keyword
MENU ▼
Read by QxMD icon Read
search

Wavelet

keyword
https://www.readbyqxmd.com/read/29149053/laser-induced-breakdown-spectroscopy-for-rapid-discrimination-of-heavy-metal-contaminated-seafood-tegillarca-granosa
#1
Guoli Ji, Pengchao Ye, Yijian Shi, Leiming Yuan, Xiaojing Chen, Mingshun Yuan, Dehua Zhu, Xi Chen, Xinyu Hu, Jing Jiang
Tegillarca granosa samples contaminated artificially by three kinds of toxic heavy metals including zinc (Zn), cadmium (Cd), and lead (Pb) were attempted to be distinguished using laser-induced breakdown spectroscopy (LIBS) technology and pattern recognition methods in this study. The measured spectra were firstly processed by a wavelet transform algorithm (WTA), then the generated characteristic information was subsequently expressed by an information gain algorithm (IGA). As a result, 30 variables obtained were used as input variables for three classifiers: partial least square discriminant analysis (PLS-DA), support vector machine (SVM), and random forest (RF), among which the RF model exhibited the best performance, with 93...
November 17, 2017: Sensors
https://www.readbyqxmd.com/read/29147828/a-reliable-spectral-method-to-reaction-diffusion-equations-in-entrapped-cell-photobioreactor-packed-with-gel-granules-using-chebyshev-wavelets
#2
M Salai Mathi Selvi, G Hariharan, K Kannan
A mathematical model of a reaction-diffusion within an entrapped-cell photobioreactor packed with gel granules containing immobilized photosynthetic bacterial cells is discussed. A theoretical model is based on a system of coupled nonlinear reaction-diffusion equations. In this research work, we have developed an efficient wavelet-based spectral approach for solving the proposed model. Analytical expressions for the concentration of substrate and product are established for all values of reaction-diffusion parameters using second kind Chebyshev wavelet method...
November 17, 2017: Journal of Membrane Biology
https://www.readbyqxmd.com/read/29147730/on-the-skilled-plantar-flexor-motor-action-and-unique-electromyographic-activity-of-ballet-dancers
#3
Sakiko Saito, Hiroki Obata, Mayumi Kuno-Mizumura, Kimitaka Nakazawa
The study aimed to compare the ability of dance and non-dance subjects to perform fine control of a simple heel-raising/lowering movement, and to determine if there are any differences in motor unit activity in the primary plantar flexor muscles during the movement. Subjects were instructed to accurately track a sinusoidal trace with a heel-raising and lowering movement at four controlled frequencies (1, 0.5, 0.25, and 0.125 Hz). The ankle joint angle was used to characterize movement errors from the target...
November 16, 2017: Experimental Brain Research. Experimentelle Hirnforschung. Expérimentation Cérébrale
https://www.readbyqxmd.com/read/29145595/synchrony-weather-and-cycles-in-southern-pine-beetle-coleoptera-curculionidae
#4
John D Reeve
Spatial synchrony and cycles are common features of forest insect pests, but are often studied as separate phenomenon. Using time series of timber damage caused by Dendroctonus frontalis Zimmermann (Coleoptera: Curculionidae) (southern pine beetle) in 10 states within the southern United States, this study examines synchrony in D. frontalis abundance, the synchronizing effects of temperature extremes, and the evidence for shared cycles among state populations. Cross-correlation and cluster analyses are used to quantify synchrony across a range of geographic distances and to identify groups of states with synchronous dynamics...
November 14, 2017: Environmental Entomology
https://www.readbyqxmd.com/read/29142739/classification-of-amyotrophic-lateral-sclerosis-disease-based-on-convolutional-neural-network-and-reinforcement-sample-learning-algorithm
#5
Abdulkadir Sengur, Yaman Akbulut, Yanhui Guo, Varun Bajaj
Electromyogram (EMG) signals contain useful information of the neuromuscular diseases like amyotrophic lateral sclerosis (ALS). ALS is a well-known brain disease, which can progressively degenerate the motor neurons. In this paper, we propose a deep learning based method for efficient classification of ALS and normal EMG signals. Spectrogram, continuous wavelet transform (CWT), and smoothed pseudo Wigner-Ville distribution (SPWVD) have been employed for time-frequency (T-F) representation of EMG signals. A convolutional neural network is employed to classify these features...
