AIMC Topic: Wavelet Analysis

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The utility of LASSO-based models for real time forecasts of endemic infectious diseases: A cross country comparison.

Journal of biomedical informatics Feb 27, 2018
INTRODUCTION: Accurate and timely prediction for endemic infectious diseases is vital for public health agencies to plan and carry out any control methods at an early stage of disease outbreaks. Climatic variables has been identified as important pre...
Infectious Disease Medicine Hand, Foot and Mouth Disease Chickenpox Climate Wavelet Analysis Communicable Disease Control Dengue Taiwan Humans Disease Outbreaks Singapore Machine Learning Forecasting Thailand Algorithms Malaria Communicable Diseases Incidence Japan Reproducibility of Results Models, Statistical Public Health
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Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis.

IEEE transactions on bio-medical engineering Feb 5, 2018
OBJECTIVE: Electrophysiological muscle classification (EMC) is a crucial step in the diagnosis of neuromuscular disorders. Existing quantitative techniques are not sufficiently robust and accurate to be reliably clinically used. Here, EMC is modeled ...
Algorithms Aged Aged, 80 and over Young Adult Humans Electromyography Wavelet Analysis Entropy Electrophysiological Phenomena Adult Middle Aged Muscle, Skeletal Unsupervised Machine Learning
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Identification of coffee bean varieties using hyperspectral imaging: influence of preprocessing methods and pixel-wise spectra analysis.

Scientific reports Feb 1, 2018
Hyperspectral imaging was used to identify and to visualize the coffee bean varieties. Spectral preprocessing of pixel-wise spectra was conducted by different methods, including moving average smoothing (MA), wavelet transform (WT) and empirical mode...
Algorithms Least-Squares Analysis Calibration Coffee Wavelet Analysis Spectroscopy, Near-Infrared Image Processing, Computer-Assisted Support Vector Machine Seeds
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Content Based Image Retrieval by Using Color Descriptor and Discrete Wavelet Transform.

Journal of medical systems Jan 25, 2018
Due to recent development in technology, the complexity of multimedia is significantly increased and the retrieval of similar multimedia content is a open research problem. Content-Based Image Retrieval (CBIR) is a process that provides a framework f...
Humans Artificial Intelligence Algorithms Image Interpretation, Computer-Assisted Information Storage and Retrieval Pattern Recognition, Automated Wavelet Analysis
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Random ensemble learning for EEG classification.

Artificial intelligence in medicine Jan 3, 2018
Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients' quality of life. Accurate evaluation, presurgical assessment, seizure prevention, and emergency alerts all depend on the rap...
Brain Waves Cloud Computing Electrocorticography Predictive Value of Tests Electroencephalography Seizures Signal Processing, Computer-Assisted Automation False Negative Reactions False Positive Reactions Wavelet Analysis Reproducibility of Results Humans Time Factors Neural Networks, Computer Support Vector Machine Brain Brain Mapping
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Focal Onset Seizure Prediction Using Convolutional Networks.

IEEE transactions on bio-medical engineering Dec 25, 2017
OBJECTIVE: This paper investigates the hypothesis that focal seizures can be predicted using scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish between the interictal and preictal regions. The second aim is to ...
Wavelet Analysis Scalp Databases, Factual Electroencephalography Humans Seizures Neural Networks, Computer Algorithms
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Detection of American Football Head Impacts Using Biomechanical Features and Support Vector Machine Classification.

Scientific reports Dec 21, 2017
Accumulation of head impacts may contribute to acute and long-term brain trauma. Wearable sensors can measure impact exposure, yet current sensors do not have validated impact detection methods for accurate exposure monitoring. Here we demonstrate a ...
Wearable Electronic Devices ROC Curve Support Vector Machine Head Neck Principal Component Analysis Humans Wavelet Analysis Area Under Curve Biomechanical Phenomena Football Video Recording
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Epileptic seizure detection using DWT-based approximate entropy, Shannon entropy and support vector machine: a case study.

Journal of medical engineering & technology Dec 18, 2017
In this work, we have used a time-frequency domain analysis method called discrete wavelet transform (DWT) technique. This method stand out compared to other proposed methods because of its algorithmic elegance and accuracy. A wavelet is a mathematic...
Support Vector Machine Humans Entropy Electroencephalography Algorithms Epilepsy Wavelet Analysis
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Switching and optimizing control for coal flotation process based on a hybrid model.

PloS one Oct 17, 2017
Flotation is an important part of coal preparation, and the flotation column is widely applied as efficient flotation equipment. This process is complex and affected by many factors, with the froth depth and reagent dosage being two of the most impor...
Chemical Fractionation Humans Wavelet Analysis Support Vector Machine Coal Mining Principal Component Analysis
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A brain-computer interface based on functional transcranial doppler ultrasound using wavelet transform and support vector machines.

Journal of neuroscience methods Oct 7, 2017
BACKGROUND: Functional transcranial Doppler (fTCD) is an ultrasound based neuroimaging technique used to assess neural activation that occurs during a cognitive task through measuring velocity of cerebral blood flow.
Rest Brain-Computer Interfaces Wavelet Analysis Blood Flow Velocity Brain Feasibility Studies Ultrasonography, Doppler, Transcranial Humans Male Neuropsychological Tests Rotation Functional Neuroimaging Cerebrovascular Circulation Language Linear Models Cognition Space Perception Female Support Vector Machine Young Adult Imagination
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