keyword
MENU ▼
Read by QxMD icon Read
search

Wavelet

keyword
https://www.readbyqxmd.com/read/28546862/block-sparsity-based-joint-compressed-sensing-recovery-of-multi-channel-ecg-signals
#1
Anurag Singh, Samarendra Dandapat
In recent years, compressed sensing (CS) has emerged as an effective alternative to conventional wavelet based data compression techniques. This is due to its simple and energy-efficient data reduction procedure, which makes it suitable for resource-constrained wireless body area network (WBAN)-enabled electrocardiogram (ECG) telemonitoring applications. Both spatial and temporal correlations exist simultaneously in multi-channel ECG (MECG) signals. Exploitation of both types of correlations is very important in CS-based ECG telemonitoring systems for better performance...
April 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28546283/high-resolution-mapping-of-gastric-slow-wave-recovery-profiles-biophysical-model-methodology-and-demonstration-of-applications
#2
Niranchan Paskaranandavadivel, Leo K Cheng, Peng Du, Jack M Rogers, Gregory O'Grady
Slow waves play a central role in coordinating gastric motor activity. High-resolution mapping of extracellular potentials from the stomach provides spatiotemporal detail on normal and dysrhythmic slow-wave patterns. All mapping studies to date have focused exclusively on tissue activation; however, the recovery phase contains vital information on repolarization heterogeneity, the excitable gap, and refractory tail interactions, but has not been investigated. Here, we report a method to identify the recovery phase in slow-wave mapping data...
May 25, 2017: American Journal of Physiology. Gastrointestinal and Liver Physiology
https://www.readbyqxmd.com/read/28536713/calibration-transfer-of-near-infrared-spectroscopy-by-canonical-correlation-analysis-coupled-with-wavelet-transform
#3
Jun Bin, Xin Li, Wei Fan, Ji-Heng Zhou, Cheng-Wei Wang
Calibration model transfer has played a prominent role in the practical application of NIR spectral analysis. The change of instruments and sample physical states may lead to variation of the NIR spectrum, which results in the applicability of the model in judicatory practice being unsatisfactory. Therefore, a transfer for the calibration model considering both the variation of instruments and sample states is a necessity to ensure its availability. In this paper, a novel approach, namely canonical correlation analysis coupled with wavelet transform (WTCCA), was proposed for calibration transfer between two near infrared spectrometers (a portable and a laboratory instrument), and simultaneously, among three physical states (tobacco powder, tobacco filament and intact leaf) to determine the content of total sugars, reducing sugars, and nicotine in tobacco leaf samples, respectively...
May 24, 2017: Analyst
https://www.readbyqxmd.com/read/28534816/roi-based-on-board-compression-for-hyperspectral-remote-sensing-images-on-gpu
#4
Rossella Giordano, Pietro Guccione
In recent years, hyperspectral sensors for Earth remote sensing have become very popular. Such systems are able to provide the user with images having both spectral and spatial information. The current hyperspectral spaceborne sensors are able to capture large areas with increased spatial and spectral resolution. For this reason, the volume of acquired data needs to be reduced on board in order to avoid a low orbital duty cycle due to limited storage space. Recently, literature has focused the attention on efficient ways for on-board data compression...
May 19, 2017: Sensors
https://www.readbyqxmd.com/read/28534785/efficient-hardware-implementation-of-real-time-low-power-movement-intention-detector-system-using-fft-and-adaptive-wavelet-transform
#5
Alireza Chamanzar, Mahdi Shabany, Alireza Malekmohammadi, Sara Mohammadinejad
The brain-computer interfacing (BCI), a platform to extract features and classify different motor movement tasks from noisy and highly correlated electroencephalogram signals, is limited mostly by the complex and power-hungry algorithms. Among different techniques recently devised to tackle this issue, real-time onset detection, due to its negligible delay and minimal power overhead, is the most efficient one. Here, we propose a novel algorithm that outperforms the state-of-the-art design by sixfold in terms of speed, without sacrificing the accuracy for a real-time, hand movement intention detection based on the adaptive wavelet transform with only 1 s detection delay and maximum sensitivity of 88% and selectivity of 78% (only 7% loss of sensitivity)...
