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Titlebook: Neural Engineering; Bin He Textbook 2020Latest edition Springer Nature Switzerland AG 2020 neural engineering.eeg signal processing.Introd

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EEG Signal Processing: Theory and Applications,nges in EEG from healthy, to injury, to recovering states. As a case study, we examine the use of EEG signal processing methods as a diagnostic tool in the recovery of the brain after cardiac arrest which causes global ischemic brain injury. The corresponding experiments demonstrate the importance o
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Deep Brain Stimulation: Emerging Technologies and Applications,ineering approaches that have the potential to improve clinical outcomes of DBS, focusing on the development novel temporal patterns, innovative electrode designs, computational models to guide stimulation, closed-loop DBS, emerging clinical indications, and future noninvasive strategies.
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Transcranial Magnetic Stimulation: Principles and Applications, physics and its modeling are presented, including the magnetic field of the coil and the impact of the subject’s head on the induced electric field. This is followed by a description of the biophysics of neuronal activation due to TMS, including the cable equation, leaky integrate-and-fire neural m
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Transcranial Electrical Stimulation,ranscranial pulsed-current stimulation (tPCS). Electrode design is important for reproducibility, tolerability, and influences when and what dose can be applied. Stimulation impedance measurements monitor contact quality, while current control is typically used to ensure consistent current delivery
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Selective Chronic Recording in the Peripheral Nervous System,generation electrodes..We will focus in one particular type of electrode, the flat interface nerve electrode (FINE), which has been shown to be reliable. It has been implanted in human patients for several years and can provide safe nerve stimulation for sensory substitution and has not been shown t
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