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https://www.readbyqxmd.com/read/28732302/a-familiar-size-stroop-effect-in-the-absence-of-basic-level-recognition
#1
Bria Long, Talia Konkle
When we view a picture of an object, we automatically recognize what the object is and know how big it typically is in the world (Konkle & Oliva, 2012). Is information about an object's size activated only after we've identified the object, or can this size information be activated before object recognition even occurs? We previously found that big and small objects differ in mid-level perceptual features (Long, Konkle, Cohen, & Alvarez, 2016). Here we asked whether these perceptual features can automatically trigger real-world size processing, bypassing the need for basic-level object recognition...
July 18, 2017: Cognition
https://www.readbyqxmd.com/read/28732281/epileptic-seizure-detection-in-eegs-signals-based-on-the-weighted-visibility-graph-entropy
#2
Zeynab Mohammadpoory, Mahda Nasrolahzadeh, Javad Haddadnia
PURPOSE: Epileptic seizure detection has been a complex task for both researchers and specialist in that the assessment of epilepsy is difficult because, electroencephalogram (EEG) signals are chaotic and non-stationary. METHOD: This paper proposes a new method based on weighted visibility graph entropy (WVGE) to identify seizure from EEG signals. Single channel EEG signals are mapped onto the WVGs and WVGEs are calculated from these WVGs. Then some features are extracted of WVGEs and given to classifiers to investigate the performance of these features to classify the brain signals into three groups of normal (healthy), seizure free (interictal) and during a seizure (ictal) groups...
July 11, 2017: Seizure: the Journal of the British Epilepsy Association
https://www.readbyqxmd.com/read/28732269/gyral-net-a-new-representation-of-cortical-folding-organization
#3
Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu
One distinct feature of the cerebral cortex is its convex (gyri) and concave (sulci) folding patterns. Due to the remarkable complexity and variability of gyral/sulcal shapes, it has been challenging to quantitatively model their organization patterns. Inspired by the observation that the lines of gyral crests can form a connected graph on each brain hemisphere, we propose a new representation of cortical gyri/sulci organization pattern - gyral net, which models cortical architecture from a graph perspective, starting with nodes and edges obtained from the reconstructed cortical surfaces...
July 15, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28732268/validation-comparison-and-combination-of-algorithms-for-automatic-detection-of-pulmonary-nodules-in-computed-tomography-images-the-luna16-challenge
#4
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S N Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng Ann Heng, Bart Jansen, Michael M J de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T M C Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Evgenia Papavasileiou, Mathias Prokop, Marco Saletta, Cornelia M Schaefer-Prokop, Ernst T Scholten, Luuk Scholten, Miranda M Snoeren, Ernesto Lopez Torres, Jef Vandemeulebroucke, Nicole Walasek, Guido C A Zuidhof, Bram van Ginneken, Colin Jacobs
Automatic detection of pulmonary nodules in thoracic computed tomography (CT) scans has been an active area of research for the last two decades. However, there have only been few studies that provide a comparative performance evaluation of different systems on a common database. We have therefore set up the LUNA16 challenge, an objective evaluation framework for automatic nodule detection algorithms using the largest publicly available reference database of chest CT scans, the LIDC-IDRI data set. In LUNA16, participants develop their algorithm and upload their predictions on 888 CT scans in one of the two tracks: 1) the complete nodule detection track where a complete CAD system should be developed, or 2) the false positive reduction track where a provided set of nodule candidates should be classified...
July 13, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28731432/multivariate-approach-for-alzheimer-s-disease-detection-using-stationary-wavelet-entropy-and-predator-prey-particle-swarm-optimization
#5
Yudong Zhang, Shuihua Wang, Yuxiu Sui, Ming Yang, Bin Liu, Hong Cheng, Junding Sun, Wenjuan Jia, Preetha Phillips, Juan Manuel Gorriz
BACKGROUND: The number of patients with Alzheimer's disease is increasing rapidly every year. Scholars often use computer vision and machine learning methods to develop an automatic diagnosis system. OBJECTIVE: In this study, we developed a novel machine learning system that can make diagnoses automatically from brain magnetic resonance images. METHODS: First, the brain imaging was processed, including skull stripping and spatial normalization...
