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Stationary Signal

Nicole Zahradka, In Cheol Jeong, Peter C Searson
OBJECTIVE: To characterize and classify six positions and movements for individuals in a bed using the output signals of four load cell sensors. APPROACH: A bed equipped with four load cell sensors and synchronized video was used to assess the load cell response of 54 healthy individuals in prescribed positions and as they moved between positions. Stationary positions were characterized by the signals from the four load cells and the coordinates of the center of mass (CoM)...
December 3, 2018: Physiological Measurement
Young Ho Lee, Ivan Marsic
We present an object motion detection system using backscattered signal strength of passive UHF RFID tags as a sensor for providing information on the movement and identity of work objects-important cues for activity recognition. For using the signal strength for accurate detection of object movement we propose a novel Markov model with continuous observations, RSSI preprocessor, frame-based data segmentation, and motion-transition finder. We use the change of backscattered signal strength caused by tag's relocation to reliably detect movement of tagged objects...
November 2018: Sensing and Bio-Sensing Research
Neta Felsenthal, Sarah Rubin, Tomer Stern, Sharon Krief, Deepanwita Pal, Brian A Pryce, Ronen Schweitzer, Elazar Zelzer
Tendon-bone attachment sites, called entheses, are essential for musculoskeletal function. They are formed embryonically by Sox9 + progenitors and continue to develop postnatally utilizing Gli1 lineage cells. Despite their importance, we lack information on the transition from embryonic to mature enthesis and on the relation between Sox9 + progenitors and Gli1 lineage. Here, by performing a series of lineage tracing experiments, we identify the onset of Gli1 lineage contribution to different entheses. We show that Gli1 expression is regulated embryonically by SHH signaling, whereas postnatally it is maintained by IHH signaling...
November 30, 2018: Development
Yu Kang, Xiaoxue Wu, Quan Chen, Xiangling Ji, Shuqin Bo, Yonggang Liu
Both fully (98%) and partially (88%) hydrolyzed poly(vinyl alcohol) (PVA) are characterized by aqueous gel permeation chromatography (GPC) coupled with multi-angle laser light scattering. Polymer adsorption on hydrophilic GPC columns is observed for partially hydrolyzed PVA but not for fully hydrolyzed PVA, which is driven by the hydrophobic interactions between the residual acetate groups on PVA and the stationary phase. Desorption of these partially hydrolyzed PVA chains from the packing materials is monitored by decay of the light scattering signal...
November 23, 2018: Journal of Chromatography. A
Raymond J Acciavatti, Andrew D A Maidment
PURPOSE: One limitation of experimental techniques for quantifying resolution and noise in detectors is that the measurement is made in a region-of-interest (ROI). With theoretical modeling, these properties can be measured at a point, allowing for quantification of spatial anisotropy. This paper calculates non-stationary transfer functions for amorphous selenium (a-Se) detectors in breast imaging. We use this model to demonstrate the performance advantage of a "next-generation" tomosynthesis (NGT) system, which is capable of x-ray source motion with more degrees of freedom than a clinical tomosynthesis system...
November 28, 2018: Medical Physics
An Ngoc Nguyen, Elena Disconzi, Guillaume M Charrière, Delphine Destoumieux-Garzón, Philippe Bouloc, Frédérique Le Roux, Annick Jacq
CsrBs are bacterial highly conserved and multiple-copy noncoding small RNAs (sRNAs) that play major roles in cell physiology and virulence. In the Vibrio genus, they are known to be regulated by the two-component system VarS/VarA. They modulate the well-characterized quorum sensing pathway controlling virulence and luminescence in Vibrio cholerae and Vibrio harveyi , respectively. Remarkably, Vibrio tasmaniensis LGP32, an oyster pathogen that belongs to the Splendidus clade, was found to have four copies of csrB , named csrB1-4 , compared to two to three copies in other Vibrio species...
November 28, 2018: MSphere
Chaolin Teng, Yao Cheng, Chao Wang, Yijing Ren, Weiyong Xu, Jin Xu
Differences of EEG synchronization between normal old and young people during a working memory (WM) task were investigated. The synchronization likelihood (SL) is a novel method to assessed synchronization in multivariate time series for non-stationary systems. To evaluate this method to study the mechanisms of WM, we calculated the SL values in brain electrical activity for both resting state and task state. EEG signals were recorded from 14 young adults and 12 old adults during two different states, respectively...
