Motion control of the rabbit ankle joint with a flat interface nerve electrode

Park, Hyun Joo; Durand, Dominique M.

doi:10.1002/mus.24654

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…The amplitude of the action potentials detected by extraneural interfaces is much lower than in the case of intraneural interfaces and depends on the distance of the electrodes from the active axons [12]. Extraneural interfaces have been widely applied in acute studies of motor behavior, for recording and stimulation of peripheral nerves of cats [38,39,41,42], rabbits [9,43,44], dogs [45,46], rodents [47], human models [48], and human subjects [49][50][51][52][53][54]. Previous work [55] on the development and implementation of FINE has achieved many breakthroughs, including (i) a high degree of selectivity, as estimated by indi vidual fascicle recording; (ii) use of blind source algorithms to decode motor commands; and (iii) (by employing arrays of interfaces along the peripheral nerve) excitation of fibers hav ing small diameters before large fibers, thereby reversing the usual recruitment order.…”

Section: Extra-neural Interfacesmentioning

confidence: 99%

Motor-commands decoding using peripheral nerve signals: a review

2018

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During the last few decades, substantial scientific and technological efforts have been focused on the development of neuroprostheses. The major emphasis has been on techniques for connecting the human nervous system with a robotic prosthesis via natural-feeling interfaces. The peripheral nerves provide access to highly processed and segregated neural command signals from the brain that can in principle be used to determine user intent and control muscles. If these signals could be used, they might allow near-natural and intuitive control of prosthetic limbs with multiple degrees of freedom. This review summarizes the history of neuroprosthetic interfaces and their ability to record from and stimulate peripheral nerves. We also discuss the types of interfaces available and their applications, the kinds of peripheral nerve signals that are used, and the algorithms used to decode them. Finally, we explore the prospects for future development in this area.

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Section: Extra-neural Interfacesmentioning

confidence: 99%

Motor-commands decoding using peripheral nerve signals: a review

2018

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“…Reconstruction of fast motion by peripheral nerve stimulation was reported by H.J. Park et al [ 30 ], but their study used a large power source and a wired connection between the power source and the nerve. Hence, the proposed method will contribute to reconstructing functional motion for patients with peripheral nerve injury or disorder using a wirelessly powered implantable device.…”

Section: Discussionmentioning

confidence: 99%

A Wirelessly Powered 4-Channel Neurostimulator for Reconstructing Walking Trajectory

Takeuchi

Tokutake

Watanabe

et al. 2022

Sensors

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A wirelessly powered four-channel neurostimulator was developed for applying selective Functional Electrical Stimulation (FES) to four peripheral nerves to control the ankle and knee joints of a rat. The power of the neurostimulator was wirelessly supplied from a transmitter device, and the four nerves were connected to the receiver device, which controlled the ankle and knee joints in the rat. The receiver device had functions to detect the frequency of the transmitter signal from the transmitter coil. The stimulation site of the nerves was selected according to the frequency of the transmitter signal. The rat toe position was controlled by changing the angles of the ankle and knee joints. The joint angles were controlled by the stimulation current applied to each nerve independently. The stimulation currents were adjusted by the Proportional Integral Differential (PID) and feed-forward control method through a visual feedback control system, and the walking trajectory of a rat’s hind leg was reconstructed. This study contributes to controlling the multiple joints of a leg and reconstructing functional motions such as walking using the robotic control technology.

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“…FINE can be designed in a multi-channel configuration and, moreover, compresses and reshapes the nerve into a flatter conformation, thereby allowing the central fascicles to be closer to the surface and providing more selective axonal population activation (Fig. 3) [63,66,105,151,161]. Additionally, intraoperative studies in the human femoral nerve showed that muscles innervated by the femoral nerve could be independently and selectively stimulated with a FINE device [133].…”

Section: Flat Interface Nerve Electrodesmentioning

confidence: 99%

Interfacing with the nervous system: a review of current bioelectric technologies

et al. 2017

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The aim of this study is to discuss the state of the art with regard to established or promising bioelectric therapies meant to alter or control neurologic function. We present recent reports on bioelectric technologies that interface with the nervous system at three potential sites-(1) the end organ, (2) the peripheral nervous system, and (3) the central nervous system-while exploring practical and clinical considerations.

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Motion control of the rabbit ankle joint with a flat interface nerve electrode

Cited by 7 publications

References 24 publications

Motor-commands decoding using peripheral nerve signals: a review

Motor-commands decoding using peripheral nerve signals: a review

A Wirelessly Powered 4-Channel Neurostimulator for Reconstructing Walking Trajectory

Interfacing with the nervous system: a review of current bioelectric technologies

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