July 17, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28730864/automatic-rbg-depth-pressure-anthropometric-analysis-and-individualised-sleep-solution-prescription
#6
Jordi Esquirol Caussa, Cristina Palmero Cantariño, Vanessa Bayo Tallón, Miquel Àngel Cos Morera, Sergio Escalera Domínguez, David Sánchez, Maider Sánchez Padilla, Noelia Serrano Domínguez, Mireia Relats Vilageliu
INTRODUCTION: Sleep surfaces must adapt to individual somatotypic features to maintain a comfortable, convenient and healthy sleep, preventing diseases and injuries. Individually determining the most adequate rest surface can often be a complex and subjective question. OBJECTIVES: To design and validate an automatic multimodal somatotype determination model to automatically recommend an individually designed mattress-topper-pillow combination. METHODS: Design and validation of an automated prescription model for an individualised sleep system is performed through a single-image 2 D-3 D analysis and body pressure distribution, to objectively determine optimal individual sleep surfaces combining five different mattress densities, three different toppers and three cervical pillows...
July 21, 2017: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/28730471/single-cell-imaging-of-erk-signaling-using-fluorescent-biosensors
#7
Michael Pargett, Taryn E Gillies, Carolyn K Teragawa, Breanne Sparta, John G Albeck
Single-cell analysis of the mitogen-activated protein kinase (MAPK) extracellular signal-regulated kinase (ERK) provides a means to perform highly detailed kinetic studies, assess heterogeneity between cells, and distinguish the subcellular localization of ERK activity. We describe here the methods needed to perform such measurements in a cell type of the investigator's choosing. We discuss the selection of appropriate reporters and provide detailed methods for stably introducing reporters, collecting live-cell data, and automatically extracting quantitative information from individual cells...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28729809/on-the-rotation-of-teleseismic-seismograms-based-on-the-receiver-function-technique
#8
M Wilde-Piórko, M Grycuk, M Polkowski, M Grad
The receiver function (RF) technique is a well-established method to investigate the crustal and upper mantle structures based on three-component seismograms of teleseismic events. In the present study, we propose a modified automatic procedure to determine the back azimuth and polarization angles of a teleseismic event based on the RF technique. The method is tested for the recording of 3 permanent and 3 temporary broadband seismic stations located in the vicinity of Poland. Additionally, the analysis of Rayleigh wave polarization is conducted to show that the new procedure is not sensitive to incorrect seismometer orientation...
2017: Journal of Seismology
https://www.readbyqxmd.com/read/28729710/learning-a-health-knowledge-graph-from-electronic-medical-records
#9
Maya Rotmensch, Yoni Halpern, Abdulhakim Tlimat, Steven Horng, David Sontag
Demand for clinical decision support systems in medicine and self-diagnostic symptom checkers has substantially increased in recent years. Existing platforms rely on knowledge bases manually compiled through a labor-intensive process or automatically derived using simple pairwise statistics. This study explored an automated process to learn high quality knowledge bases linking diseases and symptoms directly from electronic medical records. Medical concepts were extracted from 273,174 de-identified patient records and maximum likelihood estimation of three probabilistic models was used to automatically construct knowledge graphs: logistic regression, naive Bayes classifier and a Bayesian network using noisy OR gates...
July 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28729684/combining-low-dimensional-wavelet-features-and-support-vector-machine-for-arrhythmia-beat-classification
#10
Qin Qin, Jianqing Li, Li Zhang, Yinggao Yue, Chengyu Liu
Automatic feature extraction and classification are two main tasks in abnormal ECG beat recognition. Feature extraction is an important prerequisite prior to classification since it provides the classifier with input features, and the performance of classifier depends significantly on the quality of these features. This study develops an effective method to extract low-dimensional ECG beat feature vectors. It employs wavelet multi-resolution analysis to extract time-frequency domain features and then applies principle component analysis to reduce the dimension of the feature vector...
