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S0169260715000267 | A normal cardiac activation starts in the sinoatrial node and then spreads throughout the atrial myocardium, thus defining the P-wave of the electrocardiogram. However, when the onset of paroxysmal atrial fibrillation (PAF) approximates, a highly disturbed electrical activity occurs within the atria, thus provoking fra... | Role of the P-wave high frequency energy and duration as noninvasive cardiovascular predictors of paroxysmal atrial fibrillation |
S0169260715000279 | Background and objective Insulin bolus calculators are simple decision support software tools incorporated in most commercially available insulin pumps and some capillary blood glucose meters. Although their clinical benefit has been demonstrated, their utilisation has not been widespread and their performance remains ... | Method for automatic adjustment of an insulin bolus calculator: In silico robustness evaluation under intra-day variability |
S0169260715000280 | Alternative splicing plays a key role in the regulation of the central dogma. Four major types of alternative splicing have been classified as intron retention, exon skipping, alternative 5 splice sites or alternative donor sites, and alternative 3 splice sites or alternative acceptor sites. A few algorithms have been ... | SplicingTypesAnno: Annotating and quantifying alternative splicing events for RNA-Seq data |
S0169260715000292 | The prediction of substantially short survivability in patients is extremely risky. In this study, we proposed a probabilistic model using Bayesian network (BN) to predict the short survivability of patients with brain metastasis from lung cancer. A nationwide cancer patient database from 1996 to 2010 in Taiwan was use... | Probabilistic modeling of short survivability in patients with brain metastasis from lung cancer |
S0169260715000309 | Today, more and more biological laboratories use 3D cell cultures and tissues grown in vitro as a 3D model of in vivo tumours and metastases. In the last decades, it has been extensively established that multicellular spheroids represent an efficient model to validate effects of drugs and treatments for human care appl... | AnaSP: A software suite for automatic image analysis of multicellular spheroids |
S0169260715000449 | Retinal image registration is a necessary step in diagnosis and monitoring of Diabetes Retinopathy (DR), which is one of the leading causes of blindness. Long term diabetes affects the retinal blood vessels and capillaries eventually causing blindness. This progressive damage to retina and subsequent blindness can be p... | Orthogonal moments for determining correspondence between vessel bifurcations for retinal image registration |
S0169260715000450 | Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption is being reformulated because the co-expression of a group of genes may be the result of an independent activation with respect to the same experimental condition and not due to the same regulatory... | Integrating biological knowledge based on functional annotations for biclustering of gene expression data |
S0169260715000553 | Recent study shows that tendon-sheath system (TSS) has great potential in the development of surgical robots for endoscopic surgery. It is able to deliver adequate power in a light-weight and compact package. And the flexibility and compliance of the tendon-sheath system make it capable of adapting to the long and wind... | Modeling and motion compensation of a bidirectional tendon-sheath actuated system for robotic endoscopic surgery |
S0169260715000565 | Objective Stroke is a prominent life-threatening disease in the world. The current study was performed to predict the outcome of stroke using knowledge discovery process (KDP) methods, artificial neural networks (ANN) and support vector machine (SVM) models. Materials and methods The records of 297 (130 sick and 167 he... | Application of knowledge discovery process on the prediction of stroke |
S0169260715000577 | Classifying imbalanced data in medical informatics is challenging. Motivated by this issue, this study develops a classifier approach denoted as BSMAIRS. This approach combines borderline synthetic minority oversampling technique (BSM) and artificial immune recognition system (AIRS) as global optimization searcher with... | A hybrid classifier combining Borderline-SMOTE with AIRS algorithm for estimating brain metastasis from lung cancer: A case study in Taiwan |
S0169260715000589 | Background Gastric cancer is among the most common gastrointestinal cancers worldwide. Patients who have undergone surgery for gastric cancer may suffer from malnutrition and potential consequences such as gastrointestinal complications, surgical stress, and cancer cachexia. A tablet PC-based intervention via a mobile ... | Tablet PC-enabled application intervention for patients with gastric cancer undergoing gastrectomy |
S0169260715000590 | The assessment of the state of the acrosome is a priority in artificial insemination centres since it is one of the main causes of function loss. In this work, boar spermatozoa present in gray scale images acquired with a phase-contrast microscope have been classified as acrosome-intact or acrosome-damaged, after using... | Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors |
