Browsing by Subject "Heart rate"
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Item Open Access Design of a web laboratory interface for ECG signal analysis using MATLAB builder NE(Walter de Gruyter GmbH, 2022-01-01) Jaber, Hussain A.; Aljobouri, Hadeel K.; Çankaya, IlyasAn electrocardiogram (ECG) is a noninvasive test, determining any defect in the heart rate or rhythm or changes in the shape of the QRS complex is very significant to detect cardiac arrhythmia. In this study, novel web-ECG simulation tools were proposed using MATLAB Builder NE with WebFigure and ASP.NET platform. The proposed web-ECG simulation tools consisted of two components. First, involved the analyses of normal real ECG signals by calculating the P, Q, R, S, and T values and detecting heart rate, while the second part related to extracting the futures of several types of abnormality real ECG. For calculating the PQRST values, simple and new mathematical equations are proposed in the current study using MATLAB. The Web ECG is capable to plot normal ECG signals and five arrhythmia cases, so the users are able to calculate PQRST easily using the proposed simple method. ECG simulation tools have been tested for validity and educational contributions with 62 undergraduate and graduate students at the Al-Nahrain University-Biomedical Engineering Department, Iraq. The proposed ECG simulation tools have been designed for academic learning to be run easily by a student using only any web browsers without the need for installing MATLAB or any extra programs. The proposed tools could provide a laboratory course for ECG signal analysis using a few buttons, as well as increase and develop the educational skills of students and researchers. © 2022 Hussain A. Jaber et al., published by De Gruyter.Item Open Access Model based and experimental investigation of the heart rate response to inspiratory hold(IEEE, 2007) Şengün, Esra; İder, Yusuf ZiyaThe goal of this study is experimental and model based investigation of the respiratory effect on Heart Rate Variability (HRV). In this study, the ECG and respiration were recorded from 6 healthy volunteers who were told to hold their breath for 30 seconds. 5 recordings were taken from each volunteer and signal averaging was used. It was observed that HRV changes with oscillatory behavior at around 0.1 Hz and returns approximately to the value before the beginning of breath hold. Moreover, by using the characteristics of actual respiratory signals. the HRV predicted by the UrsinoMagosso model was calculated. The actual HRV and the model predicted HRV were compared in time domain, and were found to be in concordance in general.