Neuroscience and Biomedical Engineering (Discontinued) - Volume 3, Issue 1, 2015
Volume 3, Issue 1, 2015
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Symmetry-Correlated Component in the Visual-Evoked Potential: Electrophysiological Study of Visual Symmetry Perception in Humans
Authors: Alwin Melkie Sambul, Nobuki Murayama and Tomohiko IgasakiHumans are able to perceive symmetry information in the visual environment rapidly and efficiently. Although the psychophysical aspects of visual symmetry recognition have been investigated, relatively little attention has been paid to understanding their underlying neural mechanisms. This study aimed to investigate human visual-evoked potentials (VEPs) in response to complex object images of varying symmetry, and to fin Read More
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In Silico Analysis to Study Blockade of Potassium Channels by Common Poisons and Their Relative Affinity of Binding
Authors: S.M. Patel, A. Mishra and M. PatelThe peptide poison binding mechanism shows how different types of potassium channels are affected or blocked by peptide poisons derived from disparate species of scorpions and snakes. The peptide poison binding mechanism to the extracellular domain of potassium channel called pore domain was examined. The binding affinity of a given poison molecule to a specific potassium channel is quantified on the basis of ZDoc Read More
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Speed Matching Interaction between Visual and Tactile Motion
Authors: Liancun Zhang, Jiajia Yang, Yinghua Yu, Satoshi Takahashi, Yuta Araki, Qiang Huang and Jinglong WuThe goal of the present study is to explore the speed discrimination interaction between visual and tactile motion during unimodal tasks and crossmodal tasks. Fifteen participants performed four speed reproduction tasks that included a tactile-tactile task, a visual-visual task, a tactile-visual task and a visual-tactile task at various speeds. Participants were asked to remember the standard stimuli speed and match the st Read More
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Mammogram Classification Based on Morphological Component Analysis (MCA) and Curvelet Decomposition
Authors: Syed J. S. Gardezi and Ibrahima FayeDetection of breast cancer at early stages helps reducing the mortality rates in women. Mammography has proven to be very useful tool in the diagnosis of breast cancer, yet there are complications to separate diverse morphological features in mammographic images. This study investigates the potential use of morphological component analysis (MCA) for classifying normal and abnormal tissues in mammograms. Read More
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Sleep Level Prediction for Daytime Short Nap Based on Auto-Regressive Moving Average Model
Authors: Bei Wang, Junmin Zhang, Tao Zhang, Takenao Sugi, Xingyu Wang and Masatoshi NakamuraThe daytime nap sleep has positive relaxation function when the subject is waking up from about 20 minutes light sleep, but negative effect of sleep inertia when they fall and wake up from deep sleep. In this study, an automatic sleep level prediction method was developed for daytime short nap regulation. The ultimate purpose is to predict the tendency of sleep level from light to deep. Accordingly the subject can have mode refr Read More
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Development of Tablet Device App for Parkinson’s Disease Patients’ Continuous Self-Monitoring and Management
Authors: Bona Kim, Jeff Baldwin, Kara Lukasiewicz, Mark Hallett, John Harrington, Anne Altemus and Codrin LunguClinical data collection in Parkinson’s disease (PD) patients is typically limited to twice or thrice yearly visits with the neurologist. This creates potential for recollection bias and difficulty assessing disease severity and response to medication. We sought to develop a patient-driven mobile app that optimizes PD patient-reported outcome collection. We observed what health topics dominated discussion during appointments Read More
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Construction of Clinical Pathway Using Dual Clustering
Authors: Yuko Tsumoto, Haruko Iwata, Shoji Hirano and Shusaku TsumotoThis paper proposes a method for construction of a clinical pathway based on attribute and sample clustering, called dual clustering. The method consists of the following four steps: first, histories of nursing orders are extracted from a hospital information system. Second, orders are classified into several groups by using clustering on the pricipal components (sample clustering). Third, attribute clustering is applied to the data. F Read More
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