Evidence map›Paper›PMID 37631736›Full record

ArticleSensors (Basel, Switzerland)2023

Wavelet Analysis of Respiratory Muscle sEMG Signals during the Physiological Breakpoint of Static Dry End-Expiratory Breath-Holding in Naive Apneists: A Pilot Study.

Nataša Ž Mišić, Mirko Ostojić, Saša Cvetković, Petar Miodragović, Zdravko Aničić, Anita Kovačić Popović, Đorđe Stefanović

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Nataša Ž MišićDivision of Computational Bioengineering, Research & Development Institute Lola Ltd., 11030 Belgrade, Serbia.ORCID 0000-0002-8177-5734
Mirko OstojićDivision of Computational Bioengineering, Research & Development Institute Lola Ltd., 11030 Belgrade, Serbia.ORCID 0000-0003-4755-8127
Saša CvetkovićDivision of Computational Bioengineering, Research & Development Institute Lola Ltd., 11030 Belgrade, Serbia.ORCID 0009-0007-2068-1391
Petar MiodragovićDepartment of Physiology, Faculty of Medicine, University of Novi Sad, 21137 Novi Sad, Serbia.
Zdravko AničićLaboratory of Methodology and Research, Faculty of Sport and Physical Education, University of Belgrade, 11030 Belgrade, Serbia.ORCID 0000-0003-0922-8557
Anita Kovačić PopovićDepartment of Defectology and Clinical Psychology, Medika College for Vocational Studies in Healthcare, 11000 Belgrade, Serbia.ORCID 0000-0001-9389-0476
Đorđe StefanovićDepartment for Basic Sports, Faculty of Sport and Physical Education, University of Belgrade, 11030 Belgrade, Serbia.
University of Belgrade · RSUniversity of Novi Sad · RS

Funding

Ministry of Science, Technological Development and Innovation (Serbia) 451-03-68/2023-14/200066, 451-03-47/2023-01/200114, and 451-03-47/2023-01/200154
6 · The paper itself

Abstract

The wavelet spectral characteristics of three respiratory muscle signals (scalenus (SC), parasternal intercostal (IC), and rectus abdominis (RA)) and one locomotor muscle (brachioradialis (BR)) were analyzed in the time-frequency (T-F) domain during voluntary breath-holding (BH), with a focus on the physiological breakpoint that is commonly considered the first involuntary breathing movement (IBM) that signals the end of the easy-going phase of BH. The study was performed for an end-expiratory BH physiological breaking point maneuver on twelve healthy, physically active, naive breath-holders/apneists (six professional athletes; six recreational athletes, and two individuals in the post-COVID-19 period) using surface electromyography (sEMG). We observed individual effects that were dependent on muscle oxygenation and each person's fitness, which were consistent with the mechanism of motor unit (MU) recruitment and the transition of slow-twitch oxidative (type 1) to fast-twitch glycolytic (type 2) muscle fibers. Professional athletes had longer BH durations (BHDs) and strong hypercapnic responses regarding the expiratory RA muscle, which is activated abruptly at higher BHDs in a person-specific range below 250 Hz and is dependent on the BHD. This is in contrast with recreational athletes, who had strong hypoxic responses regarding inspiratory IC muscle, which is activated faster and gradually in the frequency range of 250-450 Hz (independent of the person and BHD). This pilot study preliminarily indicates that it is possible to noninvasively assess the physiological characteristics of skeletal muscles, especially oxygenation, and improve physical fitness tests by determining the T-F features of elevated myoelectric IC and RA activity during BH.

Indexed as

COVID-19Wavelet AnalysisElectromyographyHumansPilot ProjectsRespiratory Musclesbreath-holdingheart rate variabilityhypercapniahypoxiainvoluntary breathing movementmultiresolution analysismuscle fiber subtypeswavelet analysis

Identifiers

PMID37631736
PMCPMC10459781
OpenAlexW4385873494

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.