A Wearable Brain Machine Interface Architecture for Regulation of Energy in Hypercortisolism

Hamid Fekri Azgomi, Rose T. Faghih

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Hypercortisolism is associated with tiredness and fatigue during the day and disturbed sleep at night. Our goal is to employ a wearable brain machine interface architecture to regulate one's energy in hypercortisolism. First, we present a state-space model to infer a hidden cognitive energy-related state from one's Cortisol secretion patterns. Particularly, we consider circadian upper and lower bound envelope curves on Cortisol levels, and timings of hypothalamic pulsatile activity underlying Cortisol secretion as observations. We then use Bayesian filtering to estimate the hidden cognitive energy-related state. Finally, we close the loop using a knowledge-based control approach. In a simulation study based on experimental data, we illustrate the feasibility of designing a wearable brain machine interface architecture for energy regulation in hypercortisolism. In this architecture, we infer one's cognitive energy-related state seamlessly rather than monitoring the brain activity directly and close the loop using fuzzy control. This simulation study is a first step towards the ultimate goal of managing hypercortisolism in real-world situations.

    Original languageEnglish (US)
    Title of host publicationConference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
    EditorsMichael B. Matthews
    PublisherIEEE Computer Society
    Pages254-258
    Number of pages5
    ISBN (Electronic)9781728143002
    DOIs
    StatePublished - Nov 2019
    Event53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States
    Duration: Nov 3 2019Nov 6 2019

    Publication series

    NameConference Record - Asilomar Conference on Signals, Systems and Computers
    Volume2019-November
    ISSN (Print)1058-6393

    Conference

    Conference53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
    Country/TerritoryUnited States
    CityPacific Grove
    Period11/3/1911/6/19

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Networks and Communications

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