Literature DB >> 24111246

Pulse rate variability compared with Heart Rate Variability in children with and without sleep disordered breathing.

Parastoo Dehkordi, Ainara Garde, Walter Karlen, David Wensley, J Mark Ansermino, Guy A Dumont.   

Abstract

Heart Rate Variability (HRV), the variation of time intervals between heartbeats, is one of the most promising and widely used quantitative markers of autonomic activity. Traditionally, HRV is measured as the series of instantaneous cycle intervals obtained from the electrocardiogram (ECG). In this study, we investigated the estimation of variation in heart rate from a photoplethysmography (PPG) signal, called pulse rate variability (PRV), and assessed its accuracy as an estimate of HRV in children with and without sleep disordered breathing (SDB). We recorded raw PPGs from 72 children using the Phone Oximeter, an oximeter connected to a mobile phone. Full polysomnography including ECG was simultaneously recorded for each subject. We used correlation and Bland-Altman analysis for comparing the parameters of HRV and PRV between two groups of children. Significant correlation (r > 0.90, p < 0.05) and close agreement were found between HRV and PRV for mean intervals, standard deviation of intervals (SDNN) and the root-mean square of the difference of successive intervals (RMSSD). However Bland-Altman analysis showed a large divergence for LF/HF ratio parameter. In addition, children with SDB had depressed SDNN and RMSSD and elevated LF/HF in comparison to children without SDB. In conclusion, PRV provides the accurate estimate of HRV in time domain analysis but does not reflect precise estimation for parameters in frequency domain.

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Year:  2013        PMID: 24111246     DOI: 10.1109/EMBC.2013.6611059

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  12 in total

1.  Relevant Errors Relating to the Measuring Method.

Authors:  Stefan Sammito; Irina Böckelmann
Journal:  Dtsch Arztebl Int       Date:  2016-05-27       Impact factor: 5.594

2.  Heart rate variability (HRV) in deep breathing tests and 5-min short-term recordings: agreement of ear photoplethysmography with ECG measurements, in 343 subjects.

Authors:  Stefan W Weinschenk; Reinhard D Beise; Jürgen Lorenz
Journal:  Eur J Appl Physiol       Date:  2016-06-08       Impact factor: 3.078

3.  Photoplethysmography variability as an alternative approach to obtain heart rate variability information in chronic pain patient.

Authors:  Chiung-Cheng Chuang; Jing-Jhao Ye; Wan-Chun Lin; Kuan-Ting Lee; Yu-Ting Tai
Journal:  J Clin Monit Comput       Date:  2015-02-24       Impact factor: 2.502

4.  Analysis of heart rate variability during auditory stimulation periods in patients with schizophrenia.

Authors:  Saime Akdemir Akar; Sadık Kara; Fatma Latifoğlu; Vedat Bilgiç
Journal:  J Clin Monit Comput       Date:  2014-05-16       Impact factor: 2.502

5.  Evaluation of a contactless neonatal physiological monitor in Nairobi, Kenya.

Authors:  Dee Wang; William M Macharia; Roseline Ochieng; Dorothy Chomba; Yifat S Hadida; Roman Karasik; Dustin Dunsmuir; Jesse Coleman; Guohai Zhou; Amy Sarah Ginsburg; J Mark Ansermino
Journal:  Arch Dis Child       Date:  2021-11-05       Impact factor: 4.920

6.  Development of a screening tool for sleep disordered breathing in children using the phone Oximeter™.

Authors:  Ainara Garde; Parastoo Dehkordi; Walter Karlen; David Wensley; J Mark Ansermino; Guy A Dumont
Journal:  PLoS One       Date:  2014-11-17       Impact factor: 3.240

7.  Respiratory rate and pulse oximetry derived information as predictors of hospital admission in young children in Bangladesh: a prospective observational study.

Authors:  Ainara Garde; Guohai Zhou; Shahreen Raihana; Dustin Dunsmuir; Walter Karlen; Parastoo Dekhordi; Tanvir Huda; Shams El Arifeen; Charles Larson; Niranjan Kissoon; Guy A Dumont; J Mark Ansermino
Journal:  BMJ Open       Date:  2016-08-17       Impact factor: 2.692

8.  Pulse Rate Variability in Emergency Physicians During Shifts: Pilot Cross-Sectional Study.

Authors:  Gregory Andrew Peters; Matthew L Wong; Joshua W Joseph; Leon D Sanchez
Journal:  JMIR Mhealth Uhealth       Date:  2019-10-02       Impact factor: 4.773

9.  A jerk-based algorithm ACCEL for the accurate classification of sleep-wake states from arm acceleration.

Authors:  Koji L Ode; Shoi Shi; Machiko Katori; Kentaro Mitsui; Shin Takanashi; Ryo Oguchi; Daisuke Aoki; Hiroki R Ueda
Journal:  iScience       Date:  2022-01-01

Review 10.  Heart rate variability as a strain indicator for psychological stress for emergency physicians during work and alert intervention: a systematic review.

Authors:  Beatrice Thielmann; Robert Pohl; Irina Böckelmann
Journal:  J Occup Med Toxicol       Date:  2021-06-29       Impact factor: 2.646

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