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Related Concept Videos

Seizures: Classification01:13

Seizures: Classification

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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.
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Epilepsy and Seizures: Overview01:24

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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.
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One of the common DNA damages is the chemical alteration of single bases by alkylation, oxidation, or deamination. The altered bases cause mispairing and strand breakage during replication. This type of damage causes minimal change to the DNA double helix structure and can be repaired by the base excision repair (BER) pathways. BER corrects damaged DNA sequences by removing the damaged base and restoring the original base sequence using the complementary strand as a template.
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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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Lewis Acids and Bases02:33

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In 1923, G. N. Lewis proposed a generalized definition of acid-base behavior in which acids and bases are identified by their ability to accept or to donate a pair of electrons and form a coordinate covalent bond.
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Weak Base Solutions03:21

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Some compounds produce hydroxide ions when dissolved by chemically reacting with water molecules. In all cases, these compounds react only partially and so are classified as weak bases. These types of compounds are also abundant in nature and important commodities in various technologies. For example, global production of the weak base ammonia is typically well over 100 metric tons annually, being widely used as an agricultural fertilizer, a raw material for chemical synthesis of other...
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Related Experiment Video

Updated: Jan 30, 2026

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
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Non-electroencephalography-based seizure detection.

Sándor Beniczky1,2, Jesper Jeppesen1

  • 1Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus.

Current Opinion in Neurology
|January 22, 2019
PubMed
Summary
This summary is machine-generated.

Automated seizure detection using wearable devices is advancing. While generalized tonic-clonic seizures (GTCS) are reliably detected, other seizure types require further research for accurate, objective documentation.

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Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Digital Health

Background:

  • Automated seizure detection via mobile or wearable devices is crucial for objective documentation and reducing seizure-related morbidity and mortality.
  • Technological advancements have spurred numerous studies on non-electroencephalography (EEG)-based seizure detection, yet study quality and reporting vary significantly.
  • A clear overview of the current evidence for various seizure detection devices is needed.

Purpose of the Study:

  • To provide a comprehensive review of the current state of non-EEG-based seizure detection technologies.
  • To assess the level of evidence supporting the efficacy of different wearable devices for seizure detection.
  • To identify gaps in research regarding the detection of diverse seizure types.

Main Methods:

  • Systematic review of phase-2 or higher studies focusing on non-EEG-based seizure detection.
  • Analysis of sensitivity and false alarm rates (FAR) for different seizure types.
  • Evaluation of the evidence supporting commercially available devices.

Main Results:

  • Non-EEG devices demonstrated high sensitivity (≥90%) and low FAR (≤0.2/day) for generalized tonic-clonic seizures (GTCS).
  • Limited evidence exists for detecting motor seizures other than GTCS, primarily from subgroup analyses.
  • Non-EEG detection of non-motor seizures showed low sensitivity (19-74%) and very high FAR (50-216/day).

Conclusions:

  • Reliable detection of GTCS is achievable with current validated non-EEG devices.
  • Further research is essential to improve the detection accuracy for seizure types beyond GTCS.
  • Development of non-EEG devices for non-motor seizure detection requires significant advancement.