December 2017: Health Information Science and Systems
https://www.readbyqxmd.com/read/29142483/new-results-on-the-continuous-weinstein-wavelet-transform
#6
Hatem Mejjaoli, Ahmedou Ould Ahmed Salem
We consider the continuous wavelet transform [Formula: see text] associated with the Weinstein operator. We introduce the notion of localization operators for [Formula: see text]. In particular, we prove the boundedness and compactness of localization operators associated with the continuous wavelet transform. Next, we analyze the concentration of [Formula: see text] on sets of finite measure. In particular, Benedicks-type and Donoho-Stark's uncertainty principles are given. Finally, we prove many versions of Heisenberg-type uncertainty principles for [Formula: see text]...
2017: Journal of Inequalities and Applications
https://www.readbyqxmd.com/read/29141045/csf-in-the-ventricles-of-the-brain-behaves-as-a-relay-medium-for-arteriovenous-pulse-wave-phase-coupling
#7
William E Butler, Pankaj K Agarwalla, Patrick Codd
The ventricles of the brain remain perhaps the largest anatomic structure in the human body without established primary purpose, even though their existence has been known at least since described by Aristotle. We hypothesize that the ventricles help match a stroke volume of arterial blood that arrives into the rigid cranium with an equivalent volume of ejected venous blood by spatially configuring cerebrospinal fluid (CSF) to act as a low viscosity relay medium for arteriovenous pulse wave (PW) phase coupling...
2017: PloS One
https://www.readbyqxmd.com/read/29141008/smartphone-based-quantitative-measurements-on-holographic-sensors
#8
Gita Khalili Moghaddam, Christopher Robin Lowe
The research reported herein integrates a generic holographic sensor platform and a smartphone-based colour quantification algorithm in order to standardise and improve the determination of the concentration of analytes of interest. The utility of this approach has been exemplified by analysing the replay colour of the captured image of a holographic pH sensor in near real-time. Personalised image encryption followed by a wavelet-based image compression method were applied to secure the image transfer across a bandwidth-limited network to the cloud...
2017: PloS One
https://www.readbyqxmd.com/read/29140981/wavelet-brain-angiography-suggests-arteriovenous-pulse-wave-phase-locking
#9
William E Butler
When a stroke volume of arterial blood arrives to the brain, the total blood volume in the bony cranium must remain constant as the proportions of arterial and venous blood vary, and by the end of the cardiac cycle an equivalent volume of venous blood must have been ejected. I hypothesize the brain to support this process by an extraluminally mediated exchange of information between its arterial and venous circulations. To test this I introduce wavelet angiography methods to resolve single moving vascular pulse waves (PWs) in the brain while simultaneously measuring brain pulse motion...
2017: PloS One
https://www.readbyqxmd.com/read/29140294/a-human-body-pressure-distribution-imaging-system-based-on-wavelet-analysis-and-resistance-tomography
#10
Shuanfeng Zhao, Wenbo Wang, Wei Guo, Chuanwei Zhang
In this paper, a pressure distribution sensing system based on wavelet analysis and resistance tomography is proposed to overcome the shortcomings of a traditional electrode type pressure distribution sensor, which needs to be arranged with many electrodes and has a high production cost. The system uses ADS1256, a constant current source module, a serial communication module, a Raspberry host, a touch screen, and other components. The wavelet transform is used to preprocess the collected signal to improve the anti-jamming performance of the system...
