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https://www.readbyqxmd.com/read/29775912/an-accurate-sleep-stages-classification-system-using-a-new-class-of-optimally-time-frequency-localized-three-band-wavelet-filter-bank
#1
Manish Sharma, Deepanshu Goyal, P V Achuth, U Rajendra Acharya
Sleep related disorder causes diminished quality of lives in human beings. Sleep scoring or sleep staging is the process of classifying various sleep stages which helps to detect the quality of sleep. The identification of sleep-stages using electroencephalogram (EEG) signals is an arduous task. Just by looking at an EEG signal, one cannot determine the sleep stages precisely. Sleep specialists may make errors in identifying sleep stages by visual inspection. To mitigate the erroneous identification and to reduce the burden on doctors, a computer-aided EEG based system can be deployed in the hospitals, which can help identify the sleep stages, correctly...
May 10, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29775850/electrical-resistivity-imaging-inversion-an-isfla-trained-kernel-principal-component-wavelet-neural-network-approach
#2
Feibo Jiang, Li Dong, Qianwei Dai
The traditional artificial neural network (ANN) inversion of electrical resistivity imaging (ERI) based on gradient descent algorithm is known to be inept for its low computation efficiency and does not ensure global convergence. In order to solve above problems, a kernel principal component wavelet neural network (KPCWNN) trained by an improved shuffled frog leaping algorithm (ISFLA) method is proposed in this study. An additional kernel principal component (KPC) layer is applied to reduce the dimensionality of apparent resistivity data and increase the computational efficiency of wavelet neural network (WNN)...
April 24, 2018: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29772891/the-influence-of-urban-heat-islands-and-socioeconomic-factors-on-the-spatial-distribution-of-aedes-aegypti-larval-habitats
#3
Thiago S De Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M Sallum
We addressed the potential associations among the temporal and spatial distribution of larval habitats of Aedes (Stegomyia) aegypti, the presence of urban heat islands and socioeconomic factors. Data on larval habitats were collected in Santa Bárbara d'Oeste, São Paulo, Brazil, from 2004 to 2006, and spatial and temporal variations were analysed using a wavelet-based approach. We quantified urban heat islands by calculating surface temperatures using the results of wavelet analyses and grey level transformation from Thematic Mapper images (Landsat 5)...
May 8, 2018: Geospatial Health
https://www.readbyqxmd.com/read/29772820/effective-crack-detection-in-railway-axles-using-vibration-signals-and-wpt-energy
#4
María Jesús Gómez, Eduardo Corral, Cristina Castejón, Juan Carlos García-Prada
Crack detection for railway axles is key to avoiding catastrophic accidents. Currently, non-destructive testing is used for that purpose. The present work applies vibration signal analysis to diagnose cracks in real railway axles installed on a real Y21 bogie working on a rig. Vibration signals were obtained from two wheelsets with cracks at the middle section of the axle with depths from 5.7 to 15 mm, at several conditions of load and speed. Vibration signals were processed by means of wavelet packet transform energy...
May 17, 2018: Sensors
https://www.readbyqxmd.com/read/29771952/analysis-of-multi-level-spatial-data-reveals-strong-synchrony-in-seasonal-influenza-epidemics-across-norway-sweden-and-denmark
#5
Sinead E Morris, Birgitte Freiesleben de Blasio, Cécile Viboud, Amy Wesolowski, Ottar N Bjørnstad, Bryan T Grenfell
Population structure, spatial diffusion, and climatic conditions mediate the spatiotemporal spread of seasonal influenza in temperate regions. However, much of our knowledge of these dynamics stems from a few well-studied countries, such as the United States (US), and the extent to which this applies in different demographic and climatic environments is not fully understood. Using novel data from Norway, Sweden, and Denmark, we applied wavelet analysis and non-parametric spatial statistics to explore the spatiotemporal dynamics of influenza transmission at regional and international scales...
