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ORIGINAL ARTICLE
Year : 2022  |  Volume : 42  |  Issue : 3  |  Page : 115-119

Inertial measurement unit-based functional evaluation for adhesive capsulitis assessment


1 Department of Physical Medicine and Rehabilitation, School of Medicine, National Defense Medical Center, Tri-Service General Hospital; Department of Physical Therapy and Assistive Technology, National Yang-Ming Chiao Tung University, Taipei, Taiwan
2 Department of Physical Medicine and Rehabilitation, School of Medicine, National Defense Medical Center, Tri-Service General Hospital, Taipei, Taiwan
3 Department of Physical Medicine and Rehabilitation, School of Medicine, National Defense Medical Center, Tri-Service General Hospital, Taipei; Department of Physical Medicine and Rehabilitation, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan
4 Department of Physical Medicine and Rehabilitation, School of Medicine, National Defense Medical Center, Tri-Service General Hospital, Taipei; Department of Physical Medicine and Rehabilitation, Taoyuan Armed Force General Hospital, Taoyuan, Taiwan
5 Department of Physical Medicine and Rehabilitation, School of Medicine, National Defense Medical Center, Tri-Service General Hospital, Taipei; Department of Physical Medicine and Rehabilitation, Taichung Armed Forces General Hospital, Taiping District, Taichung City, Taiwan
6 Research Center for Information Technology Innovation, Academia Sinica; Departments of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan
7 Departments of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan
8 Department of Physical Therapy and Assistive Technology, National Yang-Ming Chiao Tung University, Taipei, Taiwan

Correspondence Address:
Dr. Li-Wei Chou
Department of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei
Taiwan
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jmedsci.jmedsci_89_21

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Aims: The inertial measurement unit (IMU), as a sensor-based assessment tool, could provide objective and quantitative data for evaluating a patient with adhesive capsulitis (AC). The IMUs have advantages in simplification of implementation, cost, and computation complexity. We aimed to propose an IMU-based approach to extract statistical features for the assessment of AC in daily activity. Methods: Nine healthy subjects and nine AC patients participate in this experiment. The accelerometers are placed on the wrist and arm to measure the movement performance. Each subject is asked to perform three basic shoulder motions, including flexion, extension, and abduction. Eight types of features are extracted from the norm of accelerometer signals, including mean, standard deviation (SD), variation, maximum, minimum, range, kurtosis, and skewness. These features are explored to distinguish the differences in the movement performance between healthy subjects and AC patients. Statistical Analysis Used: Student's t-test and effect size (Cohen's d) are calculated to assess the reliability of the proposed evaluation approach. Results: The results show that the feature of SD extracted from the wrist can achieve significant differences and large effect sizes between healthy subjects and AC patients. Conclusion: We demonstrate the feasibility of the proposed IMU-based functional evaluation for the AC assessment using statistical features.


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