Evidence map›Paper›PMID 34640663›Full record

ReviewSensors (Basel, Switzerland)2021

Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part II: Brain Signals.

Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros, Khosrow Behbehani, Radana Kahankova, Aleksandra Kawala-Sterniuk

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. MountPat: investigations on the EEG signals.Cognitive neurodynamics · 2026
    Article
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  3. Review
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  6. Review
  7. Article
  8. Article
  9. Electroencephalography source localization.Clinical and experimental pediatrics · 2023
    Article
  10. Article
  11. Article
  12. 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.

Radek MartinekDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava-FEECS, 708 00 Ostrava-Poruba, Czech Republic.ORCID 0000-0003-2054-143X
Martina LadrovaDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava-FEECS, 708 00 Ostrava-Poruba, Czech Republic.ORCID 0000-0002-5316-475X
Michaela SidikovaDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava-FEECS, 708 00 Ostrava-Poruba, Czech Republic.ORCID 0000-0002-9660-9659
Rene JarosDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava-FEECS, 708 00 Ostrava-Poruba, Czech Republic.ORCID 0000-0003-3346-6467
Khosrow BehbehaniCollege of Engineering, The University of Texas in Arlington, Arlington, TX 76019, USA.ORCID 0000-0001-5204-4230
Radana KahankovaDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava-FEECS, 708 00 Ostrava-Poruba, Czech Republic.ORCID 0000-0003-1555-9889
Aleksandra Kawala-SterniukFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland.ORCID 0000-0001-7826-1292

Funding

Operational Programme Research, Development and Education, and in part by the Ministry of Education of the Czech Republic SP2021/32Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project CZ.02.1.01/0.0/0.0/16_019/0000867
6 · The paper itself

Abstract

As it was mentioned in the previous part of this work (Part I)-the advanced signal processing methods are one of the quickest and the most dynamically developing scientific areas of biomedical engineering with their increasing usage in current clinical practice. In this paper, which is a Part II work-various innovative methods for the analysis of brain bioelectrical signals were presented and compared. It also describes both classical and advanced approaches for noise contamination removal such as among the others digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation, and wavelet transform.

Indexed as

Signal Processing, Computer-AssistedWavelet AnalysisBrainbioelectrical signalsbrain signalselectrocorticographyelectroencephalographysignal processing methods

Identifiers

PMID34640663
PMCPMC8512967

What OpenQuestion holds

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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.