Skip to main content
Erschienen in: Journal of Clinical Monitoring and Computing 6/2015

01.12.2015 | Original Research

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

verfasst von: Chiung-Cheng Chuang, Jing-Jhao Ye, Wan-Chun Lin, Kuan-Ting Lee, Yu-Ting Tai

Erschienen in: Journal of Clinical Monitoring and Computing | Ausgabe 6/2015

Einloggen, um Zugang zu erhalten

Abstract

Heart rate variability (HRV) is a well-known method for the assessment of autonomic nervous function of the heart. Previous study suggested that pulse rate variability (PRV) determined by photoplethysmography could be used instead of HRV to more simply assess autonomic nervous function. However, most research studies included healthy subjects. Thus, the aim of this study was to investigate the feasibility for PRV as a surrogate index for patients with chronic pain. This study investigated the correlation coefficient (by Pearson correlation) and agreement (by Bland–Altman analysis) between PRV and HRV in chronic pain patients in the clinical setting. The results showed high significant correlations (p < 0.001, r > 0.86) between all the HRV and PRV parameters and good agreements (ratio < 0.1) between the parameters in terms of HR, mean RR, VLF, LF, nLF, nHF, and SD1/SD2. Our study suggests that HRV can also be reliably estimated using the photoplethysmography-based PP interval in elderly patients with chronic pain.
Literatur
1.
Zurück zum Zitat Malik M, et al. Heart rate variability standards of measurement, physiological interpretation, and clinical use. Eur Heart J. 1996;17(3):354–81.CrossRef Malik M, et al. Heart rate variability standards of measurement, physiological interpretation, and clinical use. Eur Heart J. 1996;17(3):354–81.CrossRef
2.
Zurück zum Zitat Chuang CC, et al. Pain assessment in musculoskeletal pain patients by heart rate variability. J Musculoskelat Pain. 2007;15(4):67–74.CrossRef Chuang CC, et al. Pain assessment in musculoskeletal pain patients by heart rate variability. J Musculoskelat Pain. 2007;15(4):67–74.CrossRef
3.
Zurück zum Zitat Montano N, et al. Heart rate variability explored in the frequency domain: a tool to investigate the link between heart and behavior. Neurosci Biobehav Rev. 2009;33(2):71–80.CrossRefPubMed Montano N, et al. Heart rate variability explored in the frequency domain: a tool to investigate the link between heart and behavior. Neurosci Biobehav Rev. 2009;33(2):71–80.CrossRefPubMed
4.
Zurück zum Zitat Huikuri HV. Heart rate variability in coronary artery disease. J Intern Med. 1995;237(4):349–57.CrossRefPubMed Huikuri HV. Heart rate variability in coronary artery disease. J Intern Med. 1995;237(4):349–57.CrossRefPubMed
5.
Zurück zum Zitat Allen J. Photoplethysmography and its application in clinical physiological measurement. Physiol Meas. 2007;28(3):R1.CrossRefPubMed Allen J. Photoplethysmography and its application in clinical physiological measurement. Physiol Meas. 2007;28(3):R1.CrossRefPubMed
6.
Zurück zum Zitat Nakajima K, Tamura T, Miike H. Monitoring of heart and respiratory rates by photoplethysmography using a digital filtering technique. Med Eng Phys. 1996;18(5):365–72.CrossRefPubMed Nakajima K, Tamura T, Miike H. Monitoring of heart and respiratory rates by photoplethysmography using a digital filtering technique. Med Eng Phys. 1996;18(5):365–72.CrossRefPubMed
7.
Zurück zum Zitat Selvaraj N, et al. Assessment of heart rate variability derived from finger-tip photoplethysmography as compared to electrocardiography. J Med Eng Technol. 2008;32(6):479–84.CrossRefPubMed Selvaraj N, et al. Assessment of heart rate variability derived from finger-tip photoplethysmography as compared to electrocardiography. J Med Eng Technol. 2008;32(6):479–84.CrossRefPubMed
8.
Zurück zum Zitat Lu G, et al. A comparison of photoplethysmography and ECG recording to analyse heart rate variability in healthy subjects. J Med Eng Technol. 2009;33(8):634–41.CrossRefPubMed Lu G, et al. A comparison of photoplethysmography and ECG recording to analyse heart rate variability in healthy subjects. J Med Eng Technol. 2009;33(8):634–41.CrossRefPubMed
