首页> 外文会议>Aerospace Conference;IEEE Aerospace Conference >Using the Brain's Fight-or-Flight Response for Predicting Mental Illness on the Human Space Flight Program
【24h】

Using the Brain's Fight-or-Flight Response for Predicting Mental Illness on the Human Space Flight Program

机译:利用大脑的战斗或飞行反应来预测人类航天飞行计划的精神疾病

获取原文

摘要

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.
机译:预测性医学计划允许使用产生的工具预测疾病和疾病,包括精神疾病,以确定电气和机械设备中加速衰老(A.K.A.疾病)的存在。当可以预测疾病和疾病时,可以采取行动,以便可以防止和消除疾病和疾病。预测医学计划采用来自预后和健康管理计划的相同工具和实践来处理预先录制和太空勘探任务期间在模拟遥测中提供的生物和工程诊断数据。从预推出的航天准备期间和地面船员的太空飞行期间收集了预测疾病和疾病所必需的生物和工程诊断数据,以便在诊断分析中对结果进行预后分析。遥测中提供的诊断,使用预测算法转换为预后(预测)数据。预测算法解调遥测行为。它们说明了正常出现的系统中的加速衰老/疾病的存在。可以使用CCSDS遥测中提供的生物诊断测量来预测精神疾病,这些测量来自诸如ISS的航天器或来自深层空间的载人航天器。用于预测精神疾病的测量包括来自宇航员的昼夜节律和超级节奏的生物和工程数据。这种数据源于大脑深处,随时随地从长期暴露于皮质醇和肾上腺素时损坏。本文定义了大脑的FOFR;需要预测精神疾病所需的诊断,生物和工程测量,识别处理CCSDS模拟遥测中的行为所必需的预测算法,以预测,从而防止精神疾病发生在人类的航天特派团上。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号