Literature DB >> 22030469

Efficacy of gait training with real-time biofeedback in correcting knee hyperextension patterns in young women.

Patricia Teran-Yengle1, Rebecca Birkhofer, Megan A Weber, Kimberly Patton, Erin Thatcher, H John Yack.   

Abstract

STUDY
DESIGN: Single cohort study.
OBJECTIVES: To investigate the efficacy of real-time biofeedback provided during treadmill gait training to correct knee hyperextension in asymptomatic females while walking.
BACKGROUND: Knee hyperextension is associated with increased stress to the posterior capsule of the knee joint, anterior cruciate ligament, and the anterior compartment of the tibiofemoral joint. Previous methods aimed at correcting knee hyperextension have shown limited success.
METHODS: Ten women, ages 18 to 39 years, with asymptomatic knee hyperextension during ambulation, were provided with 6 sessions of real-time feedback of kinematic data (Visual 3D) during treadmill training. Gait evaluations were performed pretraining, posttraining, and 1 month after the last training session.
RESULTS: Participants showed improved control of knee hyperextension during overground walking at 1.3 m/s at posttraining and at 1 month posttraining.
CONCLUSION: The present study demonstrated that knee sagittal plane kinematics may be influenced by gait retraining using real-time biofeedback.

Entities:  

Mesh:

Year:  2011        PMID: 22030469     DOI: 10.2519/jospt.2011.3660

Source DB:  PubMed          Journal:  J Orthop Sports Phys Ther        ISSN: 0190-6011            Impact factor:   4.751


  4 in total

1.  Biomechanical loads during common rehabilitation exercises in obese individuals.

Authors:  Bhupinder Singh; H John Yack; Shelby L Francis; Kathleen F Janz
Journal:  Int J Sports Phys Ther       Date:  2015-04

2.  A real-time system for biomechanical analysis of human movement and muscle function.

Authors:  Antonie J van den Bogert; Thomas Geijtenbeek; Oshri Even-Zohar; Frans Steenbrink; Elizabeth C Hardin
Journal:  Med Biol Eng Comput       Date:  2013-07-25       Impact factor: 2.602

Review 3.  Virtual sensory feedback for gait improvement in neurological patients.

Authors:  Yoram Baram
Journal:  Front Neurol       Date:  2013-10-14       Impact factor: 4.003

4.  Predictive simulation of post-stroke gait with functional electrical stimulation.

Authors:  Gilmar F Santos; Eike Jakubowitz; Nicolas Pronost; Thomas Bonis; Christof Hurschler
Journal:  Sci Rep       Date:  2021-11-01       Impact factor: 4.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.