Advanced low-power filter architecture for biomedical signals with adaptive tuning.

This paper presents a low-power, second-order composite source-follower-based filter architecture optimized for biomedical signal processing, particularly ECG and EEG applications. Source-follower-based filters are recommended in the literature for high-frequency applications due to their lower powe...

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Main Author: Ramasamy Srinivasagan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0311768
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author Ramasamy Srinivasagan
author_facet Ramasamy Srinivasagan
author_sort Ramasamy Srinivasagan
collection DOAJ
description This paper presents a low-power, second-order composite source-follower-based filter architecture optimized for biomedical signal processing, particularly ECG and EEG applications. Source-follower-based filters are recommended in the literature for high-frequency applications due to their lower power consumption when compared to filters with alternative topologies. However, they are not suitable for biomedical applications requiring low cutoff frequencies as they are designed to operate in the saturation region. The major contribution in this work are the filter is made to operate in the weak inversion zone to reduce the area needed for the capacitor and the amount of power dissipated. Process variation is one of the major issues in the weak inversion regime. To overcome this, a unique method of compensating against fluctuations in process, voltage, and temperature is put forth based on magnitude comparison is another contribution. Key findings from post-layout simulations and experimental measurements demonstrate that the filter achieves a tunable cutoff frequency range of 0.5 Hz to 150 Hz, with a total power dissipation of only 6nW at 150 Hz. The design occupies a compact silicon area of 0.065 mm2 and offers a dynamic range of 75 dB. The measured results indicate that for a 300 mVpp signal swing, the top bound on THD is -40 dB. The filter's robustness against process, voltage, and temperature variations is validated through on-chip tuning using a current steering DAC, ensuring stable performance across different operating conditions. These results make the proposed filter a promising candidate for low-power biomedical devices. The recommended filter is developed and implemented using UMC-0.18μm CMOS technology with a 1.0V supply, and the IC is tapped out using an MPW run of Euro practice IC services.
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spelling doaj-art-2e6eb86a81d14ff0bb2d26ecf15eae4d2025-08-20T03:11:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031176810.1371/journal.pone.0311768Advanced low-power filter architecture for biomedical signals with adaptive tuning.Ramasamy SrinivasaganThis paper presents a low-power, second-order composite source-follower-based filter architecture optimized for biomedical signal processing, particularly ECG and EEG applications. Source-follower-based filters are recommended in the literature for high-frequency applications due to their lower power consumption when compared to filters with alternative topologies. However, they are not suitable for biomedical applications requiring low cutoff frequencies as they are designed to operate in the saturation region. The major contribution in this work are the filter is made to operate in the weak inversion zone to reduce the area needed for the capacitor and the amount of power dissipated. Process variation is one of the major issues in the weak inversion regime. To overcome this, a unique method of compensating against fluctuations in process, voltage, and temperature is put forth based on magnitude comparison is another contribution. Key findings from post-layout simulations and experimental measurements demonstrate that the filter achieves a tunable cutoff frequency range of 0.5 Hz to 150 Hz, with a total power dissipation of only 6nW at 150 Hz. The design occupies a compact silicon area of 0.065 mm2 and offers a dynamic range of 75 dB. The measured results indicate that for a 300 mVpp signal swing, the top bound on THD is -40 dB. The filter's robustness against process, voltage, and temperature variations is validated through on-chip tuning using a current steering DAC, ensuring stable performance across different operating conditions. These results make the proposed filter a promising candidate for low-power biomedical devices. The recommended filter is developed and implemented using UMC-0.18μm CMOS technology with a 1.0V supply, and the IC is tapped out using an MPW run of Euro practice IC services.https://doi.org/10.1371/journal.pone.0311768
spellingShingle Ramasamy Srinivasagan
Advanced low-power filter architecture for biomedical signals with adaptive tuning.
PLoS ONE
title Advanced low-power filter architecture for biomedical signals with adaptive tuning.
title_full Advanced low-power filter architecture for biomedical signals with adaptive tuning.
title_fullStr Advanced low-power filter architecture for biomedical signals with adaptive tuning.
title_full_unstemmed Advanced low-power filter architecture for biomedical signals with adaptive tuning.
title_short Advanced low-power filter architecture for biomedical signals with adaptive tuning.
title_sort advanced low power filter architecture for biomedical signals with adaptive tuning
url https://doi.org/10.1371/journal.pone.0311768
work_keys_str_mv AT ramasamysrinivasagan advancedlowpowerfilterarchitectureforbiomedicalsignalswithadaptivetuning