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Purpose: Understanding fluctuations of seizure severity within individuals is important for defining treatment outcomes and response to therapy, as well as developing novel treatments for epilepsy. Current methods for grading seizure…

Epilepsy is a disorder of the nervous system that can affect people of any age group. With roughly 50 million people worldwide diagnosed with the disorder, it is one of the most common neurological disorders. The EEG is an indispensable…

Populations and Evolution · Quantitative Biology 2022-02-21 Niamh McCallan , Scot Davidson , Kok Yew Ng , Pardis Biglarbeigi , Dewar Finlay , Boon Leong Lan , James McLaughlin

Deep Brain Stimulation (DBS) is an established and powerful treatment method in various neurological disorders. It involves chronically delivering electrical pulses to a certain stimulation target in the brain in order to alleviate the…

Systems and Control · Electrical Eng. & Systems 2023-10-03 Anna Franziska Frigge , Alexander Medvedev , Elena Jiltsova , Dag Nyholm

Epilepsy is one of the most common neurological disorders, often requiring surgical intervention when medication fails to control seizures. For effective surgical outcomes, precise localisation of the epileptogenic focus - often…

Machine Learning · Computer Science 2024-08-28 Jamie Norris , Aswin Chari , Dorien van Blooijs , Gerald Cooray , Karl Friston , Martin Tisdall , Richard Rosch

Temporal-lobe epilepsy in humans is often associated with widespread, synchronized neuron firing that co-occurs with traveling waves in local field potential. These traveling waves generate stochastic oscillations in a time series of…

Neurons and Cognition · Quantitative Biology 2023-01-18 Francois A. Marshall

Epilepsy is a prevalent neurological disorder characterized by recurrent and unpredictable seizures, necessitating accurate prediction for effective management and patient care. Application of machine learning (ML) on electroencephalogram…

Signal Processing · Electrical Eng. & Systems 2023-08-11 Md. Simul Hasan Talukder , Rejwan Bin Sulaiman

Medically uncontrolled epileptic seizures affect nearly 15 million people worldwide, resulting in enormous economic and psychological burdens. Treatment of medically refractory epilepsy is essential for patients to achieve remission,…

Quantitative Methods · Quantitative Biology 2025-12-25 Yaoyue Wang , Arian Ashourvan , Guilherme Ramos , Paul Bogdan , Emily Pereira

Seizure onset detection in electroencephalography (EEG) signals is a challenging task due to the non-stereotyped seizure activities as well as their stochastic and non-stationary characteristics in nature. Joint spectral-temporal features…

Signal Processing · Electrical Eng. & Systems 2022-02-15 Xucun Yan , Dongping Yang , Zihuai Lin , Branka Vucetic

1.5D PIC, relativistic, fully electromagnetic (EM) simulations are used to model EM wave emission generation in the context of solar type III radio bursts. The model studies generation of EM waves by a super-thermal, hot beam of electrons…

Solar and Stellar Astrophysics · Physics 2011-06-10 D. Tsiklauri

Pulsed excitation of broad spectra requires very high field strengths if monochromatic pulses are used. If the corresponding high power is not available or not desirable, the pulses can be replaced by suitable low-power pulses that…

Approximately, 50 million people in the world are affected by epilepsy. For patients, the anti-epileptic drugs are not always useful and these drugs may have undesired side effects on a patient's health. If the seizure is predicted the…

Machine Learning · Computer Science 2019-12-16 Hazrat Ali , Feroz Karim , Junaid Javed Qureshi , Adnan Omer Abuassba , Mohammad Farhad Bulbul

Noninvasive brain stimulation can activate neurons in the brain but requires power electronics with exceptionally high power in the mega-volt-ampere and high frequencies in the kilohertz range. Whereas oscillator circuits offered only one…

Medical Physics · Physics 2025-03-11 Jinshui Zhang , Angel Peterchev , Stefan Goetz

The coherent transport of time-resolved ultrafast excitations in nanoelectronic interferometers is expected to exhibit an interesting interplay between the interferences and the time-dependent drive. However, the typical frequencies…

Mesoscale and Nanoscale Physics · Physics 2025-06-06 Thomas Kloss , Xavier Waintal

Patients with epilepsy can manifest short, sub-clinical epileptic "bursts" in addition to full-blown clinical seizures. We believe the relationship between these two classes of events---something not previously studied…

Machine Learning · Statistics 2014-07-29 Drausin F. Wulsin , Emily B. Fox , Brian Litt

Pulse compression is often practiced in ultrasound Non Destructive Testing (NDT) systems using chirps. However, chirps are inadequate for setups where multiple probes need to operate concurrently in Multiple Input Multiple Output (MIMO)…

Epilepsy which is characterized by seizures is studied using EEG signals by recording the electrical activity of the brain. Different types of communication between different parts of the brain are characterized by many state of the art…

Machine Learning · Computer Science 2020-09-29 Mohammad Mansour , Fouad Khnaisser , Hmayag Partamian

Focused transmits are the most commonly used transmit strategy for echocardiograms, but suffer from relatively low frame rates, and in 3D, even lower volume rates. Fast imaging based on unfocused transmits has disadvantages such as motion…

Signal Processing · Electrical Eng. & Systems 2026-05-14 Wessel L. van Nierop , Oisín Nolan , Tristan S. W. Stevens , Ruud J. G. van Sloun

Objective: Forecasting epileptic seizures can reduce uncertainty for patients and allow preventative actions. While many models can predict the occurrence of seizures from features of the EEG, few models incorporate changes in features over…

Neurons and Cognition · Quantitative Biology 2023-09-19 Daniel E. Payne , Jordan D. Chambers , Anthony Burkitt , Mark J. Cook , Levin Kuhlman , Dean R. Freestone , David B. Grayden

Image-guided Interventions (IGT) have shown a huge potential to improve medical procedures or even allow for new treatment options. Most ultrasound(US)-based IGT systems use electromagnetic (EM) tracking for localizing US probes and…

A methodology for understanding and de- tecting nonconvulsive seizures in individuals with sub- arachnoid hemorrhage is introduced. Specifically, begin- ning with an EEG signal, the power spectrum is esti- mated yielding a multivariate time…

Neurons and Cognition · Quantitative Biology 2013-06-03 D J Albers , J Claassen , M J Schmidt , G Hripcsak
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