Recurrence plot of heart rate variability signal in patients with vasovagal syncopes. (March 2016)
- Record Type:
- Journal Article
- Title:
- Recurrence plot of heart rate variability signal in patients with vasovagal syncopes. (March 2016)
- Main Title:
- Recurrence plot of heart rate variability signal in patients with vasovagal syncopes
- Authors:
- Schlenker, Jakub
Socha, Vladimír
Riedlbauchová, Lucie
Nedělka, Tomáš
Schlenker, Anna
Potočková, Veronika
Malá, Šárka
Kutílek, Patrik - Abstract:
- Abstract : Highlights: Recurrence analysis was applied for evaluation of HRV. HRV analysis based on standard methods and nonlinear method was compared. RQA results reflect lower heart rate variability in syncope group. Abstract: Currently, heart rate variability (HRV) is commonly evaluated using time and frequency domain analysis in the clinical practice. Due to the fact that cardiovascular system is regulated by the autonomic nervous system (ANS) that also influences HRV, however exhibits rather nonlinear behaviour, it appears more appropriate to apply nonlinear methods to evaluate functioning of ANS. This study presents recurrence analysis as a tool to test the presence of ANS dysfunction that is responsible i.e. for orthostatic (vasovagal) syncope by which abnormal HRV has been demonstrated in the past. Study included 18 patients that experienced vasovagal syncope (mean age 23.7 ± 5.2 years) and 18 healthy subjects (mean age 24.5 ± 3.2, p = 0.85). In all tested subjects, ECG recording was performed during active orthostatic test that comprised two phases (5 min of resting in a supine position and 5 min of active standing). Sequence of R-R intervals (time intervals between two consecutive heart beats derived from ECG) was analysed using standard time (mean RR, mean HR, SDNN, SDHR, RMSSD, NN 50 and pNN 50) and frequency domain ( LF, HF and LF / HF ratio) analysis. Moreover, recurrence analysis was performed ( RATIO, DIV, AVDL, MAXV, DET, ENTR, LMAX, TT and LAM ). FrequencyAbstract : Highlights: Recurrence analysis was applied for evaluation of HRV. HRV analysis based on standard methods and nonlinear method was compared. RQA results reflect lower heart rate variability in syncope group. Abstract: Currently, heart rate variability (HRV) is commonly evaluated using time and frequency domain analysis in the clinical practice. Due to the fact that cardiovascular system is regulated by the autonomic nervous system (ANS) that also influences HRV, however exhibits rather nonlinear behaviour, it appears more appropriate to apply nonlinear methods to evaluate functioning of ANS. This study presents recurrence analysis as a tool to test the presence of ANS dysfunction that is responsible i.e. for orthostatic (vasovagal) syncope by which abnormal HRV has been demonstrated in the past. Study included 18 patients that experienced vasovagal syncope (mean age 23.7 ± 5.2 years) and 18 healthy subjects (mean age 24.5 ± 3.2, p = 0.85). In all tested subjects, ECG recording was performed during active orthostatic test that comprised two phases (5 min of resting in a supine position and 5 min of active standing). Sequence of R-R intervals (time intervals between two consecutive heart beats derived from ECG) was analysed using standard time (mean RR, mean HR, SDNN, SDHR, RMSSD, NN 50 and pNN 50) and frequency domain ( LF, HF and LF / HF ratio) analysis. Moreover, recurrence analysis was performed ( RATIO, DIV, AVDL, MAXV, DET, ENTR, LMAX, TT and LAM ). Frequency domain analysis did not demonstrate significant difference between the two groups in any of the parameters during both phases of the test. On the contrary, both time domain analysis and recurrence analysis showed comparable findings in both groups during resting phase of the orthostatic test with a significant change of most tested parameters after stand-up. As the use of time domain HRV may be perceived as problematic regarding their interpretation in short ECG recordings, recurrence analysis appears to be a sensitive tool for detecting ANS dysfunction in patients with vasovagal syncope. … (more)
- Is Part Of:
- Biomedical signal processing and control. Volume 25(2016)
- Journal:
- Biomedical signal processing and control
- Issue:
- Volume 25(2016)
- Issue Display:
- Volume 25, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 25
- Issue:
- 2016
- Issue Sort Value:
- 2016-0025-2016-0000
- Page Start:
- 1
- Page End:
- 11
- Publication Date:
- 2016-03
- Subjects:
- Recurrence analysis -- Recurrence plot -- Heart rate variability -- Vasovagal syncope -- Nonlinear analysis
Signal processing -- Periodicals
Biomedical engineering -- Periodicals
Signal Processing, Computer-Assisted -- Periodicals
Image Processing, Computer-Assisted -- Periodicals
Biomedical Engineering -- Periodicals
610.28 - Journal URLs:
- http://www.sciencedirect.com/science/journal/17468094 ↗
http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2329675%232006%23999989998%23626449%23FLA%23&_cdi=29675&_pubType=J&_auth=y&_acct=C000045259&_version=1&_urlVersion=0&_userid=836873&md5=664b5cf9a57fc91971a17faf20c32ec1 ↗ - DOI:
- 10.1016/j.bspc.2015.10.007 ↗
- Languages:
- English
- ISSNs:
- 1746-8094
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2087.880400
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