S0169260715000607 | The paper presents a computer-based assessment for facioscapulohumeral dystrophy (FSHD) diagnosis through characterisation of the fat and oedema percentages in the muscle region. A novel multi-slice method for the muscle-region segmentation in the T1-weighted magnetic resonance images is proposed using principles of th... | Computer-based assessment for facioscapulohumeral dystrophy diagnosis |
S0169260715000619 | The Gene Ontology (GO) is a structured repository of concepts (GO terms) that are associated to one or more gene products. The process of association is referred to as annotation. The relevance and the specificity of both GO terms and annotations are evaluated by a measure defined as information content (IC). The analy... | Using GO-WAR for mining cross-ontology weighted association rules |
S0169260715000760 | In recent years several computational methods have been developed to predict RNA-binding sites in protein. Most of these methods do not consider interacting partners of a protein, so they predict the same RNA-binding sites for a given protein sequence even if the protein binds to different RNAs. Unlike the problem of p... | Predicting protein-binding RNA nucleotides with consideration of binding partners |
S0169260715000875 | Background and objective Cardiac arrhythmias are disorders in terms of speed or rhythm in the heart's electrical system. Atrial fibrillation (AFib) is the most common sustained arrhythmia that affects a large number of persons. Electrophysiologic study (EPS) procedures are used to study fibrillation in patients; they c... | A framework for the atrial fibrillation prediction in electrophysiological studies |
S0169260715000887 | We present a software system called “Polyp-Alert” to assist the endoscopist find polyps by providing visual feedback during colonoscopy. Polyp-Alert employs our previous edge-cross-section visual features and a rule-based classifier to detect a polyp edge—an edge along the contour of a polyp. The technique employs trac... | Polyp-Alert: Near real-time feedback during colonoscopy |
S0169260715000899 | In this paper a new automatic approach to determine the accurate measure of human vertebrae is proposed. The aim is to speed up the measurement process and to reduce the uncertainties that typically affect the measurement carried out by traditional approaches. The proposed method uses a 3D model of the vertebra obtaine... | A new method for the automatic identification of the dimensional features of vertebrae |
S0169260715000905 | Patients use nurse call systems to signal nurses for medical help. Traditional push button-flashing lamp call systems are not integrated with other hospital automation systems. Therefore, nurse response time becomes a matter of personal discretion. The improvement obtained by integrating a pager system into the nurse c... | Improving communication among nurses and patients |
S0169260715000917 | Computational fluid dynamics (CFD) modeling of the pulmonary vasculature has the potential to reveal continuum metrics associated with the hemodynamic stress acting on the vascular endothelium. It is widely accepted that the endothelium responds to flow-induced stress by releasing vasoactive substances that can dilate ... | Patient-specific computational modeling of blood flow in the pulmonary arterial circulation |
S0169260715000929 | Pharmacokinetics can be a challenging topic to teach due to the complex relationships inherent between physiological parameters, mathematical descriptors and equations, and their combined impact on shaping the blood fluid concentration vs. time curves of drugs. A computer program was developed within Microsoft Excel fo... | uSIMPK. An Excel for Windows-based simulation program for instruction of basic pharmacokinetics principles to pharmacy students |
S0169260715000930 | Purpose Clinical pathways fall under the process perspective of health care quality. For care providers, clinical pathways can be compared to improve health care quality. The objective of this study was to design a convenient physician order set comparison system based on claim records from the National Health Insuranc... | A cross-hospital cost and quality assessment system by extracting frequent physician order set from a nationwide Health Insurance Research Database |
S0169260715000942 | We propose the signal processing technique of calculating a cross-correlation function and an average deviation between the continuous blood glucose and the interpolation of limited blood glucose samples to evaluate blood glucose monitoring frequency in a self-aware patient software agent model. The diabetic patient so... | A signal processing application for evaluating self-monitoring blood glucose strategies in a software agent model |
S0169260715000954 | Background and objective Several abnormal brain regions are known to be linked to depression, including amygdala, orbitofrontal cortex (OFC), anterior cingulate cortex (ACC), and dorsolateral prefrontal cortex (DLPFC) etc. The aim of this study is to apply EEG (electroencephalogram) data analysis to investigate, with r... | A study on EEG-based brain electrical source of mild depressed subjects |
S0169260715000966 | Background and objectives Continuous subcutaneous insulin infusion (CSII) pump is widely considered a convenience and promising way for type 1 diabetes mellitus (T1DM) subjects, who need exogenous insulin infusion. In the standard insulin pump therapy, there are two modes for insulin infusion: basal and bolus insulin. ... | Optimization of insulin pump therapy based on high order run-to-run control scheme |
