Template:Reference

Namespace: Template Name: Reference Purpose: Use this template for standard reference pages on this site. Parameters:

   - reference - reference for the article (e.g., Annegers JF (1997) United States perspective on definitions and classifications. Epilepsia. 1997 Nov;38(11 Suppl):S9-12.)
   - url       - URL for the full article (e.g., https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1528-1157.1997.tb06137.x)
   - abstract  - the article's abstract
   - keywords  - a comma-delimited list of key words (e.g., classification, postmortem, definitions)
   - context   - context of the article
   - comments  - comments about the article

Requires:

   /index.php/MediaWiki:Network-graph.js
   /index.php/MediaWiki:Common.js

{{{reference}}}

[{{{url}}} Link to Article]

Abstract: {{{abstract}}}

Keywords: {{{keywords}}}

Context

{{{context}}} There has been significant expansion of wearable technologies and devices to either directly or indirectly identifying seizure activity. Current devices typically monitor a number of parameters including electroencephalographic (EEG), cardiac, and respiratory patterns and can detect movement, changes in skin conductance, and muscle activity. This is a novel study investigating sound detection as an audio-based detection of major seizures- with mean sensitivity of 0.81 (range: 0.33-1.00) and a mean positive predictive value of 0.40 (range: 0.06-1.00), 4 seizures (3%) were missed because of lack of sound and 10 (9%) because of sounds below the system threshold. It’s possible that audio-based detection may be useful in a multimodal device for seizure detection. While Generalized tonic clonic seizures (GTC’s) are reliably identified by most unimodal and multimodal devices, detection of seizures with little or no movement remains a challenge.

Comments

{{{comments}}}

Network Graph

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