• DocumentCode
    1932652
  • Title

    Using the brain´s fight-or-flight response for predicting mental illness on the human space flight program

  • Author

    Losik, L.

  • Author_Institution
    Failure Anal., Capitola, PA, USA
  • fYear
    2013
  • fDate
    2-9 March 2013
  • Firstpage
    1
  • Lastpage
    20
  • Abstract
    A predictive medicine program allows disease and illness including mental illness to be predicted using tools created to identify the presence of accelerated aging (a.k.a. disease) in electrical and mechanical equipment. When illness and disease can be predicted, actions can be taken so that the illness and disease can be prevented and eliminated. A predictive medicine program uses the same tools and practices from a prognostic and health management program to process biological and engineering diagnostic data provided in analog telemetry during prelaunch readiness and space exploration missions. The biological and engineering diagnostic data necessary to predict illness and disease is collected from the pre-launch spaceflight readiness activities and during space flight for the ground crew to perform a prognostic analysis on the results from a diagnostic analysis. The diagnostic, biological data provided in telemetry is converted to prognostic (predictive) data using the predictive algorithms. Predictive algorithms demodulate telemetry behavior. They illustrate the presence of accelerated aging/disease in normal appearing systems that function normally. Mental illness can predicted using biological diagnostic measurements provided in CCSDS telemetry from a spacecraft such as the ISS or from a manned spacecraft in deep space. The measurements used to predict mental illness include biological and engineering data from an astronaut´s circadian and ultranian rhythms. This data originates deep in the brain that is also damaged from the long-term exposure to cortisol and adrenaline anytime the body´s fight or flight response is activated. This paper defines the brain´s FOFR; the diagnostic, biological and engineering measurements needed to predict mental illness, identifies the predictive algorithms necessary to process the behavior in CCSDS analog telemetry to predict and thus prevent mental illness from occurring on human spaceflight missions.
  • Keywords
    biomedical telemetry; brain; circadian rhythms; diseases; medical diagnostic computing; neurophysiology; patient diagnosis; CCSDS analog telemetry; accelerated aging-disease; adrenaline; analog telemetry; astronaut circadian rhythms; astronaut ultranian rhythms; biological diagnostic data; brain fight-or-flight response; cortisol; diagnostic analysis; electrical equipment; engineering diagnostic data; ground crew; health management program; human space flight program; human spaceflight missions; long-term exposure; mechanical equipment; mental illness; predictive medicine program; prelaunch spaceflight readiness activities; prognostic analysis; prognostic program; space exploration missions; Biology; Extraterrestrial measurements; Heuristic algorithms; Medical diagnostic imaging; Prediction algorithms; Receivers; Transponders;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2013 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4673-1812-9
  • Type

    conf

  • DOI
    10.1109/AERO.2013.6496840
  • Filename
    6496840