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https://www.readbyqxmd.com/read/28922131/riemann-liouvelle-fractional-integral-based-empirical-mode-decomposition-for-ecg-denoising
#1
Shweta Jain, Varun Bajaj, Anil Kumar
Electrocardiograph (ECG) denoising is the most important step in diagnosis of heart related diseases, as the diagnosis gets influenced with noises. In this paper, a new method for ECG denoising is proposed, which incorporates empirical mode decomposition algorithm and Riemann Liouvelle (RL) fractional integral filtering. In the proposed method, noisy ECG signal is decomposed into its intrinsic mode functions (IMFs); from which noisy IMFs are identified by proposed noisy-IMFs identification methodology. RL fractional integral filtering is applied on noisy IMFs to get denoised IMFs; ECG signal is reconstructed with denoised IMFs and remaining signal dominant IMFs to obtain noise-free ECG signal...
September 18, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28912803/optimal-parameter-selection-for-support-vector-machine-based-on-artificial-bee-colony-algorithm-a-case-study-of-grid-connected-pv-system-power-prediction
#2
Xiang-Ming Gao, Shi-Feng Yang, San-Bo Pan
Predicting the output power of photovoltaic system with nonstationarity and randomness, an output power prediction model for grid-connected PV systems is proposed based on empirical mode decomposition (EMD) and support vector machine (SVM) optimized with an artificial bee colony (ABC) algorithm. First, according to the weather forecast data sets on the prediction date, the time series data of output power on a similar day with 15-minute intervals are built. Second, the time series data of the output power are decomposed into a series of components, including some intrinsic mode components IMFn and a trend component Res, at different scales using EMD...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28912727/a-hybrid-emd-kurtosis-method-for-estimating-fetal-heart-rate-from-continuous-doppler-signals
#3
Haitham M Al-Angari, Yoshitaka Kimura, Leontios J Hadjileontiadis, Ahsan H Khandoker
Monitoring of fetal heart rate (FHR) is an important measure of fetal wellbeing during the months of pregnancy. Previous works on estimating FHR variability from Doppler ultrasound (DUS) signal mainly through autocorrelation analysis showed low accuracy when compared with heart rate variability (HRV) computed from fetal electrocardiography (fECG). In this work, we proposed a method based on empirical mode decomposition (EMD) and the kurtosis statistics to estimate FHR and its variability from DUS. Comparison between estimated beat-to-beat intervals using the proposed method and the autocorrelation function (AF) with respect to RR intervals computed from fECG as the ground truth was done on DUS signals from 44 pregnant mothers in the early (20 cases) and late (24 cases) gestational weeks...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28911848/detecting-weak-position-fluctuations-from-encoder-signal-using-singular-spectrum-analysis
#4
Xiaoqiang Xu, Ming Zhao, Jing Lin
Mechanical fault or defect will cause some weak fluctuations to the position signal. Detection of such fluctuations via encoders can help determine the health condition and performance of the machine, and offer a promising alternative to the vibration-based monitoring scheme. However, besides the interested fluctuations, encoder signal also contains a large trend and some measurement noise. In applications, the trend is normally several orders larger than the concerned fluctuations in magnitude, which makes it difficult to detect the weak fluctuations without signal distortion...
September 11, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28902915/social-interactions-between-live-and-artificial-weakly-electric-fish-electrocommunication-and-locomotor-behavior-of-mormyrus-rume-proboscirostris-towards-a-mobile-dummy-fish
#5
Martin Worm, Frank Kirschbaum, Gerhard von der Emde
Mormyrid weakly electric fish produce short, pulse-type electric organ discharges for actively probing their environment and to communicate with conspecifics. Animals emit sequences of pulse-trains that vary in overall frequency and temporal patterning and can lead to time-locked interactions with the discharge activity of other individuals. Both active electrolocation and electrocommunication are additionally accompanied by stereotypical locomotor patterns. However, the concrete roles of electrical and locomotor patterns during social interactions in mormyrids are not well understood...
