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Computers in Biology and Medicine

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https://www.readbyqxmd.com/read/29161578/probabilistic-pharmacokinetic-models-of-decompression-sickness-in-humans-part-2-coupled-perfusion-diffusion-models
#1
F Gregory Murphy, Ethan A Hada, David J Doolette, Laurens E Howle
Decompression sickness (DCS) can be experienced following a reduction in ambient pressure; such as that associated with diving or ascent to high altitudes. DCS is believed to result when supersaturated inert gas dissolved in biological tissues exits solution and forms bubbles. Models to predict the probability of DCS are typically based on nitrogen and/or helium gas uptake and washout in several theoretical tissues, each represented by a single perfusion-limited compartment. It has been previously shown that coupled perfusion-diffusion compartments are better descriptors than solely perfusion-based models of nitrogen and helium uptake and elimination kinetics observed in the brain and skeletal muscle of sheep...
November 15, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29154123/3d-skeletonization-feature-based-computer-aided-detection-system-for-pulmonary-nodules-in-ct-datasets
#2
Weihang Zhang, Xue Wang, Xuanping Li, Junfeng Chen
Pulmonary nodule detection has a significant impact on early diagnosis of lung cancer. To effectively detect pulmonary nodules from interferential vessels in chest CT datasets, this paper proposes a novel 3D skeletonization feature, named as voxels remove rate. Based on this feature, a computer-aided detection system is constructed to validate its performance. The system mainly consists of five stages. Firstly, the lung tissues are segmented by a global optimal active contour model, which can extract all structures (including juxta-pleural nodules) in the lung region...
November 11, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29156412/a-system-level-mathematical-model-of-basal-ganglia-motor-circuit-for-kinematic-planning-of-arm-movements
#3
Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh, Christian Darlot
In this paper, a novel system-level mathematical model of the Basal Ganglia (BG) for kinematic planning, is proposed. An arm composed of several segments presents a geometric redundancy. Thus, selecting one trajectory among an infinite number of possible ones requires overcoming redundancy, according to some kinds of optimization. Solving this optimization is assumed to be the function of BG in planning. In the proposed model, first, a mathematical solution of kinematic planning is proposed for movements of a redundant arm in a plane, based on minimizing energy consumption...
November 10, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29150090/graph-based-representation-of-behavior-in-detection-and-prediction-of-daily-living-activities
#4
Piotr Augustyniak, Grażyna Ślusarczyk
Various surveillance systems capture signs of human activities of daily living (ADLs) and store multimodal information as time line behavioral records. In this paper, we present a novel approach to the analysis of a behavioral record used in a surveillance system designed for use in elderly smart homes. The description of a subject's activity is first decomposed into elementary poses - easily detectable by dedicated intelligent sensors - and represented by the share coefficients. Then, the activity is represented in the form of an attributed graph, where nodes correspond to elementary poses...
November 10, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29150091/prediction-of-menarcheal-status-of-girls-using-voice-features
#5
Marcin D Bugdol, Monika N Bugdol, Anna M Lipowicz, Andrzej W Mitas, Maria J Bienkowska, Agata M Wijata
A method for evaluating the menarcheal status of girls on the basis of their voice features is presented in the paper. The registration procedure consists of voice recording and measuring 20 anthropological features. The input feature vector is a combination of voice and anthropometric parameters, counting 220 features. The optimal set of parameters was selected using five different methods: Method A - stepwise regression (first forward, then backward regression) performed on features with statistically different means/medians; Method B - stepwise regression (forward and backward) on all features, with age; Method C - stepwise regression as in B; including age, Method D - all features with statistically different means/medians, Method E - all features excluding age...
November 8, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29145044/image-processing-for-precise-three-dimensional-registration-and-stitching-of-thick-high-resolution-laser-scanning-microscopy-image-stacks
#6
Chloé Murtin, Carole Frindel, David Rousseau, Kei Ito
The possible depth of imaging of laser-scanning microscopy is limited not only by the working distances of objective lenses but also by image degradation caused by attenuation and diffraction of light passing through the specimen. To tackle this problem, one can either flip the sample to record images from both sides of the specimen or consecutively cut off shallow parts of the sample after taking serial images of certain thickness. Multiple image substacks acquired in these ways should be combined afterwards to generate a single stack...
November 8, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29127902/a-survey-of-machine-learning-applications-in-hiv-clinical-research-and-care
#7
REVIEW
Kuteesa R Bisaso, Godwin T Anguzu, Susan A Karungi, Agnes Kiragga, Barbara Castelnuovo
A wealth of genetic, demographic, clinical and biomarker data is collected from routine clinical care of HIV patients and exists in the form of medical records available among the medical care and research communities. Machine learning (ML) methods have the ability to identify and discover patterns in complex datasets and predict future outcomes of HIV treatment. We survey published studies that make use of ML techniques in HIV clinical research and care. An advanced search relevant to the use of ML in HIV research was conducted in the PubMed biomedical database...
