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Enhancing Neurological Diagnostics with an AI-Powered EEG Analysis Platform

Enhancing Neurological Diagnostics with an AI-Powered EEG Analysis Platform

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    Synopsis

    Technology Stack

    HL7/FHIR APIs

    React.js

    Python + Fast API

    Cloud AI

    Deep Learning Framework

    Client Overview

    The client is a leading U.S.-based neurological diagnostics provider specializing in advanced neurodiagnostic services and solutions.

    Challenge

    The client sought to enhance the efficiency and accuracy of EEG interpretation, as the manual process was time-intensive and occasionally inconsistent. They required an AI-driven solution capable of automating seizure detection and differentiating artefacts from genuine neurological events.

    Solution

    Q3 Technologies designed and implemented an AI-driven EEG analysis platform, enabling advanced neurological diagnostics and analysis. Key features of the solution are:

    • Abnormality Detection: AI-based classification of EEG signals into normal and abnormal patterns to aid in early diagnosis.
    • Live EEG Integration: Real-time analysis through direct integration with EEG equipment.
    • Frequency & Pattern Analysis: Detects key frequency bands (e.g., 9–10 Hz PPR) for identifying epilepsy and seizures.
    • Artifact Reduction: Filters non-neural noise (e.g., motion, electrical interference) for clearer signal interpretation.
    • Basic UI Development: Simple interface to visualize raw and AI-processed EEG data.
    • Scalable Architecture: Designed for future mental health applications using live EEG feed.

    Outcome

    Accelerated Diagnostics
    Improved Accuracy​
    Reduced Clinical Workload
    Better Patient Outcomes​

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