Motion artefact management for soft bioelectronics

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.