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      Six-Month Assessment of a Hand Prosthesis with Intraneural Tactile Feedback : Hand Prosthesis

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          Abstract

          Hand amputation is a highly disabling event, which significantly affects quality of life. An effective hand replacement can be achieved if the user, in addition to motor functions, is provided with the sensations that are naturally perceived while grasping and moving. Intraneural peripheral electrodes have shown promising results toward the restoration of the sense of touch. However, the long-term usability and clinical relevance of intraneural sensory feedback have not yet been clearly demonstrated.

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          Most cited references48

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          Coding and use of tactile signals from the fingertips in object manipulation tasks.

          During object manipulation tasks, the brain selects and implements action-phase controllers that use sensory predictions and afferent signals to tailor motor output to the physical properties of the objects involved. Analysis of signals in tactile afferent neurons and central processes in humans reveals how contact events are encoded and used to monitor and update task performance.
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            Restoring natural sensory feedback in real-time bidirectional hand prostheses.

            Hand loss is a highly disabling event that markedly affects the quality of life. To achieve a close to natural replacement for the lost hand, the user should be provided with the rich sensations that we naturally perceive when grasping or manipulating an object. Ideal bidirectional hand prostheses should involve both a reliable decoding of the user's intentions and the delivery of nearly "natural" sensory feedback through remnant afferent pathways, simultaneously and in real time. However, current hand prostheses fail to achieve these requirements, particularly because they lack any sensory feedback. We show that by stimulating the median and ulnar nerve fascicles using transversal multichannel intrafascicular electrodes, according to the information provided by the artificial sensors from a hand prosthesis, physiologically appropriate (near-natural) sensory information can be provided to an amputee during the real-time decoding of different grasping tasks to control a dexterous hand prosthesis. This feedback enabled the participant to effectively modulate the grasping force of the prosthesis with no visual or auditory feedback. Three different force levels were distinguished and consistently used by the subject. The results also demonstrate that a high complexity of perception can be obtained, allowing the subject to identify the stiffness and shape of three different objects by exploiting different characteristics of the elicited sensations. This approach could improve the efficacy and "life-like" quality of hand prostheses, resulting in a keystone strategy for the near-natural replacement of missing hands.
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              A neural interface provides long-term stable natural touch perception.

              Touch perception on the fingers and hand is essential for fine motor control, contributes to our sense of self, allows for effective communication, and aids in our fundamental perception of the world. Despite increasingly sophisticated mechatronics, prosthetic devices still do not directly convey sensation back to their wearers. We show that implanted peripheral nerve interfaces in two human subjects with upper limb amputation provided stable, natural touch sensation in their hands for more than 1 year. Electrical stimulation using implanted peripheral nerve cuff electrodes that did not penetrate the nerve produced touch perceptions at many locations on the phantom hand with repeatable, stable responses in the two subjects for 16 and 24 months. Patterned stimulation intensity produced a sensation that the subjects described as natural and without "tingling," or paresthesia. Different patterns produced different types of sensory perception at the same location on the phantom hand. The two subjects reported tactile perceptions they described as natural tapping, constant pressure, light moving touch, and vibration. Changing average stimulation intensity controlled the size of the percept area; changing stimulation frequency controlled sensation strength. Artificial touch sensation improved the subjects' ability to control grasping strength of the prosthesis and enabled them to better manipulate delicate objects. Thus, electrical stimulation through peripheral nerve electrodes produced long-term sensory restoration after limb loss.
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                Author and article information

                Journal
                Annals of Neurology
                Ann Neurol
                Wiley
                03645134
                December 24 2018
                Affiliations
                [1 ]Bertarelli Foundation Chair in Translational Neuroengineering, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering; Swiss Federal Institute of Technology of Lausanne (EPFL); Lausanne Switzerland
                [2 ]Biorobotics Institute; Sant'Anna School of Advanced Studies (SSSA); Pisa Italy
                [3 ]Institute of Neurology; Catholic University; Rome Italy
                [4 ]Department of Geriatrics, Neuroscience, and Orthopedics; Policlinic A. Gemelli Foundation-IRCCS; Rome Italy
                [5 ]Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering-IMTEK, Bernstein Center Freiburg and BrainLinks-BrainTools Center; University of Freiburg; Freiburg Germany
                [6 ]Department of Electrical and Electronic Engineering; University of Cagliari; Cagliari Italy
                [7 ]INRIA, CAMIN Team; University of Montpellier; Montpellier France
                [8 ]Axonic; Vallauris France
                [9 ]Laboratory for Neuroengineering, Department of Health Sciences and Technology; Institute for Robotics and Intelligent Systems; ETH Zürich, Zürich Switzerland
                Article
                10.1002/ana.25384
                30474259
                cf1c9b4e-252a-48ea-a10d-553e85806c7b
                © 2018

                http://doi.wiley.com/10.1002/tdm_license_1.1

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