Evidence map›Paper›PMID 35056279›Full record

ReviewMicromachines2022

A Survey on Analog-to-Digital Converter Integrated Circuits for Miniaturized High Resolution Ultrasonic Imaging System.

Dongdong Chen, Xinhui Cui, Qidong Zhang, Di Li, Wenyang Cheng, Chunlong Fei, Yintang Yang

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Dongdong ChenSchool of Microelectronics, Xidian University, Xi'an 710071, China.ORCID 0000-0002-5065-4374
Xinhui CuiSchool of Microelectronics, Xidian University, Xi'an 710071, China.
Qidong ZhangSchool of Microelectronics, Xidian University, Xi'an 710071, China.
Di LiSchool of Microelectronics, Xidian University, Xi'an 710071, China.ORCID 0000-0001-6118-7401
Wenyang ChengSchool of Microelectronics, Xidian University, Xi'an 710071, China.
Chunlong FeiSchool of Microelectronics, Xidian University, Xi'an 710071, China.
Yintang YangSchool of Microelectronics, Xidian University, Xi'an 710071, China.
Xidian University · CN

Funding

Fundamental Research Funds for the Central Universities XJS211105National Key Research and Development Program of China 2018YFB2202400National Natural Science Foundations of China 62104177
6 · The paper itself

Abstract

As traditional ultrasonic imaging systems (UIS) are expensive, bulky, and power-consuming, miniaturized and portable UIS have been developed and widely utilized in the biomedical field. The performance of integrated circuits (ICs) in portable UIS obviously affects the effectiveness and quality of ultrasonic imaging. In the ICs for UIS, the analog-to-digital converter (ADC) is used to complete the conversion of the analog echo signal received by the analog front end into digital for further processing by a digital signal processing (DSP) or microcontroller unit (MCU). The accuracy and speed of the ADC determine the precision and efficiency of UIS. Therefore, it is necessary to systematically review and summarize the characteristics of different types of ADCs for UIS, which can provide valuable guidance to design and fabricate high-performance ADC for miniaturized high resolution UIS. In this paper, the architecture and performance of ADC for UIS, including successive approximation register (SAR) ADC, sigma-delta (Σ-∆) ADC, pipelined ADC, and hybrid ADC, have been systematically introduced. In addition, comparisons and discussions of different types of ADCs are presented. Finally, this paper is summarized, and presents the challenges and prospects of ADC ICs for miniaturized high resolution UIS.

Indexed as

analog-to-digital converterintegrated circuitminiaturized systemultrasonic imaging

Identifiers

PMID35056279
PMCPMC8779678
OpenAlexW4206074852

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.