November 8, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29157726/adaptive-and-technology-independent-architecture-for-fault-tolerant-distributed-aal-solutions
#8
Michael Schmidt, Roman Obermaisser
Today's architectures for Ambient Assisted Living (AAL) must cope with a variety of challenges like flawless sensor integration and time synchronization (e.g. for sensor data fusion) while abstracting from the underlying technologies at the same time. Furthermore, an architecture for AAL must be capable to manage distributed application scenarios in order to support elderly people in all situations of their everyday life. This encompasses not just life at home but in particular the mobility of elderly people (e...
November 6, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29149658/evaluating-casama-contextualized-semantic-maps-for-summarization-of-lung-cancer-studies
#9
Jean I Garcia-Gathright, Nicholas J Matiasz, Carlos Adame, Karthik V Sarma, Lauren Sauer, Nova F Smedley, Marshall L Spiegel, Jennifer Strunck, Edward B Garon, Ricky K Taira, Denise R Aberle, Alex A T Bui
OBJECTIVE: It is crucial for clinicians to stay up to date on current literature in order to apply recent evidence to clinical decision making. Automatic summarization systems can help clinicians quickly view an aggregated summary of literature on a topic. Casama, a representation and summarization system based on "contextualized semantic maps," captures the findings of biomedical studies as well as the contexts associated with patient population and study design. This paper presents a user-oriented evaluation of Casama in comparison to a context-free representation, SemRep...
November 3, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29127903/causes-of-ehr-projects-stalling-or-failing-a-study-of-ehr-projects-in-saudi-arabia
#10
Bakheet Aldosari
BACKGROUND: Electronic Medical Records (EMRs) are designed to automatically collect, store, and retrieve patients' information from healthcare providers within an organization. They assist clinicians in deciding the future course of treatment. The primary objective of this study is to investigate the practices of Electronic Health Record (EHR) project managers regarding the causes of EHR projects getting stalled or failing in Saudi Arabia. METHODS: Three focus groups were identified across three main cities of Saudi Arabia, namely Riyadh, Jeddah, and Dammam during the years 2013 and 2014...
November 3, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29102826/a-motion-tolerant-approach-for-monitoring-spo2-and-heart-rate-using-photoplethysmography-signal-with-dual-frame-length-processing-and-multi-classifier-fusion
#11
Feiyi Fan, Yuepeng Yan, Yongzhong Tang, Hao Zhang
Monitoring pulse oxygen saturation (SpO2) and heart rate (HR) using photoplethysmography (PPG) signal contaminated by a motion artifact (MA) remains a difficult problem, especially when the oximeter is not equipped with a 3-axis accelerometer for adaptive noise cancellation. In this paper, we report a pioneering investigation on the impact of altering the frame length of Molgedey and Schuster independent component analysis (ICAMS) on performance, design a multi-classifier fusion strategy for selecting the PPG correlated signal component, and propose a novel approach to extract SpO2 and HR readings from PPG signal contaminated by strong MA interference...
November 2, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29132014/a-genetic-algorithm-for-simulating-correlated-binary-data-from-biomedical-research
#12
Jochen Kruppa, Bernd Lepenies, Klaus Jung
Correlated binary data arise in a large variety of biomedical research. In order to evaluate methods for their analysis, computer simulations of such data are often required. Existing methods can often not cover the full range of possible correlations between the variables or are not available as implemented software. We propose a genetic algorithm that approaches the desired correlation structure under a given marginal distribution. The procedure generates a large representative matrix from which the probabilities of individual observations can be derived or from which samples can be drawn directly...
October 31, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29121541/development-of-a-reinforcement-learning-based-evolutionary-fuzzy-rule-based-system-for-diabetes-diagnosis
#13
Fatemeh Mansourypoor, Shahrokh Asadi
The early diagnosis of disease is critical to preventing the occurrence of severe complications. Diabetes is a serious health problem. A variety of methods have been developed for diagnosing diabetes. The majority of these methods have been developed in a black-box manner, which cannot be used to explain the inference and diagnosis procedure. Therefore, it is essential to develop methods with high accuracy and interpretability. In this study, a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System (RLEFRBS) is developed for diabetes diagnosis...
