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• W2970038897 abstract "This work presents the design and analysis of a compact low-power motion artifact estimator for reducing the input dynamic range in wearable ECG acquisition systems. The estimator employs a novel mixed-signal architecture that performs adaptive filtering on the electrode impedance information to derive a cancellation signal to suppress the motion artifact at the input of the acquisition system. A detailed noise analysis and optimization strategies are also provided to minimize the estimator's noise referred to the acquisition system's input. Fabricated in a 0.18-μm CMOS process and operating from a 1-V supply, the estimator occupies an active area of 0.11 mm <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> and consumes 2.6-3.2 μW of power depending on the final weights used. The low power consumption and small area thus make the estimator suitable for local placement at each recording channel in multi-channel ECG acquisition systems." @default.
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• W2970038897 date "2019-10-01" @default.
• W2970038897 modified "2023-10-17" @default.
• W2970038897 title "A Micropower Motion Artifact Estimator for Input Dynamic Range Reduction in Wearable ECG Acquisition Systems" @default.
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• W2970038897 doi "https://doi.org/10.1109/tbcas.2019.2937536" @default.
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