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https://www.readbyqxmd.com/read/28448498/personalized-glucose-forecasting-for-type-2-diabetes-using-data-assimilation
#1
David J Albers, Matthew Levine, Bruce Gluckman, Henry Ginsberg, George Hripcsak, Lena Mamykina
Type 2 diabetes leads to premature death and reduced quality of life for 8% of Americans. Nutrition management is critical to maintaining glycemic control, yet it is difficult to achieve due to the high individual differences in glycemic response to nutrition. Anticipating glycemic impact of different meals can be challenging not only for individuals with diabetes, but also for expert diabetes educators. Personalized computational models that can accurately forecast an impact of a given meal on an individual's blood glucose levels can serve as the engine for a new generation of decision support tools for individuals with diabetes...
April 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28448470/auxiliary-truncated-unscented-kalman-filtering-for-bearings-only-maneuvering-target-tracking
#2
Liang-Qun Li, Xiao-Li Wang, Zong-Xiang Liu, Wei-Xin Xie
Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuvering target tracking in this paper. In the proposed algorithm, to deal with arbitrary changes in motion models, a modified prior probability density function (PDF) is derived based on some auxiliary target characteristics and current measurements. Then, the modified prior PDF is approximated as a Gaussian density by using the statistical linear regression (SLR) to estimate the mean and covariance. In order to track bearings-only maneuvering target, the posterior PDF is jointly estimated based on the prior probability density function and the modified prior probability density function, and a practical algorithm is developed...
April 27, 2017: Sensors
https://www.readbyqxmd.com/read/28445508/error-model-of-geomagnetic-field-measurement-and-extended-kalman-filter-based-compensation-method
#3
Zhilei Ge, Suyun Liu, Guopeng Li, Yan Huang, Yanni Wang
The real-time accurate measurement of the geomagnetic-field is the foundation to achieving high-precision geomagnetic navigation. The existing geomagnetic-field measurement models are essentially simplified models that cannot accurately describe the sources of measurement error. This paper, on the basis of systematically analyzing the source of geomagnetic-field measurement error, built a complete measurement model, into which the previously unconsidered geomagnetic daily variation field was introduced. This paper proposed an extended Kalman-filter based compensation method, which allows a large amount of measurement data to be used in estimating parameters to obtain the optimal solution in the sense of statistics...
2017: PloS One
https://www.readbyqxmd.com/read/28445421/an-improved-ble-indoor-localization-with-kalman-based-fusion-an-experimental-study
#4
Jenny Röbesaat, Peilin Zhang, Mohamed Abdelaal, Oliver Theel
Indoor positioning has grasped great attention in recent years. A number of efforts have been exerted to achieve high positioning accuracy. However, there exists no technology that proves its efficacy in various situations. In this paper, we propose a novel positioning method based on fusing trilateration and dead reckoning. We employ Kalman filtering as a position fusion algorithm. Moreover, we adopt an Android device with Bluetooth Low Energy modules as the communication platform to avoid excessive energy consumption and to improve the stability of the received signal strength...
April 26, 2017: Sensors
https://www.readbyqxmd.com/read/28445417/ins-gnss-integration-for-aerobatic-flight-applications-and-aircraft-motion-surveying
#5
Edgar L V Hinüber, Christian Reimer, Tim Schneider, Michael Stock
This paper presents field tests of challenging flight applications obtained with a new family of lightweight low-power INS/GNSS (inertial navigation system/global satellite navigation system) solutions based on MEMS (micro-electro-mechanical- sensor) machined sensors, being used for UAV (unmanned aerial vehicle) navigation and control as well as for aircraft motion dynamics analysis and trajectory surveying. One key is a 42+ state extended Kalman-filter-based powerful data fusion, which also allows the estimation and correction of parameters that are typically affected by sensor aging, especially when applying MEMS-based inertial sensors, and which is not yet deeply considered in the literature...
