05886nam a2200697 i 45000010014000000030004000140050017000180060019000350070015000540080041000690200025001100200024001350200025001590200027001840240035002110350025002460350022002710400040002930500024003330600024003570720016003810720023003971000031004202450063004512640098005143000071006123360021006833370026007043380032007304900027007624900034007895000043008235040041008665050355009075050245012625050327015075050376018345050784022105200804029945210066037985300029038645380036038935380078039295450586040075880060045936500022046536500024046756500028046996500022047276500024047496500028047736500043048016500081048447100061049257760049049868300031050358300034050668560059051009420012051599990017051719780750334273IOP20251030124212.0m eo d cr cn |||m|||a230201s2023 enka fob 000 0 eng d a9780750334273qebook a9780750334266qmobi z9780750334259qprint z9780750334280qmyPrint7 a10.1088/978-0-7503-3427-32doi a(CaBNVSL)thg00083564 a(OCoLC)1369198003 aCaBNVSLbengerdacCaBNVSLdCaBNVSL 4aRC343b.B354 2023eb 4aWL100bB151e 2023eb 7aTHR2bicssc 7aTEC0080102bisacsh1 aBaher, H.,eauthor.99645810aElectronic engineering for neuromedicine /cHussein Baher. 1aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :bIOP Publishing,c[2023] a1 online resource (various pagings) :billustrations (some color). atext2rdacontent aelectronic2isbdmedia aonline resource2rdacarrier1 a[IOP release $release]1 aIOP ebooks. [2023 collection] a"Version: 20230101"--Title page verso. aIncludes bibliographical references.0 a1. An electronic perspective of the brain -- 1.1. Introduction -- 1.2. The human brain -- 1.3. The cerebral cortex -- 1.4. The electronic nature of the brain -- 1.5. Modelling biological systems by electronic circuits -- 1.6. The logic of synthesis -- 1.7. Electric field theory -- 1.8. MOS transistors and microelectronic circuits -- 1.9. Conclusion8 a2. The brain as a signal processor -- 2.1. Introduction -- 2.2. Signals and systems -- 2.3. Spectrum analysis -- 2.4. Modelling the brain -- 2.5. Accessing brain activity -- 2.6. Brain-machine interface and cortex mapping -- 2.7. Conclusion8 a3. Neural signal processing -- 3.1. Introduction -- 3.2. Neural signals -- 3.3. Filters and systems with frequency selectivity -- 3.4. Digitisation of analog signals -- 3.5. Digital filters -- 3.6. Stochastic (random) signals -- 3.7. Power spectra of stochastic signals -- 3.8. Power spectrum estimation -- 3.9. Conclusion8 a4. Electronic psychiatry -- 4.1. Introduction -- 4.2. Magnetic fields and electromagnetic field theory -- 4.3. Vagus nerve stimulation (VNS) -- 4.4. Repetitive transcranial magnetic stimulation (rTMS) -- 4.5. Magnetic seizure therapy -- 4.6. Transcranial direct current stimulation (tDCS) -- 4.7. Deep brain stimulation (DBS) -- 4.8. Digital psychiatry -- 4.9. Conclusion8 a5. Neural engineering : merging neuroscience with engineering -- 5.1. Introduction -- 5.2. Scanning and imaging techniques -- 5.3. Electromagnetic radiation and wave propagation -- 5.4. Magnetic resonance imaging (MRI) -- 5.5. Blood supply ultrasound Doppler scans -- 5.6. Interaction of electric fields with neural tissue -- 5.7. Application in epilepsy -- 5.8. Electronics for paralysis -- 5.9. Artificial silicon retina -- 5.10. Cochlear implant -- 5.11. Electronic skin -- 5.12. Restoring the sense of touch -- 5.13. Robo surgeon -- 5.14. Electro-optic brain therapies -- 5.15. Neural prosthetics -- 5.16. Treatment of long Covid using electrical stimulation -- 5.17. Eavesdropping on the brain -- 5.18. Magnetoencephalography (MEG) using quantum sensors -- 5.19. Conclusion.3 aAdvances in electronics have revolutionized diagnostic tools and created mobile medicine, touch-sensitive prosthetics, remote surgery, and artificial organs such as hearts, retinas, and bionic skins. This reference text shows the number of ways in which electronic engineering feeds into neuromedicine namely: the modelling and simulation of the brain, providing access to the brain, analysis of the signals and activities of the brain and influencing the function of the brain for therapeutic purposes. The areas of electronic engineering considered are electronic circuits, spectral analysis, filtering of signals, electromagnetic fields and wave propagation. The book is a valuable source to medical students and practitioners as well as electronic engineering and physics students and graduates. aElectronic engineers/science graduates/medical professionals. aAlso available in print. aMode of access: World Wide Web. aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. aProfessor Hussein Baher received his PhD in Electronic Engineering from University College Dublin, Ireland specializing in the research areas of Circuit Theory, Microwave Engineering, Microelectronics and Signal Processing. He occupied Faculty positions at the Technological University of Dublin, University College Dublin, the Professorship of Electronic Engineering at Dublin City University, Virginia Tech (USA), the Prestigious Analog Devices Chair of Microelectronics in Massachusetts (USA) as well as being a Visiting Professor at the Technical University of Vienna, Austria.0 aTitle from PDF title page (viewed on February 1, 2023). 0aNeurology.966816 0aElectronics.965899 0aBiomedical engineering.12aNeurology.96681612aElectronics.96589912aBiomedical Engineering. 7aElectrical engineering.2bicssc965586 7aTECHNOLOGY & ENGINEERING / Electronics / Circuits / General.2bisacsh9964592 aInstitute of Physics (Great Britain),epublisher.91770208iPrint version:z9780750334259z9780750334280 0aIOP (Series).pRelease 23. 0aIOP ebooks.p2023 collection.40uhttps://iopscience.iop.org/book/mono/978-0-7503-3427-3 cE-Books c68357d68357