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Articles 1 - 2 of 2
Full-Text Articles in Physical Therapy
Analytical Cpg Model Driven By Limb Velocity Input Generates Accurate Temporal Locomotor Dynamics, Sergiy Yakovenko, Anton Sobinov, Valeriya Gritsenko
Analytical Cpg Model Driven By Limb Velocity Input Generates Accurate Temporal Locomotor Dynamics, Sergiy Yakovenko, Anton Sobinov, Valeriya Gritsenko
Faculty & Staff Scholarship
The ability of vertebrates to generate rhythm within their spinal neural networks is essential for walking, running, and other rhythmic behaviors. The central pattern generator (CPG) network responsible for these behaviors is well-characterized with experimental and theoretical studies, and it can be formulated as a nonlinear dynam- ical system. The underlying mechanism responsible for locomotor behavior can be expressed as the process of leaky integration with resetting states generating appropriate phases for changing body velocity. The low-dimensional input to the CPG model generates the bilateral pattern of swing and stance modulation for each limb and is consistent with the desired …
The Complementary Health Approaches For Pain Survey (Chaps): Validity Testing And Characteristics Of A Rural Population With Pain, Termeh Feinberg, Dina L. Jones, Christa Lilly, Amna Umer, Kim Innes
The Complementary Health Approaches For Pain Survey (Chaps): Validity Testing And Characteristics Of A Rural Population With Pain, Termeh Feinberg, Dina L. Jones, Christa Lilly, Amna Umer, Kim Innes
Faculty & Staff Scholarship
Objectives
Little is known about patterns and correlates of Complementary Health Approaches (CHAs) in chronic pain populations, particularly in rural, underserved communities. This article details the development and implementation of a new survey instrument designed to address this gap, the Complementary Health Approaches for Pain Survey (CHAPS).
Design
Following pilot-testing using pre-specified criteria to assess quality and comprehension in our target population, and after feedback regarding face-validity from content experts and stakeholders, the final cross-sectional self-report survey required 10–12 minutes to com- plete. It contained 69 demographic, lifestyle and health-related factors, and utilized a Trans- theoretical Model (TTM) underpinning to …