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Energy Conservation-based Thresholding for Effective Wavelet Denoising of Partial Discharge Signals
Published 2016“…In this study, a novel wavelet threshold estimation method, named energy conservation-based thresholding (ECBT), is introduced. The proposed thresholding function is capable of conserving a significant portion of the original signal energy, while the threshold value is determined based on the relative difference between the original and noisy signal energies. …”
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Assessing the Impact of Reactive Power Droop on Inverter Based Microgrid Stability
Published 2021“…This paper utilizes small-signal stability analysis to analyze the impact of the reactive power droop gain on micro-grid stability, which is ignored in previous work. …”
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Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals
Published 2025“…Our novel approach enables remote monitoring of critical patients continuously, especially those undergoing surgery, by predicting ABP waveforms from non-contact radar signals. This breakthrough offers significant advantages, facilitating continuous ABP monitoring without the need for invasive procedures or cumbersome wearable sensors.…”
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Stress Management Using Physiological Signals and Audio Stimulation
Published 2021Get full text
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Security Analysis of Integrated HAP-Based FSO and UAV-Enabled RF Downlink Communications
Published 2024“…To safeguard against eavesdropping, especially during emergencies, we propose a physical-layer security mechanism to enhance the control signaling resilience in disaster response and network failure detection. …”
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On the Performance of Self-Concatenated Coding for Wireless Mobile Video Transmission Using DSTS-SP-Assisted Smart Antenna System
Published 2021“…This article presents a novel approach to the concept of Self-Concatenated Convolutional Coding (SECCC) with Sphere Packing (SP) modulation via Differential Space-Time Spreading- (DSTS-) based smart antennas. The two transmitters provide transmit diversity which is capable of recuperating the signal from the effects of fading, even with a single receiving antenna. …”
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The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review
Published 2022“…Brain–computer interfaces (BCI) can support people who have issues with their speech or who have been paralyzed to communicate with their surroundings via brain signals. Therefore, EEG signal-based BCI has received significant attention in the last two decades for multiple reasons: (i) clinical research has capitulated detailed knowledge of EEG signals, (ii) inexpensive EEG devices, and (iii) its application in medical and social fields. …”
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Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System
Published 2025“…This paper presents a comprehensive small-signal modeling and stability analysis framework for grid-connected virtual synchronous generators (VSGs), integrating: an LCL-filter interfaced power converter, active/reactive power loop (APL/RPL) controllers, and dual-loop PI-based current and voltage control. …”
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System biology approaches identified novel biomarkers and their signaling pathways involved in renal cell carcinoma with different human diseases
Published 2022“…The study found critical genetic factors and signal transduction pathways that share pathophysiology and commonly use dysregulated genes of the illness. …”
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SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network
Published 2025“…The proposed model processes raw ECG signals using a TCN-based feature extractor, followed by spectral graph convolutions via a GCN. …”
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Graphical Insight: Revolutionizing Seizure Detection with EEG Representation
Published 2024“…We construct a graph representation of EEG signals by extracting features such as frequency-based, statistical-based, and Daubechies wavelet transform features. …”
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LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
Published 2024Get full text
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Special Issue: Empowering eHealth with Smart Internet of Things (IoT) Medical Devices
Published 2019“…IoT helps to store data for millions of patients and perform analysis in real-time, promoting an evidence-based medicine system. This Special Issue has focused on pioneering future directions and innovation in smart wearable embedded solutions and IoT with applications in connected health, biomedical signal processing and smart environments. …”
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