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Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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https://www.readbyqxmd.com/read/26738200/development-of-technique-for-laser-welding-of-biological-tissues-using-laser-welding-device-and-nanocomposite-solder
#1
A Gerasimenko, L Ichcitidze, V Podgaetsky, D Ryabkin, E Pyankov, M Saveliev, S Selishchev
The laser device for welding of biological tissues has been developed involving quality control and temperature stabilization of weld seam. Laser nanocomposite solder applied onto a wound to be weld has been used. Physicochemical properties of the nanocomposite solder have been elucidated. The nature of the tissue-organizing nanoscaffold has been analyzed at the site of biotissue welding.
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738199/immediate-biofeedback-for-energy-balance-via-expired-breath-%C3%AE-13-co2
#2
Daniel E Butz, Damien Weidmann, Richard Brownsword, Mark E Cook, Dale A Schoeller, Leah D Whigham
Expired breath δ(13)CO2 measured in real time serves as a useful biomarker of altered macronutrient metabolism in response to changes in energy balance. Altered breath δ(13)CO2 is believed to be a result of changes in macronutrient oxidation and the kinetic isotope effect where enzymatic processes discriminate against metabolites naturally enriched with (13)C. Use of breath δ(13)CO2 as a rapid biofeedback of energy balance status will enhance an individual's ability to modify behavior during weight loss efforts...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738198/mobile-evaluation-of-human-energy-balance-and-weight-control-potential-for-future-developments
#3
Steven B Heymsfield, Justin Younghyun Kim, Yusuf A Bhagat, Jolene Zheng, Insoo Kim, Ahyoung Choi, Seongwook Jo, Jaegeol Cho
Quantification of energy storage is essential in understanding energy balance and can be determined by bioelectrical impedance analysis (BIA). Here, we have developed a smartphone form factor multi-frequency BIA device that incorporates an analog front end for body composition measurements. The device was compared against a reference gel-electrode based BIA system in a clinical trial of 311 subjects for predicting BIA equations by calibrating the impedance index to body composition data from dual energy X-ray absorptiometry (DXA)...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738197/optical-detection-of-carotenoids-in-living-tissue-as-a-measure-of-fruit-and-vegetable-intake
#4
Leah D Whigham, Alisha H Redelfs
Circulating blood carotenoids have long been accepted as the most accurate biomarker of total fruit and vegetable intake. Recent technological developments have led to a novel optical detection method of carotenoids in living human tissue, allowing for a non-invasive and rapid method to assess fruit and vegetable intake. Future technological advances to increase sensitivity and molecular specificity, reduce cost, and detect other biomedically important compounds would expand use of this methodology.
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738196/a-visual-tool-for-dna-repeats-screening
#5
Petre G Pop, Mircea F Vaida
DNA sequence analysis has been developing to reveal some hidden structure, to distinguish coding from noncoding regions in DNA sequence, and to explore structural similarity among DNA sequences. DNA repeats are associated with human disease, seems to play a role in genome organization and evolution and are important in regulatory processes. A lot of the methods for finding repeated sequences use signal processing techniques which implies distances, similarities and consensus sequences to generate candidate sequences...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738193/novel-protein-weight-matrix-generated-from-amino-acid-indices
#6
Charalambos Chrysostomou, Huseyin Seker
In recent years, numerous protein weight matrices have been developed that include physical characteristics of proteins, such as local sequence-structure information, alpha-helix information, secondary structure information and solvent accessibility states. These protein weight matrices are shown to have generally improved protein sequence alignments over classical protein weight matrices, like Point Accepted Mutation (PAM), Blocks of Amino Acid Substitution (BLOSUM), and GONNET matrices, where important limitations have been observe in recent works...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738192/inference-of-nonlinear-gene-regulatory-networks-through-optimized-ensemble-of-support-vector-regression-and-dynamic-bayesian-networks
#7
Arinze Akutekwe, Huseyin Seker
Comprehensive understanding of gene regulatory networks (GRNs) is a major challenge in systems biology. Most methods for modeling and inferring the dynamics of GRNs, such as those based on state space models, vector autoregressive models and G1DBN algorithm, assume linear dependencies among genes. However, this strong assumption does not make for true representation of time-course relationships across the genes, which are inherently nonlinear. Nonlinear modeling methods such as the S-systems and causal structure identification (CSI) have been proposed, but are known to be statistically inefficient and analytically intractable in high dimensions...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738191/comparison-of-unsupervised-feature-selection-methods-for-high-dimensional-regression-problems-in-prediction-of-peptide-binding-affinity
#8
Ferdi Sarac, Volkan Uslan, Huseyin Seker, Ahmed Bouridane
