Literature DB >> 33530473

Influence of Artefact Correction and Recording Device Type on the Practical Application of a Non-Linear Heart Rate Variability Biomarker for Aerobic Threshold Determination.

Bruce Rogers1, David Giles2, Nick Draper3, Laurent Mourot4,5, Thomas Gronwald6.   

Abstract

Recent study points to the value of a non-linear heart rate variability (HRV) biomarker using detrended fluctuation analysis (DFA a1) for aerobic threshold determination (HRVT). Significance of recording artefact, correction methods and device bias on DFA a1 during exercise and HRVT is unclear. Gas exchange and HRV data were obtained from 17 participants during an incremental treadmill run using both ECG and Polar H7 as recording devices. First, artefacts were randomly placed in the ECG time series to equal 1, 3 and 6% missed beats with correction by Kubios software's automatic and medium threshold method. Based on linear regression, Bland Altman analysis and Wilcoxon paired testing, there was bias present with increasing artefact quantity. Regardless of artefact correction method, 1 to 3% missed beat artefact introduced small but discernible bias in raw DFA a1 measurements. At 6% artefact using medium correction, proportional bias was found (maximum 19%). Despite this bias, the mean HRVT determination was within 1 bpm across all artefact levels and correction modalities. Second, the HRVT ascertained from synchronous ECG vs. Polar H7 recordings did show an average bias of minus 4 bpm. Polar H7 results suggest that device related bias is possible but in the reverse direction as artefact related bias.

Entities:  

Keywords:  aerobic threshold; artefact; detrended fluctuation analysis; endurance exercise; heart rate monitors; heart rate variability; intensity distribution; ventilatory threshold; wearables

Mesh:

Substances:

Year:  2021        PMID: 33530473      PMCID: PMC7865269          DOI: 10.3390/s21030821

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  39 in total

1.  Validity and reliability of combining three methods to determine ventilatory threshold.

Authors:  S E Gaskill; B C Ruby; A J Walker; O A Sanchez; R C Serfass; A S Leon
Journal:  Med Sci Sports Exerc       Date:  2001-11       Impact factor: 5.411

2.  Non-linear analyses of heart rate variability during heavy exercise and recovery in cyclists.

Authors:  J-F Casties; D Mottet; D Le Gallais
Journal:  Int J Sports Med       Date:  2006-02-01       Impact factor: 3.118

Review 3.  Confidence in Altman-Bland plots: a critical review of the method of differences.

Authors:  John Ludbrook
Journal:  Clin Exp Pharmacol Physiol       Date:  2009-08-28       Impact factor: 2.557

4.  Non-linear dynamics of heart rate variability during incremental cycling exercise.

Authors:  Thomas Gronwald; Olaf Hoos; Sebastian Ludyga; Kuno Hottenrott
Journal:  Res Sports Med       Date:  2018-07-24       Impact factor: 4.674

5.  Heart Rate Variability During Exercise: A Comparison of Artefact Correction Methods.

Authors:  David A Giles; Nick Draper
Journal:  J Strength Cond Res       Date:  2018-03       Impact factor: 3.775

6.  Can RR intervals editing and selection techniques interfere with the analysis of heart rate variability?

Authors:  Gustavo Dos Santos Ribeiro; Victor Ribeiro Neves; Luís Fernando Deresz; Rosangela Domingues Melo; Pedro Dal Lago; Marlus Karsten
Journal:  Braz J Phys Ther       Date:  2018-04-04       Impact factor: 3.377

7.  The sensitivity of 38 heart rate variability measures to the addition of artifact in human and artificial 24-hr cardiac recordings.

Authors:  Nicolas J C Stapelberg; David L Neumann; David H K Shum; Harry McConnell; Ian Hamilton-Craig
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-07-02       Impact factor: 1.468

8.  A real-time QRS detection algorithm.

Authors:  J Pan; W J Tompkins
Journal:  IEEE Trans Biomed Eng       Date:  1985-03       Impact factor: 4.538

9.  Effectiveness of the Chest Strap Electrocardiogram to Detect Atrial Fibrillation.

Authors:  Sanna Hartikainen; Jukka A Lipponen; Pamela Hiltunen; Tuomas T Rissanen; Indrek Kolk; Mika P Tarvainen; Tero J Martikainen; Maaret Castren; Eemu-Samuli Väliaho; Helena Jäntti
Journal:  Am J Cardiol       Date:  2019-02-23       Impact factor: 2.778

10.  Role of editing of R-R intervals in the analysis of heart rate variability.

Authors:  Mirja A Peltola
Journal:  Front Physiol       Date:  2012-05-23       Impact factor: 4.566

View more
  7 in total

1.  Validation of a non-linear index of heart rate variability to determine aerobic and anaerobic thresholds during incremental cycling exercise in women.

Authors:  Marcelle Schaffarczyk; Bruce Rogers; Rüdiger Reer; Thomas Gronwald
Journal:  Eur J Appl Physiol       Date:  2022-10-21       Impact factor: 3.346

2.  An Index of Non-Linear HRV as a Proxy of the Aerobic Threshold Based on Blood Lactate Concentration in Elite Triathletes.

Authors:  Bruce Rogers; Sander Berk; Thomas Gronwald
Journal:  Sports (Basel)       Date:  2022-02-18

Review 3.  Fractal Correlation Properties of Heart Rate Variability as a Biomarker for Intensity Distribution and Training Prescription in Endurance Exercise: An Update.

Authors:  Bruce Rogers; Thomas Gronwald
Journal:  Front Physiol       Date:  2022-05-09       Impact factor: 4.755

4.  Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue.

Authors:  Gäelle Prigent; Salil Apte; Anisoara Paraschiv-Ionescu; Cyril Besson; Vincent Gremeaux; Kamiar Aminian
Journal:  Front Physiol       Date:  2022-02-11       Impact factor: 4.566

5.  Validity of the Polar H10 Sensor for Heart Rate Variability Analysis during Resting State and Incremental Exercise in Recreational Men and Women.

Authors:  Marcelle Schaffarczyk; Bruce Rogers; Rüdiger Reer; Thomas Gronwald
Journal:  Sensors (Basel)       Date:  2022-08-30       Impact factor: 3.847

6.  Estimation of Respiratory Frequency in Women and Men by Kubios HRV Software Using the Polar H10 or Movesense Medical ECG Sensor during an Exercise Ramp.

Authors:  Bruce Rogers; Marcelle Schaffarczyk; Thomas Gronwald
Journal:  Sensors (Basel)       Date:  2022-09-21       Impact factor: 3.847

7.  Fractal correlation properties of heart rate variability as a biomarker of endurance exercise fatigue in ultramarathon runners.

Authors:  Bruce Rogers; Laurent Mourot; Gregory Doucende; Thomas Gronwald
Journal:  Physiol Rep       Date:  2021-07
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.