Browsing by Subject "Heart rate"

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    ItemOpen 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, Ilyas
    An 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.
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    Model based and experimental investigation of the heart rate response to inspiratory hold
    (IEEE, 2007) Şengün, Esra; İder, Yusuf Ziya
    The 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.
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    ItemEmbargo
    Self-poled piezoelectric nanocomposite fiber sensors for wireless monitoring of physiological signals
    (American Chemical Society, 2024-06-28) Hasan, Md Mehdi; Rahman, Mahmudur; Sadeque, Md Sazid; Ordu, Mustafa
    Self-powered sensors have the potential to enable real-time health monitoring without contributing to the ever-growing demand for energy. Piezoelectric nanogenerators (PENGs) respond to mechanical deformations to produce electrical signals, imparting a sensing capability without external power sources. Textiles conform to the human body and serve as an interactive biomechanical energy harvesting and sensing medium without compromising comfort. However, the textile-based PENG fabrication process is complex and lacks scalability, making these devices impractical for mass production. Here, we demonstrate the fabrication of a long-length PENG fiber compatible with industrial-scale manufacturing. The thermal drawing process enables the one-step fabrication of self-poled MoS2-poly(vinylidene fluoride) (PVDF) nanocomposite fiber devices integrated with electrodes. Heat and stress during thermal drawing and MoS2 nanoparticle addition facilitate interfacial polarization and dielectric modulation to enhance the output performance. The fibers show a 57 and 70% increase in the output voltage and current compared to the pristine PVDF fiber, respectively, at a considerably low MoS2 loading of 3 wt %. The low Young's modulus of the outer cladding ensures an effective stress transfer to the piezocomposite domain and allows minute motion detection. The flexible fibers demonstrate wireless, self-powered physiological sensing and biomotion analysis capability. The study aims to guide the large-scale production of highly sensitive integrated fibers to enable textile-based and plug-and-play wearable sensors.