2018: PloS One
https://www.readbyqxmd.com/read/29771366/linking-stem-growth-respiration-to-the-seasonal-course-of-stem-growth-and-gpp-of-scots-pine
#6
Tommy Chan, Frank Berninger, Pasi Kolari, Eero Nikinmaa, Teemu Hölttä
Current methods to study relations between stem respiration and stem growth have been hampered by problems in quantifying stem growth from dendrometer measurements, particularly on a daily time scale. This is mainly due to the water-related influences within these measurements that mask growth. A previously published model was used to remove water-related influences from measured radial stem variations to reveal a daily radial growth signal (ΔˆGm). We analysed the intra- and inter-annual relations between ΔˆGm and estimated growth respiration rates (Rg) on a daily scale for 5 years...
May 16, 2018: Tree Physiology
https://www.readbyqxmd.com/read/29769755/automatic-quantification-framework-to-detect-cracks-in-teeth
#7
Hina Shah, Pablo Hernandez, Francois Budin, Deepak Chittajallu, Jean-Baptiste Vimort, Rick Walters, André Mol, Asma Khan, Beatriz Paniagua
Studies show that cracked teeth are the third most common cause for tooth loss in industrialized countries. If detected early and accurately, patients can retain their teeth for a longer time. Most cracks are not detected early because of the discontinuous symptoms and lack of good diagnostic tools. Currently used imaging modalities like Cone Beam Computed Tomography (CBCT) and intraoral radiography often have low sensitivity and do not show cracks clearly. This paper introduces a novel method that can detect, quantify, and localize cracks automatically in high resolution CBCT (hr-CBCT) scans of teeth using steerable wavelets and learning methods...
February 2018: Proceedings of SPIE
https://www.readbyqxmd.com/read/29768928/automated-daily-quality-control-analysis-for-mammography-in-a-multi-unit-imaging-center
#8
Veli-Matti Sundell, Teemu Mäkelä, Alexander Meaney, Touko Kaasalainen, Sauli Savolainen
Background The high requirements for mammography image quality necessitate a systematic quality assurance process. Digital imaging allows automation of the image quality analysis, which can potentially improve repeatability and objectivity compared to a visual evaluation made by the users. Purpose To develop an automatic image quality analysis software for daily mammography quality control in a multi-unit imaging center. Material and Methods An automated image quality analysis software using the discrete wavelet transform and multiresolution analysis was developed for the American College of Radiology accreditation phantom...
January 1, 2018: Acta Radiologica
https://www.readbyqxmd.com/read/29765477/detecting-epileptic-seizure-with-different-feature-extracting-strategies-using-robust-machine-learning-classification-techniques-by-applying-advance-parameter-optimization-approach
#9
Lal Hussain
Epilepsy is a neurological disorder produced due to abnormal excitability of neurons in the brain. The research reveals that brain activity is monitored through electroencephalogram (EEG) of patients suffered from seizure to detect the epileptic seizure. The performance of EEG detection based epilepsy require feature extracting strategies. In this research, we have extracted varying features extracting strategies based on time and frequency domain characteristics, nonlinear, wavelet based entropy and few statistical features...
June 2018: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/29764403/meteorological-factors-affecting-dengue-incidence-in-davao-philippines
#10
Jesavel A Iguchi, Xerxes T Seposo, Yasushi Honda
BACKGROUND: Dengue fever is a major public health concern in the Philippines, and has been a significant cause of hospitalizations and deaths among young children. Previous literature links climate change to dengue, and with increasingly unpredictable changing climate patterns, there is a need to understand how these meteorological variables affect dengue incidence in a highly endemic area. METHODS: Weekly dengue incidences (2011-2015) in Davao Region, Philippines were obtained from the Department of Health...