April 26, 2017: Sensors
https://www.readbyqxmd.com/read/28442988/adiponectin-receptors-are-less-sensitive-to-stress-in-a-transgenic-mouse-model-of-alzheimer-s-disease
#6
Zoltán P Várhelyi, János Kálmán, Zita Oláh, Eszter V Ivitz, Eszter K Fodor, Miklós Sántha, Zsolt L Datki, Magdolna Pákáski
Background: Adiponectin and leptin are implicated in the initiation and pathomechanism of Alzheimer's disease (AD). The serum concentrations of these adipokines has been extensively studied in AD, however little is known about their receptors in this disease. Objective: We developed a novel approach to examine whether the receptors of adiponectin (AdipoR1 and -R2) and/or leptin (LepR) can contribute to AD pathomechanism. To achieve this, we investigated the effect of both genetic and environmental factors associated with AD on the expression of these receptors...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28436881/modulating-lateral-geniculate-nucleus-neuronal-firing-for-visual-prostheses-a-kalman-filter-based-strategy
#7
Amr Jawwad, Hossam H Abolfotuh, Bassem Abdullah, Hani M K Mahdi, Seif Eldawlatly
Developing visual prostheses that target inner brain structures along the visual pathway represent a new hope for patients with completely damaged early visual pathway sites. One of the major challenges in the development of subcortical and cortical visual prostheses is tuning electrical stimulation that could optimally induce desired visual percepts. In this paper, we propose a Kalman filter-based strategy that could be used to identify electrical stimulation patterns that mimic a specific visual input for thalamic visual prostheses...
April 17, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28436072/real-time-individualization-of-the-unified-model-of-performance
#8
Jianbo Liu, Sridhar Ramakrishnan, Srinivas Laxminarayan, Thomas J Balkin, Jaques Reifman
Existing mathematical models for predicting neurobehavioural performance are not suited for mobile computing platforms because they cannot adapt model parameters automatically in real time to reflect individual differences in the effects of sleep loss. We used an extended Kalman filter to develop a computationally efficient algorithm that continually adapts the parameters of the recently developed Unified Model of Performance (UMP) to an individual. The algorithm accomplishes this in real time as new performance data for the individual become available...
April 24, 2017: Journal of Sleep Research
https://www.readbyqxmd.com/read/28434446/revisiting-pulmonary-vein-isolation-alone-for-persistent-atrial-fibrillation-a-systematic-review-and-meta-analysis
#9
Aleksandr Voskoboinik, Jeremy T Moskovitch, Nadav Harel, Prashanthan Sanders, Peter M Kistler, Jonathan M Kalman
BACKGROUND: Early studies demonstrated relatively low success rates for pulmonary vein isolation (PVI) alone in patients with persistent atrial fibrillation (PeAF). However, the advent of new technologies and the observation that additional substrate ablation does not improve outcomes have created a new focus on PVI alone for treatment of PeAF. OBJECTIVE: The purpose of this study was to systematically review the recent medical literature to determine current medium-term outcomes when a PVI-only approach is used for PeAF...
May 2017: Heart Rhythm: the Official Journal of the Heart Rhythm Society
https://www.readbyqxmd.com/read/28434243/-clinical-and-neuropathological-characteristics-of-dementia-with-lewy-bodies
#10
János Bencze, Viktória Simon, Erika Bereczki, Réka Majer, Gréta Varkoly, Balázs Murnyák, János Kálmán, Tibor Hortobágyi
Dementia with Lewy bodies (DLB) is the second most common neurodegenerative dementia. The accurate diagnosis is often possible only by neuropathological examination. The morphologic hallmarks are the presence of α-synuclein-rich Lewy bodies and Lewy neurites, identical to those seen in Parkinson's disease (PD) and Parkinson's disease dementia (PDD). Neurotransmitter deficits, synaptic and ubiquitin-proteasome system (UPS) dysfunction play major role in the pathomechanism. Characteristic symptoms are cognitive fluctuation, parkinsonism and visual hallucinations...
