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Chiang HsiuSen HS Department of Information Management, National Taichung University of Science & Technology, 129, Sec. 3, Sanmin Road, Taichung City 404, TAIWAN; Phone: (886)921730662; Email:   2014
Changes in the normal rhythm of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart sustained over long periods of time. Therefore, the ability to automatically identify arrhythmias from ECG recordings is important for clinical diagnosis and treatment. ...


Tanantong Tanatorn   2014
Five wellknown arrhythmia classification algorithms were compared in this paper based on the recommendations in AAMI standard. They are C4.5, kNearest Neighbor, Multilayer Perceptron, PART, and Support Vector Machine, respectively, with inputs related to heartbeat intervals and ECG morphological features. They were evaluated on three independent datasets, including the MITBIH ...


Trayanova Natalia A NA Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD,   2013
Modern cardiovascular research has increasingly recognized that heart models and simulation can help interpret an array of experimental data and dissect important mechanisms and interrelationships, with developments rooted in the iterative interaction between modeling and experimentation. This article reviews the progress made in simulating cardiac electrical behavior at the level ...


Combining neural networks and ANFIS classifiers for supervised examining of electrocardiogram beats.
Javadi Mehrdad   2013
Abstract In this paper, the supervised classification of the electrocardiogram (ECG) beats based on the fusion of several intelligent learning machines is described. For classification of ECG heartbeats, first, the QRS complexes are delineated by an efficient algorithm so as to identify the fiducial and Jlocations of each complex. For ...


Novel algorithm for arrhythmogenic focus localization in patients with right ventricular outflow ...
Pytkowski Mariusz   2013
Previously presented new ECG algorithm for localization of arrhythmogenic focus (AFo) in right ventricular outflow tract (RVOT) was based on spontaneous arrhythmia QRS morphology analysis. The aim of this study was to estimate the clinical value of our RVOT algorithm in a prospective study. Algorithm validation was made on 62 ...


Chakroborty Sandipan   2013
Currently about one in eighteen of the American population suffer from cardiac Arrhythmias that lead to Coronary Heart Diseases and this rate is steadily increasing. An early monitoring and diagnosis of Arrhythmia based on Electrocardiogram signals can help in reducing mortality. This paper primarily focuses on the application of Auto ...


CastroOspina A E   2013
Processing of the longterm ECG Holter recordings for accurate arrhythmia detection is a problem that has been addressed in several approaches. However, there is not an outright method for heartbeat classification able to handle problems such as the large amount of data and highly unbalanced classes. This work introduces a ...


Induced pluripotent stem cellderived cardiomyocytes: boutique science or valuable arrhythmia model?
Knollmann Björn C BC Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical School, Nashville, TN 372320575, USA.   2013
This article reviews the strengths and limitations of induced pluripotent stem cellderived cardiomyocytes (iPSCCM) as models of cardiac arrhythmias. Specifically, the article attempts to answer the following questions: Which clinical arrhythmias can be modeled by iPSCCM? How well can iPSCCM model adult ventricular myocytes? What are the strengths and limitations ...


Behar J   2013
An automated algorithm to assess electrocardiogram (ECG) quality for both normal and abnormal rhythms is presented for false arrhythmia alarm suppression of intensive care unit (ICU) monitors. A particular focus is given to the quality assessment of a wide variety of arrhythmias. Data from three databases were used: the Physionet ...


MacRae Calum A   2013
Our understanding of the complexity of arrhythmogenesis has grown progressively over the last two decades. The range of established arrhythmia mechanisms now includes numerous pathways including ion channels, membrane adaptor proteins, transcription factors and cytoplasmic signaling cascades. This review outlines the emerging biology underlying potentially lethal rhythm disturbances, and highlights ...


Almendral Jesús   2013
In this paper, we review the information accumulated over the years regarding the phenomena of resetting and entrainment of reentrant arrhythmias. Over three decades of research and clinical applications, these phenomena have demonstrated that they stay as a main tool for an intellectual understanding of reentry and to base strategies ...


