Evidence map›Paper›PMID 41102215›Full record

ArticleScientific reports2025

Design of low power energy efficient sigma-delta ADC for biomedical IoT applications.

Buddhi Prakash Sharma, Anu Gupta, Chandra Shekhar, Raman Chauhan, Vinay Chamola

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Buddhi Prakash SharmaEEE Department, Birla Institute of Technology and Science, Pilani, 333031, India. p20200414@pilani.bits-pilani.ac.in.
Anu GuptaEEE Department, Birla Institute of Technology and Science, Pilani, 333031, India.
Chandra ShekharEEE Department, Birla Institute of Technology and Science, Pilani, 333031, India.
Raman ChauhanEEE Department, Birla Institute of Technology and Science, Pilani, 333031, India.
Vinay ChamolaEEE Department, Birla Institute of Technology and Science, Pilani, 333031, India. vinay.chamola@pilani.bits-pilani.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents an optimized low-power, energy-efficient, high-resolution Sigma-Delta Analog-to-Digital Converter (Σ-Δ ADC) for biomedical IoT (Internet of Things) applications. Advances in technology demand IoT devices to process huge data with high precision and lower power dissipation. This increases the expectations from data converters used in these portable devices. The Σ-Δ ADC proposed in this work is designed and analyzed using a 180 nm SCL CMOS technology node in the Cadence Virtuoso environment. Σ-Δ modulator uses a folded-cascode and a two-stage amplifier to achieve an optimal balance between power consumption and accuracy. The folded-cascode amplifier exhibits a gain of 76 dB, a phase margin of [Formula: see text], and a power consumption of 250 [Formula: see text]. In comparison, the two-stage amplifier produces a gain of 80.5 dB, a phase margin of [Formula: see text], and a significantly lower power dissipation of 72 [Formula: see text]. To further reduce power, a dynamic comparator circuit is employed in the binary quantizer to replace the two-stage amplifier. The modulator samples at a clock frequency of 1.28 MHz and converts the analog signal into high-frequency digital bit streams. The digital filter and decimation block are designed together. A second-order Cascoded Integrator Comb (CIC) filter is designed. The designed filter replaces the traditional integrator with a counter to optimize power consumption. The filter decimates the high-frequency pulse code modulated bit stream into a 14-bit resolution digital signal. This article also presents in-depth the transistor-level designs of all components used, along with certain important aspects of the design procedure. The post layout results demonstrate that the Σ-Δ converter attains an Effective Number of Bits (ENOB) of 13.995, a Signal-to-Noise Ratio (SNR) of 84.8 dB, and a Figure of Merit (FOM) of 20.41 fJ/conversion. With an oversampling ratio (OSR) of 128, the ADC operates efficiently, consuming only 0.498 mW of power. The layout area of the proposed ADC is [Formula: see text]. The proposed ADC design meets the performance requirements of biomedical IoT devices.

Indexed as

Analog-to-digital converterBiomedicalDynamic comparatorEnergy efficiencyFolded cascodeInternet of thingsSigma delta modulatorTwo-stage Op-Amp

Identifiers

PMID41102215
PMCPMC12533020

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.