O16: Long Term Video EEG (AC/DC) Monitoring (original) (raw)
Related papers
Outcome of Long-term Video-EEG Monitoring
Journal of the Turkish Epilepsi Society, 2017
Objectives: Long-term video-electroencephalogram (EEG) monitoring (VEM) is a diagnostic system used for many purposes, including the precise categorization of epileptic seizures, excluding non-epileptic seizures, and finding the seizure onset zone. The aim of this study was to demonstrate the importance of the VEM in the diagnosis and differential diagnosis of epilepsy. Methods: Data of patients who were hospitalized in the video-EEG unit of Dicle University Neurology Department between 2012 and 2016 were retrospectively evaluated. The records of 245 patients that were of at least 24-hours duration were included in the study. Results: The mean duration of recording was 3.3±1.3 days. Clinically observed seizures were detected in 37.5% (n=92) of the patients. Of those, 21.2% (n=52) were evaluated as epileptic seizures and 16.3% (n=40) were defined as non-epileptic seizures. The proportion of psychogenic non-epileptic seizures was 14% (n=36). The mean length of the recording of the first seizure attack was 1.6 days. Interictal EEG abnormalities were found in 13.4% (n=33) of the patients. The mean duration of the disorder was 7.3 years. Conclusion: Medical history, physical examination, and routine EEG procedures can be misleading factors in the diagnosis of epilepsy. VEM is a crucial technique to differentiate diagnoses in patients with treatment-resistant epilepsy and to precisely diagnose the seizure type and the epileptic syndrome.
Long-term EEG-video-audio monitoring: computer detection of focal EEG seizure patterns
Electroencephalography and Clinical Neurophysiology, 1992
Twelve individuals with medically refractory partial seizures had undergone EEG-video-audio (EVA) monitoring over 1-15 (mean 10.5) days. We selectively reexamined available 15-channel EEGs (video-cassettes) totaling 461 h and containing 253 EEG focal seizures. Computer analysis (CA) of these bipolar records was performed using a mimetic method of seizure detection at 6 successive computer settings. We determined the computer parameters at which this method correctly detected a reasonably large percentage of seizures (81.42%) while generating an acceptable rate of false positive results (5.38/h). These parameters were adopted as the default setting for identifying focal EEG seizure patterns in all subsequent long-term bipolar scalp and sphenoidal recordings. Factors hindering or facilitating automatic seizure identification are discussed. It is concluded that on-line computer detection of focal EEG seizure patterns by this method offers a satisfactory alternative to and represents a distinct improvement over the extremely time consuming and fatiguing off-line fast visual review (FVR). Combining CA with seizure signaling (SS) by the patients and other observers increased the correct detections to 85.38~. CA is best used in conjunction with SS.
Video-EEG long term monitoring as a new service at Mater Dei Hospital
2016
Malta Medical Journal Volume 28 Issue 02 2016 Abstract Introduction: Video-EEG long-term monitoring (LTM) was introduced into Mater Dei Hospital (MDH) in May 2012. The audit aims to evaluate LTM in terms of diagnostic outcomes and impact on patient management. Methods: Analysis was carried out after retrospective review of 30 inpatients who underwent LTM at MDH between May 2012 and May 2014. 31 LTM sessions were performed. Referrals were made by 3 consultant neurologists. LTM and medical records were compared to evaluate whether LTM determined a change in diagnosis and how this affected management outcomes. Results: Patient ages ranged from 3 months to 73 years (35.5% paediatric cases) (16 male , 15 female studies). The most common indication was for uncontrolled seizures (54.8%), followed by suspected non-epileptic seizures (NES) (29%). The average hospital stay was 2 days for paediatric patients and 5 for adult cases. Major monitoring interruptions were recorded in 5 paediatric an...
Ellen R. Grass Guest Lecture: Long-Term Video/EEG Monitoring and Behavior
American Journal of EEG Technology, 1994
Involvement of the limbic system, the seat of emotions in the brain, can lead to psychiatric accompaniments to epilepsy. Patients with epilepsy may also have depression, psychoses, forced normalization, and personality disorders. Long-term video/ EEG has allowed improved differentiation between epileptic syndromes and nonepileptic disorders that may mimic epilepsy clinically. Pseudoseizures are important nonepileptic events that need to be distinguished from epileptic seizures. Other conditions that may accompany epilepsy or be confused with epileptic seizures include migraine and the MELAS syndrome; sleep disorders, such as cataplexy, sleep attacks, and REM sleep behavior disorder; the childhood disorders ofbreathholding spells, benign paroxismal vertigo of childhood, and Rett syndrome; and movement disorders such as shuddering spells and hyperekplexia.
Seminars in pediatric neurology, 1999
Monitoring of central nervous system function in the intensive care unit is becoming more widely accepted as an integral part of critical care. The history of developments in electroencephalogram (EEG) technology is reviewed to better appreciate the rate of technological developments and their application to clinical practice. Basic concepts of digital EEG are reviewed. Principals of intensive care unit monitoring as they apply to clinical neurophysiological techniques are examined to better understand the goals for an "ideal central nervous system monitor." Some current advances and directions for future development in computerized EEG monitoring are discussed.
Seizure, 2009
Inpatient long-term video-EEG monitoring (LTM) is an important diagnostic tool for patients with seizures and other paroxysmal behavioural events. The main referral categories are diagnosis (epileptic versus non-epileptic disorder), seizure classification and presurgical evaluation. The diagnostic usefulness of the LTM varies considerably (19-75%) depending on how this was defined and on the selection of the patients. The purpose of this study was to assess the diagnostic usefulness and the necessary duration of the LTM for the referral groups, in patients extensively investigated before the monitoring. An LTM was considered diagnostically useful when it provided previously not reported, clinically relevant information on the paroxysmal event. For the presurgical group, reaching a decision concerning surgery was an additional requirement. We reviewed data from 234 consecutive LTM-sessions (221 patients) over a 2-year period. In 44% of the cases the LTM was diagnostically useful. The...
Retrospective Analysis of Patients Undergoing Video-EEG Monitoring
2023
INTRODUCTION Video-electroencephalography (EEG) monitoring (VEM) is an indispensable part of daily epilepsy practice, as it allows for real-time monitoring and recording of electrical activity in the brain. VEM can be used to distinguish between epilepsy and other paroxysmal events, such as psychogenic non-epileptic seizures (PNES), and to define the seizure type and determine the seizure onset zone before epilepsy surgery. 1,2 Furthermore, VEM can provide long-term investigation of continuous spike-wave discharges in Landau-Kleffner syndrome and electrical status epilepticus during sleep. 1 Continuous VEM can also show the duration and frequency of ictal activity, making it a useful tool for the treatment follow-up. In some cases, VEM may even reveal different seizure types than those determined by anamnesis and interictal EEG, potentially changing diagnosis. 3 In this study, we investigate the contribution of VEM in the diagnosis and treatment of patients with epilepsy, along with its ability to change the primary diagnosis before VEM and the treatment approach. METHODS Patient Population We retrospectively investigated the patients who were monitorized in the