{"id":17565,"date":"2020-09-09T11:13:47","date_gmt":"2020-09-09T11:13:47","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/ec-51-c-biomedical-signal-processing-syllabus-for-et-8th-sem-2017-dbatu-elective-xii\/"},"modified":"2020-09-09T11:13:47","modified_gmt":"2020-09-09T11:13:47","slug":"ec-51-c-biomedical-signal-processing-syllabus-for-et-8th-sem-2017-dbatu-elective-xii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/ec-51-c-biomedical-signal-processing-syllabus-for-et-8th-sem-2017-dbatu-elective-xii\/","title":{"rendered":"EC 51 C: Biomedical Signal Processing Syllabus for ET 8th Sem 2017 DBATU (Elective-XII)"},"content":{"rendered":"

Biomedical Signal Processing detailed syllabus scheme for Electronics & Telecommunication Engineering (ET), 2017 onwards has been taken from the DBATU<\/a> official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below. <\/p>\n

For 8th Sem Scheme of Electronics & Telecommunication Engineering (ET), 2017 Onwards, do visit ET 8th Sem Scheme, 2017 Onwards<\/a>. For the Elective-XII scheme of 8th Sem 2017 onwards, refer to ET 8th Sem Elective-XII Scheme 2017 Onwards<\/a>. The detail syllabus for biomedical signal processing is as follows.<\/p>\n

Biomedical Signal Processing Syllabus for Electronics & Telecommunication Engineering (ET) 4th Year 8th Sem 2017 DBATU<\/h2>\n

Biomedical Signal Processing<\/title><\/p>\n<h4>Course Objectives:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Course Outcomes:<\/h4>\n<ol>\n<li>The student will be able to model a biomedical system.<\/li>\n<li>The student will be able to understand various methods of acquiring bio signals.<\/li>\n<li>The student will be able to understand various sources of bio signal distortions and its remedial techniques.<\/li>\n<li>The students will be able to analyze ECG and EEG signal with characteristic feature points.<\/li>\n<li>The student will have a basic understanding of diagnosing bio-signals and classifying them.<\/li>\n<\/ol>\n<h4>Unit 1<\/h4>\n<p> <strong>Biomedical Signals<\/strong><br \/>\n Bioelectric Signals and Electrodes: Bio-potentials and their origin: ECG, EEG, EMG, ENG, ERG, EOG, MEG. Biomedical Instrumentation System, biomedical transducers, electrodes and their characteristics. Origin of bio potentials. Sources and contamination of Noise in bio signals. Motion artifacts and skin Impedance. Classification of biomedical signals.<\/p>\n<h4>Unit 2<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit 3<\/h4>\n<p> <strong>Analysis of Electrical Activity of Heart<\/strong><br \/>\n ECG signal parameters and their estimation – Use of multiscale analysis for ECG parameters estimation, Noise and Artifacts, ECG Signal Processing: Baseline Wandering, Power line interference, Muscle noise filtering – QRS detection, Highlight the Feature points of ECG and its classification for Normal and Abnormal state using Multilayer Perceptron.<\/p>\n<h4>Unit 4<\/h4>\n<p> <strong>Analysis of Electrical Activity of Brain<\/strong><br \/>\n Electroencephalogram – Structure of brain, EEG signal acquisition,10-20 electrode placement, EEG rhythms and waveform – categorization of EEG activity – recording techniques – EEG applications- Epilepsy, sleep disorders, brain computer interface. Use of Fourier Transform in EEG Signal Analysis.<\/p>\n<h4>Unit 5<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit 6<\/h4>\n<p> <strong>Digital Signal Processing<\/strong><br \/>\n Characteristics, frequency domain representation; Stationary and non-stationary bio-signals, waveform detection, Sampling Theory, Finite data considerations (Edge effects), Z Transform, FIR and IIR filters specific to event detection of ECG. Computation of diagnostic signal parameters of ECG like Heart rate and QRS detection using Multivariate analysis like PCA and ICA.<\/p>\n<h4>Reference\/Text Book:<\/h4>\n<ol>\n<li>Joseph J. Carr and John M. Brown, Introduction to Biomedical Equipment Technology, 4th Edition, Prentice Hall, 2000.<\/li>\n<li>R. Rangayan, Biomedical Signal Analysis, Wiley 2002.<\/li>\n<li>John L Semmlow, Bio-signal and Biomedical Image Processing, Marcel Dekker.<\/li>\n<li>R. S. Khandpur, Handbook of Biomedical Instrumentation, Tata McGraw Hill, New Delhi, 2003, Edition-II.<\/li>\n<li>Joseph J. Carr and John M. Brown, Introduction to Biomedical Equipment Technology, 4th Edition, Prentice Hall, 2000.<\/li>\n<li>Bruce, Biomedical Signal Processing and Signal Modeling, Wiley, 2001.<\/li>\n<li>Sornmo, Bioelectrical Signal Processing in Cardiac and Neurological Applications, Elsevier.<\/li>\n<li>C. Reddy Biomedical Signal Processing: Principles and techniques, Tata McGraw Hill, New Delhi, 2005.<\/li>\n<li>Willis J Tompkins, Biomedical Signal Processing, ED, Prentice – Hall, 1993.<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all subjects of Electronics & Telecommunication Engineering (ET) 8th Sem 2017 onwards, visit <a href=\"..\/category\/dbatu\/8th-sem-dbatu\">ET 8th Sem Subjects <\/a>of 2017 Onwards.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Biomedical Signal Processing detailed syllabus scheme for Electronics & Telecommunication Engineering (ET), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. […]<\/p>\n","protected":false},"author":2351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[108],"tags":[],"class_list":["post-17565","post","type-post","status-publish","format-standard","hentry","category-et-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/17565","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/users\/2351"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/comments?post=17565"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/17565\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=17565"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=17565"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=17565"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}