TY - GEN
T1 - Design of CMOS Analog Front-End Electroencephalography (EEG) Amplifier with ±1-V Common-mode and ±10-mV Differential-mode Artifact Removal
AU - Huang, Chi Wei
AU - Wang, Jian Jun
AU - Hung, Chung Chih
AU - Wu, Chung-Yu
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper presents an analog front-end amplifier (AFEA), applied to Electroencephalography (EEG) recording, ready to directly drive the capacitor array of the following SAR ADC. In order to achieve lower noise, a capacitively-coupled chopper instrumentation amplifier (CCCIA) with chopper modulation is used in the AFEA to suppress flicker noise within the bandwidth. To avoid the stimulation artifact from saturating the amplifier, the artifact cancellation loop is employed. Additionally, the digital control for artifact cancellation loop enables the AFEA fast recover to normal operation after stimulation so that the AFEA can measure EEG signals right after stimulation. The EEG AFEA was fabricated in TSMC 0.18μm CMOS technology. From measurement results, the high-pass corner of the EEG AFEA is obtained at 0.341 Hz and the low-pass corner at 113 Hz. The EEG AFEA has the tunable gains of 60.4/69.6/79.2 dB. The input referred noise within the bandwidth is 0.839 μVrms. The measured THD is 0.155% under no artifact and 4.5% with 150-mV DC offset, ±1-V common-mode artifact (CMA), and ±10-mV differential-mode artifact (DMA) under 2-kHz and 2.01-kHz of temporally interfering stimulation (TIS). Additionally, the area and power consumption are 2.576 mm2 and 83.2 μW, respectively.
AB - This paper presents an analog front-end amplifier (AFEA), applied to Electroencephalography (EEG) recording, ready to directly drive the capacitor array of the following SAR ADC. In order to achieve lower noise, a capacitively-coupled chopper instrumentation amplifier (CCCIA) with chopper modulation is used in the AFEA to suppress flicker noise within the bandwidth. To avoid the stimulation artifact from saturating the amplifier, the artifact cancellation loop is employed. Additionally, the digital control for artifact cancellation loop enables the AFEA fast recover to normal operation after stimulation so that the AFEA can measure EEG signals right after stimulation. The EEG AFEA was fabricated in TSMC 0.18μm CMOS technology. From measurement results, the high-pass corner of the EEG AFEA is obtained at 0.341 Hz and the low-pass corner at 113 Hz. The EEG AFEA has the tunable gains of 60.4/69.6/79.2 dB. The input referred noise within the bandwidth is 0.839 μVrms. The measured THD is 0.155% under no artifact and 4.5% with 150-mV DC offset, ±1-V common-mode artifact (CMA), and ±10-mV differential-mode artifact (DMA) under 2-kHz and 2.01-kHz of temporally interfering stimulation (TIS). Additionally, the area and power consumption are 2.576 mm2 and 83.2 μW, respectively.
KW - analog front-end amplifier
KW - artifact cancellation circuit
KW - input referred noise
KW - temporally interfering stimulation
UR - http://www.scopus.com/inward/record.url?scp=85142919236&partnerID=8YFLogxK
U2 - 10.1109/BioCAS54905.2022.9948692
DO - 10.1109/BioCAS54905.2022.9948692
M3 - Conference contribution
AN - SCOPUS:85142919236
T3 - BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings
SP - 714
EP - 717
BT - BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022
Y2 - 13 October 2022 through 15 October 2022
ER -