S0169260715001108 | Telemedicine is the medical practice of information exchanged from one location to another through electronic communications to improve the delivery of health care services. This research article describes a telemedicine framework with knowledge engineering using taxonomic reasoning of ontology modeling and semantic si... | Telemedicine framework using case-based reasoning with evidences |
S0169260715001133 | We provide a continuation of the existing Activity Table Modeling methodology with a modular spreadsheets simulation. The simulation model developed is comprised of 28 modeling elements for the abdominal surgery cycle process. The simulation of a two-week patient flow in an abdominal clinic with 75 beds demonstrates th... | Abdominal surgery process modeling framework for simulation using spreadsheets |
S0169260715001376 | Background and objective Periodontitis involves progressive loss of alveolar bone around the teeth. Hence, automatic alveolar bone-loss (ABL) measurement in periapical radiographs can assist dentists in diagnosing such disease. In this paper, we propose an effective method for ABL area localization and denote it as ABL... | Alveolar bone-loss area localization in periodontitis radiographs based on threshold segmentation with a hybrid feature fused of intensity and the H-value of fractional Brownian motion model |
S0169260715001492 | Background and objective The evaluation of the clinical status of a patient is frequently based on the temporal evolution of some parameters, making the detection of temporal patterns a priority in data analysis. Temporal abstraction (TA) is a methodology widely used in medical reasoning for summarizing and abstracting... | JTSA: An open source framework for time series abstractions |
S0169260715001509 | Background and objectives Rule-based classification is a typical data mining task that is being used in several medical diagnosis and decision support systems. The rules stored in the rule base have an impact on classification efficiency. Rule sets that are extracted with data mining tools and techniques are optimized ... | A Swarm Optimization approach for clinical knowledge mining |
S0169260715001510 | The histopathological examination of tissue specimens is necessary for the diagnosis and grading of colon cancer. However, the process is subjective and leads to significant inter/intra observer variation in diagnosis as it mainly relies on the visual assessment of histopathologists. Therefore, a reliable computer-aide... | Novel structural descriptors for automated colon cancer detection and grading |
S0169260715001522 | Background and objective The accurate identification of fat droplets is a prerequisite for the automatic quantification of steatosis in histological images. A major challenge in this regard is the distinction between clustered fat droplets and vessels or tissue cracks. Methods We present a new method for the identifica... | Fast and accurate identification of fat droplets in histological images |
S0169260715001534 | There are various medical image sharing and electronic whiteboard systems available for diagnosis and discussion purposes. However, most of these systems ask clients to install special software tools or web plug-ins to support whiteboard discussion, special medical image format, and customized decoding algorithm of dat... | Medical high-resolution image sharing and electronic whiteboard system: A pure-web-based system for accessing and discussing lossless original images in telemedicine |
S0169260715001546 | Background and objective Meaningful targeting of brain structures is required in a number of experimental designs in neuroscience. Current technological developments as high density electrode arrays for parallel electrophysiological recordings and optogenetic tools that allow fine control of activity in specific cell p... | Neurosurgery planning in rodents using a magnetic resonance imaging assisted framework to target experimentally defined networks |
S0169260715001558 | Background and objectives Dose finding trials using model-based methods have the ability to handle the increasingly complex landscape being seen in clinical trials. Issues such as patient heterogeneity in trial populations are important to address in the designing of a trial in addition to the inclusion/exclusion crite... | Implementation of a two-group likelihood time-to-event continual reassessment method using SAS |
S0169260715001571 | Automatic detection of the QRS complexes/R-peaks in an electrocardiogram (ECG) signal is the most important step preceding any kind of ECG processing and analysis. The performance of these systems heavily relies on the accuracy of the QRS detector. The objective of present work is to drive a new robust method based on ... | R-peaks detection based on stationary wavelet transform |
S0169260715001583 | Background and objective Understanding the causes of disagreement among experts in clinical decision making has been a challenge for decades. In particular, a high amount of variability exists in diagnosis of retinopathy of prematurity (ROP), which is a disease affecting low birth weight infants and a major cause of ch... | Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach |
