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Fast fourier transform analysis of low frequency components in respiratory signals

100%

Chyliński M.

Zeszyty Naukowe. Elektryka / Politechnika Opolska

2019

tom z. 77

29--32

This paper presents a results of a Fast Fourier Transform (FFT) analysis of the electric activity of the respiratory muscles. The recorded respiratory signal measured by an author's measurement system was correlated with extracted breathing signal from the electrocardiogram (ECG). As the results of the analysis, the inhalations and exhalations are represented by low frequency components in ECG signal.

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

51%

Szmajda M. , Chyliński M. , Sacha J. , Mroczka J.

Metrology and Measurement Systems

2023

tom Vol. 30, nr 4

821--837

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.

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

51%

Szmajda M. , Chyliński M. , Sacha J. , Mroczka J.

Metrology and Measurement Systems

2024

tom Vol. 31, nr 1

51--71

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.