BN5209 Neurosensors and Signal Processing Semester 2, 2013\/2014<\/p>\n
Time period: 14-Jan-14 To 9-May-14
\nLecture Time:<\/p>\n
Please log in dropbox <\/a>to view the materials. This module teaches students the advanced neuroengineering principles ranging from basic neuroscience introduction to neurosensing technology as well as advanced signal processing techniques. \u00a0Major topics include: introduction to neurosciences, neural recording methods, neural circuits, amplifiers, telemetry, stimulation, sensors for measuring the electric field and magnetic field of the brain in relation to brain activities, digitization of brain activities, neural signal processing, brain machine interfaces, neurosurgical systems and applications of neural interfaces. The module is designed for students at Master and PhD levels in Engineering, Science and Medicine.<\/p>\n Basic probability The majority of the course will be in lecture-tutorial format. Some advanced topics will be in the formats of seminar and research presentations.<\/p>\n In Class Quizzes (10 for 20% grade) <!–<\/p>\n –><\/p>\n","protected":false},"excerpt":{"rendered":" BN5209 Neurosensors and Signal Processing Semester 2, 2013\/2014 SCHEDULE Time period: 14-Jan-14 To 9-May-14 Lecture Time: Tuesday: 5 pm – 7 pm (SINAPSE) Thursday: 5 pm – 7 pm\u00a0(SINAPSE) Syllabus Week 1: Mon 13 Jan \u2013 Fri 17 Jan Introduction to the Course and Introduction to Neurosciences, Neurophysiology (Quiz) Week\u2026 Continue reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[37],"tags":[],"class_list":["post-2684","post","type-post","status-publish","format-standard","hentry","category-teaching"],"_links":{"self":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/2684","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/comments?post=2684"}],"version-history":[{"count":0,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/2684\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/media?parent=2684"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/categories?post=2684"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/tags?post=2684"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n1. EEG for brain state monitoring<\/a>
\n2. EEG\/EMG Feature Identification during Elbow Flexion\/Extension<\/a><\/p>\nAIMS & OBJECTIVES<\/h2>\n
PREREQUISITES<\/h2>\n
\nBasic circuits
\nLinear algebra (matrix\/vector)
\nMatlab or other programming
\nRecommended Textbooks: Neural Engineering, Edited by Bin He<\/a><\/p>\nTEACHING MODES<\/h2>\n
ASSESSMENT<\/h2>\n
\nTake Home Tests (2 for 50% or Exam)
\nLabs\/Projects (3 for 30%)<\/p>\nIVLE Registration and Information<\/a><\/h3>\n
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Lectures and Guest Lectures<\/h3>\n