Effects of Different Tactile Feedback on Myoelectric Closed-Loop Control for Grasping Based on Electrotactile Stimulation

Xu, Heng; Zhang, Dingguo; Huegel, Joel C.; Xu, Wei; Zhu, Xiangyang

doi:10.1109/tnsre.2015.2478153

Cited by 43 publications

(34 citation statements)

References 32 publications

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“…This could contribute to clarifying the role of feedback and to quantifying the benefits of closing the loop in upper-limb prosthetics, especially because there is no unanimous agreement whether and to what extent explicit feedback is functionally useful for prosthesis control. Studies on the topic are indeed often contradictive [14, 22–24] and/or inconclusive [25]. …”

Section: Introductionmentioning

confidence: 99%

Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine grasping

Marković

Schweisfurth

Engels

et al. 2018

J NeuroEngineering Rehabil

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BackgroundSensory feedback is critical for grasping in able-bodied subjects. Consequently, closing the loop in upper-limb prosthetics by providing artificial sensory feedback to the amputee is expected to improve the prosthesis utility. Nevertheless, even though amputees rate the prospect of sensory feedback high, its benefits in daily life are still very much debated. We argue that in order to measure the potential functional benefit of artificial sensory feedback, the baseline open-loop performance needs to be established.MethodsThe myoelectric control of naïve able-bodied subjects was evaluated during modulation of electromyographic signals (EMG task), and grasping with a prosthesis (Prosthesis task). The subjects needed to activate the wrist flexor muscles and close the prosthesis to reach a randomly selected target level (routine grasping). To assess the baseline performance, the tasks were performed with a different extent of implicit feedback (proprioception, prosthesis motion and sound). Finally, the prosthesis task was repeated with explicit visual force feedback. The subjects’ ability to scale the prosthesis command/force was assessed by testing for a statistically significant increase in the median of the generated commands/forces between neighboring levels. The quality of control was evaluated by computing the median absolute error (MAE) with respect to the target.ResultsThe subjects could successfully scale their motor commands and generated prosthesis forces across target levels in all tasks, even with the least amount of implicit feedback (only muscle proprioception, EMG task). In addition, the deviation of the generated commands/forces from the target levels decreased with additional feedback. However, the increase in implicit feedback, from proprioception to prosthesis motion and sound, seemed to have a more substantial effect than the final introduction of explicit feedback. Explicit feedback improved the performance mainly at the higher target-force levels.ConclusionsThe study establishes the baseline performance of myoelectric control and prosthesis grasping force. The results demonstrate that even without additional feedback, naïve subjects can effectively modulate force with good accuracy with respect to that achieved when increasing the amount of feedback information.

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Section: Introductionmentioning

confidence: 99%

Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine grasping

Marković

Schweisfurth

Engels

et al. 2018

J NeuroEngineering Rehabil

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“…The commonly used techniques are electro-tactile and vibro-tactile sensory substitutions as well as modality-matched feedback, which use an electric current and mechanical vibration in the residual skin area of the limb. This can help in encoding information on object manipulation, grasping force, elbow angle, and approaching direction (Hsiao et al, 2011 ; Chen et al, 2016 ; Clemente et al, 2016 ; Isakovic et al, 2016 ; Xu et al, 2016 ).…”

Section: Non-invasive Methods Of Sensory Feedbackmentioning

confidence: 99%

Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review

2017

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For those individuals with upper-extremity amputation, a daily normal living activity is no longer possible or it requires additional effort and time. With the aim of restoring their sensory and motor functions, theoretical and technological investigations have been carried out in the field of neuroprosthetic systems. For transmission of sensory feedback, several interfacing modalities including indirect (non-invasive), direct-to-peripheral-nerve (invasive), and cortical stimulation have been applied. Peripheral nerve interfaces demonstrate an edge over the cortical interfaces due to the sensitivity in attaining cortical brain signals. The peripheral nerve interfaces are highly dependent on interface designs and are required to be biocompatible with the nerves to achieve prolonged stability and longevity. Another criterion is the selection of nerves that allows minimal invasiveness and damages as well as high selectivity for a large number of nerve fascicles. In this paper, we review the nerve-machine interface modalities noted above with more focus on peripheral nerve interfaces, which are responsible for provision of sensory feedback. The invasive interfaces for recording and stimulation of electro-neurographic signals include intra-fascicular, regenerative-type interfaces that provide multiple contact channels to a group of axons inside the nerve and the extra-neural-cuff-type interfaces that enable interaction with many axons around the periphery of the nerve. Section Current Prosthetic Technology summarizes the advancements made to date in the field of neuroprosthetics toward the achievement of a bidirectional nerve-machine interface with more focus on sensory feedback. In the Discussion section, the authors propose a hybrid interface technique for achieving better selectivity and long-term stability using the available nerve interfacing techniques.

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“…Despite many advantages, some unexpected feelings such as burning pain may result from electrotactile stimulation, which can be ameliorated by voltage-regulated stimulation and large electrodes. Additionally, another major drawback of electrotactile stimulation is its interference with electromyography (EMG) signal and electroencephalography (EEG) signal, although there are cases which tested electrotactile stimulation with EMG-based and EEG-based rehabilitation system [99], [100]. Studies about how to eliminate the interference when applied with myoelectric prostheses and EEG-based prostheses are discussed in section V-B.…”

Section: A Electrotactile Stimulationmentioning

confidence: 99%

Non-Invasive Stimulation-Based Tactile Sensation for Upper-Extremity Prosthesis: A Review

Fang

Zhou

et al. 2017

IEEE Sensors J.

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An ideal hand prosthesis should provide satisfying functionality based on reliable decoding of the user's intentions and deliver tactile feedback in a natural manner. The absence of tactile feedback impedes the functionality and efficiency of dexterous hand prostheses, which leads to a high rejection rate from prostheses users. Thus, it is expected that integration of tactile feedback with hand prostheses will improve the manipulation performance and enhance perceptual embodiment for users. This paper reviews the state-of-the-art of non-invasive stimulationbased tactile sensation for upper-extremity prostheses, from the physiology of the human skin, to tactile sensing techniques, noninvasive tactile stimulation, and an emphasis on electrotactile feedback. The paper concludes with a detailed discussion of recent applications, challenging issues, and future developments.

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Effects of Different Tactile Feedback on Myoelectric Closed-Loop Control for Grasping Based on Electrotactile Stimulation

Cited by 43 publications

References 32 publications

Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine grasping

Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine grasping

Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review

Non-Invasive Stimulation-Based Tactile Sensation for Upper-Extremity Prosthesis: A Review

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