S0169260715001595 | With the aim of controlling drug resistant Plasmodium falciparum, a computational attempt of designing novel adduct antimalarial drugs through the molecular docking method of combining chloroquine with five alkaloids, individually is presented. These alkaloids were obtained from the medicinal plant, Adhatoda vasica. Fr... | In silico attempt for adduct agent(s) against malaria: Combination of chloroquine with alkaloids of Adhatoda vasica |
S0169260715001601 | Taiwan is an area where chronic hepatitis is endemic. Liver cancer is so common that it has been ranked first among cancer mortality rates since the early 1980s in Taiwan. Besides, liver cirrhosis and chronic liver diseases are the sixth or seventh in the causes of death. Therefore, as shown by the active research on h... | A medical cost estimation with fuzzy neural network of acute hepatitis patients in emergency room |
S0169260715001613 | Background Proteomics, the study of proteomes, has been increasingly utilized in a wide variety of biological problems. The Two-Dimensional Gel Electrophoresis (2D-PAGE) technique is a powerful proteomics technique aiming at separation of the complex protein mixtures. Spot detection and segmentation are fundamental com... | 2D-gel spot detection and segmentation based on modified image-aware grow-cut and regional intensity information |
S0169260715001625 | Electrocardiography (ECG) has been recently proposed as biometric trait for identification purposes. Intra-individual variations of ECG might affect identification performance. These variations are mainly due to Heart Rate Variability (HRV). In particular, HRV causes changes in the QT intervals along the ECG waveforms.... | Subject identification via ECG fiducial-based systems: Influence of the type of QT interval correction |
S0169260715001753 | In this paper, we propose a robust semi-autonomous algorithm for 3D vessel segmentation and tracking based on an active contour model and a Kalman filter. For each computed tomography angiography (CTA) slice, we use the active contour model to segment the vessel boundary and the Kalman filter to track position and shap... | Adaptive Kalman snake for semi-autonomous 3D vessel tracking |
S0169260715001765 | Breast cancer is one of the most perilous diseases among women. Breast screening is a method of detecting breast cancer at a very early stage which can reduce the mortality rate. Mammography is a standard method for the early diagnosis of breast cancer. In this paper, a new algorithm is proposed for breast cancer detec... | Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution |
S0169260715001777 | Premature ventricular contraction (PVC) is a common type of abnormal heartbeat. Without early diagnosis and proper treatment, PVC may result in serious harms. Diagnosis of PVC is of great importance in goal-directed treatment and preoperation prognosis. This paper proposes a novel diagnostic method for PVC based on Lya... | Automatic diagnosis of premature ventricular contraction based on Lyapunov exponents and LVQ neural network |
S0169260715001789 | Background “Our lives are connected by a thousand invisible threads and along these sympathetic fibers, our actions run as causes and return to us as results”. It is Herman Melville's famous quote describing connections among human lives. To paraphrase the Melville's quote, diseases are connected by many functional thr... | A literature-driven method to calculate similarities among diseases |
S0169260715001790 | This study applied a simulation method to map the temperature distribution based on magnetic resonance imaging (MRI) of individual patients, and investigated the influence of different pelvic tissue types as well as the choice of thermal property parameters on the efficiency of endorectal cooling balloon (ECB). MR imag... | Investigation of factors affecting hypothermic pelvic tissue cooling using bio-heat simulation based on MRI-segmented anatomic models |
S0169260715001807 | Breast cancer is the most deadly disease affecting women and thus it is natural for women aged 40–49 years (who have a family history of breast cancer or other related cancers) to assess their personal risk for developing familial breast cancer (FBC). Besides, as each individual woman possesses different levels of risk... | A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method |
S0169260715001819 | The paper addresses the issue of non-invasive real-time prediction of hidden inner body temperature variables during therapeutic cooling or heating and proposes a solution that uses computer simulations and machine learning. The proposed approach is applied on a real-world problem in the domain of biomedicine – predict... | Non-invasive real-time prediction of inner knee temperatures during therapeutic cooling |
S0169260715001947 | Heat Shock Proteins (HSPs) are the substantial ingredients for cell growth and viability, which are found in all living organisms. HSPs manage the process of folding and unfolding of proteins, the quality of newly synthesized proteins and protecting cellular homeostatic processes from environmental stress. On the basis... | Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC |
S0169260715001959 | In this study, we proposed a new adaptive method for fusing multiple emotional modalities to improve the performance of the emotion recognition system. Three-channel forehead biosignals along with peripheral physiological measurements (blood volume pressure, skin conductance, and interbeat intervals) were utilized as e... | Reliable emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signals |