2017: PloS One
https://www.readbyqxmd.com/read/28901293/anomalous-thermal-conductance-of-graphyne-under-lower-temperature
#6
Xue-Kun Chen, Jun Liu, Dan Du, Ke-Qiu Chen
The thermal transport properties of graphyne are investigated via equilibrium molecular dynamics (EMD) simulations and non-equilibrium Green's function (NEGF) method. It is found that the room-temperature thermal conductivity of graphyne is very low compared to that of graphene with a similar size and decreases steeply with increasing the number of acetylenic linkages, which agrees with the results obtained by NEGF method qualitatively. Lattice dynamics calculations reveal that these phenomena can be attributed to the remarkable reduction of both phonon group velocities and phonon lifetimes in graphyne at low-frequency region...
September 13, 2017: Journal of Physics. Condensed Matter: An Institute of Physics Journal
https://www.readbyqxmd.com/read/28900626/emotion-recognition-from-eeg-signals-using-multidimensional-information-in-emd-domain
#7
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/28893718/alternatives-to-connective-tissue-graft-in-the-treatment-of-localized-gingival-recessions-a-systematic-review
#8
Khadija Amine, Yasser El Amrani, Siham Chemlali, Jamila Kissa
AIM: The aim of this Systematic Review (SR) was to assess the clinical efficacy of alternatives procedures; Acellular Dermal Matrix (ADM), Xenogeneic Collagen Matrix (XCM), Enamel Matrix Derivative (EMD) and Platelet Rich Fibrin (PRF), compared to conventional procedures in the treatment of localized gingival recessions. MATERIAL AND METHODS: Electronic searches were performed to identify randomized clinical trials (RCTs) on treatment of single gingival recession with at least 6 months of follow-up...
September 8, 2017: Journal of Stomatology, Oral and Maxillofacial Surgery
https://www.readbyqxmd.com/read/28892843/emd-regression-for-modelling-multi-scale-relationships-and-application-to-weather-related-cardiovascular-mortality
#9
Pierre Masselot, Fateh Chebana, Diane Bélanger, André St-Hilaire, Belkacem Abdous, Pierre Gosselin, Taha B M J Ouarda
In a number of environmental studies, relationships between nat4ural processes are often assessed through regression analyses, using time series data. Such data are often multi-scale and non-stationary, leading to a poor accuracy of the resulting regression models and therefore to results with moderate reliability. To deal with this issue, the present paper introduces the EMD-regression methodology consisting in applying the empirical mode decomposition (EMD) algorithm on data series and then using the resulting components in regression models...
September 6, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28889198/polyhydroxyalkanoate-production-from-sucrose-by-cupriavidus-necator-strains-harboring-csc-genes-from-escherichia-coli-w
#10
Hisashi Arikawa, Keiji Matsumoto, Tetsuya Fujiki
Cupriavidus necator H16 is the most promising bacterium for industrial production of polyhydroxyalkanoates (PHAs) because of their remarkable ability to accumulate them in the cells. With genetic modifications, this bacterium can produce poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) (PHBHHx), which has better physical properties, as well as poly(3-hydroxybutyrate) (PHB) using plant oils and sugars as a carbon source. Considering production cost, sucrose is a very attractive raw material because it is inexpensive; however, this bacterium cannot assimilate sucrose...
September 9, 2017: Applied Microbiology and Biotechnology
https://www.readbyqxmd.com/read/28885818/molecular-fin-effect-from-heterogeneous-self-assembled-monolayer-enhances-thermal-conductance-across-hard-soft-interfaces
#11
Xingfei Wei, Teng Zhang, Tengfei Luo
Thermal transport across hard-soft interfaces is critical to many modern applications, such as composite materials, thermal management in microelectronics, solar-thermal phase transition and nanoparticle-assisted hyperthermia therapeutics. In this study, we use equilibrium molecular dynamics (EMD) simulations combined with the Green-Kubo method to study how molecularly heterogeneous structures of the self-assembled monolayer (SAM) affect the thermal transport across the interfaces between the SAM-functionalized gold and organic liquids (hexylamine, propylamine and hexane)...
