Transactions on Machine Intelligence 2821-1693 1 2 2018 06 01 A Low-Power and Low-Noise Fully Integrated Amplifier for Neurodegenerative Disease Detection 70 80 205154 10.47176/TMI.2018.70 EN M. Pourkarimi Khiyavi M.Sc. in Electrical Engineering (Electronics), Department of Electrical and Computer Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran A. Barmaki M.Sc. in Electrical Engineering (Electronics), Department of Electrical and Computer Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran J. Javidan Associated Professor, Department of Electrical and Computer Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran 0000-0001-5860-5756 Journal Article 2018 03 02 Today, medical equipment provides a suitable and innovative solution for physicians and specialists in diagnosing various neurodegenerative diseases. Designing a block of a neural signal recording system with medical and localized applications to amplify vital and neural signals of the body, including brain and heart signals, aids in the accurate diagnosis of disease types. This paper presents the design of a low-power and low-noise preamplifier circuit for recording neural signals. By selecting an amplifier with an RFC structure and similar power consumption, high gain and reduced noise can be achieved. Choosing an appropriate structure can overcome the ripple in neural signals, reduce power consumption and noise, and minimize area. This proposed circuit is designed using 180 nm CMOS technology from the TSMC company under the BSIM library and simulated in HSPICE 2008 software. https://www.tmachineintelligence.ir/article_205154_e29ef86598481680ecabf1ea3914c514.pdf