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Related Experiment Video

Updated: Dec 30, 2025

Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates
05:58

Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates

Published on: September 6, 2017

40.3K

Bag of Patterns for Nearest Neighbour Neonatal EEG Recall.

B M Murphy, G B Boylan, G Lightbody

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary
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    An Approximate Nearest Neighbour System For Neonatal EEG Recall.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2018

    This study introduces a system to quickly recall rare neonatal electroencephalogram (EEG) patterns, aiding faster diagnosis. Comparing two methods, it evaluates performance for clinical neurophysiologists.

    Area of Science:

    • Clinical Neurophysiology
    • Biomedical Signal Processing
    • Neonatal Medicine

    Background:

    • Recalling rare neonatal electroencephalogram (EEG) patterns is challenging for clinical neurophysiologists.
    • Timely access to similar past EEG patterns is crucial for accurate diagnosis and treatment intervention in neonates.
    • Current search methods for archived EEGs are often time-consuming, which is critical in neonatal care.

    Purpose of the Study:

    • To present a system designed to assist clinical neurophysiologists in recalling neonatal EEG patterns.
    • To compare the performance of two brute-force approaches for neonatal EEG pattern recall.
    • To evaluate accuracy, speed, and memory requirements of the proposed system.

    Main Methods:

    • Development of a system for neonatal EEG pattern recall.

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    Last Updated: Dec 30, 2025

    Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates
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    Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates

    Published on: September 6, 2017

    40.3K
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  • Implementation and comparison of two brute-force search algorithms.
  • Testing the system on 430 neonatal EEG events across six pattern types.
  • Main Results:

    • The study presents a comparative analysis of two brute-force approaches for EEG pattern recall.
    • Performance metrics including accuracy, speed, and memory usage were evaluated.
    • Results demonstrate the system's capability in assisting with the recall of specific neonatal EEG patterns.

    Conclusions:

    • The developed system shows potential to aid clinical neurophysiologists in rapidly recalling neonatal EEG patterns.
    • Efficient recall of similar patterns can facilitate earlier and more accurate diagnoses in neonates.
    • The findings support the utility of computational approaches in improving diagnostic workflows for rare neurological events.