Evidence map›Paper›PMID 37921668›Full record

ArticleAmerican journal of physiology. Heart and circulatory physiology2024

Evaluating transient phenomena by wavelet analysis: early recovery to exercise.

Lana Kralj, Nejka Potočnik, Helena Lenasi

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Heart and circulatory physiology, 2024. 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
0.9field-weighted citation impact, top 26% 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, 5 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Lana KraljInstitute of Physiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID 0000-0003-0616-1430
Nejka PotočnikInstitute of Physiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID 0000-0002-5221-4217
Helena LenasiInstitute of Physiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID 0000-0002-2032-725X
University of Ljubljana · SI

Funding

Javna Agencija za Raziskovalno Dejavnost RS (ARRS) P3-0019
6 · The paper itself

Abstract

Wavelet analysis (WA) provides superior time-frequency decomposition of complex signals than conventional spectral analysis tools. To illustrate its usefulness in assessing transient phenomena, we applied a custom-developed WA algorithm to laser-Doppler (LD) signals of the cutaneous microcirculation measured at glabrous (finger pulp) and nonglabrous (forearm) sites during early recovery after dynamic exercise. This phase, importantly contributing to the establishment of thermal homeostasis after exercise cessation, has not been adequately explored because of its complex, transient form. Using WA, we decomposed the LD signals measured during the baseline and early recovery into power spectra of characteristic frequency intervals corresponding to endothelial nitric oxide (NO)-dependent, neurogenic, myogenic, respiratory, and cardiac physiological influence. Assessment of relative power (RP), defined as the ratio between the median power in the frequency interval and the median power of the total spectrum, revealed that endothelial NO-dependent (5.87 early recovery; 1.53 baseline;

Indexed as

ExerciseSkinFingersHomeostasisLaser-Doppler FlowmetryMicrocirculationRegional Blood FlowWavelet Analysislaser-Doppler flowmetrymicrocirculationrecovery to dynamic exercisetransient phenomenawavelet analysis

Identifiers

PMID37921668
PMCPMC11213473
OpenAlexW4388289151

What OpenQuestion holds

Textmetadata
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.