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Motion artefact management for soft bioelectronics.

Junyi Yin1,2, Shaolei Wang1,2, Trinny Tat1

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Soft bioelectronic devices offer continuous physiological monitoring but face motion artefacts. This review details artefact types and management strategies for accurate signal detection in clinical applications.

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Area of Science:

  • Bioelectronic Engineering
  • Biomedical Signal Processing
  • Materials Science

Background:

  • Soft bioelectronic devices enable continuous physiological monitoring of curved organs like the heart, brain, and skin.
  • Motion artefacts from body movements and physiological activities compromise signal accuracy and stability.
  • Effective motion artefact management is crucial for the clinical translation of soft bioelectronics.

Purpose of the Study:

  • To review the impact of body activities on the soft bioelectronic-tissue interface and resulting motion artefacts.
  • To investigate various strategies for managing motion artefacts in soft bioelectronic systems.
  • To enhance the selective detection of biological signals with high accuracy.

Main Methods:

  • Categorization of motion artefacts into interface impedance instability, biopotential, and mechanical types.
  • Exploration of materials engineering approaches.
  • Analysis of device and circuit design strategies.
  • Evaluation of algorithmic intervention techniques.

Main Results:

  • Body activities significantly affect the bioelectronic-tissue interface, generating distinct motion artefact signals.
  • Multiple strategies exist to mitigate motion artefacts across signal acquisition, processing, and interpretation.
  • Successful artefact management ensures reliable and accurate physiological data collection.

Conclusions:

  • Addressing motion artefacts is paramount for the reliable performance of soft bioelectronic devices.
  • A multi-faceted approach combining materials, design, and algorithms is effective in managing motion artefacts.
  • Improved motion artefact control will accelerate the clinical adoption of advanced bioelectronic technologies.