October 31, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29102825/a-hybrid-method-for-3d-mosaicing-of-oct-images-of-macula-and-optic-nerve-head
#14
Alieh Ahdi, Hossein Rabbani, Alireza Vard
A mosaiced image is the result of merging two or more images with overlapping area in order to generate a high resolution panorama of a large scene. A wide view of Optical Coherence Tomography (OCT) images can help clinicians in diagnosis by enabling simultaneous analysis of different portions of the gathered information. In this paper, we present a novel method for mosaicing of 3D OCT images of macula and Optic Nerve Head (ONH) that is carried out in two phases; registration of OCT projections and mosaicing of B-scans...
October 31, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29100116/deciphering-unclassified-tumors-of-non-small-cell-lung-cancer-through-radiomics
#15
Maliazurina Saad, Tae-Sun Choi
BACKGROUND: Tumors are highly heterogeneous at the phenotypic, physiologic, and genomic levels. They are categorized in terms of a differentiated appearance under a microscope. Non-small-cell lung cancer tumors are categorized into three main subgroups: adenocarcinoma, squamous cell carcinoma, and large cell carcinoma. In approximately 20% of pathology reports, they are returned unclassified or classified as not-otherwise-specified (NOS) owing to scant materials or poor tumor differentiation...
October 31, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29101794/double-temporal-sparsity-based-accelerated-reconstruction-of-compressively-sensed-resting-state-fmri
#16
Priya Aggarwal, Anubha Gupta
A number of reconstruction methods have been proposed recently for accelerated functional Magnetic Resonance Imaging (fMRI) data collection. However, existing methods suffer with the challenge of greater artifacts at high acceleration factors. This paper addresses the issue of accelerating fMRI collection via undersampled k-space measurements combined with the proposed method based on l(1)-l(1) norm constraints, wherein we impose first l(1)-norm sparsity on the voxel time series (temporal data) in the transformed domain and the second l(1)-norm sparsity on the successive difference of the same temporal data...
October 29, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29126580/codebook-based-electrooculography-data-analysis-towards-cognitive-activity-recognition
#17
P Lagodzinski, K Shirahama, M Grzegorzek
With the advancement in mobile/wearable technology, people started to use a variety of sensing devices to track their daily activities as well as health and fitness conditions in order to improve the quality of life. This work addresses an idea of eye movement analysis, which due to the strong correlation with cognitive tasks can be successfully utilized in activity recognition. Eye movements are recorded using an electrooculographic (EOG) system built into the frames of glasses, which can be worn more unobtrusively and comfortably than other devices...
October 28, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29102824/short-lag-spatial-coherence-combined-with-eigenspace-based-minimum-variance-beamformer-for-synthetic-aperture-ultrasound-imaging
#18
Yuanguo Wang, Chichao Zheng, Hu Peng, Xun Chen
Recently, short-lag spatial coherence (SLSC) imaging has been widely studied to improve image contrast and contrast-to-noise ratio (CNR) in ultrasound imaging. Nevertheless, SLSC is unable to provide a good imaging resolution. Eigenspace-based minimum variance (ESBMV) beamformer was previously devised to promote imaging resolution, while enhancing imaging contrast. However, ESBMV will cause black-spot artifact problem under a high threshold of eigenvalues. Given their complementary properties, in this study, we propose an imaging method with synthetic aperture (SA) ultrasound imaging by combining SLSC weighting (SLSCw) and ESBMV, to improve imaging quality at all depth...
October 28, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29121540/computer-aided-diagnosis-of-diabetic-foot-using-infrared-thermography-a-review
#19
Muhammad Adam, Eddie Y K Ng, Jen Hong Tan, Marabelle L Heng, Jasper W K Tong, U Rajendra Acharya
Diabetes mellitus (DM) is a chronic metabolic disorder that requires regular medical care to prevent severe complications. The elevated blood glucose level affects the eyes, blood vessels, nerves, heart, and kidneys after the onset. The affected blood vessels (usually due to atherosclerosis) may lead to insufficient blood circulation particularly in the lower extremities and nerve damage (neuropathy), which can result in serious foot complications. Hence, an early detection and treatment can prevent foot complications such as ulcerations and amputations...
October 26, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29100117/csp-tsm-optimizing-the-performance-of-riemannian-tangent-space-mapping-using-common-spatial-pattern-for-mi-bci
#20
Shiu Kumar, Kabir Mamun, Alok Sharma
BACKGROUND: Classification of electroencephalography (EEG) signals for motor imagery based brain computer interface (MI-BCI) is an exigent task and common spatial pattern (CSP) has been extensively explored for this purpose. In this work, we focused on developing a new framework for classification of EEG signals for MI-BCI. METHOD: We propose a single band CSP framework for MI-BCI that utilizes the concept of tangent space mapping (TSM) in the manifold of covariance matrices...
October 24, 2017: Computers in Biology and Medicine
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