Zhu Bohui   2013
This paper presents a novel maximum margin clustering method with immune evolution (IEMMC) for automatic diagnosis of electrocardiogram (ECG) arrhythmias. This diagnostic system consists of signal processing, feature extraction, and the IEMMC algorithm for clustering of ECG arrhythmias. First, raw ECG signal is processed by an adaptive ECG filter based ...


Yılmaz Ersen   2013
An expert system having two stages is proposed for cardiac arrhythmia diagnosis. In the first stage, Fisher score is used for feature selection to reduce the feature space dimension of a data set. The second stage is classification stage in which least squares support vector machines classifier is performed by ...


Chierici Marco   2012
Many are the sources of variability that can affect reproducibility of disease biomarkers from timeofflight (TOF) Mass Spectrometry (MS) data. Here we present TOFwave, a complete software pipeline for TOFMS biomarker identification, that limits the impact of parameter tuning along the whole chain of preprocessing and model selection modules. Peak ...


FernandezdeCossio Diaz Jorge J Faculty of Physics, Havana University, Havana,   2012
We derive a new efficient algorithm for the computation of the isotopic peak centermass distribution of a molecule. With the use of Fourier transform techniques, the algorithm accurately computes the total abundance and average mass of all the isotopic species with the same number of nucleons. We evaluate the performance ...


Chen ChyongMei   2012
Current status data arise due to only one feasible examination such that the failure time of interest occurs before or after the examination time. If the examination time is intrinsically related to the failure time of interest, the examination time is referred to as an informative censoring time. Such data ...


Buelow Heiko   2012
We present Spectral Registration with Multilayer Resampling (SRMR) as a 6 Degrees Of Freedom (DOF) registration method for noisy 3D data with partial overlap. The algorithm is based on decoupling 3D rotation from 3D translation by a corresponding resampling process of the spectral magnitude of a 3D Fast Fourier Transform ...


Levy Wayne C   2012
The Seattle Heart Failure Model (SHFM) is a multivariable model with proven prognostic value. Cardiopulmonary exercise testing (CPX) and neurohormonal markers (eg, Btype natriuretic peptide [BNP]) are also well accepted assessment techniques in the HF population and have both demonstrated robust prognostic value. The purpose of this investigation was to ...


Gradl Stefan   2012
We developed an application for Android™based mobile devices that allows realtime electrocardiogram (ECG) monitoring and automated arrhythmia detection by analyzing ECG parameters. ECG data provided by prerecorded files or acquired live by accessing a Shimmer™ sensor node via Bluetooth™ can be processed and evaluated. The application is based on the ...


Li Xi   2012
In this paper, we construct an appearance model using the 3D discrete cosine transform (3DDCT). The 3DDCT is based on a set of cosine basis functions, which are determined by the dimensions of the 3D signal and thus independent of the input video data. In addition, the 3DDCT can generate ...


Shen Yi   2012
Green [J. Acoust. Soc. Am. 87, 26622674 (1990)] suggested an efficient, maximumlikelihoodbased approach for adaptively estimating thresholds. Such procedures determine the signal strength on each trial by first identifying the most likely psychometric functions among the preproposed alternatives based on responses from previous trials, and then finding the signal strength ...


Zhang XueQing   2012
We present a latticegas kinetic Monte Carlo model to investigate the formation of silicate oligomers, their aggregation and the subsequent gelation process. In the early oligomerization stage, the 3rings are metastable, 5rings and 6rings are formed in very small quantities, 4rings are abundant species, linear and branched species are transformed ...


Velo Jamie R   2012
Resting frontal encephalographic (EEG) asymmetry, often conceptualized as a trait marker for depression, is influenced by occasionspecific factors, including time of year and the time of day of the recording session as demonstrated recently (Peterson and HarmonJones, 2009). The current study examined the influence of seasonal and chronological variables on ...


Maggioni M   2012
We present an extension of the BM3D filter to volumetric data. The proposed algorithm, denominated BM4D, implements the grouping and collaborative filtering paradigm, where mutually similar ddimensional patches are stacked together in a (d+1)dimensional array and jointly filtered in transform domain. While in BM3D the basic data patches are blocks ...


