Literature DB >> 32347399

Comparison of the Immediate Effects of Audio, Visual, or Audiovisual Gait Biofeedback on Propulsive Force Generation in Able-Bodied and Post-stroke Individuals.

Justin Liu1, Hyun Bin Kim2, Steven L Wolf1,3, Trisha M Kesar4.   

Abstract

Real-time biofeedback is a promising post-stroke gait rehabilitation strategy that can target specific gait deficits preferentially in the paretic leg. Our previous work demonstrated that the use of an audiovisual biofeedback interface designed to increase paretic leg propulsion, measured via anterior ground reaction force (AGRF) generation during late stance phase of gait, can induce improvements in peak AGRF production of the targeted and paretic limb of able-bodied and post-stroke individuals, respectively. However, whether different modes of biofeedback, such as visual, auditory, or a combination of both, have differential effects on AGRF generation is unknown. The present study investigated the effects of audio only, visual only, or audiovisual AGRF biofeedback in able-bodied and post-stroke individuals. Seven able-bodied (6 females, 27 ± 2 years) and nine post-stroke individuals (6 females, 54 ± 12 years, 42 ± 26 months post-stroke) completed four 30-s walking trials on a treadmill under 4 conditions: no biofeedback, audio biofeedback, visual biofeedback, or audiovisual biofeedback. Compared to walking without biofeedback, all three biofeedback modes significantly increased peak AGRF in the targeted and paretic leg. There was no significant difference in peak AGRF between the three biofeedback modes. Able-bodied individuals demonstrated greater feedback-induced increase in stride-to-stride variation of AGRF generation during audio biofeedback compared to visual biofeedback; however, similar results were not observed in the post-stroke group. The present findings may inform future development of real-time gait biofeedback interfaces for use in clinical or community environments.

Entities:  

Keywords:  Biofeedback; Gait biomechanics; Gait training; Paretic propulsion; Post-stroke hemiparesis

Mesh:

Year:  2020        PMID: 32347399      PMCID: PMC7447533          DOI: 10.1007/s10484-020-09464-1

Source DB:  PubMed          Journal:  Appl Psychophysiol Biofeedback        ISSN: 1090-0586


  27 in total

Review 1.  Nature, timing, frequency and type of augmented feedback; does it influence motor relearning of the hemiparetic arm after stroke? A systematic review.

Authors:  Birgit I Molier; Edwin H F Van Asseldonk; Hermie J Hermens; Michiel J A Jannink
Journal:  Disabil Rehabil       Date:  2010       Impact factor: 3.033

2.  Is automaticity of walking regained after stroke?

Authors:  Colleen G Canning; Louise Ada; Serene S Paul
Journal:  Disabil Rehabil       Date:  2006-01-30       Impact factor: 3.033

3.  Learning effects of dynamic postural control by auditory biofeedback versus visual biofeedback training.

Authors:  Naoya Hasegawa; Kenta Takeda; Moe Sakuma; Hiroki Mani; Hiroshi Maejima; Tadayoshi Asaka
Journal:  Gait Posture       Date:  2017-08-02       Impact factor: 2.840

4.  Biofeedback improves performance in lower limb activities more than usual therapy in people following stroke: a systematic review.

Authors:  Rosalyn Stanton; Louise Ada; Catherine M Dean; Elisabeth Preston
Journal:  J Physiother       Date:  2016-11-25       Impact factor: 7.000

5.  Efficacy of gait training using a treadmill with and without visual biofeedback in patients after stroke: A randomized study.

Authors:  Mariusz Drużbicki; Agnieszka Guzik; Grzegorz Przysada; Andrzej Kwolek; Agnieszka Brzozowska-Magoń
Journal:  J Rehabil Med       Date:  2015-05       Impact factor: 2.912

6.  Locomotor rehabilitation of individuals with chronic stroke: difference between responders and nonresponders.

Authors:  Mark G Bowden; Andrea L Behrman; Richard R Neptune; Chris M Gregory; Steven A Kautz
Journal:  Arch Phys Med Rehabil       Date:  2012-12-05       Impact factor: 3.966

7.  Evaluation of electromyographic biofeedback as an adjunct to therapeutic exercise in treating the lower extremities of hemiplegic patients.

Authors:  S A Binder; C B Moll; S L Wolf
Journal:  Phys Ther       Date:  1981-06

8.  Electromyographic biofeedback applications to the hemiplegic patient. Changes in upper extremity neuromuscular and functional status.

Authors:  S L Wolf; S A Binder-MacLeod
Journal:  Phys Ther       Date:  1983-09

9.  Targeting paretic propulsion to improve poststroke walking function: a preliminary study.

Authors:  Louis N Awad; Darcy S Reisman; Trisha M Kesar; Stuart A Binder-Macleod
Journal:  Arch Phys Med Rehabil       Date:  2013-12-28       Impact factor: 3.966

10.  Changes in Gait Symmetry After Training on a Treadmill with Biofeedback in Chronic Stroke Patients: A 6-Month Follow-Up From a Randomized Controlled Trial.

Authors:  Mariusz Drużbicki; Agnieszka Guzik; Grzegorz Przysada; Andrzej Kwolek; Agnieszka Brzozowska-Magoń; Marek Sobolewski
Journal:  Med Sci Monit       Date:  2016-12-11
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  2 in total

Review 1.  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

2.  Linking gait mechanics with perceived quality of life and participation after stroke.

Authors:  David M Rowland; Michael D Lewek
Journal:  PLoS One       Date:  2022-09-21       Impact factor: 3.752

  2 in total

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