November 15, 2017: Sensors
https://www.readbyqxmd.com/read/29138687/analysis-of-the-biceps-brachii-muscle-by-varying-the-arm-movement-level-and-load-resistance-band
#11
Nuradebah Burhan, Mohammad 'Afif Kasno, Rozaimi Ghazali, Md Radzai Said, Shahrum Shah Abdullah, Mohd Hafiz Jali
Biceps brachii muscle illness is one of the common physical disabilities that requires rehabilitation exercises in order to build up the strength of the muscle after surgery. It is also important to monitor the condition of the muscle during the rehabilitation exercise through electromyography (EMG) signals. The purpose of this study was to analyse and investigate the selection of the best mother wavelet (MWT) function and depth of the decomposition level in the wavelet denoising EMG signals through the discrete wavelet transform (DWT) method at each decomposition level...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29136548/wavelet-coherence-analysis-a-new-approach-to-distinguish-organic-and-functional-tremor-types
#12
G Kramer, A M M Van der Stouwe, N M Maurits, M A J Tijssen, J W J Elting
OBJECTIVE: To distinguish tremor subtypes using wavelet coherence analysis (WCA). WCA enables to detect variations in coherence and phase difference between two signals over time and might be especially useful in distinguishing functional from organic tremor. METHODS: In this pilot study, polymyography recordings were studied retrospectively of 26 Parkinsonian (PT), 26 functional (FT), 26 essential (ET), and 20 enhanced physiological (EPT) tremor patients. Per patient one segment of 20 s in duration, in which tremor was present continuously in the same posture, was selected...
October 14, 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/29134191/assessing-treatment-response-in-triple-negative-breast-cancer-from-quantitative-image-analysis-in-perfusion-magnetic-resonance-imaging
#13
Imon Banerjee, Sadhika Malladi, Daniela Lee, Adrien Depeursinge, Melinda Telli, Jafi Lipson, Daniel Golden, Daniel L Rubin
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is sensitive but not specific to determining treatment response in early stage triple-negative breast cancer (TNBC) patients. We propose an efficient computerized technique for assessing treatment response, specifically the residual tumor (RT) status and pathological complete response (pCR), in response to neoadjuvant chemotherapy. The proposed approach is based on Riesz wavelet analysis of pharmacokinetic maps derived from noninvasive DCE-MRI scans, obtained before and after treatment...
January 2018: Journal of Medical Imaging
https://www.readbyqxmd.com/read/29132126/improved-analysis-of-ground-vibrations-produced-by-man-made-sources
#14
Daniel Ainalis, Loïc Ducarne, Olivier Kaufmann, Jean-Pierre Tshibangu, Olivier Verlinden, Georges Kouroussis
Man-made sources of ground vibration must be carefully monitored in urban areas in order to ensure that structural damage and discomfort to residents is prevented or minimised. The research presented in this paper provides a comparative evaluation of various methods used to analyse a series of tri-axial ground vibration measurements generated by rail, road, and explosive blasting. The first part of the study is focused on comparing various techniques to estimate the dominant frequency, including time-frequency analysis...
November 10, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/29127656/altered-oscillatory-brain-dynamics-of-emotional-processing-in-young-binge-drinkers
#15
Siyuan Huang, Lee A Holcomb, Stephen M Cruz, Ksenija Marinkovic
Heavy episodic drinking, also termed binge drinking, is commonly practiced by young adults. It is accompanied by a range of cognitive, affective, and social problems, but the neural dynamics underlying changes in emotional functions is poorly understood. To investigate the behavioral and brain indices of affective processing as a function of binge drinking, young, healthy participants (23.3 ± 3.3 years) were assigned to two groups (n = 32 each) based on their drinking habits. Binge drinking (BD) participants reported drinking heavily with at least five binge episodes in the last 6 months, whereas light drinkers (LD) reported no more than one binge episode in the last 6 months...