S0169260715001960 | This study discussed a computer-aided program development that meets the requirements of people with physical disabilities. A number of control modes, such as electrode signal recorded on the scalp and blink control, were combined with the scanning human–machine interface to improve the external input/output device. Mo... | The designs and applications of a scanning interface with electrical signal detection on the scalp for the severely disabled |
S0169260715001972 | Background and objective Early childhood caries (ECC) is a potentially severe disease affecting children all over the world. The available findings are mostly based on a logistic regression model, but data mining, in particular association rule mining, could be used to extract more information from the same data set. M... | Using association rule mining to identify risk factors for early childhood caries |
S0169260715001984 | In this paper, a new image segmentation method based on Particle Swarm Optimization (PSO) and outlier rejection combined with level set is proposed. A traditional approach to the segmentation of Magnetic Resonance (MR) images is the Fuzzy C-Means (FCM) clustering algorithm. The membership function of this conventional ... | Improved Fuzzy C-Means based Particle Swarm Optimization (PSO) initialization and outlier rejection with level set methods for MR brain image segmentation |
S0169260715001996 | Glaucoma is an optic neuropathy which is one of the main causes of permanent blindness worldwide. This paper presents an automatic image processing based method for detection of glaucoma from the digital fundus images. In this proposed work, the discriminatory parameters of glaucoma infection, such as cup to disc ratio... | An adaptive threshold based image processing technique for improved glaucoma detection and classification |
S0169260715002011 | Background and objective The discrimination of Alzheimer's disease (AD) and its prodromal stage known as mild cognitive impairment (MCI) from normal control (NC) is important for patients’ timely treatment. The simultaneous use of multi-modality data has been demonstrated to be helpful for more accurate identification.... | Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment |
S0169260715002023 | This paper proposes an integrated modelling approach for location planning of radiotherapy treatment services based on cancer incidence and road network-based accessibility. Previous research efforts have established travel distance/time barriers as a key factor affecting access to cancer treatment services, as well as... | An approach to plan and evaluate the location of radiotherapy services and its application in the New South Wales, Australia |
S0169260715002163 | Cardiopulmonary resuscitation (CPR) is a first aid key survival technique used to stimulate breathing and keep blood flowing to the heart. Its effective administration can significantly increase the chances of survival for victims of cardiac arrest. LISSA is a serious game designed to complement CPR teaching and also t... | Using a serious game to complement CPR instruction in a nurse faculty |
S0169260715002175 | The aims of this study are summarized in the following items: first, to investigate the class discrimination power of long-term heart rate variability (HRV) features for risk assessment in patients suffering from congestive heart failure (CHF); second, to introduce the most discriminative features of HRV to discriminat... | Generalized discriminant analysis for congestive heart failure risk assessment based on long-term heart rate variability |
S0169260715002187 | Immunization saves millions of lives against vaccine-preventable diseases. Yet, 24 million children born every year do not receive proper immunization during their first year. UNICEF and WHO have emphasized the need to strengthen the immunization surveillance and monitoring in developing countries to reduce childhood d... | A prototype of a novel cell phone application for tracking the vaccination coverage of children in rural communities |
S0169260715002199 | Setting The infection with Mycobacterium tuberculosis gives a delayed immune response, measured by the tuberculine skin test. We present a new technique for evaluation based on automatic detection and measurement of skin temperature due to infrared emission. Design 34 subjects (46.8±16.9 years) (12/22, M/F) with suspec... | Tuberculine reaction measured by infrared thermography |
S0169260715002205 | The design of a novel non-contact multimedia controller is proposed in this study. Nowadays, multimedia controllers are generally used by patients and nursing assistants in the hospital. Conventional multimedia controllers usually involve in manual operation or other physical movements. However, it is more difficult fo... | Design of novel non-contact multimedia controller for disability by using visual stimulus |
S0169260715002229 | Gait function is traditionally assessed using well-lit, unobstructed walkways with minimal distractions. In patients with subclinical physiological abnormalities, these conditions may not provide enough stress on their ability to adapt to walking. The introduction of challenging walking conditions in gait can induce re... | Assessing interactions among multiple physiological systems during walking outside a laboratory: An Android based gait monitor |