June 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28534025/atrial-fibrillation-dynamics-and-ionic-block-effects-in-six-heterogeneous-human-3d-virtual-atria-with-distinct-repolarization-dynamics
#6
Carlos Sánchez, Alfonso Bueno-Orovio, Esther Pueyo, Blanca Rodríguez
Atrial fibrillation (AF) usually manifests as reentrant circuits propagating through the whole atria creating chaotic activation patterns. Little is yet known about how differences in electrophysiological and ionic properties between patients modulate reentrant patterns in AF. The goal of this study is to quantify how variability in action potential duration (APD) at different stages of repolarization determines AF dynamics and their modulation by ionic block using a set of virtual whole-atria human models...
2017: Frontiers in Bioengineering and Biotechnology
https://www.readbyqxmd.com/read/28532643/reprint-of-a-new-approach-to-analyze-data-from-eeg-based-concealed-face-recognition-system
#7
A H Mehrnam, A M Nasrabadi, Mahrad Ghodousi, A Mohammadian, Sh Torabi
The purpose of this study is to extend a feature set with non-linear features to improve classification rate of guilty and innocent subjects. Non-linear features can provide extra information about phase space. The Event-Related Potential (ERP) signals were recorded from 49 subjects who participated in concealed face recognition test. For feature extraction, at first, several morphological characteristics, frequency bands, and wavelet coefficients (we call them basic-features) are extracted from each single-trial ERP...
May 19, 2017: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/28529762/enhanced-inter-subject-brain-computer-interface-with-associative-sensorimotor-oscillations
#8
Simanto Saha, Khawza I Ahmed, Raqibul Mostafa, Ahsan H Khandoker, Leontios Hadjileontiadis
Electroencephalography (EEG) captures electrophysiological signatures of cortical events from the scalp with high-dimensional electrode montages. Usually, excessive sources produce outliers and potentially affect the actual event related sources. Besides, EEG manifests inherent inter-subject variability of the brain dynamics, at the resting state and/or under the performance of task(s), caused probably due to the instantaneous fluctuation of psychophysiological states. A wavelet coherence (WC) analysis for optimally selecting associative inter-subject channels is proposed here and is being used to boost performances of motor imagery (MI)-based inter-subject brain computer interface (BCI)...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28529760/denoising-techniques-in-adaptive-multi-resolution-domains-with-applications-to-biomedical-images
#9
Salim Lahmiri
Variational mode decomposition (VMD) is a new adaptive multi-resolution technique suitable for signal denoising purpose. The main focus of this work has been to study the feasibility of several image denoising techniques in empirical mode decomposition (EMD) and VMD domains. A comparative study is made using 11 techniques widely used in the literature, including Wiener filter, first-order local statistics, fourth partial differential equation, nonlinear complex diffusion process, linear complex diffusion process (LCDP), probabilistic non-local means, non-local Euclidean medians, non-local means, non-local patch regression, discrete wavelet transform and wavelet packet transform...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28529759/high-frequency-based-features-for-low-and-high-retina-haemorrhage-classification
#10
Salim Lahmiri
Haemorrhages (HAs) presence in fundus images is one of the most important indicators of diabetic retinopathy that causes blindness. In this regard, accurate grading of HAs in fundus images is crucial for appropriate medical treatment. The purpose of this Letter is to assess the relative performance of statistical features obtained with three different multi-resolution analysis (MRA) techniques and fed to support vector machine in grading retinal HAs. Considered MRA techniques are the common discrete wavelet transform (DWT), empirical mode decomposition (EMD), and variational mode decomposition (VMD)...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28529731/a-bayesian-supervised-dual-dimensionality-reduction-model-for-simultaneous-decoding-of-lfp-and-spike-train-signals
#11
Andrew Holbrook, Alexander Vandenberg-Rodes, Norbert Fortin, Babak Shahbaba
Neuroscientists are increasingly collecting multimodal data during experiments and observational studies. Different data modalities-such as EEG, fMRI, LFP, and spike trains-offer different views of the complex systems contributing to neural phenomena. Here, we focus on joint modeling of LFP and spike train data, and present a novel Bayesian method for neural decoding to infer behavioral and experimental conditions. This model performs supervised dual-dimensionality reduction: it learns low-dimensional representations of two different sources of information that not only explain variation in the input data itself, but also predict extra-neuronal outcomes...