9.
Zurück zum Zitat Shi P, Hu S, Zhu Y. A preliminary attempt to understand compatibility of photoplethysmographic pulse rate variability with electrocardiogramic heart rate variability. J Med Biol Eng. 2008;28(4):173–80. Shi P, Hu S, Zhu Y. A preliminary attempt to understand compatibility of photoplethysmographic pulse rate variability with electrocardiogramic heart rate variability. J Med Biol Eng. 2008;28(4):173–80.
10.
Zurück zum Zitat Lu S, et al. Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information? J Clin Monit Comput. 2008;22(1):23–9.CrossRefPubMed Lu S, et al. Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information? J Clin Monit Comput. 2008;22(1):23–9.CrossRefPubMed
11.
Zurück zum Zitat Charlot K, et al. Interchangeability between heart rate and photoplethysmography variabilities during sympathetic stimulations. Physiol Meas. 2009;30(12):1357.CrossRefPubMed Charlot K, et al. Interchangeability between heart rate and photoplethysmography variabilities during sympathetic stimulations. Physiol Meas. 2009;30(12):1357.CrossRefPubMed
12.
Zurück zum Zitat Wong J-S, et al. A comparative study of pulse rate variability and heart rate variability in healthy subjects. J Clin Monit Comput. 2012;26(2):107–14.CrossRefPubMed Wong J-S, et al. A comparative study of pulse rate variability and heart rate variability in healthy subjects. J Clin Monit Comput. 2012;26(2):107–14.CrossRefPubMed
13.
Zurück zum Zitat Gil E, et al. Photoplethysmography pulse rate variability as a surrogate measurement of heart rate variability during non-stationary conditions. Physiol Meas. 2010;31(9):1271.CrossRefPubMed Gil E, et al. Photoplethysmography pulse rate variability as a surrogate measurement of heart rate variability during non-stationary conditions. Physiol Meas. 2010;31(9):1271.CrossRefPubMed
14.
Zurück zum Zitat Dehkordi P, et al. Pulse rate variability compared with heart rate variability in children with and without sleep disordered breathing. In: Engineering in medicine and biology society (EMBC), 2013 35th annual international conference of the IEEE: IEEE. Dehkordi P, et al. Pulse rate variability compared with heart rate variability in children with and without sleep disordered breathing. In: Engineering in medicine and biology society (EMBC), 2013 35th annual international conference of the IEEE: IEEE.
15.
Zurück zum Zitat Khandoker AH, Karmakar CK, Palaniswami M. Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea. Med Eng Phys. 2010;33(2):204–9.CrossRefPubMed Khandoker AH, Karmakar CK, Palaniswami M. Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea. Med Eng Phys. 2010;33(2):204–9.CrossRefPubMed
16.
Zurück zum Zitat Elliott AM, et al. The epidemiology of chronic pain in the community. The Lancet. 1999;354(9186):1248–52.CrossRef Elliott AM, et al. The epidemiology of chronic pain in the community. The Lancet. 1999;354(9186):1248–52.CrossRef
17.
Zurück zum Zitat Bouhassira D, et al. Prevalence of chronic pain with neuropathic characteristics in the general population. Pain. 2008;136(3):380–7.CrossRefPubMed Bouhassira D, et al. Prevalence of chronic pain with neuropathic characteristics in the general population. Pain. 2008;136(3):380–7.CrossRefPubMed
18.
Zurück zum Zitat Breivik H, et al. Survey of chronic pain in Europe: prevalence, impact on daily life, and treatment. Eur J Pain. 2006;10(4):287.CrossRefPubMed Breivik H, et al. Survey of chronic pain in Europe: prevalence, impact on daily life, and treatment. Eur J Pain. 2006;10(4):287.CrossRefPubMed
19.
Zurück zum Zitat Tsai Y-F, et al. Pain prevalence, experiences and management strategies among the elderly in Taiwanese nursing homes. J Pain Symptom Manage. 2004;28(6):579–84.CrossRefPubMed Tsai Y-F, et al. Pain prevalence, experiences and management strategies among the elderly in Taiwanese nursing homes. J Pain Symptom Manage. 2004;28(6):579–84.CrossRefPubMed
20.