November 10, 2017: Cognitive, Affective & Behavioral Neuroscience
https://www.readbyqxmd.com/read/29122445/a-method-for-the-topographical-identification-and-quantification-of-high-frequency-oscillations-in-intracranial-electroencephalography-recordings
#16
Zachary J Waldman, Shoichi Shimamoto, Inkyung Song, Iren Orosz, Anatol Bragin, Itzhak Fried, Jerome Engel, Richard Staba, Michael R Sperling, Shennan A Weiss
OBJECTIVE: To develop a reliable software method using a topographic analysis of time-frequency plots to distinguish ripple (80-200 Hz) oscillations that are often associated with EEG sharp waves or spikes (RonS) from sinusoid-like waveforms that appear as ripples but correspond with digital filtering of sharp transients contained in the wide bandwidth EEG. METHODS: A custom algorithm distinguished true from false ripples in one second intracranial EEG (iEEG) recordings using wavelet convolution, identifying contours of isopower, and categorizing these contours into sets of open or closed loop groups...
October 21, 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/29122342/development-of-a-new-methodology-for-the-creation-of-water-temperature-scenarios-using-frequency-analysis-tool
#17
Jonatan Val, María Rosa Pino, David Chinarro
Thermal quality in river ecosystems is a fundamental property for the development of biological processes and many of the human activities linked to the aquatic environment. In the future, this property is going to be threatened due to global change impacts, and basin managers will need useful tools to evaluate these impacts. Currently, future projections in temperature modelling are based on the historical data for air and water temperatures, and the relationship with past temperature scenarios; however, this represents a problem when evaluating future scenarios with new thermal impacts...
November 6, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/29121036/correlation-based-analysis-of-semg-signals-during-complex-muscle-activity-feasibility-study-of-new-methodology
#18
Michał Nowakowski, Paulina Trybek, Łukasz Machura
Assessment of complex motor task (CMT) competency is still very prone to bias. Objective assessment is based either on outcomes leaving the process out of the equitation or on checklists with all their limitations. We tested the hypothesis that muscular recruitment patterns assessed with surface Electromyography (sEMG) will be different between novices and skilled trainees. sEMG signals of the muscles that potentially are characterized by the highest level of engagement at complex motor task were submitted to comprehensive correlation analysis...
2017: Folia Medica Cracoviensia
https://www.readbyqxmd.com/read/29120389/textile-pressure-mapping-sensor-for-emotional-touch-detection-in-human-robot-interaction
#19
Bo Zhou, Carlos Andres Velez Altamirano, Heber Cruz Zurian, Seyed Reza Atefi, Erik Billing, Fernando Seoane Martinez, Paul Lukowicz
In this paper, we developed a fully textile sensing fabric for tactile touch sensing as the robot skin to detect human-robot interactions. The sensor covers a 20-by-20 cm 2 area with 400 sensitive points and samples at 50 Hz per point. We defined seven gestures which are inspired by the social and emotional interactions of typical people to people or pet scenarios. We conducted two groups of mutually blinded experiments, involving 29 participants in total. The data processing algorithm first reduces the spatial complexity to frame descriptors, and temporal features are calculated through basic statistical representations and wavelet analysis...
November 9, 2017: Sensors
https://www.readbyqxmd.com/read/29119540/discrimination-of-stroke-related-mild-cognitive-impairment-and-vascular-dementia-using-eeg-signal-analysis
#20
Noor Kamal Al-Qazzaz, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad, Mohd Shabiul Islam, Javier Escudero
Stroke survivors are more prone to developing cognitive impairment and dementia. Dementia detection is a challenge for supporting personalized healthcare. This study analyzes the electroencephalogram (EEG) background activity of 5 vascular dementia (VaD) patients, 15 stroke-related patients with mild cognitive impairment (MCI), and 15 control healthy subjects during a working memory (WM) task. The objective of this study is twofold. First, it aims to enhance the discrimination of VaD, stroke-related MCI patients, and control subjects using fuzzy neighborhood preserving analysis with QR-decomposition (FNPAQR); second, it aims to extract and investigate the spectral features that characterize the post-stroke dementia patients compared to the control subjects...
November 8, 2017: Medical & Biological Engineering & Computing
keyword
keyword
25000
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"