Literature DB >> 31825868

A case study with SymbiHand: an sEMG-controlled electrohydraulic hand orthosis for individuals with Duchenne muscular dystrophy.

Ronald A Bos, Kostas Nizamis, Bart F J M Koopman, Just L Herder, Massimo Sartori, Dick H Plettenburg.   

Abstract

With recent improvements in healthcare, individuals with Duchenne muscular dystrophy (DMD) have prolonged life expectancy, and it is therefore vital to preserve their independence. Hand function plays a central role in maintaining independence in daily living. This requires sufficient grip force and the ability to modulate it with no substantially added effort. Individuals with DMD have low residual grip force and its modulation is challenging and fatiguing. To assist their hand function, we developed a novel dynamic hand orthosis called SymbiHand, where the user's hand motor intention is decoded by means of surface electromyography, enabling the control of an electrohydraulic pump for actuation. Mechanical work is transported using hydraulic transmission and flexible structures to redirect interaction forces, enhancing comfort by minimizing shear forces. This paper outlines SymbiHand's design and control, and a case study with an individual with DMD. Results show that SymbiHand increased the participant's maximum grasping force from 2.4 to 8 N. During a grasping force-tracking task, muscular activation was decreased by more than 40% without compromising task performance. These results suggest that SymbiHand has the potential to decrease muscular activation and increase grasping force for individuals with DMD, adding to the hand a total mass of no more than 241 g. Changes in mass distributions and an active thumb support are necessary for improved usability, in addition to larger-scale studies for generalizing its assistive potential.

Entities:  

Year:  2019        PMID: 31825868     DOI: 10.1109/TNSRE.2019.2952470

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  6 in total

1.  A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction.

Authors:  Manli Zhu; Qianhui Men; Edmond S L Ho; Howard Leung; Hubert P H Shum
Journal:  J Med Syst       Date:  2022-10-06       Impact factor: 4.920

2.  Characterization of Forearm Muscle Activation in Duchenne Muscular Dystrophy via High-Density Electromyography: A Case Study on the Implications for Myoelectric Control.

Authors:  Kostas Nizamis; Noortje H M Rijken; Robbert van Middelaar; João Neto; Bart F J M Koopman; Massimo Sartori
Journal:  Front Neurol       Date:  2020-04-15       Impact factor: 4.003

3.  Remote Actuation Systems for Fully Wearable Assistive Devices: Requirements, Selection, and Optimization for Out-of-the-Lab Application of a Hand Exoskeleton.

Authors:  Jan Dittli; Urs A T Hofmann; Tobias Bützer; Gerwin Smit; Olivier Lambercy; Roger Gassert
Journal:  Front Robot AI       Date:  2021-01-28

Review 4.  Intention Detection Strategies for Robotic Upper-Limb Orthoses: A Scoping Review Considering Usability, Daily Life Application, and User Evaluation.

Authors:  Jessica Gantenbein; Jan Dittli; Jan Thomas Meyer; Roger Gassert; Olivier Lambercy
Journal:  Front Neurorobot       Date:  2022-02-21       Impact factor: 2.650

5.  Reducing the number of EMG electrodes during online hand gesture classification with changing wrist positions.

Authors:  Luis Pelaez Murciego; Mauricio C Henrich; Erika G Spaich; Strahinja Dosen
Journal:  J Neuroeng Rehabil       Date:  2022-07-21       Impact factor: 5.208

Review 6.  Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges.

Authors:  Kostas Nizamis; Alkinoos Athanasiou; Sofia Almpani; Christos Dimitrousis; Alexander Astaras
Journal:  Sensors (Basel)       Date:  2021-03-16       Impact factor: 3.576

  6 in total

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