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Wireless And Portable Daily Soundscape Monitoring System For Auditory Profiling: Diagnostic Tool For Alzheimer's

Danny Viet Lam, Daniel Clarke, Mohammad Tafsir

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
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    Summary

    This study introduces a low-cost, wearable system for monitoring electroencephalography (EEG) and soundscape. This device aims for early Alzheimer's Disease (AD) detection in high-risk individuals.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Signal Processing

    Background:

    • Alzheimer's Disease (AD) diagnosis lacks non-invasive, inexpensive tools for early detection.
    • Current monitoring methods for neurological conditions can be costly and cumbersome.
    • There is a need for portable systems to track physiological and environmental data.

    Purpose of the Study:

    • To develop a low-cost, wearable, and portable monitoring system for electroencephalography (EEG) and soundscape acquisition.
    • To create a system capable of wireless data transmission and cloud storage for remote analysis.
    • To lay the groundwork for a non-invasive diagnostic tool for early-stage Alzheimer's Disease.

    Main Methods:

    • The system integrates an analog front-end with three EEG and auditory channels and a single-board computer.
    • Data is timestamped, encrypted, and stored locally or in the cloud.
    • A graphical user interface (GUI) enables secure remote access and system configuration.
    • System performance was evaluated by measuring the frequency following response (FFR) in EEG signals.

    Main Results:

    • A functional prototype of the wearable monitoring system was developed and tested.
    • The system successfully acquired EEG and auditory signals, with data securely stored and accessible remotely.
    • Preliminary testing demonstrated the system's ability to capture frequency following responses.

    Conclusions:

    • The developed system shows promise as an inexpensive, portable tool for monitoring neurological and auditory data.
    • Future applications may include early, non-invasive detection of Alzheimer's Disease.
    • This technology could provide a new platform for therapeutic interventions and continuous patient monitoring.