PNF and Movement

Korea Proprioceptive Neuromuscular Facilitation Association (대한고유수용성신경근촉진법학회)
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Development of an Automatic Measuring Program for the Craniovertebral Angle Using Photographic Image

사진 영상을 이용한 머리척추각 자동 측정 프로그램 개발

  • Soo-Young Ye (Department of Radiological Science, College of Health Sciences, Catholic University of Pusan) ;
  • Jong-Soon Kim (Department of Physical Therapy, College of Health Sciences, Catholic University of Pusan)
  • 예수영 (부산가톨릭대학교 보건과학대학 방사선학과) ;
  • 김종순 (부산가톨릭대학교 보건과학대학 물리치료학과)
  • Received : 2024.01.19
  • Accepted : 2024.02.23
  • Published : 2024.04.30
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Abstract

Purpose: The prevalent use of mobile devices may contribute to musculoskeletal disorders, such as forward head posture (FHP), among users. The measurement of the craniovertebral angle (CVA) using photographic images is frequently employed in assessing FHP. Although manual CVA measurement using photographic images is reliable in clinical settings, computer programs or mobile applications to support tele-physical therapy are not yet fully developed. Therefore, in the current study, we propose an automatic method for extracting CVA from photographic images of FHP subjects to facilitate tele-physical therapy. Methods: To develop the automatic CVA measuring computer program, photographic images were obtained from 10 FHP participants. The location information obtained from the markers attached to the tragus and the spinous process of the seventh cervical vertebra were used as coordinates. Using these coordinates, straight line 1 was generated by connecting the seventh spinous process of the cervical vertebra and the tragus, while straight line 2 was drawn parallel to the coordinate obtained from the seventh spinous process of the cervical vertebra. The arc tangent function was used to calculate the angle between the two straight lines. The automatic CVA measurement computer program utilizing photographic images was developed using MATLAB (ver. 2016b). Results: The results showed that the automatic CVA measurement computer program demonstrated stable repeatability and high accuracy. Conclusion: The proposed approach was able to automatically estimate the CVA using photographic images. The developed computer program can potentially be used for easier and more reliable clinical assessment of FHP.

Keywords

Acknowledgement

이 논문은 2022년도 부산가톨릭학교 교내연구비에 의하여 연구되었음

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