Imaging of neuro-cognitive performance in extreme Environments—A (p)review

Schneider, Stefan; Bubeev, Juri A.; Choukèr, Alexander; Моруков, Б. В.; Johannes, Bernd; Strüder, Heiko K.

doi:10.1016/j.pss.2012.06.021

Cited by 6 publications

(3 citation statements)

References 46 publications

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“…So we could realize the measurement of human brain hemodynamic data and function information in space environment. [26] There are two available methods to measure brain functions in aerospace field, EEG and fNIR. And fNIR has many advantages when compared with EEG.…”

Section: Space Environmentmentioning

confidence: 99%

New Application, Development and Aerospace Prospect of fNIR

Pan¹,

Jiao²

2013

ENG

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Functional near-infrared imaging (fNIR) is a non-invasive, convenient, safe and stable imaging method to test biological state. It can obtain the biological tissue hemodynamic data, thus becoming a powerful tool to measure brain activities, mental workload, metabolism and cognitive activities state. First of all, we introduced the characteristics and current situation of fNIR in this article. Then we focused on the applications of fNIR, discussed some existing problems and future directions, including the prospect in aerospace field. Our purpose is to give a comprehensive description of fNIR and show its potential in aerospace field

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Section: Space Environmentmentioning

confidence: 99%

New Application, Development and Aerospace Prospect of fNIR

Pan¹,

Jiao²

2013

ENG

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“…The National Aeronautics and Space Administration (NASA) has stated that 80% to 85% of all recorded spaceflight accidents between 1990 and 1993 were related to human errors. Because of the high risk and catastrophic effects of human error, many researchers have studied the space environment and its effects on human performance . Stefan Schneider and his colleagues reported that living in extreme environments induces a number of physiological and psychological stressors, any of which may hinder mission success and safety.…”

Section: Introductionmentioning

confidence: 99%

“…Because of the high risk and catastrophic effects of human error, many researchers have studied the space environment and its effects on human performance . Stefan Schneider and his colleagues reported that living in extreme environments induces a number of physiological and psychological stressors, any of which may hinder mission success and safety. According to Kanas and Manzey, the neurocognitive and neurobehavioral problems that arise in space are primarily due to 4 different types of factors: physical, habitability‐related, psychological, and social or interpersonal factors.…”

Section: Introductionmentioning

confidence: 99%

A method of human reliability analysis and quantification for space missions based on a Bayesian network and the cognitive reliability and error analysis method

Chen

Zhou

Lyu

et al. 2018

Quality & Reliability Eng

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Analyses of human reliability during manned spaceflight are crucial because human error can easily arise in the extreme environment of space and may pose a great potential risk to the mission. Although various approaches exist for human reliability analysis (HRA), all these approaches are based on human behavior on the ground. Thus, to appropriately analyze human reliability during spaceflight, this paper proposes a space-based HRA method of quantifying the human error probability (HEP) for space missions. Instead of ground-based performance shaping factors (PSFs), this study addresses PSFs specific to the space environment, and a corresponding evaluation system is integrated into the proposed approach to fully consider space mission characteristics. A Bayesian network is constructed based on the cognitive reliability and error analysis method (CREAM) to model these space-based PSFs and their dependencies. By incorporating the Bayesian network, the proposed approach transforms the HEP estimation procedure into a probabilistic calculation, thereby overcoming the shortcomings of traditional HRA methods in addressing the uncertainty of the complex space environment. More importantly, by acquiring more information, the HEP estimates can be dynamically updated by means of this probabilistic calculation. By studying 2 examples and evaluating the HEPs for an International Space Station ingress procedure, the feasibility and superiority of the developed approach are validated both mathematically and in a practical scenario.

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