Evidence map›Paper›PMID 41193488›Full record

ArticleScientific reports2025

A 1.2-V 7.76-ENOB 1-MS/s single-ended SAR ADC in 65-nm CMOS for biomedical applications.

Kawther I Arafa, Dina M Ellaithy, Heba Shawkey, Mohamed Abouelatta, Abdelhalim Zekry

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
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

5 authors.

Kawther I ArafaElectronics and Communications Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt. kawther_ibrahim@eri.sci.eg.
Dina M EllaithyMicroelectronics Department, Electronics Research Institute (ERI), Cairo, 11843, Egypt.
Heba ShawkeyMicroelectronics Department, Electronics Research Institute (ERI), Cairo, 11843, Egypt.
Mohamed AbouelattaElectronics and Communications Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Abdelhalim ZekryElectronics and Communications Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A successive approximation register analog-to-digital converter (SAR ADC) is a promising approach used in biomedical applications due to its energy-efficiency architecture with less complex hardware implementation. The core building blocks of SAR ADC are sample-and-hold switch (S/H), comparator, logic control register, and digital-to-analog converter (DAC). To enhance the overall performance, a high-isolation CMOS bootstrap S/H switch has been used. The SFDR of proposed ADC has increased by up to 2.2 dB. Also, we propose a double-tail single-ended dynamic latch comparator with extra pair PMOS transistors that save power by up to 7.5% as compared to the traditional double-tail dynamic comparator. Moreover, after adding these pair of transistors into conventional double tail dynamic comparator without any calibration cost, the SNDR has increased by more than 2 dB and 0.3bit improvement of ENOB. Furthermore, a synchronous modified SAR logic control register based on low-power D flip-flops (FFs) is proposed. A metal-isolator-metal capacitor (MIM) with a modified capacitance reduction configuration is used to improve the active area of the capacitive DAC (CDAC) compared to the conventional CDAC with 36.7% saving power. The proposed ADC has been implemented using a 65-nm TSMC CMOS process, 1.2 V supply voltage with a sampling rate of 1 MS/s. An active area of 0.00585 mm

Indexed as

Analog-Digital ConversionEquipment DesignSemiconductorsTransistors, ElectronicAreaBootstrap sample-and-hold switch (S/H)Capacitive digital-to-analog converter (CDAC)Dynamic comparatorLow powerSuccessive approximation register analog-to-digital converter (SAR ADC)

Identifiers

PMID41193488
PMCPMC12589440

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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.