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A Chopper-Stabilized, Current Feedback, Neural Recording Amplifier
Aria Samiei1, Hossein Hashemi1
1Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089 USA.
Summary
This study introduces a novel chopper-stabilized amplifier that boosts input impedance to 3.0 GΩ, overcoming limitations in neural prosthetics for improved signal recording and reduced tissue current draw.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Electrical Engineering
Background:
- Advanced neural prosthetics demand high-density electrodes for tissue interfacing.
- Key implantable device metrics include area, power consumption, and noise performance.
- Chopping techniques are essential for low-frequency neural signals but reduce input impedance.
Purpose of the Study:
- To present a chopper-stabilized current feedback amplifier (CFA) designed to overcome the input impedance drop caused by chopping.
- To achieve high input impedance for improved neural signal recording and reduced tissue current draw in neural prosthetics.
Main Methods:
- Developed a chopper-stabilized current feedback amplifier (CFA).
- Implemented techniques to boost amplifier input impedance.
- Characterized amplifier performance including gain, cut-off frequency, power consumption, and noise efficiency factor (NEF).
Main Results:
- Achieved a boosted input impedance of 3.0 GΩ.
- The amplifier offers adjustable voltage gain (40-60 dB) and high-pass cut-off frequency (0.5-5 Hz).
- Demonstrated low power consumption (2.6 μW) and a low noise efficiency factor (NEF) of 3.2.
Conclusions:
- The developed CFA effectively addresses the input impedance limitations of chopping techniques in neural recording amplifiers.
- This high-impedance amplifier design is suitable for advanced neural prosthetics, enhancing signal fidelity and reducing tissue interaction.
- The design balances crucial metrics like area, power, and noise performance for implantable neural devices.

