Evidence map›Paper›PMID 29854361›Full record

ReviewJournal of healthcare engineering2018

A Review on the Nonlinear Dynamical System Analysis of Electrocardiogram Signal.

Suraj K Nayak, Arindam Bit, Anilesh Dey, Biswajit Mohapatra, Kunal Pal

Abstract readReview
In one paragraph

Review in Journal of healthcare engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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.

Suraj K NayakDepartment of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, Odisha 769008, India.ORCID 0000-0003-1705-6732
Arindam BitDepartment of Biomedical Engineering, National Institute of Technology, Raipur, Chhattisgarh 492010, India.ORCID 0000-0003-4738-8324
Anilesh DeyDepartment of Electronics and Communication Engineering, Kaziranga University, Jorhat, Assam 785006, India.ORCID 0000-0001-9263-0592
Biswajit MohapatraVesaj Patel Hospital, Rourkela, Odisha 769004, India.
Kunal PalDepartment of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, Odisha 769008, India.ORCID 0000-0002-4618-8809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrocardiogram (ECG) signal analysis has received special attention of the researchers in the recent past because of its ability to divulge crucial information about the electrophysiology of the heart and the autonomic nervous system activity in a noninvasive manner. Analysis of the ECG signals has been explored using both linear and nonlinear methods. However, the nonlinear methods of ECG signal analysis are gaining popularity because of their robustness in feature extraction and classification. The current study presents a review of the nonlinear signal analysis methods, namely, reconstructed phase space analysis, Lyapunov exponents, correlation dimension, detrended fluctuation analysis (DFA), recurrence plot, Poincaré plot, approximate entropy, and sample entropy along with their recent applications in the ECG signal analysis.

Indexed as

ElectrocardiographyHeart RateNonlinear DynamicsSignal Processing, Computer-AssistedAlgorithmsAutonomic Nervous SystemHeartHumansImaging, Three-DimensionalLinear ModelsModels, Statistical

Identifiers

PMID29854361
PMCPMC5954865

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.