A self-powered neural recording and stimulation soc for intractable epilepsy treatment /
ر إرو ذا ادرة ل ارة ا و از ا ج رض ارع ا
Ali Elhussien Ali Hassan ; Supervised Ahmed M. Soliman , Hassan Mostafa Hassan
- Cairo : Ali Elhussien Ali Hassan , 2018
- 108 P. : charts , facsimiles ; 25cm
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 eort 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 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