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Related Concept Videos

Seizures: Classification01:13

Seizures: Classification

577
Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
577
Epilepsy and Seizures: Overview01:24

Epilepsy and Seizures: Overview

271
Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
271

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Related Experiment Video

Updated: Sep 5, 2025

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems
06:28

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Published on: September 27, 2024

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[Wearable devices for automated seizure detection].

Sándor Beniczky1,2,3, Jesper Jeppesen2,3, Troesl W Kjær4,5

  • 1Neurofysiologiklinik, Epilepsihospitalet Filadelfia.

Ugeskrift for Laeger
|July 5, 2022
PubMed
Summary

Wearable devices can automatically detect generalized tonic-clonic seizures and focal to bilateral tonic-clonic seizures. Clinically validated devices are recommended, especially for unsupervised patients, to enable rapid intervention.

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Area of Science:

  • Neurology
  • Clinical Neurophysiology
  • Medical Devices

Background:

  • The International League Against Epilepsy and International Federation of Clinical Neurophysiology established guidelines for automated seizure detection.
  • Wearable devices offer potential for real-time seizure monitoring and intervention.

Purpose of the Study:

  • To review the evidence supporting the clinical practice guideline on automated seizure detection using wearable devices.
  • To identify areas for future research in this field.

Main Methods:

  • Systematic review of published literature.
  • Analysis of studies evaluating wearable devices for seizure detection.

Main Results:

  • Evidence supports the use of validated devices for detecting generalized tonic-clonic seizures and focal to bilateral tonic-clonic seizures.
  • Automated detection, particularly in unsupervised settings, can facilitate timely intervention.

Conclusions:

  • The guideline's recommendations are based on available evidence.
  • Further research is needed to refine and expand the use of wearable seizure detection technology.