Evidence map›Paper›PMID 41011890›Full record

ArticleMicromachines2025

Novel Tunable Pseudoresistor-Based Chopper-Stabilized Capacitively Coupled Amplifier and Its Machine Learning-Based Application.

Mohammad Aleem Farshori, M Nizamuddin, Renuka Chowdary Bheemana, Krishna Prakash, Shonak Bansal, Mohammad Zulqarnain, Vipin Sharma, S Sudhakar Babu, Kanwarpreet Kaur

Abstract read
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mohammad Aleem FarshoriDepartment of Electronics and Communication Engineering, Jamia Millia Islamia, New Delhi 110025, India.ORCID 0000-0002-0000-8606
M NizamuddinDepartment of Electronics and Communication Engineering, Jamia Millia Islamia, New Delhi 110025, India.
Renuka Chowdary BheemanaDepartment of ECE, NRI Institute of Technology, Vijayawada 521212, India.
Krishna PrakashDepartment of ECE, NRI Institute of Technology, Vijayawada 521212, India.ORCID 0000-0003-4398-8349
Shonak BansalDepartment of Electronics and Communication Engineering, Chandigarh University, Gharaun, Mohali 140413, India.ORCID 0000-0002-6551-6011
Mohammad ZulqarnainIntegrated Circuits Group, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
Vipin SharmaDepartment of Electronics and Communication Engineering, Raj Kumar Goel Institute of Technology, Ghaziabad 201017, India.ORCID 0000-0002-1598-0545
S Sudhakar BabuVignan's Institute of Information Technology, Duvvada, Visakhapatnam 530049, India.
Kanwarpreet KaurDepartment of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Patiala 147004, India.ORCID 0000-0002-6617-077X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a high-common-mode-rejection-ratio (CMRR) and high-gain FinFET-based bio-potential amplifier with a novel CMRR reduction technique. In this paper, a feedback buffer is used alongside a capacitively coupled chopper-stabilized circuit to reduce the common-mode signal gain, thus boosting the overall CMRR of the circuit. The conventional pseudoresistor in the feedback circuit is replaced with a tunable parallel-cell configuration of pseudoresistors to achieve high linearity. A chopper spike filter is used to mitigate spikes generated by switching activity. The mid-band gain of the chopper-stabilized amplifier is 42.6 dB, with a bandwidth in the range of 6.96 Hz to 621 Hz. The noise efficiency factor (NEF) of the chopper-stabilized amplifier is 6.1, and its power dissipation is 0.92 µW. The linearity of the parallel pseudoresistor cell is tested for different tuning voltages (V

Indexed as

bio-signalchopper stabilizationCMRRFinFETmachine learningpseudoresistor

Identifiers

PMID41011890
PMCPMC12471498

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.