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https://www.readbyqxmd.com/read/28104550/robust-estimation-of-carotid-artery-wall-motion-using-the-elasticity-based-state-space-approach
#1
Zhifan Gao, Huahua Xiong, Xin Liu, Heye Zhang, Dhanjoo Ghista, Wanqing Wu, Shuo Li
The dynamics of the carotid artery wall has been recognized as a valuable indicator to evaluate the status of atherosclerotic disease in the preclinical stage. However, it is still a challenge to accurately measure this dynamics from ultrasound images. This paper aims at developing an elasticity-based state-space approach for accurately measuring the two-dimensional motion of the carotid artery wall from the ultrasound imaging sequences. In our approach, we have employed a linear elasticity model of the carotid artery wall, and converted it into the state space equation...
January 10, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28099159/reducing-false-arrhythmia-alarm-rates-using-robust-heart-rate-estimation-and-cost-sensitive-support-vector-machines
#2
Qiang Zhang, Xianxiang Chen, Zhen Fang, Qingyuan Zhan, Ting Yang, Shanhong Xia
To lessen the rate of false critical arrhythmia alarms, we used robust heart rate estimation and cost-sensitive support vector machines. The PhysioNet MIMIC II database and the 2015 PhysioNet/CinC Challenge public database were used as the training dataset; the 2015 Challenge hidden dataset was for testing. Each record had an alarm labeled with asystole, extreme bradycardia, extreme tachycardia, ventricular tachycardia or ventricular flutter/fibrillation. Before alarm onsets, 300 s multimodal data was provided, including electrocardiogram, arterial blood pressure and/or photoplethysmogram...
January 18, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28098829/rapid-transfer-alignment-of-mems-sins-based-on-adaptive-incremental-kalman-filter
#3
Hairong Chu, Tingting Sun, Baiqiang Zhang, Hongwei Zhang, Yang Chen
In airborne MEMS SINS transfer alignment, the error of MEMS IMU is highly environment-dependent and the parameters of the system model are also uncertain, which may lead to large error and bad convergence of the Kalman filter. In order to solve this problem, an improved adaptive incremental Kalman filter (AIKF) algorithm is proposed. First, the model of SINS transfer alignment is defined based on the "Velocity and Attitude" matching method. Then the detailed algorithm progress of AIKF and its recurrence formulas are presented...
January 14, 2017: Sensors
https://www.readbyqxmd.com/read/28095403/a-likelihood-approach-for-real-time-calibration-of-stochastic-compartmental-epidemic-models
#4
Christoph Zimmer, Reza Yaesoubi, Ted Cohen
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. In this manuscript, we describe a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method, Multiple Shooting for Stochastic systems (MSS), applies a linear noise approximation to describe the size of the fluctuations, and uses each new surveillance observation to update the belief about the true epidemic state...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28092564/static-vs-dynamic-decoding-algorithms-in-a-non-invasive-body-machine-interface
#5
Ismael Seanez-Gonzalez, Camilla Pierella, Ali Farshchiansadegh, Elias Barry Thorp, Farnaz Abdollahi, Jessica P Pedersen, Ferdinando A Mussa-Ivaldi
In this study, we consider a non-invasive bodymachine interface that captures body motions still available to people with spinal cord injury (SCI) and maps them into a set of signals for controlling a computer user interface while engaging in a sustained level of mobility and exercise. We compare the effectiveness of two decoding algorithms that transform a highdimensional body-signal vector into a lower dimensional control vector on 6 subjects with high-level SCI and 8 controls. One algorithm is based on a static map from current body signals to the current value of the control vector set through principal component analysis (PCA), the other on dynamic mapping a segment of body signals to the value and the temporal derivatives of the control vector set through a Kalman filter...
December 15, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28089454/the-role-of-adenosine-challenge-in-catheter-ablation-for-atrial-fibrillation-a-systematic-review-and-meta-analysis
#6
Alex J A McLellan, Saurabh Kumar, Catherine Smith, Liang-Han Ling, Sandeep Prabhu, Jonathan M Kalman, Peter M Kistler
AIMS: Adenosine may unmask dormant PV conduction and facilitate consolidation of PV isolation. We performed a meta-analysis to determine the impact of adenosine administration on clinical outcomes in patients undergoing PVI. METHODS: References and electronic databases reporting AF ablation and adenosine following PVI were searched through to 22nd November 2015. The impact of adenosine on freedom from AF was assessed in twenty publications after radiofrequency ablation (RFA), and in four publications after cryoablation to achieve PVI...
January 8, 2017: International Journal of Cardiology
https://www.readbyqxmd.com/read/28079030/neuromusculoskeletal-model-self-calibration-for-on-line-sequential-bayesian-moment-estimation
#7
Diana Ruiz Bueno, Luis Montano
OBJECTIVE: Neuromusculoskeletal models involve many subject-specific physiological parameters that need to be adjusted to adequately represent muscle properties. Traditionally, neuromusculoskeletal models have been calibrated with a forward-inverse dynamic optimization which is time-consuming and unfeasible for rehabilitation therapy. Non self-calibration algorithms have been applied to these models. To the best of our knowledge, the algorithm proposed in this work is the first on-line calibration algorithm for muscle models that allows a generic model to be adjusted to different subjects in a few steps...
