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Discrete wavelet transform

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https://www.readbyqxmd.com/read/29036125/automatic-classification-of-atherosclerotic-tissue-in-intravascular-optical-coherence-tomography-images
#1
Ping Zhou, Tongjing Zhu, Chunliu He, Zhiyong Li
Intravascular optical coherence tomography (IVOCT) has been successfully utilized for in vivo diagnostics of coronary plaques. However, classification of atherosclerotic tissues is mainly performed manually by experienced experts, which is time-consuming and subjective. To overcome these limitations, an automatic method of segmentation and classification of IVOCT images is developed in this paper. The method is capable of detecting the plaque contour between the fibrous tissues and other components. Subsequently, the method classifies the tissues based on their texture features described by Fourier transform and discrete wavelet transform...
July 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/28989280/exon-mapping-in-long-noncoding-rnas-using-digital-filters
#2
Tina P George, Tessamma Thomas
Long noncoding RNAs (lncRNAs) which were initially dismissed as "transcriptional noise" have become a vital area of study after their roles in biological regulation were discovered. Long noncoding RNAs have been implicated in various developmental processes and diseases. Here, we perform exon mapping of human lncRNA sequences (taken from National Center for Biotechnology Information GenBank) using digital filters. Antinotch digital filters are used to map out the exons of the lncRNA sequences analyzed. The period 3 property which is an established indicator for locating exons in genes is used here...
2017: Genomics Insights
https://www.readbyqxmd.com/read/28974007/modeling-of-chromium-copper-zinc-arsenic-and-lead-using-portable-x-ray-fluorescence-spectrometer-based-on-discrete-wavelet-transform
#3
Fang Li, Anxiang Lu, Jihua Wang
A modeling method based on discrete wavelet transform (DWT) was introduced to analyze the concentration of chromium, copper, zinc, arsenic and lead in soil with a portable X-ray fluorescence (XRF) spectrometer. A total of 111 soil samples were collected and observed. Denoising and baseline correction were performed on each spectrum before modeling. The optimum conditions for pre-processing were denoising with Coiflet 3 on the 3rd level and baseline correction with Coiflet 3 on the 9th level. Calibration curves were established for the five heavy metals (HMs)...
September 30, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28961273/improved-detection-of-dna-binding-proteins-via-compression-technology-on-pssm-information
#4
Yubo Wang, Yijie Ding, Fei Guo, Leyi Wei, Jijun Tang
Since the importance of DNA-binding proteins in multiple biomolecular functions has been recognized, an increasing number of researchers are attempting to identify DNA-binding proteins. In recent years, the machine learning methods have become more and more compelling in the case of protein sequence data soaring, because of their favorable speed and accuracy. In this paper, we extract three features from the protein sequence, namely NMBAC (Normalized Moreau-Broto Autocorrelation), PSSM-DWT (Position-specific scoring matrix-Discrete Wavelet Transform), and PSSM-DCT (Position-specific scoring matrix-Discrete Cosine Transform)...
2017: PloS One
https://www.readbyqxmd.com/read/28947007/fusion-of-ecg-and-abp-signals-based-on-wavelet-transform-for-cardiac-arrhythmias-classification
#5
Roghayyeh Arvanaghi, Sabalan Daneshvar, Hadi Seyedarabi, Atefeh Goshvarpour
BACKGROUND AND OBJECTIVE: Each of Electrocardiogram (ECG) and Atrial Blood Pressure (ABP) signals contain information of cardiac status. This information can be used for diagnosis and monitoring of diseases. The majority of previously proposed methods rely only on ECG signal to classify heart rhythms. In this paper, ECG and ABP were used to classify five different types of heart rhythms. To this end, two mentioned signals (ECG and ABP) have been fused. METHODS: These physiological signals have been used from MINIC physioNet database...
November 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28939919/validity-of-wavelet-transforms-for-analysis-of-video-head-impulse-test-vhit-results
#6
Jorge Rey-Martinez
To explore the applicability of discrete wavelet transforms in the analysis of vHIT responses. Discrete wavelet transform was applied to vHIT responses and a new method for calculating aVOR gain was developed. A prospective study was performed with two groups of normal (N = 10) and altered (N = 19) gain values; HIMP and SHIMP vHIT protocols were performed on both groups. To evaluate the gain values obtained, Intraclass Correlation Index, Pearson's correlation, linear regression, and t test were performed...
September 22, 2017: European Archives of Oto-rhino-laryngology
https://www.readbyqxmd.com/read/28913520/evidential-value-of-polymeric-materials-chemometric-tactics-for-spectral-data-compression-combined-with-likelihood-ratio-approach
#7
A Menżyk, A Martyna, G Zadora
Polymers have become a ubiquitous element of our culture. Therefore, these materials may play an important role in forensic investigations, serving as mute witnesses of occurrences such as car accidents. In this study, the possibilities provided by the likelihood ratio (LR) approach to estimate the evidential value of observed similarities and differences, and to discriminate among NIR spectral data originating from polypropylene automotive parts and household items, were investigated. Since the construction of LR models requires the introduction of only a few variables, the main objective was to reduce the dimensionality of registered spectra, which are characterised by over a thousand variables...