May 15, 2018: BMC Public Health
https://www.readbyqxmd.com/read/29763824/use-of-continuous-wavelet-transform-approach-for-simultaneous-quantitative-determination-of-multicomponent-mixture-by-uv-vis-spectrophotometry
#11
Mahmoud Reza Sohrabi, Vahid Mirzabeygi, Mehran Davallo
In the present paper, a multicomponent analysis approach based on spectrophotometry method was developed for simultaneous determination of Guaifenesin (GU), Chlorpheniramine (CHL) and Pseudoephedrine (PSE) without any separation steps. The method under study is signal processing method based on Continuous Wavelet Transform (CWT) coupled with zero cross point technique. In this paper, CWT method was tested by synthetic ternary mixtures and was applied to the commercial cough syrup as a real sample and assessed by applying the standard addition technique...
May 8, 2018: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
https://www.readbyqxmd.com/read/29763658/event-related-potential-analysis-techniques-for-autism-spectrum-disorders-a-review
#12
REVIEW
Priyalakshmi Sheela, Subha D Puthankattil
Autism Spectrum Disorders (ASD) comprise all pervasive neurodevelopmental diseases marked by deficits in social and communication skills, delayed cognitive development, restricted and repetitive behaviors. The core symptoms begin in early childhood, may continue life-long resulting in poor performance in adult stage. Event-related potential (ERP) is basically a time-locked electroencephalogram signal elicited by various stimuli, related to sensory and cognitive processes. The various ERP based techniques used for the study of ASD are considered in this review...
May 12, 2018: International Journal of Developmental Neuroscience
https://www.readbyqxmd.com/read/29762483/a-feasibility-study-on-timber-damage-detection-using-piezoceramic-transducer-enabled-active-sensing
#13
Jicheng Zhang, Yongshui Huang, Yu Zheng
In recent years, piezoelectric-based transducers and technologies have made significant progress towards structural health monitoring and damage evaluation for various metal and concrete structures. Timber is still commonly used as a construction material in practical engineering; however, there is a lack of research on the health monitoring of timber-based structures using piezoelectric-based transducers and methods. This paper conducts a feasibility study on timber damage detection using surface-mounted piezoelectric patches, which enable the stress-wave-based active sensing approach...
May 15, 2018: Sensors
https://www.readbyqxmd.com/read/29761978/-synchronous-analysis-of-corticomuscular-coherence-based-on-gabor-wavelet-transfer-entropy
#14
Yuanyuan Zhang, Ce Zou, Xiaoling Chen, Yonghao Yin, Shengcui Cheng, Yingya Chen, Ping Xie
Synchronization analysis of electroencephalogram (EEG) and electromyogram (EMG) could reveal the functional corticomuscular coupling (FCMC) during the motor task in human. A novel method combining Gabor wavelet and transfer entropy (Gabor-TE) is proposed to quantitatively analyze the nonlinearly synchronous corticomuscular function coupling and direction characteristics under different steady-state force. Firstly, the Gabor wavelet transform method was used to acquire the local frequency-band signals of the EEG and EMG signals recorded from nine healthy controls simultaneously during performing grip task with four different steady-state forces...
December 1, 2017: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29761975/-research-on-electroencephalogram-emotion-recognition-based-on-the-feature-fusion-algorithm-of-auto-regressive-model-and-wavelet-packet-entropy
#15
Xin Li, Xiaoqi Sun, Xin Wang, Chunyan Shi, Jiannan Kang, Yongjie Hou
Focused on the world-wide issue of improving the accuracy of emotion recognition, this paper proposes an electroencephalogram (EEG) signal feature extraction algorithm based on wavelet packet energy entropy and auto-regressive (AR) model. The auto-regressive process can be approached to EEG signal as much as possible, and provide a wealth of spectral information with few parameters. The wavelet packet entropy reflects the spectral energy distribution of the signal in each frequency band. Combination of them gives a better reflect of the energy characteristics of EEG signals...
