Literature DB >> 22255889

Sensorimotor enhancement with a mixed reality system for balance and mobility rehabilitation.

Joyce Fung1, Claire F Perez.   

Abstract

We have developed a mixed reality system incorporating virtual reality (VR), surface perturbations and light touch for gait rehabilitation. Haptic touch has emerged as a novel and efficient technique to improve postural control and dynamic stability. Our system combines visual display with the manipulation of physical environments and addition of haptic feedback to enhance balance and mobility post stroke. A research study involving 9 participants with stroke and 9 age-matched healthy individuals show that the haptic cue provided while walking is an effective means of improving gait stability in people post stroke, especially during challenging environmental conditions such as downslope walking.

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Year:  2011        PMID: 22255889     DOI: 10.1109/IEMBS.2011.6091666

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  10 in total

1.  Rehabilitation of walking after stroke.

Authors:  Mark G Bowden; Aaron E Embry; Lindsay A Perry; Pamela W Duncan
Journal:  Curr Treat Options Neurol       Date:  2012-12       Impact factor: 3.598

2.  Walking with wider steps increases stance phase gluteus medius activity.

Authors:  Samantha N Kubinski; Christina A McQueen; Keir A Sittloh; Jesse C Dean
Journal:  Gait Posture       Date:  2014-09-28       Impact factor: 2.840

3.  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

4.  Effects of kinesthetic haptic feedback on standing stability of young healthy subjects and stroke patients.

Authors:  Muhammad Raheel Afzal; Ha-Young Byun; Min-Kyun Oh; Jungwon Yoon
Journal:  J Neuroeng Rehabil       Date:  2015-03-13       Impact factor: 4.262

5.  The effect of age and body mass index on plantar cutaneous sensation in healthy women.

Authors:  Eylem Tütün Yümin; Tülay Tarsuslu Şimşek; Meral Sertel; Handan Ankaralı
Journal:  J Phys Ther Sci       Date:  2016-09-29

Review 6.  Movement visualisation in virtual reality rehabilitation of the lower limb: a systematic review.

Authors:  Luara Ferreira Dos Santos; Oliver Christ; Kedar Mate; Henning Schmidt; Jörg Krüger; Christian Dohle
Journal:  Biomed Eng Online       Date:  2016-12-19       Impact factor: 2.819

7.  Evaluating the effects of delivering integrated kinesthetic and tactile cues to individuals with unilateral hemiparetic stroke during overground walking.

Authors:  Muhammad Raheel Afzal; Sanghun Pyo; Min-Kyun Oh; Young Sook Park; Jungwon Yoon
Journal:  J Neuroeng Rehabil       Date:  2018-04-16       Impact factor: 4.262

8.  A Deep Learning Model for Stroke Patients' Motor Function Prediction.

Authors:  Abeer Abdulaziz AlArfaj; Hanan A Hosni Mahmoud; Alaaeldin M Hafez
Journal:  Appl Bionics Biomech       Date:  2022-08-05       Impact factor: 1.664

9.  Virtual reality interface devices in the reorganization of neural networks in the brain of patients with neurological diseases.

Authors:  Valeska Gatica-Rojas; Guillermo Méndez-Rebolledo
Journal:  Neural Regen Res       Date:  2014-04-15       Impact factor: 5.135

10.  Manual physical balance assistance of therapists during gait training of stroke survivors: characteristics and predicting the timing.

Authors:  Juliet A M Haarman; Erik Maartens; Herman van der Kooij; Jaap H Buurke; Jasper Reenalda; Johan S Rietman
Journal:  J Neuroeng Rehabil       Date:  2017-12-02       Impact factor: 4.262

  10 in total

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