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Challenges and Opportunities in Wearable Biomedical Interfaces

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Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems

Part of the book series: Analog Circuits and Signal Processing ((ACSP))

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Abstract

This chapter provides an overview of the challenges and opportunities in wearable biomedical interfaces. Specifically, the challenges involved in acquiring biosignals with high fidelity in limited power budgets are highlighted. This chapter also introduces electrocardiogram (ECG) and photoplethysmogram (PPG) signal acquisition and processing as modalities for estimating the cardiovascular state. Assisted signal processing architectures, specifically analog and algorithmic assisted approaches, are introduced as opportunities to mitigate the challenges in low-power biosignal acquisition platforms. Finally, the organization of the rest of the chapters of the book is presented.

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Notes

  1. 1.

    Noise efficiency factor (NEF) is a quantitative metric that captures the current consumption–noise trade-off of IAs.

  2. 2.

    Applications that involve stimulation, as is the case with pacemakers, require high BW to capture pacing pulses.

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Authors and Affiliations

  1. imec, Leuven, Belgium

    Venkata Rajesh Pamula & Chris Van Hoof

  2. KU Leuven ESAT-MICAS, Leuven, Belgium

    Marian Verhelst

Authors
  1. Venkata Rajesh Pamula
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  2. Chris Van Hoof
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  3. Marian Verhelst
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Pamula, V.R., Van Hoof, C., Verhelst, M. (2019). Challenges and Opportunities in Wearable Biomedical Interfaces. In: Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems. Analog Circuits and Signal Processing. Springer, Cham. https://doi.org/10.1007/978-3-030-05870-8_1

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  • DOI: https://doi.org/10.1007/978-3-030-05870-8_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05869-2

  • Online ISBN: 978-3-030-05870-8

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