Literature DB >> 22254815

MusicGlove: motivating and quantifying hand movement rehabilitation by using functional grips to play music.

Nizan Friedman1, Vicky Chan, Danny Zondervan, Mark Bachman, David J Reinkensmeyer.   

Abstract

People with stroke typically must perform much of their hand exercise at home without professional assistance as soon as two weeks after the stroke. Without feedback and encouragement, individuals often lose motivation to practice using the affected hand, and this disuse contributes to further declines in hand function. We developed the MusicGlove as a way to facilitate and motivate at home practice of hand movement. This low-cost device uses music as an interactive and motivating medium to guide hand exercise and to quantitatively assess hand movement recovery. It requires the user to practice functional movements, including pincer grip, key-pinch grip, and finger-thumb opposition, by using those movements to play different musical notes, played along to songs displayed by an interactive computer game. We report here the design of the glove and the results of a single-session experiment with 10 participants with chronic stroke. We found that the glove is well suited for use by people with an impairment level quantified by a Box and Blocks score of at least around 7; that the glove can be used to obtain a measure of hand dexterity (% of notes hit) that correlates strongly with the Box and Blocks score; and that the incorporation of music into training significantly improved both objective measures of hand motor performance and self-ratings of motivation for training in the single session.

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Year:  2011        PMID: 22254815     DOI: 10.1109/IEMBS.2011.6090659

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


  9 in total

1.  Single degree-of-freedom exoskeleton mechanism design for finger rehabilitation.

Authors:  Eric T Wolbrecht; David J Reinkensmeyer; Alba Perez-Gracia
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

2.  Robot-assisted Guitar Hero for finger rehabilitation after stroke.

Authors:  Hossein Taheri; Justin B Rowe; David Gardner; Vicky Chan; David J Reinkensmeyer; Eric T Wolbrecht
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

3.  Music meets robotics: a prospective randomized study on motivation during robot aided therapy.

Authors:  Kilian Baur; Florina Speth; Aniket Nagle; Robert Riener; Verena Klamroth-Marganska
Journal:  J Neuroeng Rehabil       Date:  2018-08-16       Impact factor: 4.262

4.  Manual Dexterity and Aging: A Pilot Study Disentangling Sensorimotor From Cognitive Decline.

Authors:  Loic Carment; Abir Abdellatif; Carmelo Lafuente-Lafuente; Sylvie Pariel; Marc A Maier; Joël Belmin; Påvel G Lindberg
Journal:  Front Neurol       Date:  2018-10-29       Impact factor: 4.003

5.  tDCS over the primary motor cortex contralateral to the trained hand enhances cross-limb transfer in older adults.

Authors:  Elisabeth Kaminski; Tom Maudrich; Pauline Bassler; Madeleine Ordnung; Arno Villringer; Patrick Ragert
Journal:  Front Aging Neurosci       Date:  2022-09-20       Impact factor: 5.702

6.  Feasibility of Wearable Sensing for In-Home Finger Rehabilitation Early After Stroke.

Authors:  Quentin Sanders; Vicky Chan; Renee Augsburger; Steven C Cramer; David J Reinkensmeyer; An H Do
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-04-15       Impact factor: 4.528

7.  Retraining and assessing hand movement after stroke using the MusicGlove: comparison with conventional hand therapy and isometric grip training.

Authors:  Nizan Friedman; Vicky Chan; Andrea N Reinkensmeyer; Ariel Beroukhim; Gregory J Zambrano; Mark Bachman; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2014-04-30       Impact factor: 4.262

8.  A day in the life: a qualitative study of clinical decision-making and uptake of neurorehabilitation technology.

Authors:  Courtney Celian; Veronica Swanson; Maahi Shah; Caitlin Newman; Bridget Fowler-King; Sarah Gallik; Kaitlin Reilly; David J Reinkensmeyer; James Patton; Miriam R Rafferty
Journal:  J Neuroeng Rehabil       Date:  2021-07-28       Impact factor: 4.262

9.  Sensing System for Plegic or Paretic Hands Self-Training Motivation.

Authors:  Igor Zubrycki; Ewa Prączko-Pawlak; Ilona Dominik
Journal:  Sensors (Basel)       Date:  2022-03-21       Impact factor: 3.576

  9 in total

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