Transactions on Machine Intelligence

Transactions on Machine Intelligence

A Low-Power and Low-Noise Fully Integrated Amplifier for Neurodegenerative Disease Detection

Document Type : Original Article

Authors
M. Pourkarimi Khiyavi 1
A. Barmaki 1
J. Javidan 2
1 M.Sc. in Electrical Engineering (Electronics), Department of Electrical and Computer Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
2 Associated Professor, Department of Electrical and Computer Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
10.47176/TMI.2018.70
Abstract
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.
Keywords
Neurodegenerative Disease Detection
Neural Signals
Preamplifier Block
Low Power
Low Noise
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Transactions on Machine Intelligence
Volume 1, Issue 2
Spring 2018
Pages 70-80

  • Receive Date 02 March 2018
  • Revise Date 08 April 2018
  • Accept Date 09 May 2018