December 2018: Cognitive Neurodynamics
Yu-Lin Bai, Yu-Si Liu, Chao Ma, Kai-Xue Wang, Jie-Sheng Chen
Sodium-ion batteries (SIBs) are generally considered as promising cheap alternatives of lithium-ion batteries for stationary renewable energy storage and have received increasing attention in recent years. The exploration of anode materials with efficient electron transportation is essential for improving the performance of SIBs. Inspired by the signal transfer mode of a neuron, we designed a composite by stringing MoS2 nanoflower (soma) with multiwall carbon nanotubes (MWCNTs) (axons). High-resolution TEM observation reveals a lattice matching growth mechanism of MoS2 nanosheets on the interface of MWCNTs and the lattice expansion of the (002) plane of MoS2 ...
November 27, 2018: ACS Nano
C A S Dunning, M Bazalova-Carter
Pencil beam x-ray fluorescence computed tomography (XFCT) has typically used a single spectrometer and prohibitively long scan times. However, detecting backscattered fluorescent x-rays from gold nanoparticles (AuNPs) using multiple spectrometers greatly reduces image noise and scan time. The arrangement of eight spectrometers for combined K-shell and L-shell XFCT was investigated along with a variety of conditions. A 2.5 cm-diameter cylindrical water phantom containing 4 mm-diameter vials with 0.1%-2% AuNP concentrations by weight was modeled by TOPAS, a GEANT4-based Monte Carlo software...
November 26, 2018: Physics in Medicine and Biology
Farzaneh Mohammadi, Faezeh Ghanati, Mohsen Sharifi, Najmeh Ahmadian Chashmi
One of the main sites of the magnetic fields influence on living cells is the cell cycle. The intensity of this influence however, varies depending on the cell type and the duration of the treatment. Suspension of cultured tobacco cells (Nicotiana tabacum cv. Barley 21) were synchronized via sucrose starvation at their stationary growth phase. The cells were then exposed to 0.2 m T SMF up to 24 h. The progression of different cell cycle phases was monitored through flow cytometry in a time course manner...
December 2018: Plant Science: An International Journal of Experimental Plant Biology
Magdalena Zych, Ian Rankin, Donal Holland, Giacomo Severini
Motor adaptations are useful for studying the way in which the lower limbs are controlled by the brain. However, motor adaptation paradigms for the lower limbs are typically based on locomotion tasks, where the necessity of maintaining postural stability is the main driver of adaptation and could possibly mask other underlying processes. In this study we investigated whether small temporal or spatial asymmetries can trigger motor adaptations during stationary cycling, where stability is not directly compromised...
November 21, 2018: Journal of Neurophysiology
Matthias Hoenen, Katrin T Lübke, Bettina M Pause
Reduction of mu activity within the EEG is an indicator of cognitive empathy and can be generated in response to visual depictions of others in pain. The current study tested whether this brain response can be modulated by an auditory and a chemosensory context. Participants observed pictures of painful and non-painful actions while pain associated and neutral exclamations were presented (Study 1, N = 30) or while chemosensory stimuli were presented via a constant flow olfactometer (Study 2, N = 22). Chemosensory stimuli were sampled on cotton pads while donors participated in a simulated job interview (stress condition) or cycled on a stationary bike (sport condition)...
2018: Frontiers in Behavioral Neuroscience
Alex K Vaskov, Zachary T Irwin, Samuel R Nason, Philip P Vu, Chrono S Nu, Autumn J Bullard, Mackenna Hill, Naia North, Parag G Patil, Cynthia A Chestek
Objective: To date, many brain-machine interface (BMI) studies have developed decoding algorithms for neuroprostheses that provide users with precise control of upper arm reaches with some limited grasping capabilities. However, comparatively few have focused on quantifying the performance of precise finger control. Here we expand upon this work by investigating online control of individual finger groups. Approach: We have developed a novel training manipulandum for non-human primate (NHP) studies to isolate the movements of two specific finger groups: index and middle-ring-pinkie (MRP) fingers...
