Effect of inclined support surface on postural strategy during anterior-posterior platform translations

Masanori Ishizawa, Shin Ichiroh Yamamoto

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Previous studies have reported that postural coordination patterns change as a function of translation frequency. However, the effect of inclined support surface on postural strategy was not clear. Therefore, the purpose of this study is to investigate the influence of inclined support surface on postural strategy during platform translations. Eight healthy adults maintained their balance in stance during support surface translations in the anterior-posterior direction at two different frequencies (0.2 and 0.8[Hz]) and at three different base of support condition (LV: Level, TD: Toe Down, TU: Toe Up). For the kinematic data at slow frequency, subjects rode the platform depending on the movement of platform itself, while at fast frequency subjects fixed their head and center of mass (COM) in space. For the kinetic data at slow frequency, the ankle moment amplitude is similar among all support surface conditions, while at fast frequency the ankle moment amplitude for TU is significantly larger than LV. Result shown that the effect of inclined surface on postural strategy changed according to frequency of support surface translations.

本文言語English
ホスト出版物のタイトル2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
ページ4772-4775
ページ数4
DOI
出版ステータスPublished - 2012 12 14
イベント34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
継続期間: 2012 8 282012 9 1

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(印刷版)1557-170X

Conference

Conference34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CountryUnited States
CitySan Diego, CA
Period12/8/2812/9/1

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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