January 12, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28077762/inverse-problems-in-reduced-order-models-of-cardiovascular-haemodynamics-aspects-of-data-assimilation-and-heart-rate-variability
#8
Sanjay Pant, Chiara Corsini, Catriona Baker, Tain-Yen Hsia, Giancarlo Pennati, Irene E Vignon-Clementel
Inverse problems in cardiovascular modelling have become increasingly important to assess each patient individually. These problems entail estimation of patient-specific model parameters from uncertain measurements acquired in the clinic. In recent years, the method of data assimilation, especially the unscented Kalman filter, has gained popularity to address computational efficiency and uncertainty consideration in such problems. This work highlights and presents solutions to several challenges of this method pertinent to models of cardiovascular haemodynamics...
January 2017: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/28070140/phase-specific-raman-analysis-of-n-alkane-melting-by-moving-window-two-dimensional-correlation-spectroscopy
#9
Ying Jin, Anthony P Kotula, Angela R Hight Walker, Kalman B Migler, Young Jong Lee
We use moving-window two-dimensional correlation spectroscopy (MW-2DCOS) for phase-specific Raman analysis of the n-alkane (C21H44) during melting from the crystalline solid phase to the intermediate rotator phase and to the amorphous molten phase. In MW-2DCOS, individual peak-to-peak correlation analysis within a small subset of spectra provides both temperature-resolved and spectrally disentangled Raman assignments conducive to understanding phase-specific molecular interactions and chain configurations. We demonstrate that autocorrelation MW-2DCOS can determine the phase transition temperatures with a higher resolving power than commonly-used analysis methods including individual peak intensity analysis or principal component analysis...
November 2016: Journal of Raman Spectroscopy: JRS
https://www.readbyqxmd.com/read/28069162/a-constrained-extended-kalman-filter-for-the-optimal-estimate-of-kinematics-and-kinetics-of-a-sagittal-symmetric-exercise
#10
V Bonnet, R Dumas, A Cappozzo, V Joukov, G Daune, D Kulić, P Fraisse, S Andary, G Venture
This paper presents a method for real-time estimation of the kinematics and kinetics of a human body performing a sagittal symmetric motor task, which would minimize the impact of the stereophotogrammetric soft tissue artefacts (STA). The method is based on a bi-dimensional mechanical model of the locomotor apparatus the state variables of which (joint angles, velocities and accelerations, and the segments lengths and inertial parameters) are estimated by a constrained extended Kalman filter (CEKF) that fuses input information made of both stereophotogrammetric and dynamometric measurement data...
December 29, 2016: Journal of Biomechanics
https://www.readbyqxmd.com/read/28067814/two-uav-intersection-localization-system-based-on-the-airborne-optoelectronic-platform
#11
Guanbing Bai, Jinghong Liu, Yueming Song, Yujia Zuo
To address the limitation of the existing UAV (unmanned aerial vehicles) photoelectric localization method used for moving objects, this paper proposes an improved two-UAV intersection localization system based on airborne optoelectronic platforms by using the crossed-angle localization method of photoelectric theodolites for reference. This paper introduces the makeup and operating principle of intersection localization system, creates auxiliary coordinate systems, transforms the LOS (line of sight, from the UAV to the target) vectors into homogeneous coordinates, and establishes a two-UAV intersection localization model...
January 6, 2017: Sensors
https://www.readbyqxmd.com/read/28067800/multiple-drosophila-tracking-system-with-heading-direction
#12
Pudith Sirigrivatanawong, Shogo Arai, Vladimiros Thoma, Koichi Hashimoto
Machine vision systems have been widely used for image analysis, especially that which is beyond human ability. In biology, studies of behavior help scientists to understand the relationship between sensory stimuli and animal responses. This typically requires the analysis and quantification of animal locomotion. In our work, we focus on the analysis of the locomotion of the fruit fly D r o s o p h i l a m e l a n o g a s t e r , a widely used model organism in biological research. Our system consists of two components: fly detection and tracking...
January 5, 2017: Sensors
https://www.readbyqxmd.com/read/28066974/hydrogen-mobility-and-protein-water-interaction-in-proteins-of-solid-state
#13
Kalman Tompa, Monika Bokor, Dorina Ágner, Dávid Iván, Denes Kovacs, Tamas Verebélyi, Peter Tompa
In this work we lay the groundwork of characterizing the mobility of hydrogen-hydrogen pairs (proton-proton radial vectors) in proteins in the solid state that contains only residual water. In this novel approach we introduce new ways of analyzing and interpreting data, by: i) representing hydrogen mobility (HM) and melting diagram (MD) data recorded by wide-line 1H-NMR as a function of fundamental temperature (thermal excitation energy); ii) suggesting novel mode of interpretation of these parameters that sheds light on details of protein-water interaction such as the exact amount of water molecules and the distribution of barrier potentials pertaining to their rotational and surface translational mobility; iii) relying on directly determined physical observables...
