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.
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.
EnviroPulmoGuard to dedykowany dla osób z przewlekłymi chorobami układu oddechowego system teleinformatyczny, uwzględniający parametry lokalnego środowiska, który umożliwia zarówno interaktywne monitorowanie stanu zdrowia nadzorowanych osób, jak i wczesną prewencję i spersonalizowaną terapię. Opracowany wyrób medyczny przeznaczony jest do monitorowania i nadzoru stanu zdrowia osób chorych na astmę i przewlekłą obturacyjną chorobę płuc (POChP). W pracy przedstawiono zaawansowany system nadzoru medycznego, który łączy w sobie innowacyjną technologię i wiedzę z zakresu inżynierii biomedycznej w przedmiocie monitorowania parametrów oddechowych i jakości powietrza. Ponadto ukazano ideę działania systemu, jego potencjalne korzyści i pozytywny wpływ, jaki może mieć na jakość życia osób z chorobami układu oddechowego. Jest to świadectwo wagi innowacji mającej na celu poprawę komfortu życia osób, które codziennie zmagają się z wyzwaniami związanymi z dolegliwościami układu oddechowego.
EN
EnviroPulmoGuard is an teleinformatic system dedicated to people with chronic respiratory diseases, enabling interactive monitoring of the health of supervised persons, taking into account the parameters of the local environment, and enabling early prevention and personalized therapy. The developed medical device is intended to monitor and supervise the health of people suffering from asthma and chronic obstructive pulmonary disease (COPD). The work will present an advanced medical surveillance system that combines innovative technology and knowledge in the field of biomedical engineering in the field of monitoring respiratory parameters and air quality. The idea of the system, its potential benefits, and the positive impact it may have on the quality of life of people with respiratory diseases will be presented. This is a testament to the importance of innovation aimed at improving the quality of life of people who struggle every day with the challenges of respiratory ailments.
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