BN5209 Neurosensors and Signal Processing Semester 2, 2014\/2015<\/p>\n
Time period: 14-Jan-14 To 9-May-14
\nLecture Time:<\/p>\n
1. EEG for brain state monitoring
\n2. EEG\/EMG Feature Identification during Elbow Flexion\/Extension<\/p>\n
This module teaches students the advanced neuroengineering principles ranging from basic neuroscience introduction to neurosensing technology as well as advanced signal processing techniques. Major 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 Take Home Tests (5 for 50%) <!–<\/p>\n –><\/p>\n","protected":false},"excerpt":{"rendered":" BN5209 Neurosensors and Signal Processing Semester 2, 2014\/2015 SCHEDULE Time period: 14-Jan-14 To 9-May-14 Lecture Time: Tuesday: 5 pm – 7 pm (E3-06-04) Friday: 5 pm – 7 pm (EA-06-03) Syllabus Week 1: Jan 13,16 Intro to the Course (NT,HR) Intro to Neurosciences (NT) Week 2: Jan 20,23 Neural recording\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":[42,37],"tags":[48],"class_list":["post-1190","post","type-post","status-publish","format-standard","hentry","category-bn5209","category-teaching","tag-48"],"_links":{"self":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/1190","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=1190"}],"version-history":[{"count":1,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/1190\/revisions"}],"predecessor-version":[{"id":2928,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/posts\/1190\/revisions\/2928"}],"wp:attachment":[{"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/media?parent=1190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/categories?post=1190"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.labren.org\/mm\/wp-json\/wp\/v2\/tags?post=1190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nBasic circuits
\nLinear algebra (matrix\/vector)
\nMatlab or other programming
\nRecommended Textbooks: Neural Engineering, Edited by Bin He<\/a>
\nSeminar papers<\/p>\nTEACHING MODES<\/h2>\n
ASSESSMENT<\/h2>\n
\nLabs\/Projects Reports + Presentations (2 for 20%)
\nSeminars (1 for 10%)
\nTake Home Final Exam(20% )
\n <\/p>\nIVLE Registration and Information<\/a><\/h3>\n
\n
Lectures and Guest Lectures<\/h3>\n