"Version: 20230101"--Title page verso.

Includes bibliographical references.

1. 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. Conclusion

2. 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. Conclusion

3. 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. Conclusion

4. 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. Conclusion

5. 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.

Advances 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.

Electronic engineers/science graduates/medical professionals.

Also available in print.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

Professor 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.

Title from PDF title page (viewed on February 1, 2023).