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Validity of estimating center of pressure during walking and running with plantar load from a three-sensor wireless insole.
Brindle, Richard A; Bleakley, Chris M; Taylor, Jeffrey B; Queen, Robin M; Ford, Kevin R.
Afiliação
  • Brindle RA; Department of Physical Therapy, High Point University, High Point, North Carolina, USA.
  • Bleakley CM; Baylor University - Keller Army Community Hospital Division 1 Sports Physical Therapy Fellowship, United States Military Academy, West Point, New York, USA.
  • Taylor JB; Department of Physical Therapy, High Point University, High Point, North Carolina, USA.
  • Queen RM; School of Health Sciences, Faculty of Life and Health Sciences, Ulster University, Newtownabbey, United Kingdom.
  • Ford KR; Department of Physical Therapy, High Point University, High Point, North Carolina, USA.
Wearable Technol ; 3: e8, 2022.
Article em En | MEDLINE | ID: mdl-38486902
ABSTRACT
The purpose of this study was to determine if estimated center of pressure (COP) from plantar force data collected using three-sensor loadsol insoles was comparable to the COP from plantar pressure data collected using pedar insoles during walking and running. Ten healthy adults walked and ran at self-selected speeds on a treadmill while wearing both a loadsol and pedar insole in their right shoe. Plantar force recorded from the loadsol was used to estimate COP along mediolateral (COPx) and anteroposterior (COPy) axes. The estimated COPx and COPy were compared with the COPx and COPy from pedar using limits of agreement and Spearman's rank correlation. There were significant relationships and agreement within 5 mm in COPx and 20 mm in COPy between loadsol and pedar at 20-40% of stance during walking and running. However, loadsol demonstrated biases of 7 mm in COPx and 10 mm in COPy compared to pedar near initial contact and toe-off.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Wearable Technol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Wearable Technol Ano de publicação: 2022 Tipo de documento: Article