Analysis of heart rate variability and skin blood flow oscillations under deep controlled breathing

Красников, Г. В.; Tyurina, M. Y.; Tankanag, Arina V.; Пискунова, Г. М.; Chemeris, N. K.

doi:10.1016/j.resp.2012.11.007

Cited by 28 publications

(24 citation statements)

References 39 publications

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“…It is known that slow breathing induces a generalized decrease of excitatory pathways in the regulation of cardiovascular and respiratory systems (Joseph et al, 2005 ; Laborde et al, 2017 ; Steffen et al, 2017 ). Some authors have shown that controlled ventilation, particularly slow breathing 3-6 breaths/min, reduces HR and BP both in healthy individuals (Sakakibara and Hayano, 1996 ; Krasnikov et al, 2013 ) and hypertensive patients (Joseph et al, 2005 ). The mechanisms involved in the changes imposed by slow ventilation, however, are not yet fully known.…”

Section: Discussionmentioning

confidence: 99%

“…Controlled breathing maneuver is a methodology widely used to evaluate cardiovascular autonomic control (Pinna et al, 2006 ; Adams et al, 2009 ; Stein et al, 2011 ; Porta et al, 2012 ; Ferreira et al, 2013 ; Krasnikov et al, 2013 ). Widespread evidence showing important effects of respiratory profile (rate, rhythm and amplitude) on beat-to-beat cardiovascular variability (Sakakibara and Hayano, 1996 ; Cooke et al, 1998 ; Bernardi et al, 2001 ; Pinna et al, 2006 ; Carnevali and Sgoifo, 2014 ; Laborde et al, 2017 ; Steffen et al, 2017 ) and the voluntary breathing control was proposed as an effective way to avoid confounding factors in short-time evaluations of cardiovascular variability (Radaelli et al, 1994 ; Pinna et al, 2006 ; DeBeck et al, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Vagal Stimulation Protocol Based on Spontaneous Breathing Rate

Souza¹,

Ferreira

Schein³

et al. 2018

Front. Physiol.

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Controlled breathing maneuver is being widely applied for cardiovascular autonomic control evaluation and cardiac vagal activation through reduction of breathing rate (BR). However, this maneuver presented contradictory results depending on the protocol and the chosen BR. These variations may be related to the individual intrinsic profile baseline sympathetic tonus, as described before by others. In this study, we evaluated the effect of controlled breathing maneuver on cardiovascular autonomic control in 26 healthy subjects allocated into two protocols: (1) controlled breathing in three different rates (10, 15, and 20 breaths/min) and (2) controlled breathing in rates normalized by the individual spontaneous breathing rate (SBR) at 100, 80, 70, and 50%. Our results showed autonomic responses favorable to vagal modulation with the lower BR maneuvers. Nevertheless, while this activation was variable using the standard protocol, all participants of the normalized protocol demonstrated an increase of vagal modulation at 80% BR (HFnu 80 = 67.5% vs. 48.2%, p < 0.0001). These results suggest that controlled breathing protocols to induce vagal activation should consider the SBR, being limited to values moderately lower than the baseline.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of Vagal Stimulation Protocol Based on Spontaneous Breathing Rate

Souza¹,

Ferreira

Schein³

et al. 2018

Front. Physiol.

View full text Add to dashboard Cite

show abstract

“…There has been a number of studies suggesting to remove respiratory effects in ECG signals [7,8,10]. It can be a simple task of counting the respiration rate for apnea checking of the patients like in [11], where an accelerometer was used to count the number of breaths simultaneously with the ECG measuring process.…”

Section: A Short Review Of Methods For Breathing Effects Reduction Fomentioning

confidence: 99%

“…At the same time, it's known that during inhaling period, the heart rate accelerates and during the exhaling period, the heart rate slows down. These factors (and not only) lead to changes in the ECG signal [7]. An ECG signal, as the superposition of a number of electrical events in the heart, consists of characteristic points as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

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A Solution for Improvement of Ecg Arrhythmia Recognition Using Respiration Information

Linh¹

2018

JST

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Electrocardiogram (ECG) and respiration signals are two basic and important and valuable biomedical signals as source of information used to determine a person's health status. However, ECG signals are usually of small amplitude and are susceptible to various noises such as: the 50Hz grid noise, poor electrodes’ contacts with the patient's skin, the patient's emotional variations, the respiration and movement of the patient... The idea in this paper by filtering out the effect of the respiration in the ECG signal or by incorporating the information of breathing stage into the ECG signal classification the we can improve the reliability and accuracy of the arrythmia classification. This paper proposes a solution, which uses wavelet filter to reduce the effect of respiration in the ECG signals and will use additional information from the breathing rhythm (when available) to help better classifying the arrythmias. As the main nonlinear classifier we use the classical neuro-fuzzy TSK network. The proposed solution will be tested with data from the MIT-BIH and the MGH/MF databases.

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Exploratory analysis of spontaneous versus paced breathing on heart rate variability in veterans with combat‐related traumatic injury

Maqsood,

Schofield,

Bennett

et al. 2024

PM&R

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BackgroundRespiration is a crucial determinant of autonomic balance and heart rate variability (HRV). The comparative effect of spontaneous versus paced breathing on HRV has been almost exclusively explored in healthy adults and never been investigated in an injured military cohort.ObjectiveTo examine the effect of spontaneous versus paced breathing on HRV in veterans with combat‐related traumatic injury (CRTI).DesignObservational cohort study.SettingArmeD serVices trAuma rehabilitatioN outComE (ADVANCE) study, Stanford Hall, UK.ParticipantsThe sample consisted of 100 randomly selected participants who sustained CRTI (eg, amputation) during their deployment (Afghanistan 2003–2014) and were recruited into the ongoing ADVANCE prospective cohort study.InterventionNot applicable.Main Outcome MeasureHRV was recorded using a single‐lead ECG. HRV data were acquired during a sequential protocol of 5‐minute spontaneous breathing followed immediately by 5 minutes of paced breathing (six cycles/minute) among fully rested and supine participants. HRV was reported using time domain (root mean square of successive differences), frequency domain (low frequency and high frequency) and nonlinear (sample entropy) measures. The agreement between HRV during spontaneous versus paced breathing was examined using the Bland–Altman analysis.ResultsThe mean age of participants was 36.5 ± 4.6 years. Resting respiratory rate was significantly higher with spontaneous versus paced breathing (13.4 ± 3.4 vs. 7.6 ± 2.0 breaths/minute; p < .001), respectively. Resting mean heart rate and root mean square of successive differences were significantly higher with paced breathing than spontaneous breathing (p < .001). Paced breathing significantly increased median low frequency power than spontaneous breathing (p < .001). No significant difference was found in the absolute power of high frequency between the two breathing protocols. The Bland–Altman analysis revealed poor agreement between HRV values during spontaneous and paced breathing conditions with wide limits of agreement.ConclusionSlow‐paced breathing leads to higher HRV than spontaneous breathing and could overestimate resting “natural‐state” HRV.

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Analysis of heart rate variability and skin blood flow oscillations under deep controlled breathing

Cited by 28 publications

References 39 publications

Optimization of Vagal Stimulation Protocol Based on Spontaneous Breathing Rate

Optimization of Vagal Stimulation Protocol Based on Spontaneous Breathing Rate

A Solution for Improvement of Ecg Arrhythmia Recognition Using Respiration Information

Exploratory analysis of spontaneous versus paced breathing on heart rate variability in veterans with combat‐related traumatic injury

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