January 8, 2017: Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry
https://www.readbyqxmd.com/read/28065938/efficient-implementation-of-a-real-time-estimation-system-for-thalamocortical-hidden-parkinsonian-properties
#14
Shuangming Yang, Bin Deng, Jiang Wang, Huiyan Li, Chen Liu, Chris Fietkiewicz, Kenneth A Loparo
Real-time estimation of dynamical characteristics of thalamocortical cells, such as dynamics of ion channels and membrane potentials, is useful and essential in the study of the thalamus in Parkinsonian state. However, measuring the dynamical properties of ion channels is extremely challenging experimentally and even impossible in clinical applications. This paper presents and evaluates a real-time estimation system for thalamocortical hidden properties. For the sake of efficiency, we use a field programmable gate array for strictly hardware-based computation and algorithm optimization...
January 9, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28059260/effective-star-tracking-method-based-on-optical-flow-analysis-for-star-trackers
#15
Ting Sun, Fei Xing, Xiaochu Wang, Jin Li, Minsong Wei, Zheng You
Benefiting from rapid development of imaging sensor technology, modern optical technology, and a high-speed computing chip, the star tracker's accuracy, dynamic performance, and update rate have been greatly improved with low power consumption and miniature size. The star tracker is currently one of the most competitive attitude measurement sensors. However, due to restrictions of the optical imaging system, difficulties still exist in moving star spot detection and star tracking when in special motion conditions...
December 20, 2016: Applied Optics
https://www.readbyqxmd.com/read/28052043/particle-tracking-for-the-assessment-of-microcirculatory-perfusion
#16
Michele Sorelli, Can Ince, Leonardo Bocchi
In recent years the development of portable microscopes, which enable the noninvasive bedside evaluation of the sublingual microcirculation in critically ill patients, has expanded the clinical research on this level of the cardiovascular system. Several semi-quantitative scores have been defined in order to provide researchers with a standardized framework for the offline assessment of the microcirculation status. Among those, space-time diagrams (STDs) constitute an established method for obtaining an estimate of the red blood cells (RBCs) flow velocity in capillaries...
January 4, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28046419/su-d-bra-04-computerized-framework-for-marker-less-localization-of-anatomical-feature-points-in-range-images-based-on-differential-geometry-features-for-image-guided-radiation-therapy
#17
M Soufi, H Arimura, K Nakamura, T Hirose, Y Umezu, Y Shioyama, F Toyofuku
PURPOSE: To propose a computerized framework for localization of anatomical feature points on the patient surface in infrared-ray based range images by using differential geometry (curvature) features. METHODS: The general concept was to reconstruct the patient surface by using a mathematical modeling technique for the computation of differential geometry features that characterize the local shapes of the patient surfaces. A region of interest (ROI) was firstly extracted based on a template matching technique applied on amplitude (grayscale) images...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28041999/occurrence-and-first-molecular-characterization-of-sarcocystis-spp-in-wild-boars-sus-scrofa-and-domestic-pigs-sus-scrofa-domesticus-in-romania-public-health-significance-of-the-isolates
#18
Kálmán Imre, Claudia Sala, Adriana Morar, Mirela Imre, Cătălin Ciontu, Ion Chisăliță, Andreea Dudu, Marius Matei, Gheorghe Dărăbuș
Domestic and wild pigs, as intermediate hosts, can harbor tissue cysts of three Sarcocystis species namely S. miescheriana, S. suihominis and S. porcifelis. Out of them, S. suihominis is zoonotic. Romania is a country with high consumption of raw and/or undercooked traditional pork products. This fact may greatly favor the acquiring of the zoonotic Sarcocystis infections by humans, as definitive host. Based on this consideration and in order to investigate the occurrence and public health significance of Sarcocystis spp...
December 29, 2016: Acta Tropica
https://www.readbyqxmd.com/read/28039283/perceiving-the-imperceptible-in-atrial-macro-reentry-ultrahigh-resolution-mapping-to-characterize-the-critical-isthmus
#19
EDITORIAL
Bhupesh Pathik, Jonathan M Kalman
No abstract text is available yet for this article.
January 2017: Circulation. Arrhythmia and Electrophysiology
https://www.readbyqxmd.com/read/28025524/a-multi-sensor-fusion-mav-state-estimation-from-long-range-stereo-imu-gps-and-barometric-sensors
#20
Yu Song, Stephen Nuske, Sebastian Scherer
State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autonomous obstacle avoidance, robust flight control and 3D environmental mapping. There are three main challenges for MAV state estimation: (1) it can deal with aggressive 6 DOF (Degree Of Freedom) motion; (2) it should be robust to intermittent GPS (Global Positioning System) (even GPS-denied) situations; (3) it should work well both for low- and high-altitude flight. In this paper, we present a state estimation technique by fusing long-range stereo visual odometry, GPS, barometric and IMU (Inertial Measurement Unit) measurements...
December 22, 2016: Sensors
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