Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications

The rapid growth of the electronic industry and neuroscience research led to evolu-tional milestones in biomedical systems. Based on this growth, scientists spare no e{uFB00}ort in developing microsystems that are able to record and stimulate neural brain activities. This helps in treating several neurological disorders such as Epilepsy and Parkinson dis-eases. Design of a neural recording system faces many challenges, starting from the design of the implantable electrode needed for recording the neural signal, and ended with the fea-ture extraction from the recorded signals. A low-noise neural amplifier (LNA) is needed since the bio-potential signals{u2019} amplitude ranges from few microvolts to several millivolts and covers a wide range of frequencies from few millihertz to kilohertz. In order to process these signals, they should be digitized with a low-power high-resolution analog-to-digital converter (ADC). On the other side, electrical stimulation attracts a lot of researchers, since it provides a safe treatment option for people with neurological conditions such as Epilepsy and Parkin-son diseases. Typically, an implantable neural recording and stimulation system-on-chip (SoC) consists of three main blocks as follows: 1) a detector for neural recording, 2) a sig-nal processor for detection and prediction, and 3) a stimulator to stimulate neurons with the proper current waveform

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