April 2017: Orvosi Hetilap
https://www.readbyqxmd.com/read/28433503/mr-fingerprinting-reconstruction-with-kalman-filter
#11
Xiaodi Zhang, Zechen Zhou, Shiyang Chen, Shuo Chen, Rui Li, Xiaoping Hu
Magnetic resonance fingerprinting (MR fingerprinting or MRF) is a newly introduced quantitative magnetic resonance imaging technique, which enables simultaneous multi-parameter mapping in a single acquisition with improved time efficiency. The current MRF reconstruction method is based on dictionary matching, which may be limited by the discrete and finite nature of the dictionary and the computational cost associated with dictionary construction, storage and matching. In this paper, we describe a reconstruction method based on Kalman filter for MRF, which avoids the use of dictionary to obtain continuous MR parameter measurements...
April 19, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28422660/weak-classifier-for-density-estimation-in-eye-localization-and-tracking
#12
Gabriel M Araujo, Felipe M L Ribeiro, Waldir S Junior, Eduardo A B da Silva, Siome K Goldenstein
In this work, we propose a fast weak classifier that can detect and track eyes in video sequences. The approach relies on a least-squares detector based on the Inner Product Detector (IPD) that can estimate a probability density distribution for a feature's location - which fits naturally with a Bayesian estimation cycle, such as a Kalman or particle filter. As a leastsquares sliding window detector, it possesses tolerance to small variations in the desired pattern while maintaining good generalization capabilities and computational efficiency...
April 13, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28420214/multi-mode-estimation-for-small-fixed-wing-unmanned-aerial-vehicle-localization-based-on-a-linear-matrix-inequality-approach
#13
Mostafa Elzoghby, Fu Li, Ibrahim I Arafa, Usman Arif
Information fusion from multiple sensors ensures the accuracy and robustness of a navigation system, especially in the absence of global positioning system (GPS) data which gets degraded in many cases. A way to deal with multi-mode estimation for a small fixed wing unmanned aerial vehicle (UAV) localization framework is proposed, which depends on utilizing a Luenberger observer-based linear matrix inequality (LMI) approach. The proposed estimation technique relies on the interaction between multiple measurement modes and a continuous observer...
April 18, 2017: Sensors
https://www.readbyqxmd.com/read/28420134/visual-detection-and-tracking-system-for-a-spherical-amphibious-robot
#14
Shuxiang Guo, Shaowu Pan, Liwei Shi, Ping Guo, Yanlin He, Kun Tang
With the goal of supporting close-range observation tasks of a spherical amphibious robot, such as ecological observations and intelligent surveillance, a moving target detection and tracking system was designed and implemented in this study. Given the restrictions presented by the amphibious environment and the small-sized spherical amphibious robot, an industrial camera and vision algorithms using adaptive appearance models were adopted to construct the proposed system. To handle the problem of light scattering and absorption in the underwater environment, the multi-scale retinex with color restoration algorithm was used for image enhancement...
April 15, 2017: Sensors
https://www.readbyqxmd.com/read/28416525/treatment-of-patients-with-atrial-fibrillation-and-heart-failure-with-reduced-ejection-fraction
#15
REVIEW
Atul Verma, Jonathan M Kalman, David J Callans
Atrial fibrillation (AF) and heart failure with reduced ejection fraction (HFrEF) frequently coexist, and each complicates the course and treatment of the other. Recent population-based studies have demonstrated that the 2 conditions together increase the risk of stroke, heart failure hospitalization, and all-cause mortality, especially soon after the clinical onset of AF. Guideline-directed pharmacological therapy for HFrEF is important; however, although there are various treatment modalities for AF, there is no clear consensus on how best to treat AF with concomitant HFrEF...