2018: Frontiers in Neuroscience
Che Lin Kim, Gyun Min Lee
A Chinese hamster ovary (CHO) cell line producing recombinant human bone morphogenetic protein-4 (rhBMP-4) (CHO-BMP-4), which expresses essential components of BMP signal transduction, underwent autocrine BMP-4 signaling. RNA seq analysis on CHO host cells (DG44) treated with rhBMP-4 (20 µg/mL) suggested that rhBMP-4 induced signaling in CHO cells could be a critical factor in limiting rhBMP-4 production and should be removed to improve rhBMP-4 production in recombinant CHO (rCHO) cells. The inhibition of autocrine BMP signaling in CHO-BMP-4 cells by the addition of LDN-193189, a chemical inhibitor of BMP receptor type I, significantly increased the mRNA expression levels of rhBMP-4...
November 14, 2018: Metabolic Engineering
V Catrambone, A Greco, M Nardelli, S Ghiasi, N Vanello, E P Scilingo, G Valenza
We propose a novel modelling framework to study non-stationary, directional brain-heart interplay in a time varying fashion. Considering electroencephalographic (EEG) signals and Heart Rate Variability (HRV) series as inputs, a new multivariate formulation is derived from proper coupling functions linking cortical electrical activity and heartbeat dynamics generation models. These neural-autonomic coupling rules are formalised according to the current knowledge on the central autonomic network and fully parametrised in adaptive coefficients quantifying the information outflow from-brain-to- heart as well as from-heart-to-brain...
July 2018: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Lutz Leistritz, Carolin Ligges
In the present study we propose a data-driven, fully unsupervised denoising approach for multi-trial univariate signals. The proposed methodology is based on Empirical Mode Decomposition (EMD) and hence also applicable for transient or non-stationary signals. The rationale of the presented method is that different realizations (multiple trials) of the same underlying process have also similar intrinsic signal components. These components may be extracted by EMD for each single realization and finally, the entirety of all signal components forms clusters of corresponding components with similar spectral characteristics...
July 2018: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Nandakumar Selvaraj, Gabriel Nallathambi, Paul Kettle
Validation of biosensor algorithms is paramount for regulated medical devices applied to patient monitoring. We present validation of breathing rate (BR) measurement using a patch medical device via a novel synthetic simulation platform, in-hospital data collection and controlled laboratory study. Single-lead ECG and triaxial body acceleration signals with variability and noise are synthetically generated and quantized for a constellation according to the input parameters of heart rate (HR) as a fundamental frequency $( f_{c})$ of ECG and reference BR as a modulating frequency $( f_{r})$...
July 2018: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Waseem Abbas, Nadeem Ahmad Khan
Use of Motor Imagery in EEG signals is gaining importance to develop Brain Computer Interface (BCI) applications in various fields ranging from bio-medical to entertainment. Filter Bank Common Spatial Pattern (FBCSP) algorithm is a promising feature extraction technique to deal with subject-specific behavior in Motor Imagery classification. Using FBCSP on EEG we have developed an accurate but less computationally expensive approach by making use of Time Domain Parameters (TDP) and Band Power (BP) features to form a combined feature set...
July 2018: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Yeganeh M Marghi, Paula Gonzalez-Navarro, Bahar Azari, Deniz Erdogmus
Electroencephalogram (EEG) signals have been shown very effective for inferring user intents in brain-computer interface (BCI) applications. However, existing EEG-based BCIs, in many cases, lack sufficient performance due to utilizing classifiers that operate on EEG signals induced by individual trials. While many factors influence the classification performance, an important aspect that is often ignored is the temporal dependency of these trial-EEG signals, in some cases impacted by interference of brain responses to consecutive target and non-target trials...
July 2018: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Anton Ribbenstedt, Haizea Ziarrusta, Jonathan P Benskin
The potential of a metabolomics method to detect statistically significant perturbations in the metabolome of an organism is enhanced by excellent analytical precision, unequivocal identification, and broad metabolomic coverage. While the former two metrics are usually associated with targeted metabolomics and the latter with non-targeted metabolomics, a systematic comparison of the performance of both approaches has not yet been carried out. The present work reports on the development and performance evaluation of separate targeted and non-targeted metabolomics methods...
2018: PloS One
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