Hsu YungChin   2012
Spatial transformation for diffusion spectrum imaging (DSI) is an important step for group analyses of DSI datasets. In this study, we developed a transformation method for DSI datasets under the framework of large deformation diffeomorphic metric mapping (LDDMM), which is termed LDDMMDSI. The proposed method made use of the fact ...


Weimer Marc   2012
Concentrationresponse studies are performed to investigate the potency of the substance under investigation. Data are typically evaluated using nonlinear regression. A common model is the loglogistic model which includes parameters for lower and upper boundary of mean response, EC50 and Hill slope. Often, response and/or concentration data are transformed before ...


Dekkers A L M   2012
In dietary exposure assessment, statistical methods exist for estimating the usual intake distribution from daily intake data. These methods transform the dietary intake data to normal observations, eliminate the withinperson variance, and then backtransform the data to the original scale. We propose Gaussian Quadrature (GQ), a numerical integration method, as ...


Lu Hongjing   2012
How can humans acquire relational representations that enable analogical inference and other forms of highlevel reasoning? Using comparative relations as a model domain, we explore the possibility that bottomup learning mechanisms applied to objects coded as feature vectors can yield representations of relations sufficient to solve analogy problems. We introduce ...


Chetty C C   2012
Knowledge and technology transfer to African laboratories and farmers is an important objective for achieving food security and sustainable crop production on the subSaharan African continent. Cassava (Manihot esculenta Crantz) is a vital source of calories for more than a billion people in developing countries, and its potential industrial use ...


Makitalo M   2012
Many digital imaging devices operate by successive photontoelectron, electrontovoltage, and voltagetodigit conversion. This process is subject to various signaldependent errors, which are typically modelled as PoissonGaussian noise. The removal of such noise can be approached indirectly by applying a variancestabilizing transformation (VST) to the noisy data, denoising the stabilized data ...


Norris H   2012
Purpose: Perbeam qualityassurance (QA) methods (e.g. portal dosimetry) have been shown to be inadequate for reporting the clinical significance of delivery errors or deviations. Recently we presented a novel 'transform' method which can solve this problem utilizing 3D dosimetry techniques. Here, we evaluate the accuracy of this method under various ...


Serafini Fausta   2012
This study describes an efficient transformation system for the introduction of plasmid DNA into Bifidobacterium bifidum PRL2010 and Bifidobacterium asteroides PRL2011, for which to the best of our knowledge no transformation data have been reported previously. The method is based on electroporation of bifidobacterial cells, which were made competent by ...


Xu L   2012
Rapid discrimination of pork in Halal and nonHalal Chinese ham sausages was developed by Fourier transform infrared (FTIR) spectrometry combined with chemometrics. Transmittance spectra ranging from 400 to 4000cm(1) of 73 Halal and 78 nonHalal Chinese ham sausages were measured. Sample preparation involved finely grinding of samples and formation of ...


Heuer Herbert   2012
Previous research suggests that the acquisition of an internal model of a complex visuomotor transformation might proceed as a progression of approximations. Here, we test this assumption by comparing performance of three groups of participants during practice and subsequent openloop tests with three different types of visuomotor transformation: the kinematic ...


Kůrková Věra   2012
Integral transforms with kernels corresponding to computational units are exploited to derive estimates of network complexity. The estimates are obtained by combining tools from nonlinear approximation theory and functional analysis together with representations of functions in the form of infinite neural networks. The results are applied to perceptron networks.


Tai Farbound   2012
We consider a hypercube view to perceive the label space of multilabel classification problems geometrically. The view allows us not only to unify many existing multilabel classification approaches but also design a novel algorithm, principal label space transformation (PLST), that captures key correlations between labels before learning. The simple and ...


Doebler Philipp   2012
We propose 2 related models for the metaanalysis of diagnostic tests. Both models are based on the bivariate normal distribution for transformed sensitivities and falsepositive rates. Instead of using the logit as a transformation for these proportions, we employ the tα family of transformations that contains the log, logit, and ...


