Design of an Electrohydraulic Hand Orthosis for People with Duchenne Muscular Dystrophy Using Commercially Available Components

Bos, Ronald A.; Nizamis, Kostas; Plettenburg, Dick H.; Herder, Just L.

doi:10.1109/biorob.2018.8487196

Cited by 13 publications

(31 citation statements)

References 27 publications

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“…Lastly, an analysis of the homogeneity of activations needs to be carried out using HD-sEMG, as it is known that different joint positions and contraction strength and duration may cause muscles to activate in a non-homogeneous manner (21). The results of this study together with the future studies will be further used for the development of myocontrol algorithms for the robust control of an active hand exoskeleton (29,62), developed within the Symbionics project (63) for individuals with DMD.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2020

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Duchenne muscular dystrophy (DMD) is a genetic disorder that results in progressive muscular degeneration. Although medical advances increased their life expectancy, DMD individuals are still highly dependent on caregivers. Hand/wrist function is central for providing independence, and robotic exoskeletons are good candidates for effectively compensating for deteriorating functionality. Robotic hand exoskeletons require the accurate decoding of motor intention typically via surface electromyography (sEMG). Traditional low-density sEMG was used in the past to explore the muscular activations of individuals with DMD; however, it cannot provide high spatial resolution. This study characterized, for the first time, the forearm high-density (HD) electromyograms of three individuals with DMD while performing seven hand/wrist-related tasks and compared them to eight healthy individuals (all data available online). We looked into the spatial distribution of HD-sEMG patterns by using principal component analysis (PCA) and also assessed the repeatability and the amplitude distributions of muscle activity. Additionally, we used a machine learning approach to assess DMD individuals' potentials for myocontrol. Our analysis showed that although participants with DMD were able to repeat similar HD-sEMG patterns across gestures (similarly to healthy participants), a fewer number of electrodes was activated during their gestures compared to the healthy participants. Additionally, participants with DMD activated their muscles close to maximal contraction level (0.63 ± 0.23), whereas healthy participants had lower normalized activations (0.26 ± 0.2). Lastly, participants with DMD showed on average fewer PCs (3), explaining 90% of the complete gesture space than the healthy (5). However, the ability of the DMD participants to produce repeatable HD-sEMG patterns was unexpectedly comparable to that of healthy participants, and the same holds true for their offline myocontrol performance, disproving our hypothesis and suggesting a clear potential for the myocontrol of wearable exoskeletons. Our findings present evidence for the first

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Section: Discussionmentioning

confidence: 99%

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

et al. 2020

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“…However, this prototype was not tested with an individual with DMD, by the time this thesis was submitted. The second prototype ( Figure 1.5B) orthosis [59] is based in the use of miniature hydraulics to transmit mechanical work and underactuate all fingers. The initial design of the prototype was based on commercially [59], resulting in a low weight hand orthosis (150 g).…”

Section: Developmentsmentioning

confidence: 99%

“…The second prototype ( Figure 1.5B) orthosis [59] is based in the use of miniature hydraulics to transmit mechanical work and underactuate all fingers. The initial design of the prototype was based on commercially [59], resulting in a low weight hand orthosis (150 g). Later, it was extended with the use of customized components with a new weight of 213 g and was named SymbiHand.…”

Section: Developmentsmentioning

confidence: 99%

“…This is an important requirement for the donning and doffing in individuals with DMD, especially in the case of contractures and stiff fingers, were a glove like design would be insufficient. This prototype was evaluated for its capacity to provide the needed bandwidth for hand movements [59] and it was further tested with an individual with DMD (Chapter 7). Both prototypes developed within the Symbionics 1.3 project, lack a thumb and a wrist module.…”

Section: Developmentsmentioning

confidence: 99%

“…Repeatability, spatial distribution and distinguishability of HD-sEMG patterns together with offline classification performance are important requirements that can provide with a better understanding of DMD motor control with regard to robotic applications. This will assist the development of an intuitive motor decoding paradigm for the control of the wearable active hand exoskeleton [59] we have developed in the Flextension Symbionics project [121] for individuals with DMD.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hand neuro-motor characterization and motor intention decoding in Duchenne muscular dystrophy

Nizamis¹

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A Prosthetic Gripper with Three Opposing Fingers Driven by a Hydraulic Actuator

Yuma

Yoshikawa

2020

2020 42nd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Design of an Electrohydraulic Hand Orthosis for People with Duchenne Muscular Dystrophy Using Commercially Available Components

Cited by 13 publications

References 27 publications

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

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

Hand neuro-motor characterization and motor intention decoding in Duchenne muscular dystrophy

A Prosthetic Gripper with Three Opposing Fingers Driven by a Hydraulic Actuator

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