2017: Stat: the ISI's Journal for Rapid Dissemination of Statistics Research
https://www.readbyqxmd.com/read/28523350/comparison-of-a-radiomic-biomarker-with-volumetric-analysis-for-decoding-tumour-phenotypes-of-lung-adenocarcinoma-with-different-disease-specific-survival
#12
Mei Yuan, Yu-Dong Zhang, Xue-Hui Pu, Yan Zhong, Hai Li, Jiang-Fen Wu, Tong-Fu Yu
OBJECTIVES: To compare a multi-feature-based radiomic biomarker with volumetric analysis in discriminating lung adenocarcinomas with different disease-specific survival on computed tomography (CT) scans. METHODS: This retrospective study obtained institutional review board approval and was Health Insurance Portability and Accountability Act (HIPAA) compliant. Pathologically confirmed lung adenocarcinoma (n = 431) manifested as subsolid nodules on CT were identified...
May 18, 2017: European Radiology
https://www.readbyqxmd.com/read/28518101/using-wavelet-entropy-to-demonstrate-how-mindfulness-practice-increases-coordination-between-irregular-cerebral-and-cardiac-activities
#13
Hin Hung Sik, Junling Gao, Jicong Fan, Bonnie Wai Yan Wu, Hang Kin Leung, Yeung Sam Hung
In both the East and West, traditional teachings say that the mind and heart are somehow closely correlated, especially during spiritual practice. One difficulty in proving this objectively is that the natures of brain and heart activities are quite different. In this paper, we propose a methodology that uses wavelet entropy to measure the chaotic levels of both electroencephalogram (EEG) and electrocardiogram (ECG) data and show how this may be used to explore the potential coordination between the mind and heart under different experimental conditions...
May 10, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28511108/wine-yeasts-identification-by-maldi-tof-ms-optimization-of-the-preanalytical-steps-and-development-of-an-extensible-open-source-platform-for-processing-and-analysis-of-an-in-house-ms-database
#14
Cristina Gutiérrez, M Ángeles Gómez-Flechoso, Ignacio Belda, Javier Ruiz, Nour Kayali, Luis Polo, Antonio Santos
Saccharomyces cerevisiae is the most important yeast species for the production of wine and other beverages. In addition, nowadays, researchers and winemakers are aware of the influence of non-Saccharomyces in wine aroma complexity. Due to the high microbial diversity associated to several agro-food processes, such as winemaking, developing fast and accurate methods for microbial identification is demanded. In this context, MALDI-TOF MS mass fingerprint provides reliable tool for fast biotyping and classification of microorganisms...
May 8, 2017: International Journal of Food Microbiology
https://www.readbyqxmd.com/read/28508259/investigation-of-the-scaling-characteristics-of-landsat-temperature-and-vegetation-data-a-wavelet-based-approach
#15
Maheswaran Rathinasamy, V M Bindhu, Jan Adamowski, Balaji Narasimhan, Rakesh Khosa
An investigation of the scaling characteristics of vegetation and temperature data derived from LANDSAT data was undertaken for a heterogeneous area in Tamil Nadu, India. A wavelet-based multiresolution technique decomposed the data into large-scale mean vegetation and temperature fields and fluctuations in horizontal, diagonal, and vertical directions at hierarchical spatial resolutions. In this approach, the wavelet coefficients were used to investigate whether the normalized difference vegetation index (NDVI) and land surface temperature (LST) fields exhibited self-similar scaling behaviour...
