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Motion artefact management for soft bioelectronics

Nature Reviews Bioengineering (2024)Cite this article

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Abstract

Soft bioelectronic devices can be interfaced with anatomically curved organs, such as the heart, brain and skin, to provide continuous analysis of physiological information. However, body movements and physiological activities may induce motion artefacts, which can adversely affect signal accuracy and stability. Importantly, motion artefact management is key to promoting the clinical translation of soft bioelectronics to ensure that soft bioelectronic devices can selectively detect target biological signals with high accuracy. In this Review, we discuss how body activities can affect the soft bioelectronic–tissue interface and result in motion artefact signals, including interface impedance instability motion artefacts, biopotential motion artefacts and mechanical motion artefacts. We then investigate different motion artefact management strategies, including materials engineering, device and circuit design, and algorithmic intervention, to reduce the contribution of motion artefacts to signal acquisition, processing and interpretation.

Key points

  • Soft bioelectronic systems for the monitoring of human health rely on a stable and conformal bioelectronic–tissue interface.

  • Motion artefacts can occur due to body movements and physiological activities, and can negatively affect signal detection and interpretation in bioelectronic measurements.

  • Motion artefact management is crucial to the clinical translation of soft bioelectronics to ensure measurement with high accuracy.

  • Materials usage, device design, bioelectronic–tissue adhesion, sensor and circuit designs, and algorithmic intervention are effective motion artefact management strategies.

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Fig. 1: Soft bioelectronic systems and bioelectronic–tissue interfaces.
Fig. 2: Motion artefacts in soft bioelectronic systems.
Fig. 3: Interface impedance instability motion artefact management.
Fig. 4: Biopotential and mechanical motion artefact management.

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Acknowledgements

The authors acknowledge the Henry Samueli School of Engineering & Applied Science and the Department of Bioengineering at the University of California, Los Angeles, for their startup support. J.C. acknowledges the Vernroy Makoto Watanabe Excellence in Research Award at the UCLA Samueli School of Engineering, the Office of Naval Research Young Investigator Award (award ID: N00014-24-1-2065), NIH grant (award ID: R01 CA287326), the American Heart Association Innovative Project Award (award ID: 23IPA1054908), the American Heart Association Transformational Project Award (award ID: 23TPA1141360), the American Heart Association’s Second Century Early Faculty Independence Award (award ID: 23SCEFIA1157587), the Brain & Behavior Research Foundation Young Investigator Grant (grant number: 30944), and the NIH National Center for Advancing Translational Science UCLA CTSI (grant number: KL2TR001882).

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  1. These authors contributed equally: Junyi Yin, Shaolei Wang.

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  1. Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA

    Junyi Yin, Shaolei Wang, Trinny Tat & Jun Chen

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J.C. guided the project. J.C. wrote, edited and reviewed the article. J.Y. and S.W. contributed equally to the preparation of this manuscript. T.T. made technical comments on the article. All authors have seen the paper, agree to its content and approve submission.

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Yin, J., Wang, S., Tat, T. et al. Motion artefact management for soft bioelectronics. Nat Rev Bioeng (2024). https://doi.org/10.1038/s44222-024-00175-4

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