Literature DB >> 15535178

Agreement between three commercially available instruments for measuring short-term heart rate variability.

G R H Sandercock1, C Shelton, P Bromley, D A Brodie.   

Abstract

Numerous instruments are commercially available to measure heart rate variability, yet little is known regarding the agreement between such instruments. The objective of this study is to assess agreement between measures of heart rate variability in three commercially available instruments. Thirty subjects (20 males) of median age 27.5 (range 19-59 years) underwent simultaneous ECG recordings, under three different resting conditions: supine, standing and supine with controlled breathing, using three commercially available analysers. Intraclass correlation coefficients tended to show excellent agreement (lower 95% C.I., R > 0.75) between all instruments under all conditions. However, further analysis of selected measurements using the limits of agreement method revealed large variation in values generated by all instruments. There was also an evidence of systematic bias between one instrument and the remaining two. The latter finding was due to discrepant ECG recording protocols that were unrelated to consistent operator timing. This study demonstrates that measures of HRV generated by the three instruments did not agree well in all cases. Discrepancies were due to the recording protocols of the systems. This may lead to incomparable results between instruments. It is therefore recommended that: (a) if different instruments are used in the same study or (b) multi-centre study designs are planned or (c) heart rate variability results are discussed with reference to studies using other instruments, levels of agreement need to be reported to ensure comparability.

Mesh:

Year:  2004        PMID: 15535178     DOI: 10.1088/0967-3334/25/5/003

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  9 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.  Levels of agreement for RR intervals and short-term heart rate variability obtained from the Polar S810 and an alternative system.

Authors:  David Nunan; Djordje G Jakovljevic; Gay Donovan; Lynette D Hodges; Gavin R H Sandercock; David A Brodie
Journal:  Eur J Appl Physiol       Date:  2008-04-22       Impact factor: 3.078

3.  Comparison of three mobile devices for measuring R-R intervals and heart rate variability: Polar S810i, Suunto t6 and an ambulatory ECG system.

Authors:  Matthias Weippert; Mohit Kumar; Steffi Kreuzfeld; Dagmar Arndt; Annika Rieger; Regina Stoll
Journal:  Eur J Appl Physiol       Date:  2010-03-12       Impact factor: 3.078

4.  Heart rate variability indices for very short-term (30 beat) analysis. Part 2: validation.

Authors:  Anne-Louise Smith; Harry Owen; Karen J Reynolds
Journal:  J Clin Monit Comput       Date:  2013-05-17       Impact factor: 2.502

5.  Reproducibility for Heart Rate Variability Analysis during 6-Min Walk Test in Patients with Heart Failure and Agreement between Devices.

Authors:  Lays Magalhães Braga; Gustavo Faibischew Prado; Iracema Ioco Kikuchi Umeda; Tatiana Satie Kawauchi; Adriana Marques Fróes Taboada; Raymundo Soares Azevedo; Horacio Gomes Pereira Filho; César José Grupi; Hayala Cristina Cavenague Souza; Dalmo Antônio Ribeiro Moreira; Naomi Kondo Nakagawa
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

6.  ECG performance in simultaneous recordings of five wearable devices using a new morphological noise-to-signal index and Smith-Waterman-based RR interval comparisons.

Authors:  Dominic Bläsing; Anja Buder; Julian Elias Reiser; Maria Nisser; Steffen Derlien; Marcus Vollmer
Journal:  PLoS One       Date:  2022-10-05       Impact factor: 3.752

7.  The validity and reliability of an open source biosensing board to quantify heart rate variability.

Authors:  Joel S Burma; Andrew P Lapointe; Ateyeh Soroush; Ibukunoluwa K Oni; Jonathan D Smirl; Jeff F Dunn
Journal:  Heliyon       Date:  2021-05-27

8.  Validation of a Low-Cost Electrocardiography (ECG) System for Psychophysiological Research.

Authors:  Ruth Erna Wagner; Hugo Plácido da Silva; Klaus Gramann
Journal:  Sensors (Basel)       Date:  2021-06-30       Impact factor: 3.576

9.  Is aerobic endurance a determinant of cardiac autonomic regulation?

Authors:  Laurent Bosquet; François-Xavier Gamelin; Serge Berthoin
Journal:  Eur J Appl Physiol       Date:  2007-04-18       Impact factor: 3.346

  9 in total

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