Design and Implementation of a Low-Power Biopotential Amplifier in 28 nm CMOS Technology with a Compact Die-Area of 2500 μm2 and an Ultra-High Input Impedance
Neural signal recording demands compact, low-power, high-performance amplifiers, to enable large-scale, multi-channel electrode arrays. This work presents a bioamplifier optimized for action potential detection, designed using TSMC 28 nm HPC CMOS technology. The amplifier integrates an active low-pass filter, eliminating bulky DC-blocking capacitors and significantly reducing the size and power consumption. It achieved a high input impedance of 105.5 GΩ, ensuring minimal signal attenuation. Simulation and measurement results demonstrated a mid-band gain of 58 dB, a -3 dB bandwidth of 7 kHz, and an input-referred noise of 11.1 μVrms, corresponding to a noise efficiency factor (NEF) of 8.4. The design occupies a compact area of 2500 μm2, making it smaller than previous implementations for similar applications. Additionally, it operates with an ultra-low power consumption of 3.4 μW from a 1.2 V supply, yielding a power efficiency factor (PEF) of 85 and an area efficiency factor of 0.21. These features make the proposed amplifier well suited for multi-site in-skull neural recording systems, addressing critical constraints regarding miniaturization and power efficiency.
Authors
- Reza Bostani (ORCID: https://orcid.org/0009-0000-8733-1192)
- Benoit Gosselin (ORCID: https://orcid.org/0000-0003-1473-3451)
- Konin Koua (ORCID: https://orcid.org/0000-0001-9327-5959)
- Jérémy Ménard
- Maher Benhouria
- Réjean Fontaine (ORCID: https://orcid.org/0000-0002-5453-0168)
- Marwan Besrour (ORCID: https://orcid.org/0000-0002-6473-7461)
- Sébastien Roy (ORCID: https://orcid.org/0000-0002-1262-9485)
- Esmaeil Ranjbar Koleibi (ORCID: https://orcid.org/0009-0001-6715-566X)
- William Lemaire (ORCID: https://orcid.org/0000-0002-1780-1395)
- Mohamed Majdoub (ORCID: https://orcid.org/0000-0001-6038-1069)
- Mahziar Serri Mazandarani
- L. Gauthier
Institutions
- Université de Sherbrooke (CA)
- Université Laval (CA)
Publication Details
- Journal
- Sensors
- Published
- 2025-04-05
- DOI
- https://doi.org/10.3390/s25072320
- Citations
- 4
- Primary Topic
- Analog and Mixed-Signal Circuit Design
- Type
- article
- Field-Weighted Citation Impact
- 2.70