Optimization of IMU Sensor Placement for the Measurement of Lower Limb Joint Kinematics
| Autor: | Kimberly Kontson, Wesley Niswander, Wei Wang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Inertial frame of reference
Computer science Kinematics Walking lcsh:Chemical technology gait 01 natural sciences Biochemistry Motion capture joint kinematics Lower limb Article Analytical Chemistry 03 medical and health sciences Wearable Electronic Devices 0302 clinical medicine Gait (human) Inertial measurement unit medicine motion capture Humans Computer vision lcsh:TP1-1185 Electrical and Electronic Engineering Range of Motion Articular Instrumentation Functional movement business.industry 010401 analytical chemistry IMU Gait Atomic and Molecular Physics and Optics 0104 chemical sciences Biomechanical Phenomena medicine.anatomical_structure Lower Extremity Exercise Test Artificial intelligence Ankle business Gait Analysis 030217 neurology & neurosurgery |
| Zdroj: | Sensors Volume 20 Issue 21 Sensors (Basel, Switzerland) Sensors, Vol 20, Iss 5993, p 5993 (2020) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s20215993 |
| Popis: | There is an increased interest in using wearable inertial measurement units (IMUs) in clinical contexts for the diagnosis and rehabilitation of gait pathologies. Despite this interest, there is a lack of research regarding optimal sensor placement when measuring joint kinematics and few studies which examine functionally relevant motions other than straight level walking. The goal of this clinical measurement research study was to investigate how the location of IMU sensors on the lower body impact the accuracy of IMU-based hip, knee, and ankle angular kinematics. IMUs were placed on 11 different locations on the body to measure lower limb joint angles in seven participants performing the timed-up-and-go (TUG) test. Angles were determined using different combinations of IMUs and the TUG was segmented into different functional movements. Mean bias and root mean square error values were computed using generalized estimating equations comparing IMU-derived angles to a reference optical motion capture system. Bias and RMSE values vary with the sensor position. This effect is partially dependent on the functional movement analyzed and the joint angle measured. However, certain combinations of sensors produce lower bias and RMSE more often than others. The data presented here can inform clinicians and researchers of placement of IMUs on the body that will produce lower error when measuring joint kinematics for multiple functionally relevant motions. Optimization of IMU-based kinematic measurements is important because of increased interest in the use of IMUs to inform diagnose and rehabilitation in clinical settings and at home. |
| Databáze: | OpenAIRE |
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