September 8, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28879003/non-contact-incipient-fault-diagnosis-method-of-fixed-axis-gearbox-based-on-ceemdan
#12
Vanraj, S S Dhami, B S Pabla
Gearbox plays most essential role in the modern machinery for transmitting the required torque along with motion and contributes to wide range of applications. Any failure in gearbox components affects the productivity and efficiency of the system. Most machine breakdowns related to gears are a result of improper operating conditions and loading, hence lead to failure of the whole mechanism. Ensemble Empirical Mode Decomposition (EEMD) comprises advancement and valuable addition in Empirical Mode Decomposition (EMD) and has been widely used in fault detection of rotating machines...
August 2017: Royal Society Open Science
https://www.readbyqxmd.com/read/28866370/acute-effects-of-direct-inhibitory-pressure-over-the-biceps-brachii-myotendinous-junction-on-skeletal-muscle-activation-and-force-output
#13
Emiliano Cè, Stefano Longo, Emily McCoy, Angela Valentina Bisconti, Davide Tironi, Eloisa Limonta, Susanna Rampichini, Marco Rabuffetti, Fabio Esposito
Force (F) reduction is reported with myotendinous junction (MTJ) manipulation. Autogenic inhibition reflex (AIR) activation is supposed to be the main mechanism. Still, its role remains unclear. The study aimed at assessing the effects of MTJ direct inhibitory pressure (DIP) on neuromuscular activation and F in the elbow flexor (agonist) and extensor (antagonist) muscles. After maximum voluntary contraction (MVC) assessment, thirty-five participants randomly performed submaximal contractions at 20, 40, 60, and 80% MVC...
August 12, 2017: Journal of Electromyography and Kinesiology
https://www.readbyqxmd.com/read/28857748/effects-of-fatigue-and-recovery-on-electromechanical-delay-during-isokinetic-muscle-actions
#14
Cory M Smith, Terry J Housh, Ethan C Hill, Joshua L Keller, Glen O Johnson, Richard J Schmidt
Examine muscle-specific differences and the effects of fatigue and recovery on electromechanical delay (EMD) during maximal isokinetic muscle actions. Approach: Thirteen men performed maximal isokinetic knee extension muscle actions at 60ºs-1, pretest, posttest, and after 5-min of recovery from 25 maximal isokinetic knee extensions. The onsets of the electromyographic, mechanomyographic, and force signals were used to identify EMD measures from the vastus lateralis (VL), vastus medialis (VM), and rectus femoris (RF)...
August 31, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28847026/relationship-between-anxiety-and-interleukin-10-in-female-soccer-players-with-and-without-premenstrual-syndrome-pms
#15
Roberta Foster, Mauro Vaisberg, Maíta Poli de Araújo, Marcia Aparecida Martins, Tiago Capel, Andre Luis Lacerda Bachi, Zsuzsanna Ilona Katalin de Jármy-Di Bella
Objective To investigate the level of anxiety and its relationship with interleukin (IL)-10 (anti inflammatory cytokine that modulates mood swings) in a group of female soccer players. Methods Fifty-two eumenorrheic soccer players were evaluated (age 19.8 ± 4.7 years). The presence of premenstrual syndrome (PMS) and phases of the menstrual cycle were determined by a daily symptom report (DSR) kept for 3 consecutive months. The concentration of cytokine IL-10 was determined from urine samples collected at four moments: at the follicular and luteal phases of the menstrual cycle, and before (pre) and after (post) the simulated game, and it was quantified by flow cytometry (Luminex xMAP - EMD Millipore, Billerica, MA, USA)...
August 28, 2017: Revista Brasileira de Ginecologia e Obstetrícia
https://www.readbyqxmd.com/read/28843087/are-there-mode-specific-and-fatigue-related-electromechanical-delay-responses-for-maximal-isokinetic-and-isometric-muscle-actions
#16
Cory M Smith, Terry J Housh, Ethan C Hill, Joshua L Keller, Glen O Johnson, Richard J Schmidt
This study used a combined electromyographic, mechanomyographic, and force approach to identify electromechanical delay (EMD) from the onsets of the electromyographic to force signals (EMDE-F), onsets of the electromyographic to mechanomyogrpahic signals (EMDE-M), and onsets of mechanomyographic to force signals (EMDM-F). The purposes of the current study were to examine: (1) differences in EMDE-M, EMDM-F, and EMDE-F from the vastus lateralis between maximal isokinetic and maximal concentric isometric leg extensions; and (2) the effects of fatigue and recovery on EMDE-M, EMDM-F, and EMDE-F...
