scholarly journals Physiological interpretation of almost loss of consciousness

2019 ◽  
Vol 63 ◽  
pp. 28-32 ◽  
Author(s):  
SS Khatua ◽  
M Dahiya ◽  
A Gowda ◽  
P Sannigrahi
Keyword(s):  
Retrospective Analysis ◽  
Regional Differences ◽  
High Performance ◽  
Nerve Fibers ◽  
Time Span ◽  
Training Data ◽  
Loss Of Consciousness ◽  
Ischemic Hypoxia ◽  
Ocular Reflex ◽  
Vestibulo Ocular Reflex

Background: The phenomenon of almost loss of consciousness (A-LOC) is although known to the aviation fraternity since the 1980s, it is not well researched. Very few studies have attempted to elaborate the characteristics of A-LOC. The present study is a retrospective analysis which has endeavored to address the lacunae in literature. Materials and Methods: A retrospective analysis of the G training data in high-performance human centrifuge for a time span of 4 years (2009–2013) was carried out. Results: A total of 71 A-LOC incidents were reported and were analyzed for better understanding of A-LOC. On the basis of findings such as nystagmus, maintenance of postural tone, convulsions, amnesia, and dreams during A-LOC, neurophysiology of A-LOC has been hypothesized. Conclusion: The presence of nystagmus and maintenance of body posture suggest intact vestibulo-ocular reflex and sensory-motor tract, respectively. Non-recollection of dreams, amnesia suggests breach in memory and/ or information processing for higher functions. The mechanism of A-LOC in toto can be explained by regional differences in blood flow and vulnerability of cerebral centers to ischemic hypoxia. Convulsions in A-LOC could be attributed to hyperexcitability of nerve fibers due to hypoxia.

Vestibulo-ocular reflex adaptation to moving virtual sound source

2013 ◽  
Vol 72 (3) ◽  
pp. 156-162
Author(s):  
Yumiko O. Kato ◽  
Koshi Mikami ◽  
Yasuhiro Miyamoto ◽  
Shoji Watanabe ◽  
Izumi Koizuka
Keyword(s):  
Sound Source ◽  
Ocular Reflex ◽  
Vestibulo Ocular Reflex

scholarly journals Estimating the phase volume fraction of multi-phase steel via unsupervised deep learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sung Wook Kim ◽  
Seong-Hoon Kang ◽  
Se-Jong Kim ◽  
Seungchul Lee
Keyword(s):  
High Performance ◽  
Materials Science ◽  
Volume Fraction ◽  
Training Data ◽  
Phase Fraction ◽  
Phase Volume ◽  
Generative Adversarial Network ◽  
Phase Volume Fraction ◽  
Original Dataset ◽  
Multi Phase

AbstractAdvanced high strength steel (AHSS) is a steel of multi-phase microstructure that is processed under several conditions to meet the current high-performance requirements from the industry. Deep neural network (DNN) has emerged as a promising tool in materials science for the task of estimating the phase volume fraction of these steels. Despite its advantages, one of its major drawbacks is its requirement of a sufficient amount of training data with correct labels to the network. This often comes as a challenge in many areas where obtaining data and labeling it is extremely labor-intensive. To overcome this challenge, an unsupervised way of learning DNN, which does not require any manual labeling, is proposed. Information maximizing generative adversarial network (InfoGAN) is used to learn the underlying probability distribution of each phase and generate realistic sample points with class labels. Then, the generated data is used for training an MLP classifier, which in turn predicts the labels for the original dataset. The result shows a mean relative error of 4.53% at most, while it can be as low as 0.73%, which implies the estimated phase fraction closely matches the true phase fraction. This presents the high feasibility of using the proposed methodology for fast and precise estimation of phase volume fraction in both industry and academia.

scholarly journals Addressing the eye fixation problem in gaze tracking for human computer interface using the vestibulo-ocular reflex

2020 ◽  
Vol 21 ◽  
pp. 100488
Author(s):  
Adam Pantanowitz ◽  
Kimoon Kim ◽  
Chelsey Chewins ◽  
Isabel N.K. Tollman ◽  
David M. Rubin
Keyword(s):  
Computer Interface ◽  
Human Computer Interface ◽  
Gaze Tracking ◽  
Eye Fixation ◽  
Ocular Reflex ◽  
Vestibulo Ocular Reflex

scholarly journals The vestibular implant: frequency-dependency of the electrically evoked vestibulo-ocular reflex in humans

2015 ◽  
Vol 8 ◽  
Author(s):  
Raymond van de Berg ◽  
Nils Guinand ◽  
T. A. Khoa Nguyen ◽  
Maurizio Ranieri ◽  
Samuel Cavuscens ◽  
...  
Keyword(s):  
Frequency Dependency ◽  
Vestibular Implant ◽  
Ocular Reflex ◽  
Vestibulo Ocular Reflex
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