Literature DB >> 19140912

Comparison of time-domain short-term heart interval variability analysis using a wrist-worn heart rate monitor and the conventional electrocardiogram.

Luiz Guilherme Grossi Porto1, Luiz F Junqueira.   

Abstract

BACKGROUND: Wrist-worn heart rate monitors have not been extensively validated for heart rate variability analysis. The purpose of this study was to compare time-domain variability of heart interval series (R-Ri) recorded by the Polar S810 monitor (Polar Electro Oy, Kempele, Finland) and the conventional electrocardiogram (ECG).
METHODS: Agreement was verified between variability indices of 5-minute R-Ri simultaneously recorded by both devices and processed by unique software, from 33 subjects aged 18 to 42 years, normal or with different clinical conditions, in rest supine and active standing. ECG minus Polar differences were quantified by the Bland-Altman analysis, and tested by the one-sample t-test or Wilcoxon test.
RESULTS: In the supine position, the Polar overestimates (P < 0.0001) the absolute and percentage mean or median of the number (-2.00; -0.49%) and mean of R-Ri (-1.85 ms; -0.20%) and pNN50 (-2.20%; -8.68%), and underestimates the standard deviation (SDNN) (0.32 ms; 0.59%) (P = 0.08; P = 0.02) and root mean square successive difference (RMSSD) (0.90 ms; 1.56%) (P = 0.0008; P < 0.0001). The coefficient of variation (CV) showed null difference. On standing, differences were overestimated for the number (-2.61 intervals; -0.64%) and mean of R-Ri (-0.70 ms; -0.09%), and underestimated for rMSSD (1.70 ms; 10.84%) (P < 0.0001 to < 0.02). The SDNN, CV, and pNN50 indices did not show differences (P = 0.12 to 0.73).
CONCLUSIONS: The Polar S810 monitor was feasible and reliable for recording short-term R-R interval series, showing excellent agreement with the ECG in providing the time-domain indexes of heart interval variability with differences functionally not relevant. The CV showed the higher agreement in both postures, and the SDNN and pNN50 in the standing posture.

Mesh:

Year:  2009        PMID: 19140912     DOI: 10.1111/j.1540-8159.2009.02175.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  30 in total

Review 1.  [Options and limitations of heart rate measurement and analysis of heart rate variability by mobile devices: A systematic review].

Authors:  Stefan Sammito; Irina Böckelmann
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2016-02-10

2.  Unaltered R-R interval variability and bradycardia in cyclists as compared with non-athletes.

Authors:  Guilherme E Molina; Luiz Guilherme G Porto; Keila E Fontana; Luiz F Junqueira
Journal:  Clin Auton Res       Date:  2013-05-09       Impact factor: 4.435

3.  The Accuracy of Acquiring Heart Rate Variability from Portable Devices: A Systematic Review and Meta-Analysis.

Authors:  Ward C Dobbs; Michael V Fedewa; Hayley V MacDonald; Clifton J Holmes; Zackary S Cicone; Daniel J Plews; Michael R Esco
Journal:  Sports Med       Date:  2019-03       Impact factor: 11.136

4.  Post-exercise heart-rate recovery correlates to resting heart-rate variability in healthy men.

Authors:  Guilherme Eckhardt Molina; Keila Elizabeth Fontana; Luiz Guilherme Grossi Porto; Luiz Fernando Junqueira
Journal:  Clin Auton Res       Date:  2016-08-10       Impact factor: 4.435

5.  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

6.  Validity of the Polar V800 monitor for measuring heart rate variability in mountain running route conditions.

Authors:  Pere Caminal; Fuensanta Sola; Pedro Gomis; Eduard Guasch; Alexandre Perera; Núria Soriano; Lluis Mont
Journal:  Eur J Appl Physiol       Date:  2018-01-22       Impact factor: 3.078

7.  Cardiac Autonomic Function in the First Hours of Postnatal Life: An Observational Cross-Sectional Study in Term Neonates.

Authors:  Leva A Shayani; Carlos J da Cruz; Luiz Guilherme G Porto; Guilherme E Molina
Journal:  Pediatr Cardiol       Date:  2019-09-16       Impact factor: 1.655

8.  Possibilities and limitations of the Polar RS800 in measuring heart rate variability at rest.

Authors:  Martin Benka Wallén; Dan Hasson; Töres Theorell; Barbara Canlon; Walter Osika
Journal:  Eur J Appl Physiol       Date:  2011-07-16       Impact factor: 3.078

9.  Atypical pupillary light reflex and heart rate variability in children with autism spectrum disorder.

Authors:  Chathuri Daluwatte; Judith H Miles; Shawn E Christ; David Q Beversdorf; T Nicole Takahashi; Gang Yao
Journal:  J Autism Dev Disord       Date:  2013-08

10.  Simultaneously measured pupillary light reflex and heart rate variability in healthy children.

Authors:  C Daluwatte; J H Miles; G Yao
Journal:  Physiol Meas       Date:  2012-05-04       Impact factor: 2.833

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.