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Examination of a practical method to quantitatively evaluate the rolling over movement in a clinical setting.
Yamanaka, Yuki; Mizuno, Tomohito; Yamamoto, Hiroyuki; Murakami, Shinichiro.
Afiliação
  • Yamanaka Y; Faculty of Health Care Sciences, Himeji Dokkyo University: 7-2-1 Kamiouno, Himeji, Hyogo 670-0896, Japan.
  • Mizuno T; Faculty of Health Care Sciences, Himeji Dokkyo University: 7-2-1 Kamiouno, Himeji, Hyogo 670-0896, Japan.
  • Yamamoto H; Faculty of Health Care Sciences, Himeji Dokkyo University: 7-2-1 Kamiouno, Himeji, Hyogo 670-0896, Japan.
  • Murakami S; Faculty of Health Care Sciences, Himeji Dokkyo University: 7-2-1 Kamiouno, Himeji, Hyogo 670-0896, Japan.
J Phys Ther Sci ; 36(8): 435-440, 2024 Aug.
Article em En | MEDLINE | ID: mdl-39092410
ABSTRACT
[Purpose] We investigated the utility of wearable inertial and magnetic sensing modules for analyzing neck and trunk movements during the rolling over movement. [Participants and Methods] The participants were instructed to roll over from the supine to the side-lying position with three sensor units attached to their forehead, xiphoid process of the sternum, and abdomen. Experiments were conducted on two prescribed patterns one emphasizing hip joint flexion and adduction, and the other focusing on scapular protraction and horizontal shoulder joint adduction in two healthy participants (one male and one female). The flexion and rotation angles of the neck and trunk were calculated using conventional spreadsheet software with data obtained from the sensors. The obtained values were compared for agreement with those derived from a three-dimensional (3D) motion analysis device. [Results] The cross-correlation coefficient for the flexion and rotation angles of the neck and trunk between the two measurement methods was approximately 0.85, and the root mean square (RMS) angle difference was approximately 5.0°. [Conclusion] Wearable inertial and magnetic sensors can be used to quantitatively evaluate neck and trunk movements during the rolling over movement.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article