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Related Experiment Video

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EEG Driven Autonomous Injection System For An Epileptic Neuroimaging Application.

Ronak Doshi, Arvind Ram Sankar, Krishna Nagaraj

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    An automated injection system predicts seizures using electroencephalogram (EEG) signals, enabling precise radioactive tracer delivery for accurate epilepsy focus localization via ictal single-photon emission computed tomography (SPECT) imaging.

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    Area of Science:

    • Medical Imaging
    • Neuroscience
    • Biomedical Engineering

    Background:

    • Medically refractory epilepsy causes debilitating seizures.
    • Ictal single-photon emission computed tomography (SPECT) is crucial for localizing seizure foci.
    • Manual tracer injection for SPECT is challenging due to unpredictable seizure onset.

    Purpose of the Study:

    • To develop a fully autonomous injection system for radioactive tracers in epilepsy.
    • To improve the accuracy and quality of ictal SPECT scans.
    • To aid in the pre-surgical evaluation of epilepsy patients.

    Main Methods:

    • Utilized electroencephalogram (EEG) signals for preictal seizure prediction.
    • Developed a seizure prediction model achieving 94% accuracy on public datasets.
    • Deployed the model on an edge system controlling an autonomous syringe-based injection system.
    • Characterized the injection system for accuracy and speed.

    Main Results:

    • The autonomous system accurately predicts seizure events based on EEG signals.
    • The injection system demonstrated minimal volumetric error and low injection time.
    • Achieved 94% accuracy in seizure prediction from EEG data.

    Conclusions:

    • The developed autonomous injection system enhances accuracy in ictal SPECT imaging for epilepsy.
    • This technology offers a significant advancement for pre-surgical evaluation, especially in MRI-negative cases.
    • Automated tracer delivery based on EEG prediction improves seizure focus localization and patient management.