Three methods for determining respiratory waves from ECG (Part I)

Szmajda, Miroslaw; Chyliński, Mirosław; Szacha, Jerzy; Mroczka, Janusz

doi:10.24425/mms.2023.147956

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…The theoretical aspects of the issues were presented in the first part of the publication, in the paper entitled: "Three Methods for Determining the Respiratory Waves from the ECG (part I)" [19]. In the current, second part, the selection of optimal S-G filter parameters to enable baseline wander extraction from the ECG signal will be carried out, and the effect of ECG lead number selection on RR estimation error for each method will be investigated.…”

Section: Introductionmentioning

confidence: 99%

Three methods for determining the respiratory waves from ECG (Part II)

Szmajda,

Chylinski,

Sacha

et al. 2024

Metrology and Measurement Systems

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This paper presents the results of a study of three methods for estimating the respiratory wave (RW) and respiratory rate (RR) using the electrocardiogram (ECG). There were applied methods from different groups: amplitude modulation ECG-Derived Respiration (EDR), frequency modulation Respiratory Sinus Arrhythmia (RSA) and Baseline Wander (BW) processing with the Savitzky–Golay filter (S–G). The theoretical aspects of the methods were presented in the Part 1 of the publication which was entitled: “Three Methods for the Determination of the Respiratory Waves from ECG Part I”. RR parameter estimation was performed for all the three methods for 12 subjects. The research concerning the influence of the parameters: Body Mass Index (BMI), Tidal Volume (TV) -, Forced Expiratory Volume in 1 second (FEV1) and – Forced Vital Capacity (FVC) on the errors of the estimated parameter RR. Moreover, all 12 signals, which were acquired with the help of a 12-lead Holter ECG were taken into consideration. The results indicate a preliminary dependence of respiratory parameters and BMI on the Respiratory Wave and, further, on the RR estimation errors. Consequently, the type of method and ECG Holter leads depend on the BMI and respiratory parameters. Studies with larger numbers of objects to definitively confirm these relationships are planned. In addition, an optimal selection of S–G filter parameters was carried out. Finally, a proprietary reference embedded system for recording RW and calculating RR was demonstrated.

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Section: Introductionmentioning

confidence: 99%

Three methods for determining the respiratory waves from ECG (Part II)

Szmajda,

Chylinski,

Sacha

et al. 2024

Metrology and Measurement Systems

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Comparison of short-term breathing rate asymmetry of preeclamptic and normotensive women in labor

Gonzalez-Reyes,

Mendieta-Zerón,

Abarca-Castro

et al. 2024

Eur. Phys. J. Spec. Top.

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Breathing rate asymmetry (BRA) refers to the observed disparities in the acceleration and deceleration phases of human respiration. The techniques employed to assess BRA could also be utilized in exploring hypertensive disorders like pre-eclampsia, which is known to cause autonomic cardiorespiratory changes. This study explores features of complexity, including the asymmetry (time irreversibility) of short-term breath-to-breath breathing rate variability among women with severe and moderate pre-eclampsia features compared to those with normal blood pressure. In our study, we retrospectively analyzed continuous respirogram recordings from women in labor, including those diagnosed with severe pre-eclampsia (SP = 22), moderate pre-eclampsia (P = 19), and normotensive control group (C = 35). Using these data, we calculated 5 min of breath-to-breath (BB) time series to measure Porta's index (P%), Guzik's index (G%), and Ehlers' index (E), alongside measures of asymmetrical entropy, including the entropy of acceleration runs (HAR), the entropy of deceleration runs (HDR), and total entropy (H). In addition, Fuzzy Entropy (FuzzEn) and Multiscale Fuzzy Entropy (MFE) over timescales 1–20 were calculated from the BB time series. The nonlinearity was assessed by surrogate analysis. The study's results revealed significant differences in short-term BRA; specifically, mean values of G% and E were the lowest in SP compared to C and P. Conversely, mean values of the HDR were higher in the SP group than the C. Higher mean values of MFE and a greater percentage of nonlinearity were observed in the SP group as compared to the C group. Our results suggest that women with severe pre-eclampsia may exhibit a higher short-term BRA characterized by a lower contribution of breathing rate decelerations to short-term variability, higher irregularity and nonlinearity of BB time series, and particularly more irregular behavior of decelerations compared to normotensive women. This may indicate a potential modification in the autonomic control of breathing rate and breathing instability.

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Three methods for determining respiratory waves from ECG (Part I)

Cited by 2 publications

References 35 publications

Three methods for determining the respiratory waves from ECG (Part II)

Three methods for determining the respiratory waves from ECG (Part II)

Comparison of short-term breathing rate asymmetry of preeclamptic and normotensive women in labor

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