This work presents a comprehensive study on a novel analog interface for single- and dual-channel electroencephalographic (EEG) analysis, employing current-mode active building blocks (ABBs), specifically the second-generation current conveyor (CCII) and voltage conveyor (VCII). The proposed mixed voltage-current mode approach enables voltage signal acquisition at the input stage, followed by current-domain processing in subsequent stages. A discrete PCB prototype was developed using AD844 operational amplifiers to emulate both CCII and VCII behavior. Signal acquisition was performed using a range of custom-designed 3D-printed passive and active electrodes fabricated with copper-based conductive filament, whose contact impedance variability was also characterized. The performance of the proposed interface was experimentally evaluated and compared against commercial EEG analog front-end chips such as the ADS1298, ADS1299, AD630, and other microelectronic circuits. The current-mode implementation demonstrates significant advantages, including high input impedance (ranging from 300 MΩ to 6.49 T Ω ), excellent common-mode rejection ratio (CMRR >100 dB), and a tunable bandwidth (0.1–200 Hz). The system successfully acquired high-quality EEG signals and limb movement data, highlighting its potential for low-noise, high-impedance biosignal interfaces.

A Novel Analog Interface Using 3D Printed Electrodes for Mixed Voltage-Current Mode EEG

Barile G.
;
Stornelli V.
2025-01-01

Abstract

This work presents a comprehensive study on a novel analog interface for single- and dual-channel electroencephalographic (EEG) analysis, employing current-mode active building blocks (ABBs), specifically the second-generation current conveyor (CCII) and voltage conveyor (VCII). The proposed mixed voltage-current mode approach enables voltage signal acquisition at the input stage, followed by current-domain processing in subsequent stages. A discrete PCB prototype was developed using AD844 operational amplifiers to emulate both CCII and VCII behavior. Signal acquisition was performed using a range of custom-designed 3D-printed passive and active electrodes fabricated with copper-based conductive filament, whose contact impedance variability was also characterized. The performance of the proposed interface was experimentally evaluated and compared against commercial EEG analog front-end chips such as the ADS1298, ADS1299, AD630, and other microelectronic circuits. The current-mode implementation demonstrates significant advantages, including high input impedance (ranging from 300 MΩ to 6.49 T Ω ), excellent common-mode rejection ratio (CMRR >100 dB), and a tunable bandwidth (0.1–200 Hz). The system successfully acquired high-quality EEG signals and limb movement data, highlighting its potential for low-noise, high-impedance biosignal interfaces.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/271942
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