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

Szmajda Mirosław, Chyliński Mirosław, Sacha Jerzy, Mroczka Janusz

Metrology and Measurement Systems

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2024

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Vol. 31, nr 1

51--71

EN

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

Szmajda Mirosław, Chyliński Mirosław, Sacha Jerzy, Mroczka Janusz

Metrology and Measurement Systems

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2023

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Vol. 30, nr 4

821--837

EN

In the diagnosis of many disease entities directly or indirectly related to disorders of respiratory parameters and heart disease, an important support would be to estimate the temporal changes in these parameters (most often respiratory wave (RW) and respiratory rate (RR)) on the basis the results of measurements of other physiological parameters of the patient. Such a possibility exists during ECG examination. The paper presents three methods for estimating RW and RR using ECG signal processing. The three procedures developed are shown: using Savitzky-Golay filtering (S-G), the ECG-Derived Respiration method (EDR) and the Respiratory Sinus Arrhythmia Analysis method (RSA). It must be clearly stated that the proposed methods are not designed to fully diagnose the patient’s respiratory function, but they can be applied to detect some conditions that are difficult to diagnose when performing an ECG, such as sleep-disordered breathing. The obtained results of the analysis were compared with those obtained from a dedicated measurement system developed by the authors. The second part of the paper will show the results of preliminary clinical verification of the developed analysis methods, taking into account the physiological parameters of the patient.

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Wyznaczanie częstości oddychania na podstawie analizy widmowej zmienności okresu sygnału fotopletyzmograficznego

Wilk B., Pazowski M.

Pomiary Automatyka Kontrola

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2014

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R. 60, nr 8

610--613

PL

W artykule opisano algorytm do wyznaczania częstości oddychania na podstawie analizy widmowej sygnału reprezentującego zmienność okresu fali tętna. Falę tętna zarejestrowano za pomocą czujnika fotopletyzmograficznego (tzw. PPG) umieszczonego na placu ręki. Do przetwarzania sygnału PPG zaproponowano zastosowanie analizy falkowej. Przeprowadzono także ocenę dokładności opracowanej metody wykorzystując sygnał referencyjny, który reprezentuje przepływ powietrza w czasie wydechu.

EN

The arterial pressure waveform contains valuable information regarding the respiratory rate. This paper describes the algorithm developed for estimating the respiratory rate by analyzing the period variability of the peripheral pulse wave. To record a pulse wave at the finger, a transmissiontype photoplethysmographic sensor was used. PPG signals were collected from 10 healthy subjects during free breathing, and breath holding over a period of 3-min using a data acquisition system (Fig. 1). The reference breathing rate was determined from the airflow signal recorded simultaneously with the PPG signal (Figs. 7 and 8). Firstly, the PPG signal was detrended and denoised using the wavelet transform (Fig. 2 and 3). Based on the locations of the maximum points, all periods were detected and the tachogram was constructed. The signal representing the period variability (PPV) was obtained by interpolating the envelope of the tachogram with a cubic polynomial function (Fig. 5). Then, fluctuations extracted by the DWT from the PPV signal were segmented into 10 s intervals. Using Burg’s method, the AR model based PSD was computed for each segment. Finally, the respiratory component was detected as the maximum in the frequency band of 0.150.4 Hz (Fig. 6). The obtained results show (Fig. 9) that the proposed method allows us to monitor the respiratory rate and to detect the induced apnea with the acceptable accuracy.

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Wyznaczanie częstości oddychania na podstawie analizy obwiedni amplitudowej sygnału PPG

Wilk B.

Pomiary Automatyka Kontrola

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2013

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R. 59, nr 12

1298--1300

PL

W artykule przedstawiono metodę wyznaczania częstości oddychania na podstawie analizy górnej obwiedni amplitudowej sygnału PPG, który reprezentuje falę tętna obwodowego w palcu ręki. Obwiednię uzyskano w wyniku aproksymacji lokalnych maksimów splajnami. Opracowana metoda umożliwia określenie czasu trwania każdego cyklu oddechowego oraz pozwala wykryć bezdech. Do oceny dokładności tej metody wykorzystano sygnał referencyjny, który reprezentuje przepływ powietrza w czasie oddychania.

EN

This paper presents a novel method for the estimation of respiratory rate by analyzing the amplitude envelope of a peripheral pulse wave. To record a pulse wave at the finger of the hand a transmission-type photoplethysmographic (PPG) sensor was used. The PPG sensor is sensitive to variations in blood volume. Variations in blood volume are caused by cardiovascular regulation, thermoregulation and respiration. PPG signals show significant morphological differences under the normal and induced apnea conditions (Fig.2). The amplitude fluctuations of PPG were found to drop under apnea (Fig.3).The amplitude envelope of the PPG signal was obtained by interpolating every interval [maxi, maxi + 1] with a cubic polynomial function (Figs. 1 and 3). The breathing rate determined from the airflow signal recorded simultaneously with the PPG signal, served as a reference value (Fig. 5). The results show that the proposed method is a promising technique for detection of each respiratory period, for calculating a respiratory rate, and for detecting apnea (Fig. 5, Fig. 7).