Identification of robust set of predictive features is one of the most important steps in the construction of clustering, classification and regression models from many thousands of features. Although there have been various attempts to select predictive feature sets from high-dimensional data sets in classification and clustering, there is a limited attempt to study it in regression problems. As semi-supervised and supervised feature selection methods tend to identify noisy features in addition to discriminative variables, unsupervised feature selection methods (USFSMs) are generally regarded as more unbiased approach...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738190/emergency-response-nurse-scheduling-with-medical-support-robot-by-multi-agent-and-fuzzy-technique
#9
Shinya Kono, Akira Kitamura
In this paper, a new co-operative re-scheduling method corresponding the medical support tasks that the time of occurrence can not be predicted is described, assuming robot can co-operate medical activities with the nurse. Here, Multi-Agent-System (MAS) is used for the co-operative re-scheduling, in which Fuzzy-Contract-Net (FCN) is applied to the robots task assignment for the emergency tasks. As the simulation results, it is confirmed that the re-scheduling results by the proposed method can keep the patients satisfaction and decrease the work load of the nurse...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738189/development-of-sleep-apnea-syndrome-screening-algorithm-by-using-heart-rate-variability-analysis-and-support-vector-machine
#10
Chikao Nakayama, Koichi Fujiwara, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Although sleep apnea syndrome (SAS) is a common sleep disorder, most patients with sleep apnea are undiagnosed and untreated because it is difficult for patients themselves to notice SAS in daily living. Polysomnography (PSG) is a gold standard test for sleep disorder diagnosis, however PSG cannot be performed in many hospitals. This fact motivates us to develop an SAS screening system that can be used easily at home. The autonomic nervous function of a patient changes during apnea. Since changes in the autonomic nervous function affect fluctuation of the R-R interval (RRI) of an electrocardiogram (ECG), called heart rate variability (HRV), SAS can be detected through monitoring HRV...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738188/from-data-to-the-decision-a-software-architecture-to-integrate-predictive-modelling-in-clinical-settings
#11
A Martinez-Millana, C Fernandez-Llatas, L Sacchi, D Segagni, S Guillen, R Bellazzi, V Traver
The application of statistics and mathematics over large amounts of data is providing healthcare systems with new tools for screening and managing multiple diseases. Nonetheless, these tools have many technical and clinical limitations as they are based on datasets with concrete characteristics. This proposition paper describes a novel architecture focused on providing a validation framework for discrimination and prediction models in the screening of Type 2 diabetes. For that, the architecture has been designed to gather different data sources under a common data structure and, furthermore, to be controlled by a centralized component (Orchestrator) in charge of directing the interaction flows among data sources, models and graphical user interfaces...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738187/using-sequential-patterns-as-features-for-classification-models-to-make-accurate-predictions-on-icu-events
#12
Shameek Ghosh, Jinyan Li
Pattern mining algorithms have previously been utilized to extract informative rules in various clinical contexts. However, the number of generated patterns are numerous. In most cases, the extracted rules are directly investigated by clinicians for understanding disease diagnoses. The elicitation of important patterns for clinical investigation places a significant demand for precision and interpretability. Hence, it is essential to obtain a set of informative interpretable patterns for building advanced learning models about a patient's physiological condition, specially in critical care units...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738186/a-decision-support-system-based-on-an-ensemble-of-random-forests-for-improving-the-management-of-women-with-abnormal-findings-at-cervical-cancer-screening
#13
Panagiotis Bountris, Maria Haritou, Abraham Pouliakis, Petros Karakitsos, Dimitrios Koutsouris
In most cases, cervical cancer (CxCa) develops due to underestimated abnormalities in the Pap test. Today, there are ancillary molecular biology techniques available that provide important information related to CxCa and the Human Papillomavirus (HPV) natural history, including HPV DNA tests, HPV mRNA tests and immunocytochemistry techniques such as overexpression of p16. These techniques are either highly sensitive or highly specific, however not both at the same time, thus no perfect method is available today...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738185/simulation-of-cellular-changes-on-optical-coherence-tomography-of-human-retina
#14
Miriam Santos, Aderito Araujo, Silvia Barbeiro, Francisco Caramelo, Antonio Correia, Maria Isabel Marques, Luis Pinto, Pedro Serranho, Rui Bernardes, Miguel Morgado