February 1, 2018: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29761953/-epileptic-electroencephalogram-recognition-based-on-discrete-s-transform-and-permutation-entropy
#16
Jianzhao Zhang, Wei Jiang, Hui Yuan, Wei Shang, Shi Liu, Ping Jiao
Electroencephalogram(EEG) analysis has important reference value in the diagnosis of epilepsy. The automatic classification of epileptic EEG can be used to judge the patient's situation in time,which is of great significance in clinical application. In order to solve the problem that the recognition accuracy is not high by using the single feature of EEG signals and avoid the influence of wavelet basis function selection on recognition results,a method of automatic discrimination of epileptic EEG signals based on S transform and permutation entropy is proposed...
October 1, 2017: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29760518/theory-of-single-impact-atomic-force-spectroscopy-in-liquids-with-material-contrast
#17
Enrique A López-Guerra, Francesco Banfi, Santiago D Solares, Gabriele Ferrini
Scanning probe microscopy has enabled nanoscale mapping of mechanical properties in important technological materials, such as tissues, biomaterials, polymers, nanointerfaces of composite materials, to name only a few. To improve and widen the measurement of nanoscale mechanical properties, a number of methods have been proposed to overcome the widely used force-displacement mode, that is inherently slow and limited to a quasi-static regime, mainly using multiple sinusoidal excitations of the sample base or of the cantilever...
May 14, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29759624/long-detection-programming-in-single-chamber-defibrillators-reduces-unnecessary-therapies-and-mortality-the-advance-iii-trial
#18
Maurizio Gasparini, Maurizio G Lunati, Alessandro Proclemer, Angel Arenal, Axel Kloppe, Josè B Martínez Ferrer, Ahmad S Hersi, Marcin Gulaj, Maurits C E Wijffels, Elisabetta Santi, Laura Manotta, Niraj Varma
OBJECTIVES: This study sought to evaluate the effects of programming a long detection in single-chamber (VVI) implantable cardioverter-defibrillators (ICDs) in the multicenter prospective ADVANCE III (Avoid DeliVering TherApies for Non-sustained Arrhythmias in ICD PatiEnts III) trial. BACKGROUND: Programming strategies may reduce unnecessary ICD shocks and their adverse effects but to date have been described only for dual-chamber ICDs. METHODS: A total of 545 subjects (85% male; atrial fibrillation 25%, left ventricular ejection fraction 31%, ischemic etiology 68%, secondary prevention indications 32%) receiving a VVI ICD were randomized to long detection (30 of 40 intervals) or standard programming (18 of 24 intervals) based on device type, atrial fibrillation history, and indication...
November 2017: JACC. Clinical Electrophysiology
https://www.readbyqxmd.com/read/29758974/emotion-recognition-from-multichannel-eeg-signals-using-k-nearest-neighbor-classification
#19
Mi Li, Hongpei Xu, Xingwang Liu, Shengfu Lu
BACKGROUND: Many studies have been done on the emotion recognition based on multi-channel electroencephalogram (EEG) signals. OBJECTIVE: This paper explores the influence of the emotion recognition accuracy of EEG signals in different frequency bands and different number of channels. METHODS: We classified the emotional states in the valence and arousal dimensions using different combinations of EEG channels. Firstly, DEAP default preprocessed data were normalized...
April 27, 2018: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/29756341/identifying-sagittal-otoliths-of-mediterranean-sea-gobies-variability-among-phylogenetic-lineages
#20
A Lombarte, M Miletić, M Kovačić, J L Otero-Ferrer, V M Tuset
In this study, we describe and analyse the morphology of the sagitta, the largest otolith, of 25 species of Gobiidae inhabiting the Adriatic and north-western Mediterranean seas. Our goal was to test the usefulness and efficiency of sagittal otoliths for species identification. Our analysis of otolith contours was based on mathematical descriptors called wavelets, which are related to multi-scale decompositions of contours. Two methods of classification were used: an iterative system based on 10 wavelets that searches the Anàlisi de Formes d'Otòlits (AFORO) database and a discriminant method based only on the fifth wavelet...
May 13, 2018: Journal of Fish Biology
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