April 18, 2017: Circulation
https://www.readbyqxmd.com/read/28414454/novel-soil-profile-sensing-to-monitor-organic-c-stocks-and-condition
#16
Raphael A Viscarra Rossel, Craig R Lobsey, Chris Sharman, Paul Flick, Gordon McLachlan
Soil information is needed for environmental monitoring to address current concerns over food, water and energy securities, land degradation and climate change. We developed the {\sc Soil Condition ANalyses System (SCANS)} to help address these needs. It integrates an automated soil core sensing system (CSS) with statistical analytics and modelling to enable the characterisation of soil at fine depth resolutions and across landscapes. The CSS's sensors include a gamma-ray densitometer to measure bulk density, digital cameras to image the measured soil and a visible--near infrared (vis--NIR) spectrometer to measure iron oxides and clay mineralogy...
April 17, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28413690/a-dynamic-model-for-gps-based-attitude-determination-and-testing-using-a-serial-robotic-manipulator
#17
Almat Raskaliyev, Sarosh Patel, Tarek Sobh
A computational algorithm is developed for estimating accurately the attitude of a robotic arm which moves along a predetermined path. This algorithm requires preliminary input data obtained in the static mode to yield phase observables for the precise, 3-axis attitude determination of a swinging manipulator in the dynamic mode. Measurements are recorded simultaneously by three GPS L1 receivers and then processed in several steps to accomplish this task. First, artkconv batch executable converts GPS receiver readings into RINEX format to generate GPS observables and ephemeris for multiple satellites...
July 2017: Journal of Advanced Research
https://www.readbyqxmd.com/read/28409497/identification-of-myoelectric-signals-of-pregnant-rat-uterus-new-method-to-detect-myometrial-contraction
#18
Kálmán F Szűcs, György Grosz, Miklós Süle, Anikó Nagy, Zita Tiszai, Reza Samavati, Róbert Gáspár
AIM: To develop an electromyography method for pregnant rat uterus in vivo and to separate myometrial signals from the gastrointestinal tract signals. METHODS: Pregnant Sprague-Dawley rats (n=8) were anaesthetized and their stomach, small intestine, and large intestine were removed from the abdomen. A pair of thread electrodes was inserted into the uterus, while a pair of disk electrodes was placed subcutaneously above the myometrium. Additionally, a strain gauge sensor was fixed on the surface of the myometrium and cecum for the parallel detection of mechanical contractions in rats (n=18) with intact gastrointestinal tract...
April 14, 2017: Croatian Medical Journal
https://www.readbyqxmd.com/read/28399351/experience-of-czech-children-with-alcohol-consumption-in-relation-to-selected-family-indicators
#19
Lenka Hodačová, Jindra Šmejkalová, Eva Čermáková, Michal Kalman
OBJECTIVE: The aim of this study is to monitor and analyze the influence of chosen family indicators related to alcohol consumption and experience of drunkenness in a representative sample of Czech children. METHODS: Data for our work were obtained from the Health Behaviour in School Aged Children (HBSC) study - a World Health Organization (WHO) cross national study. The sample consisted of 4,293 children aged 11, 13 and 15 years. Data collection was conducted in June 2010 in 88 randomly selected schools in the Czech Republic using standardized questionnaires...
March 2017: Central European Journal of Public Health
https://www.readbyqxmd.com/read/28398224/inertial-sensor-based-robust-gait-analysis-in-non-hospital-settings-for-neurological-disorders
#20
Can Tunca, Nezihe Pehlivan, Nağme Ak, Bert Arnrich, Gülüstü Salur, Cem Ersoy
The gold standards for gait analysis are instrumented walkways and marker-based motion capture systems, which require costly infrastructure and are only available in hospitals and specialized gait clinics. Even though the completeness and the accuracy of these systems are unquestionable, a mobile and pervasive gait analysis alternative suitable for non-hospital settings is a clinical necessity. Using inertial sensors for gait analysis has been well explored in the literature with promising results. However, the majority of the existing work does not consider realistic conditions where data collection and sensor placement imperfections are imminent...
April 11, 2017: Sensors
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