We present a methodology to assess cell level alterations on the human retina responsible for functional changes observable in the Optical Coherence Tomography data in healthy ageing and in disease conditions, in the absence of structural alterations. The methodology is based in a 3D multilayer Monte Carlo computational model of the human retina. The optical properties of each layer are obtained by solving the Maxwell's equations for 3D domains representative of small regions of those layers, using a Discontinuous Galerkin Finite Element Method (DG-FEM)...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738184/semiautomatic-detection-of-villi-in-confocal-endoscopy-for-the-evaluation-of-celiac-disease
#15
D Boschetto, H Mirzaei, R W L Leong, G Tarroni, E Grisan
Celiac Disease (CD) is an immune-mediated enteropathy, diagnosed in the clinical practice by intestinal biopsy and the concomitant presence of a positive celiac serology. Confocal Laser Endomicroscopy (CLE) allows skilled and trained experts to potentially perform in vivo virtual histology of small-bowel mucosa. In particular, it allows the qualitative evaluation of mucosa alteration such as a decrease in goblet cells density, presence of villous atrophy or crypt hypertrophy. We present a semi-automatic method for villi detection from confocal endoscopy images, whose appearance change in case of villous atrophy...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738183/characterization-of-the-role-of-collagen-network-structure-and-composition-in-cancer-cell-migration
#16
Maria Anguiano, Carlos Castilla, Martin Maska, Cristina Ederra, Javier Fernandez-Marques, Rafael Pelaez, Ana Rouzaut, Arrate Munoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solorzano
The geometry of 3D collagen networks is a key factor that influences the behavior of live cells within extra-cellular matrices. This paper presents a method for automatic quantification of the 3D collagen network geometry with fiber resolution in confocal reflection microscopy images. The proposed method is based on a smoothing filter and binarization of the collagen network followed by a fiber reconstruction algorithm. The method is validated on 3D collagen gels with various collagen and Matrigel concentrations...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738182/unsupervised-hep-2-mitosis-recognition-in-indirect-immunofluorescence-imaging
#17
Simone Tonti, Santa Di Cataldo, Enrico Macii, Elisa Ficarra
Automated HEp-2 mitotic cell recognition in IIF images is an important and yet scarcely explored step in the computer-aided diagnosis of autoimmune disorders. Such step is necessary to assess the goodness of the HEp-2 samples and helps the early diagnosis of the most difficult or ambiguous cases. In this work, we propose a completely unsupervised approach for HEp-2 mitotic cell recognition that overcomes the problem of mitotic/non-mitotic class imbalance due to the limited number of mitotic cells. Our technique automatically selects a limited set of candidate cells from the HEp-2 slide and then applies a clustering algorithm to identify the mitotic ones based on their texture...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738181/morphological-analysis-of-neurons-automatic-identification-of-elongations
#18
A Cosentino, E Boni, S Pacini, J Branca, G Morucci, M Ruggiero, L Bocchi
Our study is focused on the development of a new method for the automatic analysis of cell images. We focused on neurons (cells line SH-SY5Y) treated/untreated with ultrasound and stained with Haematoxylin-Eosin. The aim of the algorithm is the automatic detection of the cell body as well as the determination of the number and the length of neuron elongations. Starting point of the algorithm was the convolution of an image with a bank of rotating Gaussian kernels and the construction of a module map. Then several strategies were implemented to detect cell bodies and to detect and extract data about cell elongations...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738180/analyzing-oct-images-of-age-related-macular-degeneration-patients-to-identify-spatial-health-correlations
#19
Susannah Go, Parvathi Chundi, Mahadevan Subramaniam, Eyal Margalit
An approach to automatically group age-related macular degeneration (AMD) patients having similar retinal health profiles by clustering Optical Coherence Tomography (OCT) images is described. Spatial health patterns within and across profiles are discovered by identifying segments of images that have similar levels of health in a given retina region. Segmentations of various sizes are considered and the segmentation where the segment similarity most closely matches the discovered health profiles is used to identify health patterns...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26738179/towards-the-assessment-of-listening-effort-in-real-life-situations-mobile-eeg-recordings-in-a-multimodal-driving-situation
#20
Angela Damian, Farah I Corona-Strauss, Ronny Hannemann, Daniel J Strauss
The EEG estimation of listening effort has been proven to efficiently map subjectively perceived effort on an objective scale. However, it has mostly been performed in controlled audiometric laboratory environments. In this study, we investigated the feasibility of the EEG listening effort assessment in a multisensory demanding environment. For this purpose, two mobile EEG acquisition systems were used to extract the objective listening effort of the ongoing oscillatory activity (OLEosc) while driving. As an auditory paradigm was presented to trigger listening effort, the simulated driving scenario served as a competing task responding to different modalities...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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