September 15, 2017: Analyst
https://www.readbyqxmd.com/read/28900815/wavelet-based-encoding-scheme-for-controlling-size-of-compressed-ecg-segments-in-telecardiology-systems
#8
Asiya M Al-Busaidi, Lazhar Khriji, Farid Touati, Mohd Fadlee Rasid, Adel Ben Mnaouer
One of the major issues in time-critical medical applications using wireless technology is the size of the payload packet, which is generally designed to be very small to improve the transmission process. Using small packets to transmit continuous ECG data is still costly. Thus, data compression is commonly used to reduce the huge amount of ECG data transmitted through telecardiology devices. In this paper, a new ECG compression scheme is introduced to ensure that the compressed ECG segments fit into the available limited payload packets, while maintaining a fixed CR to preserve the diagnostic information...
September 12, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28900626/emotion-recognition-from-eeg-signals-using-multidimensional-information-in-emd-domain
#9
Ning Zhuang, Ying Zeng, Li Tong, Chi Zhang, Hanming Zhang, Bin Yan
This paper introduces a method for feature extraction and emotion recognition based on empirical mode decomposition (EMD). By using EMD, EEG signals are decomposed into Intrinsic Mode Functions (IMFs) automatically. Multidimensional information of IMF is utilized as features, the first difference of time series, the first difference of phase, and the normalized energy. The performance of the proposed method is verified on a publicly available emotional database. The results show that the three features are effective for emotion recognition...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28863491/experimental-phase-synchronization-detection-in-non-phase-coherent-chaotic-systems-by-using-the-discrete-complex-wavelet-approach
#10
Maria Teodora Ferreira, Rosangela Follmann, Margarete O Domingues, Elbert E N Macau, István Z Kiss
Phase synchronization may emerge from mutually interacting non-linear oscillators, even under weak coupling, when phase differences are bounded, while amplitudes remain uncorrelated. However, the detection of this phenomenon can be a challenging problem to tackle. In this work, we apply the Discrete Complex Wavelet Approach (DCWA) for phase assignment, considering signals from coupled chaotic systems and experimental data. The DCWA is based on the Dual-Tree Complex Wavelet Transform (DT-CWT), which is a discrete transformation...
August 2017: Chaos
https://www.readbyqxmd.com/read/28832146/structural-differentiation-between-layered-single-ni-and-double-metal-hydroxides-ni-al-ldhs-using-wavelet-transformation
#11
Matthew G Siebecker, Donald L Sparks
Layered double hydroxides (LDHs) are anionic clays important in disciplines such as environmental chemistry, geochemistry, and materials science. Developments in signal processing of extended X-ray absorption fine structure (EXAFS) data, such as wavelet transformation (WT), have been used to identify transition metals and Al present in the hydroxide sheets of LDHs. The WT plots of LDHs should be distinct from those of isostructural single metal hydroxides. However, no direct comparison of these minerals appears in the literature using WT...
September 7, 2017: Journal of Physical Chemistry. A
https://www.readbyqxmd.com/read/28813000/an-ameliorated-prediction-of-drug-target-interactions-based-on-multi-scale-discrete-wavelet-transform-and-network-features
#12
Cong Shen, Yijie Ding, Jijun Tang, Xinying Xu, Fei Guo
The prediction of drug-target interactions (DTIs) via computational technology plays a crucial role in reducing the experimental cost. A variety of state-of-the-art methods have been proposed to improve the accuracy of DTI predictions. In this paper, we propose a kind of drug-target interactions predictor adopting multi-scale discrete wavelet transform and network features (named as DAWN) in order to solve the DTIs prediction problem. We encode the drug molecule by a substructure fingerprint with a dictionary of substructure patterns...
August 16, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28807374/design-and-application-of-discrete-wavelet-packet-transform-based-multiresolution-controller-for-liquid-level-system
#13
Rimi Paul, Anindita Sengupta
A new controller based on discrete wavelet packet transform (DWPT) for liquid level system (LLS) has been presented here. This controller generates control signal using node coefficients of the error signal which interprets many implicit phenomena such as process dynamics, measurement noise and effect of external disturbances. Through simulation results on LLS problem, this controller is shown to perform faster than both the discrete wavelet transform based controller and conventional proportional integral controller...
August 11, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28764415/sparse-dictionary-for-synthetic-transmit-aperture-medical-ultrasound-imaging
#14
Ping Wang, Jin-Yang Jiang, Na Li, Han-Wu Luo, Fang Li, Shi-Gang Cui
It is possible to recover a signal below the Nyquist sampling limit using a compressive sensing technique in ultrasound imaging. However, the reconstruction enabled by common sparse transform approaches does not achieve satisfactory results. Considering the ultrasound echo signal's features of attenuation, repetition, and superposition, a sparse dictionary with the emission pulse signal is proposed. Sparse coefficients in the proposed dictionary have high sparsity. Images reconstructed with this dictionary were compared with those obtained with the three other common transforms, namely, discrete Fourier transform, discrete cosine transform, and discrete wavelet transform...