July 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28729473/automatic-versus-manual-oxygen-administration-in-the-emergency-department
#11
Erwan L'Her, Patricia Dias, Maelenn Gouillou, Anne Riou, Luc Souquiere, Nicolas Paleiron, Patrick Archambault, Pierre-Alexandre Bouchard, François Lellouche
Oxygen is commonly administered in hospitals, with poor adherence to treatment recommendations.We conducted a multicentre randomised controlled study in patients admitted to the emergency department requiring O2 ≥3 L·min(-1) Patients were randomised to automated closed-loop or manual O2 titration during 3 h. Patients were stratified according to arterial carbon dioxide tension (PaCO2 ) (hypoxaemic PaCO2 ≤45 mmHg; or hypercapnic PaCO2 >45-≤55 mmHg) and study centre. Arterial oxygen saturation measured by pulse oximetry (SpO2 ) goals were 92-96% for hypoxaemic, or 88-92% for hypercapnic patients...
July 2017: European Respiratory Journal: Official Journal of the European Society for Clinical Respiratory Physiology
https://www.readbyqxmd.com/read/28729233/dynamo-a-modular-platform-for-monitoring-process-outcome-and-algorithm-based-treatment-planning-in-psychotherapy
#12
Tim Kaiser, Anton Rupert Laireiter
BACKGROUND: In recent years, the assessment of mental disorders has become more and more personalized. Modern advancements such as Internet-enabled mobile phones and increased computing capacity make it possible to tap sources of information that have long been unavailable to mental health practitioners. OBJECTIVE: Software packages that combine algorithm-based treatment planning, process monitoring, and outcome monitoring are scarce. The objective of this study was to assess whether the DynAMo Web application can fill this gap by providing a software solution that can be used by both researchers to conduct state-of-the-art psychotherapy process research and clinicians to plan treatments and monitor psychotherapeutic processes...
July 20, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28728471/implementing-technical-refinement-in-high-level-athletics-exploring-the-knowledge-schemas-of-coaches
#13
Philip E Kearney, Howie J Carson, Dave Collins
This paper explores the approaches adopted by high-level field athletics coaches when attempting to refine an athlete's already well-established technique (long and triple jump and javelin throwing). Six coaches, who had all coached multiple athletes to multiple major championships, took part in semi-structured interviews focused upon a recent example of technique refinement. Data were analysed using a thematic content analysis. The coaching tools reported were generally consistent with those advised by the existing literature, focusing on attaining "buy-in", utilising part-practice, restoring movement automaticity and securing performance under pressure...
July 21, 2017: Journal of Sports Sciences
https://www.readbyqxmd.com/read/28728434/economic-model-predictive-control-of-bihormonal-artificial-pancreas-system-based-on-switching-control-and-dynamic-r-parameter
#14
Fengna Tang, Youqing Wang
BACKGROUND: Blood glucose (BG) regulation is a long-term task for people with diabetes. In recent years, more and more researchers have attempted to achieve automated regulation of BG using automatic control algorithms, called the artificial pancreas (AP) system. In clinical practice, it is equally important to guarantee the treatment effect and reduce the treatment costs. The main motivation of this study is to reduce the cure burden. METHODS: The dynamic R-parameter economic model predictive control (R-EMPC) is chosen to regulate the delivery rates of exogenous hormones (insulin and glucagon)...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28728043/autofocus-on-moving-object-in-scanning-electron-microscope
#15
Andrey V Kudryavtsev, Sounkalo Dembélé, Nadine Piat
The sharpness of the images coming from a Scanning Electron Microscope (SEM) is a very important property for many computer vision applications at micro- and nanoscale. It represents how much object details are distinctive in the images: the object may be perceived sharp or blurred. Image sharpness highly depends on the value of focal distance, or working distance in the case of the SEM. Autofocus is the technique allowing to automatically adjust the working distance to maximize the sharpness. Most of the existing algorithms allows working only with a static object which is enough for the tasks of visualization, manual microanalysis or microcharacterization...
