Iranian Journal of Biomedical Engineering (IJBME)
نشریه علمی مهندسی پزشکی زیستی

The Neural Signals Amplifier with Low Power Consumption and Adjustable Gain and Bandwidth

Document Type : Full Research Paper

Authors

Jamshid Tamsili 1
َAbbas Ramazani 2
Zahra Sohrabi 3

1 electrical engineering department, Hamedan university of technology

2 Bu-Ali Sina University

3 electrical engineering department, faculty of engineering, Bu-Ali Sina University

https://doi.org/10.22041/ijbme.2025.2069187.1993
Abstract
The use of neural signal recording systems in medical science in the diagnosis of various diseases is growing significantly. Neural signals, due to their nature, have a very low amplitude, so in order to perform any processing on these signals, they must first be amplified. Neural signals have a different frequency range from 1 Hz to 10 kHz, so it is necessary for the amplifier to have the ability to adjust the bandwidth to select the desired frequency range, and also because the amplitude of neural signals varies according to the type and location of the electrodes implanted in the brain, the amplifier must also have the ability to adjust the gain. In this article, a two-stage amplifier is presented that has the ability to adjust the gain and bandwidth in both stages and can amplify neural signals with low amplitudes and different frequency ranges with low power consumption. This amplifier has the ability to change the low cutoff frequency from 1.2 Hz to 27 Hz and the high cutoff frequency from 14.6 kHz to 12.6 kHz, and has a gain amplification range of 53 dB to 97 dB with a power consumption of about 10.9 microwatts. All the circuit simulation steps were performed in the Cadence software with 180 nanometer CMOS technology and a supply voltage of 1.8 V.

Keywords

Neural Signals
Amplifier
Adjustable Bandwidth
Adjustable Gain
Low Power

Subjects

Iranian Journal of Biomedical Engineering (IJBME)
Volume 19, Issue 1
Spring 2025
Pages 95-105

  • Receive Date 25 August 2025
  • Revise Date 28 October 2025
  • Accept Date 03 November 2025

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