July 2017: Journal of the Acoustical Society of America
https://www.readbyqxmd.com/read/28755816/analysis-of-the-tennis-racket-vibrations-during-forehand-drives-selection-of-the-mother-wavelet
#15
Y Blache, C Hautier, F Lefebvre, A Djordjevic, T Creveaux, I Rogowski
The time-frequency analysis of the tennis racket and hand vibrations is of great interest for discomfort and pathology prevention. This study aimed to (i) to assess the stationarity of the vibratory signal of the racket and hand and (ii) to identify the best mother wavelet to perform future time-frequency analysis, (iii) to determine if the stroke spin, racket characteristics and impact zone can influence the selection of the best mother wavelet. A total of 2364 topspin and flat forehand drives were performed by fourteen male competitive tennis players with six different rackets...
July 20, 2017: Journal of Biomechanics
https://www.readbyqxmd.com/read/28747669/compressive-sampling-based-on-frequency-saliency-for-remote-sensing-imaging
#16
Jin Li, Zilong Liu, Fengdeng Liu
In saliency-based compressive sampling (CS) for remote sensing image signals, the saliency information of images is used to allocate more sensing resources to salient regions than to non-salient regions. However, the pulsed cosine transform method can generate large errors in the calculation of saliency information because it uses only the signs of the coefficients of the discrete cosine transform for low-resolution images. In addition, the reconstructed images can exhibit blocking effects because blocks are used as the processing units in CS...
July 26, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28741115/the-dtl-erg-electrode-comes-in-different-shapes-and-sizes-are-they-all-good
#17
Jungeun Woo, Suna Jung, Mathieu Gauvin, Pierre Lachapelle
PURPOSE: Although the DTL fiber electrode has been in use in the ERG field for more than four decades, its composition was never clearly defined. We compared five different types of conductive (DTL type) yarn (differing in terms of mass, number of filaments, and crimping degree) in order to determine whether we could identify one that would be better suited for the recording of ERGs. METHODS: Photopic flash ERGs were recorded from five subjects using the following DTL electrodes: 27/7, 22/1, 11/1, 11/1*2, and 22/1*2...
July 24, 2017: Documenta Ophthalmologica. Advances in Ophthalmology
https://www.readbyqxmd.com/read/28711988/emotion-recognition-based-on-eeg-features-in-movie-clips-with-channel-selection
#18
Mehmet Siraç Özerdem, Hasan Polat
Emotion plays an important role in human interaction. People can explain their emotions in terms of word, voice intonation, facial expression, and body language. However, brain-computer interface (BCI) systems have not reached the desired level to interpret emotions. Automatic emotion recognition based on BCI systems has been a topic of great research in the last few decades. Electroencephalogram (EEG) signals are one of the most crucial resources for these systems. The main advantage of using EEG signals is that it reflects real emotion and can easily be processed by computer systems...
July 15, 2017: Brain Informatics
https://www.readbyqxmd.com/read/28706561/automatic-detection-of-epilepsy-and-seizure-using-multiclass-sparse-extreme-learning-machine-classification
#19
Yuanfa Wang, Zunchao Li, Lichen Feng, Chuang Zheng, Wenhao Zhang
An automatic detection system for distinguishing normal, ictal, and interictal electroencephalogram (EEG) signals is of great help in clinical practice. This paper presents a three-class classification system based on discrete wavelet transform (DWT) and the nonlinear sparse extreme learning machine (SELM) for epilepsy and epileptic seizure detection. Three-level lifting DWT using Daubechies order 4 wavelet is introduced to decompose EEG signals into delta, theta, alpha, and beta subbands. Considering classification accuracy and computational complexity, the maximum and standard deviation values of each subband are computed to create an eight-dimensional feature vector...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28692997/automated-classification-and-removal-of-eeg-artifacts-with-svm-and-wavelet-ica
#20
Chong Yeh Sai, Norrima Mokhtar, Hamzah Arof, Paul Cumming, Masahiro Iwahashi
Brain electrical activity recordings by electroencephalography (EEG) are often contaminated with signal artifacts. Procedures for automated removal of EEG artifacts are frequently sought for clinical diagnostics and brain computer interface (BCI) applications. In recent years, a combination of independent component analysis (ICA) and discrete wavelet transform (DWT) has been introduced as standard technique for EEG artifact removal. However, in performing the wavelet-ICA procedure, visual inspection or arbitrary thresholding may be required for identifying artifactual components in the EEG signal...
July 4, 2017: IEEE Journal of Biomedical and Health Informatics
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