Javascript must be enabled to continue!
Duration of epileptic seizure types: A data‐driven approach
View through CrossRef
AbstractObjectiveTo determine the duration of epileptic seizure types in patients who did not undergo withdrawal of antiseizure medication.MethodsFrom a large, structured database of 11 919 consecutive, routine video‐electroencephalograpy (EEG) recordings, labeled using the SCORE (Standardized Computer‐Based Organized Reporting of EEG) system, we extracted and analyzed 2742 seizures. For each seizure type we determined median duration and range after removal of outliers (2.5–97.5 percentile). We used surface electromyography (EMG) for accurate measurement of short motor seizures.ResultsMyoclonic seizures last <150 ms, epileptic spasms 0.4–2 s, tonic seizures 1.5–36 s, atonic seizures 0.1–12,5 s, when measured using surface EMG. Generalized clonic seizures last 1–24 s. Typical absence seizures are rarely longer than 30 s (2.75–26.5 s) and atypical absences last 2–100 s. In our patients, the duration of focal aware (median: 27 s; 1.25–166 s) and impaired awareness seizures (median: 42.5 s; 9.5–271 s) was shorter than reported previously in patients undergoing withdrawal of antiseizure medication. All focal seizures terminated within 10 min. Median duration of generalized tonic–clonic seizures was 79.5 s (57–102 s) and of focal‐to‐bilateral tonic–clonic seizures was 103.5 (77.5–237 s). All tonic–clonic seizures terminated within 5 min.SignificanceThis comprehensive list of seizure durations provides important information for characterizing seizures and diagnosing patients with epilepsy. The upper limits of seizure durations are helpful in early recognition of imminent status epilepticus.
Title: Duration of epileptic seizure types: A data‐driven approach
Description:
AbstractObjectiveTo determine the duration of epileptic seizure types in patients who did not undergo withdrawal of antiseizure medication.
MethodsFrom a large, structured database of 11 919 consecutive, routine video‐electroencephalograpy (EEG) recordings, labeled using the SCORE (Standardized Computer‐Based Organized Reporting of EEG) system, we extracted and analyzed 2742 seizures.
For each seizure type we determined median duration and range after removal of outliers (2.
5–97.
5 percentile).
We used surface electromyography (EMG) for accurate measurement of short motor seizures.
ResultsMyoclonic seizures last <150 ms, epileptic spasms 0.
4–2 s, tonic seizures 1.
5–36 s, atonic seizures 0.
1–12,5 s, when measured using surface EMG.
Generalized clonic seizures last 1–24 s.
Typical absence seizures are rarely longer than 30 s (2.
75–26.
5 s) and atypical absences last 2–100 s.
In our patients, the duration of focal aware (median: 27 s; 1.
25–166 s) and impaired awareness seizures (median: 42.
5 s; 9.
5–271 s) was shorter than reported previously in patients undergoing withdrawal of antiseizure medication.
All focal seizures terminated within 10 min.
Median duration of generalized tonic–clonic seizures was 79.
5 s (57–102 s) and of focal‐to‐bilateral tonic–clonic seizures was 103.
5 (77.
5–237 s).
All tonic–clonic seizures terminated within 5 min.
SignificanceThis comprehensive list of seizure durations provides important information for characterizing seizures and diagnosing patients with epilepsy.
The upper limits of seizure durations are helpful in early recognition of imminent status epilepticus.
Related Results
Hydatid Disease of The Brain Parenchyma: A Systematic Review
Hydatid Disease of The Brain Parenchyma: A Systematic Review
Abstarct
Introduction
Isolated brain hydatid disease (BHD) is an extremely rare form of echinococcosis. A prompt and timely diagnosis is a crucial step in disease management. This ...
Diagnostic role of serum prolactin level in different kinds of seizure and seizure-like episode in children: A hospital-based study
Diagnostic role of serum prolactin level in different kinds of seizure and seizure-like episode in children: A hospital-based study
Background: Serum prolactin level has been previously used in distinguishing epileptic seizure from non-epileptic seizure, as prolactin level usually rises following an epileptic s...
A comparative study to investigate the level of cognitive impairment among epileptic and psychogenic non-epileptic patients
A comparative study to investigate the level of cognitive impairment among epileptic and psychogenic non-epileptic patients
Abstract
Objective: To compare cognitive impairment between patients having epileptic seizures and those having psychogenic non-epileptic seizures.
Methods: The cross-s...
Automated Deep Neural Network Approach for Detection of Epileptic Seizures
Automated Deep Neural Network Approach for Detection of Epileptic Seizures
In this thesis, I focus on exploiting electroencephalography (EEG) signals for early seizure diagnosis in patients. This process is based on a powerful deep learning algorithm for ...
Emergency Rapid Response to Epileptic Seizures - A Novel IOT Framework for Smart Cities
Emergency Rapid Response to Epileptic Seizures - A Novel IOT Framework for Smart Cities
Epilepsy is a common neurological disorder that results in seizures in patients of all ages. The frequency of seizure episodes can be controlled by prescribing anti-seizure drugs. ...
A novel wearable device for automated real-time detection of epileptic seizures
A novel wearable device for automated real-time detection of epileptic seizures
Abstract
Background
Epilepsy is a neurological disorder that has a variety of origins. It is caused by hyperexcitability and an imbalance between ex...
Occipital Lobe Epilepsy: Clinical Characteristics, Surgical Outcome, and Role of Diagnostic Modalities
Occipital Lobe Epilepsy: Clinical Characteristics, Surgical Outcome, and Role of Diagnostic Modalities
Summary: Purpose: To assess the role of various diagnostic modalities, to identify surgical prognostic factors and concordances with presurgical evaluations, and to characterize ...
EPILEPTIC SEIZURE PREDICTION USING WAVELET TRANSFORM, FRACTAL DIMENSION, SUPPORT VECTOR MACHINE, AND EEG SIGNALS
EPILEPTIC SEIZURE PREDICTION USING WAVELET TRANSFORM, FRACTAL DIMENSION, SUPPORT VECTOR MACHINE, AND EEG SIGNALS
Epilepsy, a neurological disorder, affects millions of persons worldwide. It is distinguished by causing recurrent seizures in patients, which can conduct to severe health problems...


