EEG is the most common test for diagnosing a seizure, where it presents information about the electrical activity of the brain. Automatic Seizure detection is one of the challenging tasks due to limitations of conventional methods with regard to inefficient feature selection, increased computational complexity and time and less accuracy. The situation calls for a practical framework to achieve better performance for detecting the seizure effectively. Hence, this study proposes modified Blackman bandpass filter-greedy particle swarm optimization (MBBF-GPSO) with convolutional neural network (CNN) for effective seizure detection. In this case, unwanted signals (noise) is eliminated by MBBF as it possess better ability in stopband attenuation, and, only the optimized features are selected using GPSO. For enhancing the efficacy of obtaining optimal solutions in GPSO, the time and frequency domain is extracted to complement it. Through this process, an optimized features are attained by MBBF-GPSO. Then, the CNN layer is employed for obtaining the productive classification output using the objective function. Here, CNN is employed due to its ability in automatically learning distinct features for individual class. Such advantages of the proposed system have made it explore better performance in seizure detection that is confirmed through performance and comparative analysis.
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http://dx.doi.org/10.1007/s11571-023-09943-1 | DOI Listing |
J Affect Disord
January 2025
Department of Anesthesiology and Intensive Care Medicine, Medical University of Innsbruck, Austria. Electronic address:
Background: Anesthesia depth influences seizure quality in patients undergoing electroconvulsive therapy (ECT). EEG-based neuromonitoring has been shown to detect adequate anesthesia depth for ECT. Anesthesia depth-guided ECT management may therefore be a reliable alternative to the predetermined anesthesia-to-stimulation time interval.
View Article and Find Full Text PDFChildren (Basel)
December 2024
Department of Oncology and Hematology, Children's Hospital Zagreb, Klaićeva 16, 10000 Zagreb, Croatia.
: Recent advances in childhood acute lymphoblastic leukemia (ALL) and lymphoblastic lymphoma (LL) management provide higher survival rates at the cost of increased toxicities. Acute neurotoxicity affects up to 10% of patients, requiring rapid recognition and treatment. : A retrospective observational study was performed to determine the frequency, clinical manifestations, radiological characteristics, treatment options and outcome of acute neurological adverse events in pediatric patients with lymphoid malignancies at the Department of Oncology and Hematology, Children's Hospital Zagreb, Croatia.
View Article and Find Full Text PDFNeurotherapeutics
January 2025
Department of Neurology, Massachusetts General Hospital, Boston MA, USA. Electronic address:
Electroencephalography (EEG) is invaluable in the management of acute neurological emergencies. Characteristic EEG changes have been identified in diverse neurologic conditions including stroke, trauma, and anoxia, and the increased utilization of continuous EEG (cEEG) has identified potentially harmful activity even in patients without overt clinical signs or neurologic diagnoses. Manual annotation by expert neurophysiologists is a major resource limitation in investigating the prognostic and therapeutic implications of these EEG patterns and in expanding EEG use to a broader set of patients who are likely to benefit.
View Article and Find Full Text PDFPLoS One
January 2025
Instituto de Microelectrónica de Sevilla (IMSE-CNM), Consejo Superior de Investigaciones Científicas (CSIC) and Universidad de Sevilla, Sevilla, Spain.
Epilepsy is a prevalent neurological disorder that affects approximately 1% of the global population. Approximately 30-40% of patients respond poorly to antiepileptic medications, leading to a significant negative impact on their quality of life. Closed-loop deep brain stimulation (DBS) is a promising treatment for individuals who do not respond to medical therapy.
View Article and Find Full Text PDFSci Rep
January 2025
Neurology Unit, Department of Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Astrocytoma is a common type of glioma and a frequent cause of brain tumour-related epilepsy. Although the link between glioma and epilepsy is well established, the precise mechanisms underlying epileptogenesis in astrocytoma remain poorly understood. In this study, we performed proteomic analysis of astrocytoma tissue from patients with and without seizures using mass spectrometry-based techniques.
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