Baldwin Peter   2012
When two test forms measure the same construct but are independently modelled using item response theory, the two forms' respective metrics cannot be assumed to be equivalent. Thus, before comparing parameter estimates across forms, a linear transformation must be applied to at least one form's scale. The meansigma method is ...


NguyenKy Tai   2012
This paper presents a new index to measure the hypnotic depth of anaesthesia (DoA) using EEG signals. This index is derived from applying combined Wavelet transform, eigenvector and normalisation techniques. The eigenvector method is first applied to build a feature function for six levels of coefficients in a discrete wavelet ...


Domokos Csaba   2012
In this paper, we propose a novel framework to estimate the parameters of a diffeomorphism that aligns a known shape and its distorted observation. Classical registration methods first establish correspondences between the shapes and then compute the transformation parameters from these landmarks. Herein, we trace back the problem to the ...


Horsch Karla   2012
The authors developed scaling methods that monotonically transform the output of one classifier to the "scale" of another. Such transformations affect the distribution of classifier output while leaving the ROC curve unchanged. In particular, they investigated transformations between radiologists and computer classifiers, with the goal of addressing the problem of ...


Llamedo Mariano   2012
In this work we studied the improvement in heartbeat classification achieved by including information from multilead ECG recordings in a previously developed and validated classification model. This model includes features from the RR interval series and morphology descriptors for each lead calculated from the wavelet transform. The experiments were carried ...


Cheng Long   2012
The trajectory tracking problem of a closedchain fivebar robot is studied in this paper. Based on an error transformation function and the backstepping technique, an approximationbased tracking algorithm is proposed, which can guarantee the control performance of the robotic system in both the stable and transient phases. In particular, the ...


Hurtado Rúa Sandra M   2012
We propose a hierarchical Bayesian methodology to model spatially or spatiotemporal clustered survival data with possibility of cure. A flexible continuous transformation class of survival curves indexed by a single parameter is used. This transformation model is a larger class of models containing two special cases of the wellknown existing ...


Wang Chun   2012
The item response times (RTs) collected from computerized testing represent an underutilized source of information about items and examinees. In addition to knowing the examinees' responses to each item, we can investigate the amount of time examinees spend on each item. In this paper, we propose a semiparametric model for ...


Schneegans Sebastian   2012
Whenever we shift our gaze, any location information encoded in the retinocentric reference frame that is predominant in the visual system is obliterated. How is spatial memory retained across gaze changes? Two different explanations have been proposed: Retinocentric information may be transformed into a gazeinvariant representation through a mechanism consistent ...


Jing Yang   2012
It is known that the acoustic emission (AE) signals contain potentially valuable information for grinding wheel and work conditions during automatic grinding process. However, AE signals produced in the grinding zone are usually much more complicated and it is difficult to obtain enough effective information directly from raw AE signals. ...


Borghi Riccardo   2012
A computational strategy, aimed at evaluating diffraction catastrophes belonging to the X_{9} family is presented. The approach proposed is based on the use of power series expansions, suitably derived for giving meaningful representation of the whole ^{0}X_{9} subfamily, jointly with a powerful sequence transformation algorithm, the socalled Weniger transformation. The ...


Hsu WeiYen WY Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.   2012
In this study, an electroencephalogram (EEG) analysis system is proposed for singletrial classification of both motor imagery (MI) and fingerlifting EEG data. Applying eventrelated brain potential (ERP) data acquired from the sensorimotor cortices, the system mainly consists of three procedures; enhanced active segment selection, feature extraction, and classification. In addition ...


Salavert Torres Jose   2012
General Purpose Graphic Processing Units (GPGPUs) constitute an inexpensive resource for computingintensive applications that could exploit an intrinsic finegrain parallelism. This paper presents the design and implementation in GPGPUs of an exact alignment tool for nucleotide sequences based on the BurrowsWheeler Transform. We compare this algorithm with stateoftheart implementations of ...


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