Zurück zum Zitat Chang C-L, et al. Validation of automated arrhythmia detection for Holter ECG. In Engineering in medicine and biology society, 1998. Proceedings of the 20th annual international conference of the IEEE. (1998) IEEE. Chang C-L, et al. Validation of automated arrhythmia detection for Holter ECG. In Engineering in medicine and biology society, 1998. Proceedings of the 20th annual international conference of the IEEE. (1998) IEEE.
21.
Zurück zum Zitat Berger RD, et al. An efficient algorithm for spectral analysis of heart rate variability. IEEE Trans Biomed Eng. 1986;9:900–4.CrossRef Berger RD, et al. An efficient algorithm for spectral analysis of heart rate variability. IEEE Trans Biomed Eng. 1986;9:900–4.CrossRef
22.
Zurück zum Zitat Huikuri HV, et al. Abnormalities in beat-to-beat dynamics of heart rate before the spontaneous onset of life-threatening ventricular tachyarrhythmias in patients with prior myocardial infarction. Circulation. 1996;93(10):1836–44.CrossRefPubMed Huikuri HV, et al. Abnormalities in beat-to-beat dynamics of heart rate before the spontaneous onset of life-threatening ventricular tachyarrhythmias in patients with prior myocardial infarction. Circulation. 1996;93(10):1836–44.CrossRefPubMed
23.
Zurück zum Zitat Woo MA, et al. Patterns of beat-to-beat heart rate variability in advanced heart failure. Am Heart J. 1992;123(3):704–10.CrossRefPubMed Woo MA, et al. Patterns of beat-to-beat heart rate variability in advanced heart failure. Am Heart J. 1992;123(3):704–10.CrossRefPubMed
24.
Zurück zum Zitat D’Addio G, et al. Correlation between power-law behavior and poincare plots of heart rate variability in congestive heart failure patients. In: Computers in cardiology, (1999). IEEE. D’Addio G, et al. Correlation between power-law behavior and poincare plots of heart rate variability in congestive heart failure patients. In: Computers in cardiology, (1999). IEEE.
25.
Zurück zum Zitat Radespiel-Tröger M, et al. Agreement of two different methods for measurement of heart rate variability. Clin Auton Res. 2003;13(2):99–102.CrossRefPubMed Radespiel-Tröger M, et al. Agreement of two different methods for measurement of heart rate variability. Clin Auton Res. 2003;13(2):99–102.CrossRefPubMed
26.
Zurück zum Zitat Ikeda, K. Quantitative evaluation of pain by analyzing non-invasively obtained physiological data with particular reference to joint healing with continuous passive motion. In Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE. (1995) IEEE. Ikeda, K. Quantitative evaluation of pain by analyzing non-invasively obtained physiological data with particular reference to joint healing with continuous passive motion. In Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE. (1995) IEEE.
27.
Zurück zum Zitat Evans S, et al. Heart rate variability as a biomarker for autonomic nervous system response differences between children with chronic pain and healthy control children. J Pain Res. 2013;6:449.PubMedCentralPubMed Evans S, et al. Heart rate variability as a biomarker for autonomic nervous system response differences between children with chronic pain and healthy control children. J Pain Res. 2013;6:449.PubMedCentralPubMed
28.
Zurück zum Zitat Gockel M, et al. Perceived disability but not pain is connected with autonomic nervous function among patients with chronic low back pain. J Rehabil Med. 2008;40(5):355–8.CrossRefPubMed Gockel M, et al. Perceived disability but not pain is connected with autonomic nervous function among patients with chronic low back pain. J Rehabil Med. 2008;40(5):355–8.CrossRefPubMed
Metadaten
Titel
Photoplethysmography variability as an alternative approach to obtain heart rate variability information in chronic pain patient
verfasst von
Chiung-Cheng Chuang
Jing-Jhao Ye
Wan-Chun Lin
Kuan-Ting Lee
Yu-Ting Tai
Publikationsdatum
01.12.2015
Verlag
Springer Netherlands
Erschienen in
Journal of Clinical Monitoring and Computing / Ausgabe 6/2015
Print ISSN: 1387-1307
Elektronische ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-015-9669-8

Weitere Artikel der Ausgabe 6/2015

Journal of Clinical Monitoring and Computing 6/2015 Zur Ausgabe

Update AINS

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.