August 23, 2017: Journal of Electromyography and Kinesiology
https://www.readbyqxmd.com/read/28842191/removal-of-bcg-artefact-from-concurrent-fmri-eeg-recordings-based-on-emd-and-pca
#17
Ehtasham Javed, Ibrahima Faye, Aamir Saeed Malik, Jafri Malin Abdullah
BACKGROUND: Simultaneous electroencephalography (EEG) and functional magnetic resonance image (fMRI) acquisitions provide better insight into brain dynamics. Some artefacts due to simultaneous acquisition pose a threat to the quality of the data. One such problematic artefact is the ballistocardiogram (BCG) artefact. METHODS: We developed a hybrid algorithm that combines features of empirical mode decomposition (EMD) with principal component analysis (PCA) to reduce the BCG artefact...
August 24, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28838815/standardized-computer-based-organized-reporting-of-eeg-score-second-version
#18
REVIEW
Sándor Beniczky, Harald Aurlien, Jan C Brøgger, Lawrence J Hirsch, Donald L Schomer, Eugen Trinka, Ronit M Pressler, Richard Wennberg, Gerhard H Visser, Monika Eisermann, Beate Diehl, Ronald P Lesser, Peter W Kaplan, Sylvie Nguyen The Tich, Jong Woo Lee, Antonio Martins-da-Silva, Hermann Stefan, Miri Neufeld, Guido Rubboli, Martin Fabricius, Elena Gardella, Daniella Terney, Pirgit Meritam, Tom Eichele, Eishi Asano, Fieke Cox, Walter van Emde Boas, Ruta Mameniskiene, Petr Marusic, Jana Zárubová, Friedhelm C Schmitt, Ingmar Rosén, Anders Fuglsang-Frederiksen, Akio Ikeda, David B MacDonald, Kiyohito Terada, Yoshikazu Ugawa, Dong Zhou, Susan T Herman
Standardized terminology for computer-based assessment and reporting of EEG has been previously developed in Europe. The International Federation of Clinical Neurophysiology established a taskforce in 2013 to develop this further, and to reach international consensus. This work resulted in the second, revised version of SCORE (Standardized Computer-based Organized Reporting of EEG), which is presented in this paper. The revised terminology was implemented in a software package (SCORE EEG), which was tested in clinical practice on 12,160 EEG recordings...
August 9, 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28836083/microwave-breast-cancer-detection-using-time-frequency-representations
#19
Hongchao Song, Yunpeng Li, Aidong Men
Microwave-based breast cancer detection has been proposed as a complementary approach to compensate for some drawbacks of existing breast cancer detection techniques. Among the existing microwave breast cancer detection methods, machine learning-type algorithms have recently become more popular. These focus on detecting the existence of breast tumours rather than performing imaging to identify the exact tumour position. A key component of the machine learning approaches is feature extraction. One of the most widely used feature extraction method is principle component analysis (PCA)...
August 24, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28835251/noise-assisted-multivariate-empirical-mode-decomposition-for-multichannel-emg-signals
#20
Yi Zhang, Peng Xu, Peiyang Li, Keyi Duan, Yuexin Wen, Qin Yang, Tao Zhang, Dezhong Yao
BACKGROUND: Ensemble Empirical Mode Decomposition (EEMD) has been popularised for single-channel Electromyography (EMG) signal processing as it can effectively extract the temporal information of the EMG time series. However, few papers examine the temporal and spatial characteristics across multiple muscle groups in relation to multichannel EMG signals. EXPERIMENT: The experimental data was obtained from the Center for Machine Learning and Intelligent Systems, University of California Irvine (UCI)...
August 23, 2017: Biomedical Engineering Online
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