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A novel high input impedance front-end for capacitive biopotential measurement

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Abstract

For capacitive biopotential measurement, a novel high input impedance front-end is proposed. The input impedance of the front-end can achieve more than 100 GΩ by matching the peripheral parameters. The front-end’s noise model is provided, and noise optimization is given further. The analysis shows the proposed front-end can achieve at least two orders of input impedance more than the non-inverting amplifier circuit with the same peripheral parameters at the cost of only increasing twice input-referred noise. The final experimental results verify the analysis and show the front-end’s feasibility of capacitive sensing electrocardiogram signal.

A novel high input impedance front-end is proposed, which impedance can achieve more than 100 GΩ by matching the peripheral parameters. The analysis and noise optimization results show the proposed front-end can achieve at least two orders of input impedance more than the non-inverting amplifier circuit with the same peripheral parameters at the cost of only increasing twice input-referred noise. The final experimental results verify the analysis and show its feasibility of capacitive sensing electrocardiogram signal.

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Funding

This work was supported by the National Key R&D Program of China (No. 2016YFA0202102), the Key Technologies R&D Program of Jiangsu Province (No. BE2014712 and BE2010190), and the National Nature Science Foundation Program of China (No. 61571376 and 11304152).

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Authors and Affiliations

  1. School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu Province, China

    Rongrong Wu, Yue Tang, Limin Zhang & Feng Yan

  2. UAV Research Institute, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China

    Zhiyu Li

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  1. Rongrong Wu
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  2. Yue Tang
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  3. Zhiyu Li
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  4. Limin Zhang
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  5. Feng Yan
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Correspondence to Limin Zhang.

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Wu, R., Tang, Y., Li, Z. et al. A novel high input impedance front-end for capacitive biopotential measurement. Med Biol Eng Comput 56, 1343–1355 (2018). https://doi.org/10.1007/s11517-017-1781-0

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  • DOI: https://doi.org/10.1007/s11517-017-1781-0

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