Modern approaches of signal processing for bidirectional neural interfaces
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Author / Producer
Date
2021
Publication Type
Book Chapter
ETH Bibliography
yes
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Abstract
Designing a reliable closed-loop system that would bidirectionally interface with the central and peripheral nervous system represents a major objective for the optimal control of neuroprosthetic devices and neurorehabilitative procedures. For using invasive neural electrodes, in particular, signal processing has been a key component to overcome specific hardware limitations in recording such as telemetry bandwidth, limited number of electrode active sites, and fibrotic tissue formation. Moreover, advances in data processing, such as machine learning and model-driven approaches, have been proposed to address more profound issues in restoring complex somatosensory sensations. Difficulty of targeting different combinations and types of neurons individually and independently, as well as inadequate knowledge about certain synaptic interactions, specific neural organization, and the role of these factors in perception and motor control, remain the biggest obstacles in neuroprostheses. Therefore this chapter introduces modern approaches and future applications of advanced signal processing techniques for neural invasive electrodes for bidirectional neural interfaces.
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Publication status
published
Editor
Book title
Somatosensory Feedback for Neuroprosthetics
Journal / series
Volume
Pages / Article No.
631 - 659
Publisher
Academic Press
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Edition / version
Methods
Software
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Date created
Subject
Signal processing; bidirectional neural interfaces; closed-loop system
Organisational unit
09632 - Raspopovic, Stanisa (ehemalig) / Raspopovic, Stanisa (former)