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https://www.readbyqxmd.com/read/28327099/differential-cytokine-profiling-in-chagasic-patients-according-to-their-arrhythmogenic-status
#1
Héctor Rodríguez-Angulo, Juan Marques, Ivan Mendoza, Marco Villegas, Alfredo Mijares, Núria Gironès, Manuel Fresno
BACKGROUND: Chagas disease is caused by the protozoan Trypanosoma cruzi and is characterized by heart failure and sudden death. Identifying which factors are involved in evolution and treatment response is actually challenging. Thus, the aim of this work was to determine the Th1/Th17 (IL-6, IL-2, TNF, IL-17 and IFN-γ) and Th2 (IL-4 and IL-10) serum profile in Venezuelan Chagasic patients stratified according amiodarone treatment, hypertension and arrhythmias. METHODS: Sera from 38 chagasic patients were analyzed to determine the level of cytokines by Multiplexed Bead-Based Immunoassays...
March 21, 2017: BMC Infectious Diseases
https://www.readbyqxmd.com/read/28325033/user-intent-prediction-with-a-scaled-conjugate-gradient-trained-artificial-neural-network-for-lower-limb-amputees-using-a-powered-prosthesis
#2
Richard B Woodward, John A Spanias, Levi J Hargrove
Powered lower limb prostheses have the ability to provide greater mobility for amputee patients. Such prostheses often have pre-programmed modes which can allow activities such as climbing stairs and descending ramps, something which many amputees struggle with when using non-powered limbs. Previous literature has shown how pattern classification can allow seamless transitions between modes with a high accuracy and without any user interaction. Although accurate, training and testing each subject with their own dependent data is time consuming...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325032/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#3
Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor
The fundamental objective in non-invasive myoelectric prosthesis control is to determine the user's intended movements from corresponding skin-surface recorded electromyographic (sEMG) activation signals as quickly and accurately as possible. Linear Discriminant Analysis (LDA) has emerged as the de facto standard for real-time movement classification due to its ease of use, calculation speed, and remarkable classification accuracy under controlled training conditions. However, performance of cluster-based methods like LDA for sEMG pattern recognition degrades significantly when real-world testing conditions do not resemble the trained conditions, limiting the utility of myoelectrically controlled prosthesis devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28323989/preconception-low-dose-aspirin-restores-diminished-pregnancy-and-live-birth-rates-in-women-with-low-grade-inflammation-a-secondary-analysis-of-a-randomized-trial
#4
Lindsey A Sjaarda, Rose G Radin, Robert M Silver, Emily Mitchell, Sunni L Mumford, Brian Wilcox, Noya Galai, Neil J Perkins, Jean Wactawski-Wende, Joseph B Stanford, Enrique F Schisterman
Context: Inflammation is linked to causes of infertility. Low dose aspirin (LDA) may improve reproductive success in women with chronic, low-grade inflammation. Objective: To investigate the effect of preconception-initiated LDA on pregnancy rate, pregnancy loss, live birth rate, and inflammation during pregnancy. Design: Stratified secondary analysis of a multi-center, block-randomized, double-blind, placebo-controlled trial. Setting: Four U...
February 3, 2017: Journal of Clinical Endocrinology and Metabolism
https://www.readbyqxmd.com/read/28320652/spectral-learning-for-supervised-topic-models
#5
Yong Ren, Yining Wang, Jun Zhu
Supervised topic models simultaneously model the latent topic structure of large collections of documents and a response variable associated with each document. Existing inference methods are based on variational approximation or Monte Carlo sampling, which often suffers from the local minimum defect. Spectral methods have been applied to learn unsupervised topic models, such as latent Dirichlet allocation (LDA), with provable guarantees. This paper investigates the possibility of applying spectral methods to recover the parameters of supervised LDA (sLDA)...
March 15, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28316136/is-floral-morphology-a-good-predictor-of-floral-visitors-to-antirrhineae-snapdragons-and-relatives
#6
Beatriz Guzmán, José María Gómez, Pablo Vargas
The association between plants and flower visitors has been historically proposed as a main factor driving the evolutionary change of both flower and pollinator phenotypes. The considerable diversity in floral morphology within the tribe Antirrhineae has been traditionally related to pollinator types. We used empirical data on the flower visitors from 59 Antirrhineae taxa from the literature and our own field surveys, which provide an opportunity to test whether flower phenotypes are reliable predictors of visitors and pollinator niches (i...
March 17, 2017: Plant Biology
https://www.readbyqxmd.com/read/28290138/rare-earth-elements-distribution-in-grapevine-varieties-grown-on-volcanic-soils-an-example-from-mount-etna-sicily-italy
#7
Carmelisa D'Antone, Rosalda Punturo, Carmela Vaccaro
A geochemical and statistical approach has allowed identifying in rare earth elements (REEs) absorption a good fingerprinting mark for determining the territoriality and the provenance of Vitis vinifera L. in the district of Mount Etna (southern Italy). Our aim is to define the REEs distribution in different parts of the plants which grow in the same volcanic soil and under the same climate conditions, and therefore to assess whether REEs distribution may reflect the composition of the provenance soil or if plants can selectively absorb REEs in order to recognize the fingerprint in the Etna Volcano soils as well as the REEs pattern characteristic of each cultivar of V...
