Neural encoding of artificial sensations evoked by peripheral nerve stimulation for neuroprosthetic applications
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Date
2023Type
- Book Chapter
ETH Bibliography
yes
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Abstract
Restoring sensory feedback in prostheses is critical in the pursuit of high functional performance, heightened embodiment, and improved limb acceptance. While early efforts have focused on the functional effect of adding sensory feedback, recent studies have shown the benefits and feasibility of using different encoding strategies to provide artificial somatosensory information to the users. More specifically, sensory encoding based on nerve stimulation has been used by multiple research groups to provide tactile feedback to limb amputees. In this chapter, we report the possibility of providing sensory feedback using electrical peripheral nerve stimulation, and we highlight the differences among the sensory encoding schemes. We present methods that are exploiting implantable neuro-stimulating devices physically connected with the nerves (neural interfaces) and noninvasive stimulating devices targeting the peripheral nerves through the skin. Moreover, we report novel adaptive methods based on artificial intelligence for optimizing the neurostimulation parameters for application in somatosensory neuroprosthetics. These insights may help guide the development of future multimodal neuroprosthetic limbs. Show more
Publication status
publishedBook title
Artificial Intelligence in Tissue and Organ RegenerationPages / Article No.
Publisher
Academic PressSubject
Artificial intelligence applications; Biomedical engineering; Brain stimulation; Nervous system; Prosthetics; Therapeutic procedure; Sensory restorationMore
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ETH Bibliography
yes
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