A5059805289- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Epilepsy research and treatment
- Advanced Vision and Imaging
- Neonatal and fetal brain pathology
- Respiratory Support and Mechanisms
- Airway Management and Intubation Techniques
- Thermal Regulation in Medicine
- Fractal and DNA sequence analysis
- Orthodontics and Dentofacial Orthopedics
- Medical Image Segmentation Techniques
- Nonlinear Dynamics and Pattern Formation
- Construction Project Management and Performance
- Multi-Criteria Decision Making
- Voice and Speech Disorders
- Neural Networks and Applications
- Congenital Diaphragmatic Hernia Studies
- Optical Imaging and Spectroscopy Techniques
- Dental materials and restorations
- Tracheal and airway disorders
- Advanced Computing and Algorithms
- Neuroscience and Neuropharmacology Research
- S100 Proteins and Annexins
- ECG Monitoring and Analysis
Sofia University "St. Kliment Ohridski"
2024
Stichting Epilepsie Instellingen Nederland
2011-2020
Boston Medical Center
2020
University of Exeter
2014-2017
Wellcome Trust
2017
Wrexham Maelor Hospital
2011
London Chest Hospital
1989
Recent clinical work has implicated network structure as critically important in the initiation of seizures people with idiopathic generalized epilepsies. In line this idea, functional networks derived from electroencephalogram (EEG) at rest have been shown to be significantly different epilepsy compared controls. particular, mean node degree cohort was found statistically higher than those However, mechanisms by which these differences can support recurrent transitions into remain unclear....
Graph theory has evolved into a useful tool for studying complex brain networks inferred from variety of measures neural activity, including fMRI, DTI, MEG and EEG. In the study neurological disorders, recent work discovered differences in structure graphs patient control cohorts. However, most these studies pursue purely observational approach; identifying correlations between properties cohort which they describe, without consideration underlying mechanisms. To move beyond this...
Epilepsy is a neurological disorder characterized by sudden, often unexpected transitions from normal to pathological behavioral states called epileptic seizures. Some of these seizures are accompanied uncontrolled, rhythmic movements body parts when seizure activity propagates brain areas responsible for the initiation and control movement. The dynamics is, in general, unknown. As consequence, individuals have be monitored long periods order obtain sufficient data adequate diagnosis plan...
Automated seizure detection and alarming could improve quality of life potentially prevent sudden, unexpected death in patients with severe epilepsy. As currently available systems focus on tonic-clonic seizures, we want to detect a broader range types, including tonic, hypermotor, clusters seizures.In this multicenter, prospective cohort study, the nonelectroencephalographic (non-EEG) signals heart rate accelerometry were measured during night undergoing diagnostic video-EEG examination....
Abstract Seizure detection devices can improve epilepsy care, but wearables are not always tolerated. We previously demonstrated good performance of a real‐time video‐based algorithm for nocturnal convulsive seizures in adults with learning disabilities. The calculates the relative frequency content based on group velocity reconstruction from video‐sequence optical flow. aim to validate video motor pediatric population. retrospectively analyzed database including 1661 full recorded nights 22...
In our previous studies, we showed that the both realistic and analytical computational models of neural dynamics can display multiple sustained states (attractors) for same values model parameters. Some these represent normal activity while other, oscillatory nature, may epileptic types activity. We also a simplified, mimic this type behavior be used instead large scale simulations. The primary objective present work is to further explore phenomenon stable states, co-existing in operational...
High frequency oscillations (HFO) in stereo electroencephalographic (SEEG) signals have been recently the focus of attention as biomarkers that can potential predictive power for spatial location and possibly timing onset epileptic seizures. In this work we present a case study where compare two quantitative paradigms automated detection biomarkers, one based on spontaneous SEEG recordings HFOs other using activity induced by direct electrical stimulation (relative Phase Clustering Index...
Epilepsy is a debilitating neurological condition that affects approximately 1% of the population. In most cases, it treatable by anti-epileptic drugs (AED) but still about 30% patients do not respond sufficiently to medication and continue suffering from seizures. Even for those who AED treatment, determining optimal dose can require lengthy periods trial, error adjustments. To address these challenges, main objective present study find biomarker quantification level responsiveness people...
In the present work problem of reconstructing locations events in an arbitrary scene, or "world" (for example 3D scene real applications) from over-complete set measurements, typically lower dimension each (such as multiple 2D imag
Rationale. The goal of this study is to evaluate the electroencephalographic (EEG) events, prior clonic phases epileptic motor seizures. Analyzing video sequences we were able detect these special seizures, by image features. This can be used for an early detection and alerting events. In analyzed 42 Based on collected data compare quantitative results from seizures with features computed EEG scalp recordings about 3 minutes seizure. We analyze non-stationary frequency spectrum match it...
Rationale. Object tracking has significance in many applications ranging from control of unmanned vehicles to autonomous monitoring specific situations and events, especially when providing safety for patients with certain adverse conditions such as epileptic seizures. Conventional methods face challenges, the need dedicated attached devices or tags, influence by high image noise, complex object movements, intensive computational requirements. We have developed earlier computationally...
Rationale. Visual tracking of patients with specific adverse conditions such as epileptic seizures is an important task related to the prevention unwanted medical situations and events. Previously, we have developed algorithms for contactless patient based on optical flow analysis. In this work, address some challenges faced by single-camera system expand its functionalities employing simultaneous input from multiple cameras. Methods. We propose a new approach fusing camera sensors. It uses...
Image quality degradation is one of the main problems in Digital Holography. A novel method for noise reduction based on Hilbert-Huang transform introduced that reduces normalized contrast and partially removes DC-term. It successfully applied hologram plane requires a single to function. The causes no spatial resolution. Moreover, it can be combined with existing noise-filtering methods improve image even further.
Motivation. The visual tracking of patients with specific adverse conditions such as epileptic seizures is an important task related to the prevention unwanted medical situations and events. Previously, we have developed algorithms for contactless patient based on optical flow analysis. In this work, address some challenges faced by single-camera system expand its functionalities employing simultaneous input from multiple cameras. Methods. We propose a new approach fusing camera sensors. It...
Rationale: Orthodontic archwires undergo chemical and structural changes in the complex intraoral environment. The present work aims to investigate safe duration for use (related nickel release hypothesis) of different types nickel-containing wires. By analyzing how content (NC) varies over time, we aim provide practical recommendations optimal said archwires. Materials Methods: Our analysis focuses on following archwires: stainless steel, Ni-Ti superelastic, heat-activated NiTi CuNiTi,...
The paper suggests an analysis of data concerning 306 educational project proposals submitted for European funding in 2013. Several fundamental questions regarding the role evaluation achieving ideas and goals when financing projects education area are posed answers have been provided. hypothesis that actual assessment confirms objectives EU is discussed against alternative this changes focus funding. Another natural question finds answer present work “How to plan preparation proposal with a...
Rationale: The main goal of the present study is to evaluate optimal duration safe intraoral use (based on Nickel Release hypothesis) for austenitic NiTi, heat-activated CuNiTi types orthodontic wires, analysing dynamics Content (NC) as a function usage duration. Materials and Methods: analysed dataset contains several wires each type, divided into four states: S0 as-received-autoclaved, S1 as-received, S2/S3 retrieved after (less than six weeks/more eight weeks) use. NC assessed via...