Literature DB >> 19592786

Assessment and treatment of the upper limb by means of virtual reality in post-stroke patients.

Lamberto Piron1, Andrea Turolla, Michela Agostini, Carla Zucconi, Paolo Tonin, Francesco Piccione, Mauro Dam.   

Abstract

The disability deriving from stroke impacts heavily on the economic and social aspects of western countries because stroke survivors commonly experience various degrees of autonomy reduction in the activities of daily living. Recent developments in neuroscience, neurophysiology and computational science have led to innovative theories about the brain mechanisms of the motor system. Thereafter, innovative, scientifically based therapeutic strategies have initially arisen in the rehabilitation field. Promising results from the application of a virtual reality based technique for arm rehabilitation are reported.

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Mesh:

Year:  2009        PMID: 19592786

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

1.  ReHabgame: A non-immersive virtual reality rehabilitation system with applications in neuroscience.

Authors:  Shabnam Sadeghi Esfahlani; Tommy Thompson; Ali Davod Parsa; Ian Brown; Silvia Cirstea
Journal:  Heliyon       Date:  2018-02-12

2.  Sensorimotor, Attentional, and Neuroanatomical Predictors of Upper Limb Motor Deficits and Rehabilitation Outcome after Stroke.

Authors:  Daniela D'Imperio; Zaira Romeo; Lorenza Maistrello; Eugenia Durgoni; Camilla Della Pietà; Michele De Filippo De Grazia; Francesca Meneghello; Andrea Turolla; Marco Zorzi
Journal:  Neural Plast       Date:  2021-04-01       Impact factor: 3.599

3.  Virtual reality for the rehabilitation of the upper limb motor function after stroke: a prospective controlled trial.

Authors:  Andrea Turolla; Mauro Dam; Laura Ventura; Paolo Tonin; Michela Agostini; Carla Zucconi; Pawel Kiper; Annachiara Cagnin; Lamberto Piron
Journal:  J Neuroeng Rehabil       Date:  2013-08-01       Impact factor: 4.262

4.  Reinforced Feedback in Virtual Environment for Plantar Flexor Poststroke Spasticity Reduction and Gait Function Improvement.

Authors:  Carlos Luque-Moreno; Fátima Cano-Bravo; Pawel Kiper; Ignacio Solís-Marcos; Jose A Moral-Munoz; Michela Agostini; Ángel Oliva-Pascual-Vaca; Andrea Turolla
Journal:  Biomed Res Int       Date:  2019-12-25       Impact factor: 3.411

5.  Deep Learning-Based Image Automatic Assessment and Nursing of Upper Limb Motor Function in Stroke Patients.

Authors:  Xue Chen; Yuanyuan Shi; Yanjun Wang; Yuanjuan Cheng
Journal:  J Healthc Eng       Date:  2021-08-24       Impact factor: 2.682

  5 in total

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