Somatosensory Feedback for Neuroprosthetics

Journal: Somatosensory Feedback for Neuroprosthetics

Academic Press

Publications 1 - 1 of 1

Modern approaches of signal processing for bidirectional neural interfaces
Cimolato, Andrea; Katic, Natalija; Raspopovic, Stanisa (2021)
Somatosensory Feedback for Neuroprosthetics ~ Somatosensory Feedback for Neuroprosthetics
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.

Publications 1 - 1 of 1