A low-noise, high-precision chopper instrument amplifier for EEG signal amplification

Ge, Tongjin; Li, Penghai; Duan, Quanzhen; Yu, Gang

doi:10.1109/iccs59502.2023.10367346

Cited by 3 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wireless multichannel EEG devices [38][39][40] have not only improved portability and patient comfort but have also shown efficiency and a low power profile through Bluetooth. Some of these innovations include a present-reused DDA AFE [41] and a low-noise chopper instrument amplifier [42]; both designs achieve high CMRR and PSRR, which are important for the acquisition of good EEG signals. Some other works in the field of EEG signal acquisition and monitoring applications include Neonates-Specific EEG System [43], wireless EEG monitoring circuit with compact amplifiers and signal conditioning modules [44], Single-Chip EEG Signal Sampling Circuits [45], and BCI-Specific EEG [46], etc [further details in Appendix B.4].…”

Section: Related Work: Eeg Circuit Design Analog Front-end Architecturesmentioning

confidence: 99%

A Novel Battery-Supplied AFE EEG Circuit Capable of Muscle Movement Artifact Suppression

Delis,

Tsavdaridis,

Tsanakas

2024

Preprint

View full text Add to dashboard Cite

In this study, the fundamentals of electroencephalography signals, their categorization into frequency sub-bands, the circuitry used for their acquisition, and the impact of noise interference on signal acquisition are examined. Additionally, design specifications for medical-grade and research-grade EEG circuits and a comprehensive analysis of various analog front-end architectures for electroencephalograph (EEG) circuit design are presented. Three distinct selected case studies are examined in terms of comparative evaluation with generic EEG circuit design templates. Moreover, a novel one-channel battery-supplied EEG analog front-end circuit designed to address the requirements of usage protocols containing strong com-pound muscle movements is introduced. Furthermore, a realistic input signal generator circuit is proposed that models the human body and the Electromagnetic Interference from its surroundings. Experimental simulations are conducted in 50 Hz and 60 Hz electrical grid environments to evaluate the performance of the novel design. The results demonstrate the efficacy of the proposed system, particularly in terms of bandwidth, portability, common mode rejection ratio , gain, suppression of muscle movement artifacts, electrostatic discharge and leakage current protection. Conclusively, the novel design is cost-effective and suitable for both commercial and research single-channel EEG applications. It can be easily incorporated in Brain Computer Interfaces and neurofeedback training systems.

show abstract

Section: Related Work: Eeg Circuit Design Analog Front-end Architecturesmentioning

confidence: 99%

A Novel Battery-Supplied AFE EEG Circuit Capable of Muscle Movement Artifact Suppression

Delis,

Tsavdaridis,

Tsanakas

2024

Preprint

View full text Add to dashboard Cite

show abstract

A Novel Battery-Supplied AFE EEG Circuit Capable of Muscle Movement Artifact Suppression

Delis,

Tsavdaridis,

Tsanakas

2024

Applied Sciences

View full text Add to dashboard Cite

In this study, the fundamentals of electroencephalography signals, their categorization into frequency sub-bands, the circuitry used for their acquisition, and the impact of noise interference on signal acquisition are examined. Additionally, design specifications for medical-grade and research-grade EEG circuits and a comprehensive analysis of various analog front-end architectures for electroencephalograph (EEG) circuit design are presented. Three distinct selected case studies are examined in terms of comparative evaluation with generic EEG circuit design templates. Moreover, a novel one-channel battery-supplied EEG analog front-end circuit designed to address the requirements of usage protocols containing strong compound muscle movements is introduced. Furthermore, a realistic input signal generator circuit is proposed that models the human body and the electromagnetic interference from its surroundings. Experimental simulations are conducted in 50 Hz and 60 Hz electrical grid environments to evaluate the performance of the novel design. The results demonstrate the efficacy of the proposed system, particularly in terms of bandwidth, portability, Common Mode Rejection Ratio, gain, suppression of muscle movement artifacts, electrostatic discharge and leakage current protection. Conclusively, the novel design is cost-effective and suitable for both commercial and research single-channel EEG applications. It can be easily incorporated in Brain–Computer Interfaces and neurofeedback training systems.

show abstract

A Novel Multi-Feedback Differential Filter Instrumentation Amplifier for Βiosignals Acquisition Applications

Delis,

Georgiou,

Stamelos

et al. 2024

Electronics

View full text Add to dashboard Cite

Efficient filtering in biosignals acquisition is challenging. The resistance of the sources exhibits inter- and intra-subject variability or is unknown; thus, using passive filters before the first amplification stage is problematic. Conversely, filtering after amplification does not effectively eliminate the amplified electrical noise, main’s interference, and the artifacts. In this context, the design and utilization of filters in the analog front end of biosensors, in conjunction with the first amplification stage, is not common but offers substantial advantages. In this study, the design of a novel Multi-feedback Differential Filter Instrumentation Amplifier (MFDFIA) is proposed. The design and the equations governing the gain and bandwidth characteristics of the MFDFIA are presented, and relevant topologies are explored. Even though MFDFIA has two op-amps in its first stage, due to its symmetric topology, the analysis can be conducted separately for the differential- and common-mode input signal with a simplified one op-amp equivalent circuit. Notably, MFDFIA’s CMRR is equal and depends only on the CMRR of the second stage. An exemplary simulation for EEG signal acquisition is provided, with a flat band of 1db between 0.7 Hz and 25.4 Hz, a gain of 34.1 db, and an input noise of 70.66 nVrms in the range of 0.1–10 Hz.

show abstract

A low-noise, high-precision chopper instrument amplifier for EEG signal amplification

Cited by 3 publications

References 10 publications

A Novel Battery-Supplied AFE EEG Circuit Capable of Muscle Movement Artifact Suppression

A Novel Battery-Supplied AFE EEG Circuit Capable of Muscle Movement Artifact Suppression

A Novel Battery-Supplied AFE EEG Circuit Capable of Muscle Movement Artifact Suppression

A Novel Multi-Feedback Differential Filter Instrumentation Amplifier for Βiosignals Acquisition Applications

Contact Info

Product

Resources

About