May 16, 2017: International Journal of Biometeorology
https://www.readbyqxmd.com/read/28505137/airborne-infrared-and-visible-image-fusion-combined-with-region-segmentation
#16
Yujia Zuo, Jinghong Liu, Guanbing Bai, Xuan Wang, Mingchao Sun
This paper proposes an infrared (IR) and visible image fusion method introducing region segmentation into the dual-tree complex wavelet transform (DTCWT) region. This method should effectively improve both the target indication and scene spectrum features of fusion images, and the target identification and tracking reliability of fusion system, on an airborne photoelectric platform. The method involves segmenting the region in an IR image by significance, and identifying the target region and the background region; then, fusing the low-frequency components in the DTCWT region according to the region segmentation result...
May 15, 2017: Sensors
https://www.readbyqxmd.com/read/28502383/rolling-bearing-fault-diagnosis-using-adaptive-deep-belief-network-with-dual-tree-complex-wavelet-packet
#17
Haidong Shao, Hongkai Jiang, Fuan Wang, Yanan Wang
Automatic and accurate identification of rolling bearing fault categories, especially for the fault severities and compound faults, is a challenge in rotating machinery fault diagnosis. For this purpose, a novel method called adaptive deep belief network (DBN) with dual-tree complex wavelet packet (DTCWPT) is developed in this paper. DTCWPT is used to preprocess the vibration signals to refine the fault characteristics information, and an original feature set is designed from each frequency-band signal of DTCWPT...
May 11, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28499157/identify-temporal-trend-of-air-temperature-and-its-impact-on-forest-stream-flow-in-lower-mississippi-river-alluvial-valley-using-wavelet-analysis
#18
Ying Ouyang, Prem B Parajuli, Yide Li, Theodor D Leininger, Gary Feng
Characterization of stream flow is essential to water resource management, water supply planning, environmental protection, and ecological restoration; while air temperature variation due to climate change can exacerbate stream flow and add instability to the flow. In this study, the wavelet analysis technique was employed to identify temporal trend of air temperature and its impact upon forest stream flows in Lower Mississippi River Alluvial Valley (LMRAV). Four surface water monitoring stations, which locate near the headwater areas with very few land use disturbances and the long-term data records (60-90 years) in the LMRAV, were selected to obtain stream discharge and air temperature data...
May 9, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28499137/a-comparison-of-the-ground-reaction-force-frequency-content-during-rearfoot-and-non-rearfoot-running-patterns
#19
Allison H Gruber, W Brent Edwards, Joseph Hamill, Timothy R Derrick, Katherine A Boyer
Running with a non-rearfoot pattern has been claimed to reduce injury risk because the impact peak in the vertical ground reaction force (GRF) is visually absent in the time-domain compared with a rearfoot pattern. However, running results in a rapid deceleration of the lower extremity segments immediately following initial contact with the ground, regardless of footfall pattern. Therefore, the frequency content of the GRF is expected to contain evidence of this collision. The purpose of the present study was to characterize the waveform components of the GRF generated during the impact phase by habitual rearfoot and habitual non-rearfoot pattern groups using the continuous wavelet transform...
April 28, 2017: Gait & Posture
https://www.readbyqxmd.com/read/28499122/emd-dwt-based-transform-domain-feature-reduction-approach-for-quantitative-multi-class-classification-of-breast-lesions
#20
Sharmin R Ara, Syed Khairul Bashar, Farzana Alam, Md Kamrul Hasan
Using a large set of ultrasound features does not necessarily ensure improved quantitative classification of breast tumors; rather, it often degrades the performance of a classifier. In this paper, we propose an effective feature reduction approach in the transform domain for improved multi-class classification of breast tumors. Feature transformation methods, such as empirical mode decomposition (EMD) and discrete wavelet transform (DWT), followed by a filter- or wrapper-based subset selection scheme are used to extract a set of non-redundant and more potential transform domain features through decorrelation of an optimally ordered sequence of N ultrasonic bi-modal (i...
April 24, 2017: Ultrasonics
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"