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Research
Prof. Dong-Joo Kim's paper accepted in Journal of Neurosurgery
Author Administrator (IP: *.152.74.116) Date 2019-02-28 15:35 Views 415
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Prof. Dong-Joo Kim's research paper, Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury was accepted in Journal of Neurosurgery.

 

Title: Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury

 

Abstract:

OBJECTIVE Monitoring intracranial and arterial blood pressure (ICP and ABP, respectively) provides crucial information regarding the neurological status of traumatic brain injury (TBI) patients. However, these signals are often heavily affected by artifacts, which may significantly reduce the reliability of the clinical determinations derived from the signals. The goal of this work is to eliminate signal artifacts from continuous ICP and ABP monitoring via deep learning techniques and to assess the changes in the prognostic capacities of clinical parameters after artifact elimination.

METHODS The first 24 h of monitoring ICP and ABP in a total of 309 patients with TBI were retrospectively analyzed. An artifact elimination model for ICP and ABP was constructed via a stacked convolutional autoencoder (SCAE) and convolutional neural network (CNN) with 10-fold cross-validation tests. The prevalence and prognostic capacity of ICP-ABP-related clinical events were compared before and after artifact elimination.

RESULTS The proposed SCAE-CNN model exhibited reliable accuracy in eliminating ABP and ICP artifacts (net prediction rates of 97% and 94%, respectively). The prevalence of ICP-ABP-related clinical events (i.e., systemic hypotension, intracranial hypertension, cerebral hypoperfusion and poor cerebrovascular reactivity) all decreased significantly after artifact removal.

CONCLUSIONS The SCAE-CNN model can be reliably used to eliminate artifacts, which significantly improves the reliability and efficacy of ICP-ABP-derived clinical parameters for prognostic determinations after TBI.

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Research
Prof. Byoung-Kyong Min's paper published at NeuroImage
Prof. Byoung-Kyong Min's paper published at NeuroImage
Prof. Byoung-Kyong Min's research paper, 'Thalamocortical Inhibitory Dynamics Support Conscious Perception' was publishsed at NeuroImage. Link to the publication: https://doi.org/10.1016/j.neuroimage.2020.117066 Title: Thalamocortical Inhibitory Dynamics Support Conscious Perception Abstract:Whether thalamocortical interactions play a decisive role in conscious perception remains an open question. We presented rapid red/g…

2020-06-15

Prof. Jeehyun Kwag's paper accepted in Chaos
Prof. Jeehyun Kwag's paper accepted in Chaos
Prof. Jeehyun Kwag's research paper, 'Distinct subtypes of inhibitory interneurons differentially promote the propagation of rate and temporal codes in the feedforward neural network' was accepted in Chaos.  link to the publication: https://aip.scitation.org/doi/full/10.1063/1.5134765Title: Distinct subtypes of inhibitory interneurons differentially promote the propagation of rate and temporal codes in the feedforward neu…

2020-05-29

Prof. Jeehyun Kwag's paper accepted in Science Advances
Prof. Jeehyun Kwag's paper accepted in Science Advances
Prof. Jeehyun Kwag's research paper, 'Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex'  was accepted in Science Advances.  Publication Link: https://advances.sciencemag.org/content/6/17/eaay5333/Title: Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortexAbstract: Synchron…

2020-04-23

Prof. Byoung-Kyong Min's paper accepted in Trends in Biotechnology
Prof. Byoung-Kyong Min's paper accepted in Trends in Biotechnology
Prof. Byoung-Kyong Min's research paper, 'New Cognitive Neurotechnology Facilitates Studies of Cortical-Subcortical Interactions' was accepted in Trends in Biotechnology. Title: New Cognitive Neurotechnology Facilitates Studies of Cortical-Subcortical Interactions Abstract:Most of the studies employing neuroimaging have focused on cortical and subcortical signals individually to obtain neurophysiological signatures of cognitiv…

2020-03-09

Prof. Jeehyun Kwag's paper accepted in Brain Structure and Function
Prof. Jeehyun Kwag's paper accepted in Brain Structure and Function
Prof. Jeehyun Kwag's research paper, 'Dissociation of Somatostatin and Parvalbumin Interneurons Circuit Dysfunctions Underlying Hippocampal Theta and Gamma Oscillations impaired by Amyloid β Oligomers in Vivo' was accepted in Brain Structure and Function. Publication Link: https://link.springer.com/article/10.1007/s00429-020-02044-3Title: Dissociation of somatostatin and parvalbumin interneurons circuit dysfunctions underlyin…

2020-03-02

Prof. Jeehyun Kwag's paper accepted in BMC Biology
Prof. Jeehyun Kwag's paper accepted in BMC Biology
Prof. Jeehyun Kwag's research paper, 'Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation-induced spike timing-dependent long-term potentiation impaired by amyloid β oligomers' was accepted in BMC Biology. Title: Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation…

2020-03-02

Prof. Heung-Il Suk's paper accepted in NeuroImage
Prof. Heung-Il Suk's paper accepted in NeuroImage
Prof. Heung-Il Suk's research paper, 'Toward an Interpretable Alzheimer's Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning' was accepted in NeuroImage.  Title: Toward an Interpretable Alzheimer's Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning  Abstract: In this paper, we propose a novel method for magnetic resonance imaging based Alzheimer's disease (…

2019-08-20

Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Image Processing
Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Image Processing
Prof. Jae-Ho Han’s new research on `Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images` was accepted in IEEE Transactions on Image Processing.  Title: Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography ImagesAbstract: Segmenting the retinal layers in optical coherence tomography (OCT) images helps to quantify the …

2019-07-24

Prof. Seong-Whan Lee's paper accepted in IEEE Transactions on Intelligent Transportation Systems
Prof. Seong-Whan Lee's paper accepted in IEEE Transactions on Intelligent Transp…
Prof. Seong-Whan Lee's new research, Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-occurrence Feature was accepted in IEEE Transactions on Intelligent Transportation Systems. Title: 'Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-occurrence Feature Abstract: The continuous orientation estimation of a moving pedestrian is a crucial issue in auto…

2019-05-02

Prof. Heung-Il Suk's paper accepted in Neural Networks
Prof. Heung-Il Suk's paper accepted in Neural Networks
Prof. Heung-Il Suk's research paper, 'Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection' was accepted in Neural Networks.   Title: Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection Abstract: Lung cancer is a global and dangerous disease, and its early detection is crucial for reducing the risks of mortality. In this regard, it has been o…

2019-03-07

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