Evidence map›Paper›PMID 29312932›Full record

ReviewFrontiers in bioengineering and biotechnology2017

Fetal Cardiac Doppler Signal Processing Techniques: Challenges and Future Research Directions.

Saeed Abdulrahman Alnuaimi, Shihab Jimaa, Ahsan H Khandoker

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Fetal Atrial Ectopic Rhythm Detected Using Handheld Doppler.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2020
    Article
  11. Article
  12. Article
  13. Model checking for trigger loss detection during Doppler ultrasound-guided fetal cardiovascular MRI.International journal of computer assisted radiology and surgery · 2018
    Review
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

3 authors.

Saeed Abdulrahman AlnuaimiDepartment of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
Shihab JimaaDepartment of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
Ahsan H KhandokerDepartment of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fetal Doppler Ultrasound (DUS) is commonly used for monitoring fetal heart rate and can also be used for identifying the event timings of fetal cardiac valve motions. In early-stage fetuses, the detected Doppler signal suffers from noise and signal loss due to the fetal movements and changing fetal location during the measurement procedure. The fetal cardiac intervals, which can be estimated by measuring the fetal cardiac event timings, are the most important markers of fetal development and well-being. To advance DUS-based fetal monitoring methods, several powerful and well-advanced signal processing and machine learning methods have recently been developed. This review provides an overview of the existing techniques used in fetal cardiac activity monitoring and a comprehensive survey on fetal cardiac Doppler signal processing frameworks. The review is structured with a focus on their shortcomings and advantages, which helps in understanding fetal Doppler cardiogram signal processing methods and the related Doppler signal analysis procedures by providing valuable clinical information. Finally, a set of recommendations are suggested for future research directions and the use of fetal cardiac Doppler signal analysis, processing, and modeling to address the underlying challenges.

Indexed as

fetal cardiac intervalsfetal cardiologyfetal Dopplerfetal heart ratefetal monitoringsignal processing

Identifiers

PMID29312932
PMCPMC5743703

What OpenQuestion 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 OpenQuestion graph.