study analyzed the walks of 31 ordinary individuals of standard physical size and 31 elderly individuals. While there are studies on general gait and walk, there are not many on “maximum walking,” which is associated with a high risk of fall. For this purpose, a motion analysis system and the Ground Reaction Force Plate were used. The results of measuring and analyzing a total of 15 types of kinematic and kinetic variables as targets showed that the elderly experienced a reduced hike in the walking speed by approximately 5% during maximum walking when compared with normal walking. The variables related to balance were measured to be as high as 12%. Considering this, exercise of the elderly should be more focused on reinforcing variables related to balance, and in particular, emphasis should be placed on maintaining balance even when the walking speed increases.

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 The movement profile of trunk and neck during habitual vacuuming

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
C. Maurer-Grubinger ◽  
J. Haenel ◽  
L. Fraeulin ◽  
F. Holzgreve ◽  
E. M. Wanke ◽  
...  
Keyword(s):  
Cervical Spine ◽  
Lumbar Spine ◽  
Musculoskeletal Disorders ◽  
Motion Analysis ◽  
Motion Analysis System ◽  
Joint Angles ◽  
3D Motion ◽  
3D Motion Analysis ◽  
Vacuum Cleaning ◽  
Analysis System

AbstractMusculoskeletal disorders of the trunk and neck are common among cleaners. Vacuum cleaning is a demanding activity. The aim of this study was to present the movement profile of the trunk and neck during habitual vacuuming. The data were collected from 31 subjects (21f./10 m) using a 3D motion analysis system (Xsens). 10 cycles were analysed in vacuuming PVC and carpet floors with 8 vacuum cleaners. The joint angles and velocities were represented statistically descriptive. When vacuuming, the trunk is held in a forwardly inclined position by a flexion in the hip and rotated from this position. In the joint angles and velocities of the spine, the rotation proved to be dominant. A relatively large amount of movement took place in the cervical spine and also in the lumbar spine. The shown movement profile is rather a comfort area of vacuuming which may serve as a reference for ergonomics in vacuuming.

scholarly journals Investigation of normal knees kinematics in walking and running at different speeds using a portable motion analysis system

2021 ◽  
pp. 1-14
Author(s):  
Rixu Liu ◽  
Dongyang Qian ◽  
Yushu Chen ◽  
Jianyu Zou ◽  
Shicong Zheng ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Motion Analysis System ◽  
Analysis System

scholarly journals Upper Limb Portable Motion Analysis System Based on Inertial Technology for Neurorehabilitation Purposes

Sensors ◽  
2010 ◽  
Vol 10 (12) ◽  
pp. 10733-10751 ◽  
Author(s):  
Rodrigo Pérez ◽  
Úrsula Costa ◽  
Marc Torrent ◽  
Javier Solana ◽  
Eloy Opisso ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Upper Limb ◽  
Motion Analysis System ◽  
Analysis System
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