Literature DB >> 17487074

Comparison of the ratio of the standard deviation of the R-R interval and the root mean squared successive differences (SD/rMSSD) to the low frequency-to-high frequency (LF/HF) ratio in a patient population and normal healthy controls.

John J Sollers1, Tony W Buchanan, Samantha M Mowrer, Labarron K Hill, Julian F Thayer.   

Abstract

Heart rate variability (HRV) analysis involves examining the normal rhythmic fluctuations in heart rate using statistical indices (e.g. standard deviation, root mean square of the successive differences) or more complex spectral analytic techniques. Recently, Balocchi et al (2006) found that the ratio of the standard deviation of the r-r interval (SD) over the root mean squared of the successive differences (rMSSD), a simple statistical index, could be used as a surrogate for the low-to-high frequency ratio (LH/HF) typically calculated from the spectral estimates. We sought to extend this work by examining a patient population. Results indicate that the SD/rMSSD ratio is a good surrogate for the LF/HF ratio across multiple contexts in both patients and normal healthy controls.

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Year:  2007        PMID: 17487074

Source DB:  PubMed          Journal:  Biomed Sci Instrum        ISSN: 0067-8856


  13 in total

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Journal:  J Pain       Date:  2017-02-07       Impact factor: 5.820

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Journal:  Sensors (Basel)       Date:  2015-06-26       Impact factor: 3.576

6.  Cognitive behavior evaluation based on physiological parameters among young healthy subjects with yoga as intervention.

Authors:  H Nagendra; Vinod Kumar; S Mukherjee
Journal:  Comput Math Methods Med       Date:  2015-02-11       Impact factor: 2.238

7.  Heart Rate Variability for Quantification of Autonomic Dysfunction in Fibromyalgia.

Authors:  Jin Ho Kang; Jong Kyu Kim; Seok Hyun Hong; Chang Hyun Lee; Byoong Yong Choi
Journal:  Ann Rehabil Med       Date:  2016-04-25

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Authors:  Carla Caroline Franzini de Souza; Daniel Penteado Martins Dias; Raquel Nascimento de Souza; Magda Alves de Medeiros
Journal:  PLoS One       Date:  2018-08-01       Impact factor: 3.240

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Authors:  David Perpetuini; Antonio Maria Chiarelli; Daniela Cardone; Chiara Filippini; Sergio Rinella; Simona Massimino; Francesco Bianco; Valentina Bucciarelli; Vincenzo Vinciguerra; Piero Fallica; Vincenzo Perciavalle; Sabina Gallina; Sabrina Conoci; Arcangelo Merla
Journal:  PeerJ       Date:  2021-01-15       Impact factor: 2.984

10.  A Novel Smartphone App for the Measurement of Ultra-Short-Term and Short-Term Heart Rate Variability: Validity and Reliability Study.

Authors:  Yung-Sheng Chen; Wan-An Lu; Jeffrey C Pagaduan; Cheng-Deng Kuo
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-31       Impact factor: 4.773

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