April 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28288755/anthelmintic-activity-of-plant-extracts-from-brazilian-savanna
#8
Andreia F Oliveira, Livio M Costa Junior, Aldilene S Lima, Carolina R Silva, Maria N S Ribeiro, José W C Mesquista, Cláudia Q Rocha, Marcelo M P Tangerina, Wagner Vilegas
Helminth infections represent a serious problem for the production of small ruminants that is currently aggravated by resistance to anthelmintic products and has induced a search for control alternatives, such as natural products. In this study, extracts of Turnera ulmifolia L. (leaves and roots), Parkia platycephala Benth. (leaves and seeds) and Dimorphandra gardneriana Tul. (leaves and bark), which have been cited in ethnoveterinary studies and selected naturally by goats in the cerrado (Brazilian savanna), were tested in vitro against Haemonchus contortus...
March 15, 2017: Veterinary Parasitology
https://www.readbyqxmd.com/read/28288682/low-disease-activity-for-up-to-3%C3%A2-years-after-adalimumab-discontinuation-in-patients-with-early-rheumatoid-arthritis-2-year-results-of-the-hopeful-3-study
#9
Yoshiya Tanaka, Hisashi Yamanaka, Naoki Ishiguro, Nobuyuki Miyasaka, Katsuyoshi Kawana, Junko Kimura, Naoki Agata, Tsutomu Takeuchi
BACKGROUND: This study was conducted to evaluate the feasibility of long-term adalimumab (ADA) discontinuation after achievement of low disease activity (LDA) in Japanese patients with early rheumatoid arthritis (RA) and to identify predictors of LDA maintenance. METHODS: In the HOPEFUL-1 study, patients received initial therapy with either ADA plus methotrexate (MTX; intensive therapy) or MTX alone (standard therapy) for 26 weeks, followed by ADA + MTX for 26 weeks...
March 14, 2017: Arthritis Research & Therapy
https://www.readbyqxmd.com/read/28286237/retrospectively-supervised-click-decoder-calibration-for-self-calibrating-point-and-click-brain-computer-interfaces
#10
Beata Jarosiewicz, Anish A Sarma, Jad Saab, Brian Franco, Sydney S Cash, Emad N Eskandar, Leigh R Hochberg
Brain-computer interfaces (BCIs) aim to restore independence to people with severe motor disabilities by allowing control of acursor on a computer screen or other effectors with neural activity. However, physiological and/or recording-related nonstationarities in neural signals can limit long-term decoding stability, and it would be tedious for users to pause use of the BCI whenever neural control degrades to perform decoder recalibration routines. We recently demonstrated that a kinematic decoder (i.e. a decoder that controls cursor movement) can be recalibrated using data acquired during practical point-and-click control of the BCI by retrospectively inferring users' intended movement directions based on their subsequent selections...
March 8, 2017: Journal of Physiology, Paris
https://www.readbyqxmd.com/read/28276694/artemisia-umbelliformis-lam-and-g%C3%A3-n%C3%A3-pi-liqueur-volatile-profile-as-a-diagnostic-marker-for-geographic-origin-and-liqueur-safety-prediction
#11
Lorenzo Boggia, Giuseppe Pignata, Barbara Sgorbini, Maria Laura Colombo, Arianna Marengo, Manuela Casale, Silvana Nicola, Carlo Bicchi, Patrizia Rubiolo
A. umbelliformis, commonly known as "white génépi", is characterized by a volatile fraction rich in - and β- thujone, two monoterpenoids; under EU regulations these are limited to 35 mg/L in Artemisia-based beverages , because of their recognized activity on human central nervous system. This study reports the results of an investigation to define the geographical origin and thujone content of individual plants of A. umbelliformis from different geographical sites, cultivated experimentally at a single site, and to predict the thujone content in the resulting liqueurs, through their volatile fraction...
