The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Epilepsy is a group of disorders characterized by recurrent paroxysmal electrical discharges of the cerebral cortex that result in intermitted disturbances of brain function. The damage induced by seizure is severe, so it is significant to predict the preictal state of the epileptic seizure. The aim of this work is to compare and estimate the different nonlinear analysis methods in predicting of epileptic...
Epilepsy is caused by sudden flurries of electrochemical activity in the brain, which interrupt the 'conversation' among neurons. Consciousness, memory, sense, speech, mood, movement, and motions can all be affected during the one or two minutes that the seizure lasts. Walking, jogging, running and stationary bicycling are particularly safe, but especially "Prayer type yoga exercise" clearly...
An automatic Uni- or Multi-modal Intelligent Seizure Acquisition (UISA/MISA) system is highly applicable for onset detection of epileptic seizures based on motion data. The modalities used are surface electromyography (sEMG), acceleration (ACC) and angular velocity (ANG). The new proposed automatic algorithm on motion data is extracting features as “log-sum” measures of discrete wavelet components...
The discovery of mirror neuron system in the macaque study in the 1990s explored a new way to investigate motor imitation. By using the electrocorticographic (ECoG) with high resolution in both spatial and temporal domains, this paper studies brain function during both observation and execution of a simple finger tapping task. Four epilepsy patients were asked to watch simple finger tapping video...
Brain state dynamics vary at different spatiotemporal scales with behavior, stimulation, and disease, and may be unobserved (latent). Using a state-space model framework and subspace identification, we estimated spatiotemporally localized, latent state changes associated with the application of transcranial magnetic stimulation (TMS), to assess the effect of stimulation on brain state dynamics. State...
Over 50 million people worldwide suffer from epilepsy. Traditional diagnosis of epilepsy relies on tedious visual screening by highly trained clinicians from lengthy EEG recording that contains the presence of seizure (ictal) activities. Nowadays, there are many automatic systems that can recognize seizure-related EEG signals to help the diagnosis. However, it is very costly and inconvenient to obtain...
Many epilepsy patients cannot call for help during a seizure, because they are unconscious or because of the affection of their motor system or speech function. This can lead to injuries, medical complications and at worst death. An alarm system setting off at seizure onset could help to avoid hazards. Today no reliable alarm systems are available. A Multi-modal Intelligent Seizure Acquisition (MISA)...
Epileptic seizures usually consist of stereotyped motor movements in association with characteristic changes in the electroencephalogram (EEG). Accurate recognition and quantification of seizures in patients with epilepsy is essential for diagnosis, selection of treatment and assessing the effects of therapy. In this paper, we present some preliminary results from our on-going research study on using...
This paper presents a sensitive compliance measurement system for determining the stiffness of the adult rat hippocampus. The device has been successfully fabricated which consists of two strain gauges incorporated in the SU-8 based cantilever. The cantilever-sensor has been fully characterized and its strain sensitivity was found to be approximately 2.5. invitro testing on the brain tissue has successfully...
Muscle and eye movement artifacts are very prominent in the ictal EEG of patients suffering from epilepsy, thus making the dipole localization of ictal activity very unreliable. Recently, two techniques (BSS-CCA and pSVD) were developed to remove those artifacts. The purpose of this study is to assess whether the removal of muscle and eye movement artifacts improves the EEG dipole source localization...
Muscle and eye movement artifacts are very prominent in the ictal EEG of patients suffering from epilepsy, thus making the dipole localization of ictal activity very unreliable. Recently, two techniques (BSS-CCA and pSVD) were developed to remove those artifacts. The purpose of this study is to assess whether the removal of muscle and eye movement artifacts improves the EEG dipole source localization...
High-resolution time-frequency analyses of ictal EEG allow for identification and characterization of ictal patterns. These patterns reflect alterations in the brain network synchrony. It is not clear why seizures undergo these dynamical changes and what mechanisms contribute to or cause these changes. In this work we use neural modeling studies to address these issues. We investigate the role of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.