Literature DB >> 28950803

Changes in gait and plantar foot loading upon using vibrotactile wearable biofeedback system in patients with stroke.

Christina Zong-Hao Ma1,2, Yong-Ping Zheng1, Winson Chiu-Chun Lee1,3.   

Abstract

BACKGROUND: Patients with stroke walk with excessive foot inversion at the affected side, which may disturb their balance and gait.
OBJECTIVES: This study aimed to investigate the effects of instant biofeedback of plantar force at the medial and lateral forefoot regions on gait and plantar foot loading in patients with stroke.
METHODS: A total of eight patients with hemiplegic stroke, who had flexible rearfoot varus deformity at the affected side, participated in this study. A vibrotactile biofeedback system was developed and evaluated. It analyzed forces at the medial and lateral forefeet, and instantly provided vibration clues when the plantar force at medial forefoot was less than a threshold. Each subject's three-dimensional gait parameters and plantar-pressure distribution during walking were measured under two experimental conditions (sequence randomized): with and without the device turned on (Trial-registration number: ChiCTR-IPB-15006530 and HKCTR-1853).
RESULTS: Providing biofeedback significantly reduced the foot inversion and increased the mid-stance foot-floor contact area and medial midfoot plantar pressure of the affected limb, bringing the values of these parameters closer to those of the unaffected side. The biofeedback also significantly reduced the unaffected side's excessive knee flexion and hip abduction.
CONCLUSIONS: There were signs of improved foot loading characteristics and gait upon provision of instant vibrotactile biofeedback of plantar force. The positive results of this study further support the development of wearable biofeedback devices for improving gait of patients with stroke.

Entities:  

Keywords:  Stroke; foot inversion; gait training; instant biofeedback; plantar pressure; smart wearable device

Mesh:

Year:  2017        PMID: 28950803     DOI: 10.1080/10749357.2017.1380339

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  7 in total

1.  Reducing Slip Risk: A Feasibility Study of Gait Training with Semi-Real-Time Feedback of Foot-Floor Contact Angle.

Authors:  Christina Zong-Hao Ma; Tian Bao; Christopher A DiCesare; Isaac Harris; April Chambers; Peter B Shull; Yong-Ping Zheng; Rakie Cham; Kathleen H Sienko
Journal:  Sensors (Basel)       Date:  2022-05-10       Impact factor: 3.847

2.  Evaluating the Effects of Kinesthetic Biofeedback Delivered Using Reaction Wheels on Standing Balance.

Authors:  Muhammad Raheel Afzal; Amre Eizad; Carlos Ernesto Palo Peña; Jungwon Yoon
Journal:  J Healthc Eng       Date:  2018-06-11       Impact factor: 2.682

3.  The early warning research on nursing care of stroke patients with intelligent wearable devices under COVID-19.

Authors:  Fengxia Li; Zhimin Tao; Ruiling Li; Zhi Qu
Journal:  Pers Ubiquitous Comput       Date:  2021-01-26       Impact factor: 3.006

Review 4.  Review of Real-Time Biomechanical Feedback Systems in Sport and Rehabilitation.

Authors:  Matevž Hribernik; Anton Umek; Sašo Tomažič; Anton Kos
Journal:  Sensors (Basel)       Date:  2022-04-14       Impact factor: 3.847

Review 5.  Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review.

Authors:  Cristiana Pinheiro; Joana Figueiredo; João Cerqueira; Cristina P Santos
Journal:  Sensors (Basel)       Date:  2022-09-22       Impact factor: 3.847

Review 6.  Potential Mechanisms of Sensory Augmentation Systems on Human Balance Control.

Authors:  Kathleen H Sienko; Rachael D Seidler; Wendy J Carender; Adam D Goodworth; Susan L Whitney; Robert J Peterka
Journal:  Front Neurol       Date:  2018-11-12       Impact factor: 4.003

7.  Use of 3D-Printed Heel Support Insoles Based on Arch Lift Improves Foot Pressure Distribution in Healthy People.

Authors:  Hui Jin; Rui Xu; Shuxin Wang; Jincheng Wang
Journal:  Med Sci Monit       Date:  2019-09-24
  7 in total

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