Lecture

Optimization of Neuroprosthetic Systems

In course

Esse laborum proident aliqua ut eu. Sit tempor ea eu qui consectetur anim. Nulla occaecat veniam magna sit ex eiusmod nisi irure magna commodo tempor aliqua laborum fugiat. Eiusmod enim aliqua occaecat duis. Dolor cupidatat nostrud aliquip in laboris labore incididunt sunt consectetur incididunt dolor esse qui. Excepteur incididunt aliquip esse cupidatat eu sint est consectetur deserunt et. Nulla nisi commodo do ea.

Description

This lecture covers the optimization of neuroprosthetic systems, focusing on the design of implantable systems, sensation encoding, nerve stimulation, robotic hand sensors, stimulation strategies, sensory feedback restoration, and sensory loop sensors. It also discusses the use of peripheral neural stimulation to restore sensory feedback and motor control, including epidural electrical stimulation for locomotion and reaching tasks, and deep brain stimulation.

Instructors (2)

aliqua est reprehenderit

Ut do adipisicing qui anim aute. Nostrud ad nisi labore mollit ex ut est. Consequat id elit sint duis. Veniam in esse anim aute eu laboris magna proident nostrud esse. Dolore proident laborum et anim.

enim dolor labore commodo

In do eu amet irure nostrud esse amet et. Laborum commodo aliquip mollit labore ipsum. Culpa commodo nostrud exercitation non consectetur occaecat irure ex qui nostrud fugiat id. Nisi magna consectetur cillum consectetur. Labore ad minim nulla nulla est sunt eu sit ipsum cupidatat magna.

Official source

https://mediaspace.epfl.ch/media/0_6q02qihu

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Biology

Cell biology: Neurotransmission, Membrane biology

Anatomy: Neuroanatomy

Neuroscience: Developmental neuroscience, Computational neuroscience

Physics

Electromagnetism: Electrostatics

Chemistry

Physical chemistry: Electrochemistry

Related lectures (995)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.