View clinical trials related to Seizures.
Filter by:This is a multicenter home-based medical device intervention study, with prospective validation of the wearable seizure detection device (Nightwatch) and retrospective validation of remote sensors (video and audio detection) in children. The investigators will also perform a feasibility and utility analysis of Nightwatch.
The Electro-Convulsion-Therapy (ECT) is a well accepted treatment option in severe depression. The quality of ECT is evaluated basing on minimal seizure duration (>15sec), the sympathic response and the postictal EEG-suppression. For the treatment general anaesthesia is needed. On the other hand anaesthesia strongly influences the quality of the seizure. The goal is to find an anaesthesia-depth that is needed for the well-being of the patient and allows a good ECT. In daily routine the dose of anesthetic agents and the assesment of anesthesia-depth is based on the subjective estimation of the anesthetist and also on ealier interventions. The aim of the study is to assess any correlation between measured anesthesia-depth using the Narcotrend TM and the Quality of the ECT.
During a three-month period, the study subjects will be using an electronic diary app that they can download and install on their smartphones to register the occurrence of seizures and also to register the potential alerting behaviour of their dogs. This information will increase the knowledge of the accuracy of these alerts.
This protocol serves as a data collection tool for individuals with variants (missense, nonsense, frameshifts) in the IRF2BPL gene (MIM 611720), which causes Neurodevelopmental Regression, Seizures, Autism and Developmental Delay (NEDAMSS, MIM 618088) and may be involved in other neurodevelopmental presentations. This information will be analyzed to develop a better understanding of the findings and progression of symptoms in individuals with variants in the IRF2BPL gene.
This retrospective observational cohort study is to assess and analyze clinical, electroencephalographic, laboratory, comorbidity, and treatment characteristics of Intensive care unit (ICU)-patients with epileptic seizures and to subsequently compare their characteristics with ICU-patients with status epilepticus (SE).
The objective of this study is to determine if paediatric intensive care nurses and physicians can identify non-convulsive seizures in critically ill children using quantitative electroencephalography (EEG), in real time at the bedside. Quantitative EEG is a computer software tool which summarizes large volumes of brain wave electrical activity, called EEG into simple graphs and patterns. This has helped to shorten the EEG reading time.The study will also describe the neurological outcome of children monitored this way and assess if it's possible to use this approach. The investigators hypothesis is that paediatric intensive care nurses and physicians with focused training should be the first to identify non-convulsive seizures at the bedside using quantitative EEG, with reasonable accuracy and reliability. They should be able to confirm their findings with a neurologist to treat seizures quickly without over treatment. Due to the small numbers in this pilot study, the investigators are unlikely to be able to draw definitive conclusions on the clinical effects of this approach on the short- or long-term outcomes. This proof-of-concept study should, enable the investigators to assess if it's possible to use this method for a future multi-centre controlled study.
The purpose of this study is to assess the safety of perampanel in the treatment of partial onset seizures in participants of age 12 years and older with epilepsy.
The objective of this study is to compare the effectiveness of a personalized patient education program to the current hospital education and evaluate its impact using patient satisfaction scores. The investigators hypothesize that a personalized patient education intervention will increase patient's understanding of their diagnosis and satisfaction with the care as reflected in the survey results.
An algorithm has been developed for simplified classification of epileptic seizures, in order to optimize choice of antiepileptic drugs. The objective of this study was to clinically validate the algorithm.
The objectives of this study were to assess the tolerability and safety of E2007 in patients with refractory partial or generalised seizures and to assess the pharmacokinetics of E2007 in epileptic patients receiving at least one concomitant anti-epileptic drug.