Literature DB >> 18274076

Correlated Poincaré indices for measuring heart rate variability.

Anne-Louise Smith1, Karen J Reynolds, Harry Owen.   

Abstract

Poincaré indices are usually applied to HRV to summarise long data sets collected over 24 hrs. Many applications of HRV are interested in dynamic, short term changes (<1 min). This study uses Poincaré indices published through the 1990's to the present, to determine which of them are correlated over the short term (25 beats). Dynamic changes were observed in 12 subjects pre-operatively receiving fentanyl and midazolam sedation with ECG collected for 5 mins before and 5 mins after fentanyl administration. Poincaré indices with a strong correlation (r>0.85) between the indices for each of the 12 subjects (p<0.001) (particularly with the common measures SDNN, RMSSD, pNN50 and meanRR) were identified. These indices will not be used for further investigation of dynamic effects of fentanyl and midazolam, two sedative drugs used in anaesthesia and intensive care. Indices that proved less suitable for short term analysis (eg. presence of outliers, inability to produce a valid index with smaller number of beats) were also identified. A shortlist of Poincaré indices that do not correlate strongly with commonly used measures may prove interesting in determining dynamic characteristics of the effect of sedative drugs on autonomic nervous system activity.

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Year:  2007        PMID: 18274076

Source DB:  PubMed          Journal:  Australas Phys Eng Sci Med        ISSN: 0158-9938            Impact factor:   1.430


  5 in total

1.  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

Review 2.  Heart rate variability indices for very short-term (30 beat) analysis. Part 1: survey and toolbox.

Authors:  Anne-Louise Smith; Harry Owen; Karen J Reynolds
Journal:  J Clin Monit Comput       Date:  2013-05-15       Impact factor: 2.502

3.  Multiscale analysis of heart rate variability in non-stationary environments.

Authors:  Jianbo Gao; Brian M Gurbaxani; Jing Hu; Keri J Heilman; Vincent A Emanuele Ii; Greg F Lewis; Maria Davila; Elizabeth R Unger; Jin-Mann S Lin
Journal:  Front Physiol       Date:  2013-05-30       Impact factor: 4.566

Review 4.  Advances in Photopletysmography Signal Analysis for Biomedical Applications.

Authors:  Jermana L Moraes; Matheus X Rocha; Glauber G Vasconcelos; José E Vasconcelos Filho; Victor Hugo C de Albuquerque; Auzuir R Alexandria
Journal:  Sensors (Basel)       Date:  2018-06-09       Impact factor: 3.576

5.  Load monitoring on Pilates training: a study protocol for a randomized clinical trial.

Authors:  Allysiê Priscilla de Souza Cavina; Eduardo Pizzo Junior; Aryane Flauzino Machado; Taíse Mendes Biral; Carlos Marcelo Pastre; Franciele Marques Vanderlei
Journal:  Trials       Date:  2019-10-17       Impact factor: 2.279

  5 in total

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