July 12, 2017: Ultramicroscopy
https://www.readbyqxmd.com/read/28727808/automatic-mouse-ultrasound-detector-a-mud-a-new-tool-for-processing-rodent-vocalizations
#16
Sarah M Zala, Doris Reitschmidt, Anton Noll, Peter Balazs, Dustin J Penn
House mice (Mus musculus) emit complex ultrasonic vocalizations (USVs) during social and sexual interactions, which have features similar to bird song (i.e., they are composed of several different types of syllables, uttered in succession over time to form a pattern of sequences). Manually processing complex vocalization data is time-consuming and potentially subjective, and therefore, we developed an algorithm that automatically detects mouse ultrasonic vocalizations (Automatic Mouse Ultrasound Detector or A-MUD)...
2017: PloS One
https://www.readbyqxmd.com/read/28727725/redgem-systematic-reduction-and-analysis-of-genome-scale-metabolic-reconstructions-for-development-of-consistent-core-metabolic-models
#17
Meric Ataman, Daniel F Hernandez Gardiol, Georgios Fengos, Vassily Hatzimanikatis
Genome-scale metabolic reconstructions have proven to be valuable resources in enhancing our understanding of metabolic networks as they encapsulate all known metabolic capabilities of the organisms from genes to proteins to their functions. However the complexity of these large metabolic networks often hinders their utility in various practical applications. Although reduced models are commonly used for modeling and in integrating experimental data, they are often inconsistent across different studies and laboratories due to different criteria and detail, which can compromise transferability of the findings and also integration of experimental data from different groups...
July 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28727553/flycap-markerless-motion-capture-using-multiple-autonomous-flying-cameras
#18
Lan Xu, Yebin Liu, Wei Cheng, Kaiwen Guo, Guyue Zhou, Qionghai Dai, Lu Fang
Aiming at automatic, convenient and non-instrusive motion capture, this paper presents a new generation markerless motion capture technique, the FlyCap system, to capture surface motions of moving characters using multiple autonomous flying cameras (autonomous unmanned aerial vehicles(UAVs) each integrated with an RGBD video camera). During data capture, three cooperative flying cameras automatically track and follow the moving target who performs large-scale motions in a wide space. We propose a novel non-rigid surface registration method to track and fuse the depth of the three flying cameras for surface motion tracking of the moving target, and simultaneously calculate the pose of each flying camera...
July 18, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28727286/using-cell-nuclei-features-to-detect-colon-cancer-tissue-in-hematoxylin-and-eosin-stained-slides
#19
Alex Skovsbo Jørgensen, Anders Munk Rasmussen, Niels Kristian Mäkinen Andersen, Simon Kragh Andersen, Jonas Emborg, Rasmus Røge, Lasse Riis Østergaard
Currently, diagnosis of colon cancer is based on manual examination of histopathological images by a pathologist. This can be time consuming and interpretation of the images is subject to inter- and intra-observer variability. This may be improved by introducing a computer-aided diagnosis (CAD) system for automatic detection of cancer tissue within whole slide hematoxylin and eosin (H&E) stains. Cancer disrupts the normal control mechanisms of cell proliferation and differentiation, affecting the structure and appearance of the cells...
July 20, 2017: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
https://www.readbyqxmd.com/read/28727284/technical-note-using-k-means-clustering-to-determine-the-number-and-position-of-isocenters-in-mlc-based-multiple-target-intracranial-radiosurgery
#20
Adam D Yock, Gwe-Ya Kim
PURPOSE: To present the k-means clustering algorithm as a tool to address treatment planning considerations characteristic of stereotactic radiosurgery using a single isocenter for multiple targets. METHODS: For 30 patients treated with stereotactic radiosurgery for multiple brain metastases, the geometric centroids and radii of each met were determined from the treatment planning system. In-house software used this as well as weighted and unweighted versions of the k-means clustering algorithm to group the targets to be treated with a single isocenter, and to position each isocenter...
July 20, 2017: Journal of Applied Clinical Medical Physics
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