S0169260715002230 | Background and objective Sperm morphology analysis (SMA) is an important factor in the diagnosis of human male infertility. This study presents an automatic algorithm for sperm morphology analysis (to detect malformation) using images of human sperm cells. Methods The SMA method was used to detect and analyze different... | An efficient method for automatic morphological abnormality detection from human sperm images |
S0169260715002242 | Three dimensional reconstruction of lung and vessel tree has great significance to 3D observation and quantitative analysis for lung diseases. This paper presents non-sheltered 3D models of lung and vessel tree based on a supervised semi-3D lung tissues segmentation method. A recursive strategy based on geometric activ... | Supervised recursive segmentation of volumetric CT images for 3D reconstruction of lung and vessel tree |
S0169260715002254 | Objective To survey researchers’ efforts in response to the new and disruptive technology of smartphone medical apps, mapping the research landscape form the literature into a coherent taxonomy, and finding out basic characteristics of this emerging field represented on: motivation of using smartphone apps in medicine ... | The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations |
S0169260715002266 | Breast cancer is the most commonly occurring type of cancer among women, and it is the major cause of female cancer-related deaths worldwide. Its incidence is increasing in developed as well as developing countries. Efficient strategies to reduce the high death rates due to breast cancer include early detection and tum... | Evaluating geodesic active contours in microcalcifications segmentation on mammograms |
S0169260715002278 | Increased heterogeneity of the lung disturbs pulmonary gas exchange. During bronchoconstriction, inflammation of lung parenchyma or acute respiratory distress syndrome, inhomogeneous lung ventilation can become bimodal and increase the risk of ventilator-induced lung injury during mechanical ventilation. A simple index... | Analysis of the method for ventilation heterogeneity assessment using the Otis model and forced oscillations |
S0169260715002291 | Group-independent component analysis (GICA) is a well-established blind source separation technique that has been widely applied to study multi-subject functional magnetic resonance imaging (fMRI) data. The group-independent components (GICs) represent the commonness of all of the subjects in the group. Similar to inde... | A novel fMRI group data analysis method based on data-driven reference extracting from group subjects |
S0169260715002308 | A confocal microscope provides a sequence of images of the corneal layers and structures at different depths from which medical clinicians can extract clinical information on the state of health of the patient's cornea. A hybrid model based on snake and particle swarm optimisation (S-PSO) is proposed in this paper to a... | An efficient intelligent analysis system for confocal corneal endothelium images |
S0169260715002321 | Background and objective Wireless Capsule Endoscopy (WCE) can image the portions of the human gastrointestinal tract that were previously unreachable for conventional endoscopy examinations. A major drawback of this technology is that a large volume of data are to be analyzed in order to detect a disease which can be t... | Computer-aided gastrointestinal hemorrhage detection in wireless capsule endoscopy videos |
S0169260715002333 | Background Drug–drug interactions have long been an active research area in clinical medicine. In Taiwan, however, the widespread use of traditional Chinese medicines (TCM) presents additional complexity to the topic. Therefore, it is important to see the interaction between traditional Chinese and western medicine. Ob... | Interactions between traditional Chinese medicine and western drugs in Taiwan: A population-based study |
S0169260715002345 | Breast ultrasound (BUS) image segmentation is a challenging task due to the speckle noise, poor quality of the ultrasound images and size and location of the breast lesions. In this paper, we propose a new BUS image segmentation algorithm based on neutrosophic similarity score (NSS) and level set algorithm. At first, t... | A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set |
S0169260715002357 | Over the past two decades, the use of telemedicine as a way to provide medical services has grown as communication technologies advance and patients seek more convenient ways to receive care. Because developments within this field are still rapidly evolving, identifying trends within telemedicine literature is an impor... | Trends in the growth of literature of telemedicine: A bibliometric analysis |
S0169260715002369 | The visualization of multiple 3D objects has been increasingly required for recent applications in medical fields. Due to the heterogeneity in data representation or data configuration, it is difficult to efficiently render multiple medical objects in high quality. In this paper, we present a novel intermixing scheme f... | High-quality slab-based intermixing method for fusion rendering of multiple medical objects |
S0169260715002382 | Enhancing 2D angiography while maintaining a low radiation dose has become an important research topic. However, it is difficult to enhance images while preserving vessel-structure details because X-ray noise and contrast blood vessels in 2D angiography have similar intensity distributions, which can lead to ambiguous ... | Low-dose 2D X-ray angiography enhancement using 2-axis PCA for the preservation of blood-vessel region and noise minimization |
