Literature DB >> 24561320

Customized device for pediatric upper limb rehabilitation in obstetric brachial palsy.

Natalia M López1, Nicolás de Diego, Rafael Hernández, Elisa Pérez, Gustavo Ensinck, Max E Valentinuzzi.   

Abstract

A 12-yr-old child, with a history of gestational Erb-Duchenne palsy and, later, musculoskeletal injuries in the left arm caused by a car accident, inspired the design of a customized exoskeleton-like device. Such piece, intended for rehabilitation, has one degree of freedom because the exercise routine involves elbow flexion-extension, which was indicated for the damaged muscular group. The device has two functioning modes, passive and assisted, in which the patient can trigger the movement by a biceps contraction, thus promoting the active role of the user in the rehabilitation process. The results were evaluated in terms of qualitative measures of the biceps and the triceps performed by the medical staff and by a questionnaire related to functional activities of the upper limb. A significant improvement in the arm movement and elbow angle was observed after 3 mos of assisted therapy, complementary to conventional exercises. In conclusion, a simple and low-cost device was designed and tested to complement the rehabilitation process of a pediatric patient with physical impairment.

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Mesh:

Year:  2014        PMID: 24561320     DOI: 10.1097/PHM.0b013e3182a51c95

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  3 in total

1.  Mobile Mechatronic/Robotic Orthotic Devices to Assist-Rehabilitate Neuromotor Impairments in the Upper Limb: A Systematic and Synthetic Review.

Authors:  Gelu Onose; Nirvana Popescu; Constantin Munteanu; Vlad Ciobanu; Corina Sporea; Marian-Daniel Mirea; Cristina Daia; Ioana Andone; Aura Spînu; Andrada Mirea
Journal:  Front Neurosci       Date:  2018-09-05       Impact factor: 4.677

Review 2.  Robotic devices for paediatric rehabilitation: a review of design features.

Authors:  Alberto Gonzalez; Lorenzo Garcia; Jeff Kilby; Peter McNair
Journal:  Biomed Eng Online       Date:  2021-09-06       Impact factor: 2.819

3.  Statistical Validation for Clinical Measures: Repeatability and Agreement of Kinect™-Based Software.

Authors:  Natalia Lopez; Elisa Perez; Emanuel Tello; Alejandro Rodrigo; Max E Valentinuzzi
Journal:  Biomed Res Int       Date:  2018-03-20       Impact factor: 3.411

  3 in total

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