March 9, 2017: Journal of Agricultural and Food Chemistry
https://www.readbyqxmd.com/read/28269667/a-fast-approximation-method-for-principal-component-analysis-applied-to-ecg-derived-respiration-for-osa-detection
#12
Nadi Sadr, Philip de Chazal
In this paper, we present an approximation method for principal component analysis (PCA) and apply it to estimating the respiration from the overnight ECG signal. The approximation method is computationally fast with low memory requirements. We compare it to a full PCA method which is applied to segments of the ECG. Features were calculated from the two ECG derived respiration signals (EDR) and classifiers trained to detect obstructive sleep apnoea (OSA). The Extreme Learning Machine and Linear Discriminant classifier were used to classify the recordings...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269452/predicting-brain-stimulation-treatment-outcomes-of-depressed-patients-through-the-classification-of-eeg-oscillations
#13
Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra
Major depressive disorder (MDD) is a mental disorder that is characterized by negative thoughts, mood and behavior. Transcranial direct current stimulation (tDCS) has recently emerged as a promising brain-stimulation treatment for MDD. A standard tDCS treatment involves numerous sessions that run over a few weeks, however, not all participants respond to this type of treatment. This study aims to predict which patients improve in mood and cognition in response to tDCS treatment by analyzing electroencephalography (EEG) of MDD patients that was collected at the start of tDCS treatment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269374/detection-of-chewing-from-piezoelectric-film-sensor-signals-using-ensemble-classifiers
#14
Muhammad Farooq, Edward Sazonov
Selection and use of pattern recognition algorithms is application dependent. In this work, we explored the use of several ensembles of weak classifiers to classify signals captured from a wearable sensor system to detect food intake based on chewing. Three sensor signals (Piezoelectric sensor, accelerometer, and hand to mouth gesture) were collected from 12 subjects in free-living conditions for 24 hrs. Sensor signals were divided into 10 seconds epochs and for each epoch combination of time and frequency domain features were computed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269306/fmg-based-body-motion-registration-using-piezoelectret-sensors
#15
Xiangxin Li, Qifang Zhuo, Xu Zhang, Oluwarotimi Williams Samuel, Zeyang Xia, Xiaoqing Zhang, Peng Fang, Guanglin Li
Body motion registration can provide plenty of muscle activity information of human beings, which is applicable in the control of human-computer interfaces or real devices. Forcemyography (FMG) is a method to register real-time body motions by measuring the radially directed force distributions that are generated by muscle contractions. In this work, we recorded FMG maps by using a novel type of sensor, the polymer-based piezoelectrets. With five piezoelectret sensor units attached on the surface of thigh muscles, four basic lower-limb motions, leg-raising, leg-dropping, knee-extension, and knee-flexion, were properly captured on four able-bodied subjects...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269294/linear-discriminant-analysis-for-symmetric-lifting-recognition-of-skilled-logistic-experts-by-center-of-pressure-trajectory
#16
Hieyong Jeong, Michiko Kido, Yuko Ohno
GOAL: The main purpose of the present study was to propose a recognizing method to analyze characteristics of symmetric lifting of skilled logistic experts by center of pressure (CoP) trajectories. Although it has been known that good posture helps reduce the intradiscal loads on lumbar discs, the most significant problem was that most of logistic workers did not know whether the current posture was proper or not. METHODS: The experiment of lifting was performed three times under 18 kg loads with closed eyes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269227/evaluation-of-periodic-breathing-in-respiratory-flow-signal-of-elderly-patients-using-svm-and-linear-discriminant-analysis
#17
Sara Argerich, Sergio Herrera, Salvador Benito, Beatriz F Giraldo
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The periodic modulation of the amplitude of the breathing pattern is proved to be one of the multiple symptoms of an acute episode, and thus, the features extracted from its characterization contribute in the improvement of the first diagnosis of the clinical practice...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269165/principal-component-analysis-of-the-shape-deformations-of-the-hippocampus-in-alzheimer-s-disease
#18
Xiaoying Tang, Jiong Wu
In this paper, we present the principal component analysis (PCA) of shape deformations of bilateral hippocampi in Alzheimer's disease (AD) as derived in the large deformation diffeomorphic metric mapping setting. We investigated the PCA patterns (the scores and loadings) of the bilateral hippocampi for 51 subjects, 28 of which had AD while 23 were normal aging. Student's t-tests were used to select the components displaying significant group difference for a more purposed analysis. Our findings revealed that the head part of the hippocampus in each hemisphere, to be specific the CA1 and subiculum subregions, contributed the most to the significant group differences...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268625/detecting-voluntary-gait-intention-of-chronic-stroke-patients-towards-top-down-gait-rehabilitation-using-eeg
#19
Junhyuk Choi, Hyolim Kang, Sang Hun Chung, Yeonghun Kim, Ung Hee Lee, Jong Min Lee, Seung-Jong Kim, Min Ho Chun, Hyungmin Kim
One of the recent trends in gait rehabilitation is to incorporate bio-signals, such as electromyography (EMG) or electroencephalography (EEG), for facilitating neuroplasticity, i.e. top-down approach. In this study, we investigated decoding stroke patients' gait intention through a wireless EEG system. To overcome patient-specific EEG patterns due to impaired cerebral cortices, common spatial patterns (CSP) was employed. We demonstrated that CSP filter can be used to maximize the EEG signal variance-ratio of gait and standing conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268495/seizure-detection-using-dynamic-warping-for-patients-with-intellectual-disability
#20
Lei Wang, Johan B A M Arends, Xi Long, Yan Wu, Pierre J M Cluitmans
Electroencephalography (EEG) is paramount for both retrospective analysis and real-time monitoring of epileptic seizures. Studies have shown that EEG-based seizure detection is very difficult for a specific epileptic population with intellectual disability due to the cerebral development disorders. In this work, a seizure detection method based on dynamic warping (DW) is proposed for patients with intellectual disability. It uses an EEG template of an individual subject's dominant seizure type, to extract the morphological features from EEG signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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