S0169260715002394 | Introduction Understanding the basic concepts of physiology and biophysics of cardiac cells can be improved by virtual experiments that illustrate the complex excitation–contraction coupling process in cardiac cells. The aim of this study is to propose a rat cardiac myocyte simulator, with which calcium dynamics in exc... | MioLab, a rat cardiac contractile force simulator: Applications to teaching cardiac cell physiology and biophysics |
S0169260715002400 | Automated fracture detection is an essential part of a computer-aided tele-medicine system. In this paper, we have proposed a unified technique for the detection and evaluation of orthopaedic fractures in long-bone digital X-ray image. We have also developed a software tool that can be conveniently used by paramedics o... | Long-bone fracture detection in digital X-ray images based on digital-geometric techniques |
S0169260715002412 | Breast thermography still has inherent limitations that prevent it from being fully accepted as a breast screening modality in medicine. The main challenges of breast thermography are to reduce false positive results and to increase the sensitivity of a thermogram. Further, it is still difficult to obtain information a... | Potentialities of steady-state and transient thermography in breast tumour depth detection: A numerical study |
S0169260715002424 | The Point of Care (PoC) version of the interoperability standard ISO/IEEE11073 (X73) provided a mechanism to control remotely agents through documents X73-10201 and X73-20301. The newer version of X73 oriented to Personal Health Devices (PHD) has no mechanisms to do such a thing. The authors are working toward a common... | Lessons learned from the implementation of remote control for the interoperability standard ISO/IEEE11073-20601 in a standard weighing scale |
S0169260715002436 | This paper presents an improved wave-based bilateral teleoperation scheme for rehabilitation therapies assisted by robot manipulators. The main feature of this bilateral teleoperator is that both robot manipulators, master and slave, are controlled by impedance. Thus, a pair of motion-based adaptive impedance controlle... | Impedance control in a wave-based teleoperator for rehabilitation motor therapies assisted by robots |
S0169260715002448 | The deposits of fat on the surroundings of the heart are correlated to several health risk factors such as atherosclerosis, carotid stiffness, coronary artery calcification, atrial fibrillation and many others. These deposits vary unrelated to obesity, which reinforces its direct segmentation for further quantification... | A novel approach for the automated segmentation and volume quantification of cardiac fats on computed tomography |
S0169260715002461 | This paper presents an integrated system for the automatic analysis of mammograms to assist radiologists in confirming their diagnosis in mammography screening. The proposed automated confirmatory system (ACS) can process a digitalized mammogram online, and generates a high quality filtered segmentation of an image for... | An automated confirmatory system for analysis of mammograms |
S0169260715002473 | Background and objectives The broad adoption of clinical decision support systems within clinical practice has been hampered mainly by the difficulty in expressing domain knowledge and patient data in a unified formalism. This paper presents a semantic-based approach to the unified representation of healthcare domain k... | Integrating HL7 RIM and ontology for unified knowledge and data representation in clinical decision support systems |
S0169260715002631 | Because of the increased volume of information available to physicians from advanced medical technology, the obtained information of each symptom with respect to a disease may contain truth, falsity and indeterminacy information. Since a single-valued neutrosophic set (SVNS) consists of the three terms like the truth-m... | Multi-period medical diagnosis method using a single valued neutrosophic similarity measure based on tangent function |
S0169260715002643 | Bone drilling is a common procedure in many types of surgeries, including orthopedic, neurological and otologic surgeries. Several technologies and control algorithms have been developed to help the surgeon automatically stop the drill before it goes through the boundary of the tissue being drilled. However, most of th... | Using an admittance algorithm for bone drilling procedures |
S0169260715002655 | It is desirable to reduce the excessive radiation exposure to patients in repeated medical CT applications. One of the most effective ways is to reduce the X-ray tube current (mAs) or tube voltage (kVp). However, it is difficult to achieve accurate reconstruction from the noisy measurements. Compared with the conventio... | Low-dose CT statistical iterative reconstruction via modified MRF regularization |
S0169260715002667 | Background and objective This study proposes an infrastructure with a reporting workflow optimization algorithm (RWOA) in order to interconnect facilities, reporting units and radiologists on a single access interface, to increase the efficiency of the reporting process by decreasing the medical report turnaround time ... | A novel approach to optimize workflow in grid-based teleradiology applications |
