Rahul Ghodake, Vaibhav Godase | International Journal of Embedded Systems and Emerging Technologies | Vol 12, Issue 01 | ISSN: 2456-723X
Abstract
Biomedical signal acquisition systems such as ECG, EEG, and EMG require analog front-end (AFE) circuits capable of amplifying extremely small, low-frequency physiological signals in the presence of noise, interference, and motion-induced artifacts. These signals usually fall within the sub-millivolt range and are highly susceptible to low-frequency noise and amplifier offset. Chopper-stabilized amplifiers offer a compelling solution by suppressing flicker noise (1/f noise) and minimizing input- referred offset, especially for low-frequency biomedical signals where accuracy and robustness are critical. This research paper presents the design, implementation, and performance evaluation of a low-power chopper-stabilized amplifier optimized for biomedical sensor interfaces. Using CMOS 180 nm technology and sub threshold biasing techniques, the proposed design achieves significant improvements in noise performance, bandwidth, and power consumption relative to existing designs. The amplifier consumes 7 µW, achieves 48 dB gain, and maintains an input-referred noise of 40 nV/√Hz at 50 Hz. A 2nd-order low-pass filter reduces residual ripple and aliasing, ensuring high- quality reconstruction of biomedical signals. The proposed architecture demonstrates robust performance for low-frequency clinical measurements, validating its use in compact, wearable devices, implantable biomedical systems, IoT-enabled health monitoring platforms, and portable diagnostic equipment. The results show clear advantages in noise suppression, ripple reduction, and energy efficiency, making this design increasingly relevant in modern biomedical electronics.
Keywords: Chopper stabilization, low-noise amplifier, biomedical AFE, noise suppression, CMOS analog IC, ripple reduction, ultra-low-power circuits.
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- Â Kouhalvandi L, Matekovits L, Peter I. Amplifiers in biomedical engineering: A review from application perspectives. Sensors. 2023;23(4):2277.
- Adesara AM. Design and implementation of a low-noise low-power bio-potential amplifier for biomedical applications [doctoral dissertation]. Department of Electronics and Communication Engineering, Institute of Technology, Nirma University, Ahmedabad 382481 (India).
- Fava A, Centurelli F, Monsurrò P, Scotti G. A compact low-power chopper low noise amplifier for high density neural front-ends. Sensors. 2025;25(4):1157.
- Zheng H, Liu X. A noise-reconfigurable TDM-based chopper-stabilized ECG amplifier with 142.8-GΩ input impedance. IEEE J Solid-State Circuits. 2026 Jan 26.
- Sun J, Wang C, Wang G, Wang J, Hua Q, Cheng C, et al. Micro EEG/ECG signal’s chopper- stabilization amplifying chip for novel dry-contact electrode. J Semicond. 2017;38(2):025004.
- Hong JH, Liang MC, Haung MY, Tsai TH, Fang Q, Lee SY. Analog front-end circuit with low- noise amplifier and high-pass sigma-delta modulator for an EEG or ECoG acquisition system. In: International Symposium on Bioelectronics and Bioinformations 2011; 2011 Nov 3; IEEE. p. 17–20.
- Rao DS, Yedukondalu U, Balaji N. A comprehensive survey on low power analog front end circuits with digital converters for biomedical sensor application. Analog Integr Circuits Signal Process. 2026;126(1):11.
- Potlacheruvu VS. Adjustable ultra-low power current mode instrumentation amplifier for biomedical applications. California State University, Long Beach; 2024.
- Tseng Y, Ho Y, Kao S, Su C. A 0.09 μW low power front-end biopotential amplifier for biosignal recording. IEEE Trans Biomed Circuits Syst. 2012;6(5):508–516.
- Chebli R, Sawan M. Low noise and high CMRR front-end amplifier dedicated to portable EEG acquisition system. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2013 Jul 3; IEEE. p. 2523–2526.
- Lee SY, Lee HY, Kung CH, Su PH, Chen JY. A 0.8-μW and 74-dB high-pass sigma-delta modulator with OPAMP sharing and noise-coupling techniques for biomedical signal acquisition. IEEE Trans Biomed Circuits Syst. 2022;16(5):742–751.
- Wang Z, Jiang H, Chen H. Biomedical signal acquisition circuits. In: CMOS IC design for wireless medical and health care. New York (NY): Springer; 2013. p. 25–71.
- Hirai Y, Matsuoka T, Kamata T, Tani S, Onoye T. A multi-channel biomedical sensor system with system-level chopping and stochastic A/D conversion. IEICE Trans Fundam Electron Commun Comput Sci. 2024;107(8):1127–1138.
- Liu X, Zheng Y, Phyu MW, Endru FN, Navaneethan V, Zhao B. An ultra-low power ECG acquisition and monitoring ASIC system for WBAN applications. IEEE J Emerg Sel Top Circuits Syst. 2012;2(1):60–70.
- Jamadade VK, Ghodke MG, Katakdhond SS, Godase V. A review on real-time substation feeder power line monitoring and auditing systems. Int J Emerg IoT Technol Smart Electron Commun. 2025;1(2):1–6.
- Salunkhe A, Pawar V, Pise P, Mule S, Survase A, Godase V, et al. A review on real-time RFID- based smart attendance systems for efficient record management. Adv Res Analog Digit Commun. 2025;2(2):32–46.
- Dhope V, Chavan A, Hadmode N, Godase V. Smart plant monitoring system. Int J Creat Res Thoughts (IJCRT). 2024.
How to cite this article
@article{GhodakeR2026,
author = {Rahul Ghodake and Vaibhav Godase},
title = {A Low-Power Chopper-Stabilized Amplifier forHigh-Resolution Biomedical Signal Acquisition},
journal = {International Journal of Embedded Systems and Emerging Technologies},
year = {2026},
volume = {12},
number = {01},
issn = {2456-723X},
url = {https://journalspub.com/publication/ijeset/article=25578}
}