AIMC Topic: Hypoxia

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Deep Convolutional Neural Network and Reverse Biorthogonal Wavelet Scalograms for Automatic Identification of High Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Diagnosis of hypoxic-ischemic encephalopathy (HIE) is currently limited and prognostic biological markers are required for early identification of at risk infants at birth. Using pre-clinical data from our fetal sheep models, we have shown that micro...
Neural Networks, Computer Pregnancy Female Animals Fuzzy Logic Electroencephalography Hypoxia Sheep Wavelet Analysis
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Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Early diagnosis and prognosis of babies with signs of hypoxic-ischemic encephalopathy (HIE) is currently limited and requires reliable prognostic biomarkers to identify at risk infants. Using our pre-clinical fetal sheep models, we have demonstrated ...
Humans Neural Networks, Computer Pregnancy Female Infant, Newborn Animals Fuzzy Logic Electroencephalography Hypoxia Sheep Wavelet Analysis
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Psychophysiological resources and reserves for increasing flight safety.

Voenno-meditsinskii zhurnal Mar 1, 2017
The diirectins and ways of ostcgiogtsuikigucak health resources of pilot in order to ensure his professional safety are discussed. The author analyz the approaches to improve the health of the pilot based on foreign studies. The authors evaluate the ...
Humans Health Resources Safety Hypoxia Adaptation, Physiological Aerospace Medicine Pilots
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Machine Learning Models of Post-Intubation Hypoxia During General Anesthesia.

Studies in health technology and informatics Jan 1, 2017
Fine-meshed perioperative measurements are offering enormous potential for automatically investigating clinical complications during general anesthesia. In this study, we employed multiple machine learning methods to model perioperative hypoxia and c...
Humans Neural Networks, Computer Machine Learning Anesthesia, General Hypoxia Intubation
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