S0169260715002679 | Cataract is defined as a lenticular opacity presenting usually with poor visual acuity. It is one of the most common causes of visual impairment worldwide. Early diagnosis demands the expertise of trained healthcare professionals, which may present a barrier to early intervention due to underlying costs. To date, studi... | Exploiting ensemble learning for automatic cataract detection and grading |
S0169260715002680 | Despite the widespread use of cardiotocography in foetal monitoring, the evaluation of foetal status suffers from a considerable inter and intra-observer variability. In order to overcome the main limitations of visual cardiotocographic assessment, computerised methods to analyse cardiotocographic recordings have been ... | Software for computerised analysis of cardiotocographic traces |
S0169260715002692 | Background Accurate segmentation of human head on medical images is an important process in a wide array of applications such as diagnosis, facial surgery planning, prosthesis design, and forensic identification. Objectives In this study, a Bayesian method for segmentation of facial tissues is presented. Segmentation c... | Bayesian segmentation of human facial tissue using 3D MR-CT information fusion, resolution enhancement and partial volume modelling |
S0169260715002709 | Glaucoma is a disease of the retina which is one of the most common causes of permanent blindness worldwide. This paper presents an automatic image processing based method for glaucoma diagnosis from the digital fundus image. In this paper wavelet feature extraction has been followed by optimized genetic feature select... | Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image |
S0169260715002710 | Eye blinks are one of the most influential artifact sources in electroencephalogram (EEG) recorded from frontal channels, and thereby detecting and rejecting eye blink artifacts is regarded as an essential procedure for improving the quality of EEG data. In this paper, a novel method to detect eye blink artifacts from ... | Detection of eye blink artifacts from single prefrontal channel electroencephalogram |
S0169260715002722 | This paper presents a tool for automatic assessment of skeletal bone age according to a modified version of the Tanner and Whitehouse (TW2) clinical method. The tool is able to provide an accurate bone age assessment in the range 0–6 years by processing epiphysial/metaphysial ROIs with image-processing techniques, and ... | Modeling skeletal bone development with hidden Markov models |
S0169260715002734 | To facilitate the performance comparison of new methods for sleep patterns analysis, datasets with quality content, publicly-available, are very important and useful. We introduce an open-access comprehensive sleep dataset, called ISRUC-Sleep. The data were obtained from human adults, including healthy subjects, subjec... | ISRUC-Sleep: A comprehensive public dataset for sleep researchers |
S0169260715002746 | Background and objective Probabilistic topic models provide an unsupervised method for analyzing unstructured text. These models discover semantically coherent combinations of words (topics) that could be integrated in a clinical automatic summarization system for primary care physicians performing chart review. Howeve... | Evaluating topic model interpretability from a primary care physician perspective |
S0169260715002758 | Anatomical cine cardiovascular magnetic resonance (CMR) imaging is widely used to assess the systolic cardiac function because of its high soft tissue contrast. Assessment of diastolic LV function has not regularly been performed due the complex and time consuming procedures. This study presents a semi-automated assess... | Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences |
S0169260715002783 | In this paper, we present the dfcomb R package for the implementation of a single prospective clinical trial or simulation studies of phase I combination trials in oncology. The aim is to present the features of the package and to illustrate how to use it in practice though different examples. The use of combination cl... | dfcomb: An R-package for phase I/II trials of drug combinations |
S0169260715002795 | Although direct volume rendering (DVR) has become a commodity, effective rendering of interesting features is still a challenge. In one of active DVR application fields, the medicine, radiologists have used DVR for the diagnosis of lesions or diseases that should be visualized distinguishably from other surrounding ana... | Stenosis map for volume visualization of constricted tubular structures: Application to coronary artery stenosis |
S0169260715002953 | Current telehealth services are dominated by conventional 2D video conferencing systems, which are limited in their capabilities in providing a satisfactory communication experience due to the lack of realism. The “immersiveness” provided by 3D technologies has the potential to promote telehealth services to a wider ra... | A cross-platform solution for light field based 3D telemedicine |
S0169260715002965 | Today, smart mobile devices (telephones and tablets) are very commonly used due to their powerful hardware and useful features. According to an eMarketer report, in 2014 there were 1.76 billion smartphone users (excluding users of tablets) in the world; it is predicted that this number will rise by 15.9% to 2.04 billio... | Development of a wireless blood pressure measuring device with smart mobile device |
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