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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2022

A Method for Detecting Epileptic Seizure in Pediatrics Patients Based on EEG Signals

The record

Type
Publication
Date
1 January 2022
Level
National
Journal
Lecture Notes in Networks and Systems
Volume
376
Pages
107-117
Published
1 January 2022
DOI
10.1007/978-981-16-8826-3_10
Scopus ID
85127660408
ISSN
23673370
Authors
3
Open access
No
Citations
0
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    Develops automated EEG signal processing method for detecting epileptic seizures in children with 98.6% accuracy, enabling early clinical diagnosis and improved quality of life for pediatric patients.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-1.2 Health and well-being

    Sub-themePrimaryHigh confidenceJudged

    Direct application to pediatric neurological health condition management.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “A Method for Detecting Epileptic Seizure in Pediatrics Patients Based on EEG Signals”. Kortex.

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