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http://dx.doi.org/10.18857/jkpt.2019.31.6.333

Detection and Quantification of Screw-Home Movement Using Nine-Axis Inertial Sensors  

Jeon, Jeong Woo (Department of Physical Therapy, College of Health Science, Sun Moon University)
Lee, Dong Yeop (Department of Physical Therapy, College of Health Science, Sun Moon University)
Yu, Jae Ho (Department of Physical Therapy, College of Health Science, Sun Moon University)
Kim, Jin Seop (Department of Physical Therapy, College of Health Science, Sun Moon University)
Hong, Jiheon (Department of Physical Therapy, College of Health Science, Sun Moon University)
Publication Information
The Journal of Korean Physical Therapy / v.31, no.6, 2019 , pp. 333-338 More about this Journal
Abstract
Purpose: Although previous studies on the screw-home movement (SHM) for autopsy specimen and walking of living persons conducted, the possibility of acquiring SHM based on inertial measurement units received little attention. This study aimed to investigate the possibility of measuring SHM for the non-weighted bearing using a micro-electro-mechanical system-based wearable motion capture system (MEMSS). Methods: MEMSS and camera-based motion analysis systems were used to obtain kinematic data of the knee joint. The knee joint moved from the flexion position to a fully extended position and then back to the start point. The coefficient of multiple correlation and the difference in the range of motion were used to assess the waveform similarity in the movement measured by two measurement systems. Results: The waveform similarity in the sagittal plane was excellent and the in the transverse plane was good. Significant differences were found in the sagittal plane between the two systems (p<0.05). However, there was no significant difference in the transverse plane between the two systems (p>0.05). Conclusion: The SHM during the passive motion without muscle contraction in the non-weighted bearing appeared in the entire range. We thought that the MEMSS could be easily applied to the acquisition of biomechanical data on the knee related to physical therapy.
Keywords
Screw-home movement; Biomechanics; Inertial sensor; Micro-Electro-Mechanical System;
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