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In this work, we propose a time-varying wave-shape extraction algorithm based on a modified version of the adaptive non-harmonic model for non-stationary signals. The model codifies the time-varying wave-shape informatio...

Abstract Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classifi...

"Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper,...

"Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper, ...

The paper analyzes the existing non-invasive methods and tools for measuring and monitoring heart rate (HR), glucose saturation and human blood glucose level (BGL), shows ways of improving them to increase accuracy and e...

"Seizure detection plays a central role in most aspects of epilepsy care. Understanding the complex epileptic signals system is a typical problem in electroencephalographic (EEG) signal processing. This problem requires...

Brain-computer interface (BCI) technology provides objective and quantitative biological assessment methods for the rehabilitation assessment of patients with neurological dysfunction by acquiring and decoding neural act...

Abstract Ratiometric fluorescence sensors, which intrinsically compensate for fluctuations in ambient and excitation light intensity, have garnered extensive interest for their enhanced analytical reliability. In this st...

"Appropriate diagnosis and treatment of epilepsy is a main public health issue. Patients suffering from this disease often exhibit different physical characterizations, which results from the synchronous and excessive di...

Electroencephalography (EEG) is a crucial technique for interpreting neurocognitive functions and the underlying neural information. Despite its advantages, such as high portability, cost-effectiveness and exceptional te...