Evidence map›Paper›PMID 30390223›Full record

ArticleMedical & biological engineering & computing2019

A unified non-linear approach based on recurrence quantification analysis and approximate entropy: application to the classification of heart rate variability of age-stratified subjects.

Vikramjit Singh, Amit Gupta, J S Sohal, Amritpal Singh

Abstract read
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Article in Medical & biological engineering & computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Entropy of Heart Rate on Self-Selected Interval Exercises in Older Women.International journal of exercise science · 2023
    Article
  5. Detecting Metabolic Thresholds from Nonlinear Analysis of Heart Rate Time Series: A Review.International journal of environmental research and public health · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

4 authors.

Vikramjit SinghDepartment of Electronics and Communication Engineering, I K G Punjab Technical University, Jalandhar, Punjab, India. vikramjit10070@davuniversity.org.ORCID http://orcid.org/0000-0003-4843-0985
Amit GuptaDepartment of Electronics and Communication Engineering, I K G Punjab Technical University, Jalandhar, Punjab, India.
J S SohalLudhiana College of Engineering and Technology, Ludhiana, Punjab, India.
Amritpal SinghDepartment of Electrical Engineering, I K G Punjab Technical University, Jalandhar, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a unified approach based on the recurrence quantification analysis (RQA) and approximate entropy (ApEn) for the classification of heart rate variability (HRV). In this paper, the optimum tolerance threshold (r

Indexed as

Models, CardiovascularSupport Vector MachineAdultAgedAged, 80 and overAge FactorsDatabases, FactualData Interpretation, StatisticalEntropyHeart RateHumansMiddle AgedNeural Networks, ComputerNonlinear DynamicsApproximate entropyAutonomic nervous system (ANS)Heart rate variabilityInformation theoryNon-linear methodsRecurrence quantification analysisSupport vector machine

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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.