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Analog front-end measuring biopotential signal with effective offset rejection loop.

Seunghyun Lim1, Hyunho Kim1, Haryong Song1

  • 1Department of Electronics, Chungnam National University, Daejeon 305-764, Korea.

Bio-Medical Materials and Engineering
|September 26, 2015
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Summary

This study introduces an analog front-end integrated circuit for biopotential signal recording. It achieves low noise and high common-mode rejection, ensuring robust signal acquisition even with interference.

Keywords:
Biopotential analog front-end (AFE)DC servo loopelectrocardiogram (ECG)electroencephalograph (EEG)ripple reduction loop

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Area of Science:

  • Biomedical Engineering
  • Integrated Circuit Design
  • Signal Processing

Background:

  • Biopotential signal recording is crucial for medical diagnostics.
  • Existing analog front-ends often struggle with noise and interference.
  • High common-mode rejection ratio (CMRR) is essential for accurate biopotential measurements.

Purpose of the Study:

  • To design and present a novel analog front-end (AFE) integrated circuit (IC) for biopotential signal acquisition.
  • To achieve a low-noise and high-CMRR system for improved signal quality.
  • To ensure robust biopotential signal acquisition in the presence of input offset and ripples.

Main Methods:

  • Utilized a capacitively coupled instrumentation amplifier for low-noise amplification.
  • Implemented a ripple reduction loop to mitigate chopper-generated ripple.
  • Employed input AC coupling and a DC servo loop for low-frequency noise attenuation.

Main Results:

  • Achieved a differential gain of 71 dB.
  • Obtained a common-mode rejection ratio (CMRR) of 89 dB at 50 Hz.
  • Demonstrated robust biopotential signal acquisition despite input offset and ripples.

Conclusions:

  • The proposed AFE IC effectively records biopotential signals with high fidelity.
  • The design overcomes common challenges in biopotential signal acquisition, such as noise and offset.
  • This AFE IC offers a promising solution for advanced biomedical monitoring systems.