Validity of Heart Rate Variability Using Poincare Plot for Assessing Vagal Tone during General Anesthesia

Park, Soo Kyung; Kang, Su Jin; Im, Hang Soo; Cheon, Moo Young; Bang, Ji‐Yeon; Shin, Won Jung; Choi, Byung‐Moon; Youn, Mi Ok; Kim, Young‐Kug; Hwang, Gyo Seung; Cho, Sung Kang

doi:10.4097/kjae.2005.49.6.765

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…The study of the Poincaré map allowed us to broaden the investigation on the reliability of iPPG as a technique for the assessment of autonomic regulation. In fact, by adding to the list of standard features those calculated from the shape of the Poincaré plot using the ellipse fitting method, it is possible to evaluate two other parameters traditionally linked to vagal activity: SD1 and SD1/SD2 [ 54 , 55 ]. As for SD1, the most promising findings were obtained by applying the GRD method, but the Spearman correlation coefficient was equal to 0.4.…”

Section: Discussionmentioning

confidence: 99%

Contactless Cardiovascular Assessment by Imaging Photoplethysmography: A Comparison with Wearable Monitoring

Lopata

Scilingo

et al. 2023

Sensors

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Despite the notable recent developments in the field of remote photoplethysmography (rPPG), extracting a reliable pulse rate variability (PRV) signal still remains a challenge. In this study, eight image-based photoplethysmography (iPPG) extraction methods (GRD, AGRD, PCA, ICA, LE, SPE, CHROM, and POS) were compared in terms of pulse rate (PR) and PRV features. The algorithms were made robust for motion and illumination artifacts by using ad hoc pre- and postprocessing steps. Then, they were systematically tested on the public dataset UBFC-RPPG, containing data from 42 subjects sitting in front of a webcam (30 fps) while playing a time-sensitive mathematical game. The performances of the algorithms were evaluated by statistically comparing iPPG-based and finger-PPG-based PR and PRV features in terms of Spearman’s correlation coefficient, normalized root mean square error (NRMSE), and Bland–Altman analysis. The study revealed POS and CHROM techniques to be the most robust for PR estimation and the assessment of overall autonomic nervous system (ANS) dynamics by using PRV features in time and frequency domains. Furthermore, we demonstrated that a reliable characterization of the vagal tone is made possible by computing the Poincaré map of PRV series derived from the POS and CHROM methods. This study supports the use of iPPG systems as promising tools to obtain clinically useful and specific information about ANS dynamics.

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Section: Discussionmentioning

confidence: 99%

Contactless Cardiovascular Assessment by Imaging Photoplethysmography: A Comparison with Wearable Monitoring

Lopata

Scilingo

et al. 2023

Sensors

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“…In order to avoid influence of linear trend on low-frequency power it was removed. Poincare plot, where RR interval is plotted against the preceding RR interval, in a scatter plot analysis, has been widely used as a quantitative visual tool for HRV analysis [ [14] , [15] , [16] ]. After referring the Poincare plot (for the best possible ellipse) [ Fig.…”

Section: Methodsmentioning

confidence: 99%

Normative data and gender differences in heart rate variability in the healthy young individuals aged 18–30 years, a South Indian cross-sectional study

Kunnavil

Vijayadas

et al. 2021

Indian Pacing and Electrophysiology Journal

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“…Inclusion of ectopics during analysis results in falsely higher representation of HF component of HRV (47,48). Poincare plot, where RR interval is plotted against the preceding RR interval, in a scatter plot analysis, has been widely used as a quantitative visual tool for HRV analysis (49)(50)(51). After referring the Poincare plot (for the best possible ellipse), RR interval Tachogram, a plot of successive RR interval values against the interval number, and the spectrum for any ectopics and detection of R waves, a report was generated and results were entered onto an excel sheet and tabulated.…”

Section: Hrv Analysismentioning

confidence: 99%

Acute effects of passive listening to Indian musical scale on blood pressure and heart rate variability among healthy young individuals – a randomized controlled trial

Vijayadas

Kunnavil

et al. 2020

Preprint

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51Background: 52 Listening to music is entertaining but also has different health benefits. Music medicine 53 involves passive listening to music, while music therapy involves active music making. Indian 54 music is broadly classified into Hindustani and Carnatic music, each having their own system 55 of musical scales (ragas). Scientific studies of Indian music as an intervention is meagre. 56Current study determines the effect of passive listening to one melodic scale of Indian music 57 on cardiovascular electrophysiological parameters. 58 Methods: After informed consent, healthy individuals aged 18 -30 years, of either gender 59were recruited and randomly divided into 2 groups (n=34 each). Group A was exposed to 60 passive listening to the music intervention [Hindustani melodic scale elaboration (Bhimpalas 61 raga alaap)], while group B received no intervention except for few natural sounds (played 62 once in every 2 minutes). Blood pressure (BP, systolic -SBP; diastolic -DBP) and 63 Electrocardiogram in lead II were recorded with each condition lasting for 10 minutes (pre, 64 during, post). Heart rate variability (HRV) analysis was done. Data was analysed using SPSS 65 20.0 version and p<0.05 was considered significant. 66 Results: 67 Passive listening to the musical scale employed had a unique effect. In group A, the 68 SBP did not change during the intervention but increased insignificantly after the intervention 69 was stopped (P=0.054). The DBP increased in both the groups during intervention and was 70 significant among subjects in group A (P=0.009), with an increase of 1.676 mm Hg (P=0.012) 71 from pre-during and 1.824 mm Hg (P=0.026) from pre-post intervention. On HRV analysis 72 mean NN interval increased and HR reduced in both the groups, but was significant only in 73 group B (P=0.041 and 0.025 respectively). In group A, most of HRV parameters reduced 74 during music intervention, and tended to return towards baseline after intervention, but was 75 statistically significant for Total Power (P=0.031) and Low Frequency (P=0.013) change; while 76 in group B a consistent significant rise in parasympathetic indicators [SDNN, RMSSD, Total 77 power and HF (ms 2 )] over 30 minutes was observed.78 Conclusion: 79 Unique cardiovascular effects were recorded on passive listening to a particular Indian 80 music melodic scale, raga Bhimpalas, wherein, a mild arousal response, was observed. This 81 4could be due to attention being paid to the melodic scale as it was an unfamiliar tune or due to 82 certain notes of this melodic scale, that particularly caused an arousal or excitation response. 83In contrast, the control group had only relaxation response. Exploring electrophysiological 84 effects of different genres, melodic scales and its properties after familiarizing with the music 85 may be illustrative. 86

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Validity of Heart Rate Variability Using Poincare Plot for Assessing Vagal Tone during General Anesthesia

Cited by 6 publications

References 21 publications

Contactless Cardiovascular Assessment by Imaging Photoplethysmography: A Comparison with Wearable Monitoring

Contactless Cardiovascular Assessment by Imaging Photoplethysmography: A Comparison with Wearable Monitoring

Normative data and gender differences in heart rate variability in the healthy young individuals aged 18–30 years, a South Indian cross-sectional study

Acute effects of passive listening to Indian musical scale on blood pressure and heart rate variability among healthy young individuals – a randomized controlled trial

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