AIMC Topic: Wavelet Analysis

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Digital Biomarker for Muscle Function Assessment Using Surface Electromyography With Electrical Stimulation and a Non-Invasive Wearable Device.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 26, 2024
Sarcopenia is a comprehensive degenerative disease with the progressive loss of skeletal muscle mass with age, accompanied by the loss of muscle strength and muscle dysfunction. Individuals with unmanaged sarcopenia may experience adverse outcomes. P...
Neural Networks, Computer Algorithms Biomarkers Healthy Volunteers Humans Muscle Contraction Male Wavelet Analysis Middle Aged Deep Learning Electric Stimulation Female Sarcopenia Young Adult Motor Neurons Muscle, Skeletal Adult Electromyography Wearable Electronic Devices Action Potentials
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Efficient EEG Feature Learning Model Combining Random Convolutional Kernel with Wavelet Scattering for Seizure Detection.

International journal of neural systems Aug 23, 2024
Automatic seizure detection has significant value in epilepsy diagnosis and treatment. Although a variety of deep learning models have been proposed to automatically learn electroencephalography (EEG) features for seizure detection, the generalizatio...
Sensitivity and Specificity Deep Learning Electroencephalography Seizures Signal Processing, Computer-Assisted Wavelet Analysis Humans Neural Networks, Computer Machine Learning
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Sugarcane disease recognition through visible and near-infrared spectroscopy using deep learning assisted continuous wavelet transform-based spectrogram.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Aug 22, 2024
Utilizing visible and near-infrared (Vis-NIR) spectroscopy in conjunction with chemometrics methods has been widespread for identifying plant diseases. However, a key obstacle involves the extraction of relevant spectral characteristics. This study a...
Plant Leaves Least-Squares Analysis Discriminant Analysis Spectroscopy, Near-Infrared Deep Learning Saccharum Plant Diseases Wavelet Analysis
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Rapid estimation of soil water content based on hyperspectral reflectance combined with continuous wavelet transform, feature extraction, and extreme learning machine.

PeerJ Aug 22, 2024
BACKGROUND: Soil water content is one of the critical indicators in agricultural systems. Visible/near-infrared hyperspectral remote sensing is an effective method for soil water estimation. However, noise removal from massive spectral datasets and e...
Remote Sensing Technology Spectroscopy, Near-Infrared Least-Squares Analysis Wavelet Analysis Machine Learning Water Environmental Monitoring Soil
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High-percentage new energy distribution network line loss frequency division prediction based on wavelet transform and BIGRU-LSTM.

PloS one Aug 19, 2024
The access of new energy improves the flexibility of distribution network operation, but also leads to more complex mechanism of line loss. Therefore, starting from the nonlinear, fluctuating and multi-scale characteristics of line loss data, and bas...
Wavelet Analysis Neural Networks, Computer Algorithms
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Wasserstein generative adversarial network with gradient penalty and convolutional neural network based motor imagery EEG classification.

Journal of neural engineering Aug 14, 2024
Due to the difficulty in acquiring motor imagery electroencephalography (MI-EEG) data and ensuring its quality, insufficient training data often leads to overfitting and inadequate generalization capabilities of deep learning-based classification net...
Humans Brain-Computer Interfaces Wavelet Analysis Imagination Neural Networks, Computer Deep Learning Electroencephalography
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Wavelet-based selection-and-recalibration network for Parkinson's disease screening in OCT images.

Computer methods and programs in biomedicine Aug 12, 2024
BACKGROUND AND OBJECTIVE: Parkinson's disease (PD) is one of the most prevalent neurodegenerative brain diseases worldwide. Therefore, accurate PD screening is crucial for early clinical intervention and treatment. Recent clinical research indicates ...
Humans Neural Networks, Computer Algorithms Parkinson Disease Deep Learning Tomography, Optical Coherence Wavelet Analysis Retina Image Processing, Computer-Assisted
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Multilevel hybrid handcrafted feature extraction based depression recognition method using speech.

Journal of affective disorders Aug 9, 2024
BACKGROUND AND PURPOSE: Diagnosis of depression is based on tests performed by psychiatrists and information provided by patients or their relatives. In the field of machine learning (ML), numerous models have been devised to detect depression automa...
Speech Wavelet Analysis Depressive Disorder, Major Deep Learning Humans Machine Learning Female Adult Male
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FPWT: Filter pruning via wavelet transform for CNNs.

Neural networks : the official journal of the International Neural Network Society Jul 26, 2024
The enormous data and computational resources required by Convolutional Neural Networks (CNNs) hinder the practical application on mobile devices. To solve this restrictive problem, filter pruning has become one of the practical approaches. At presen...
Humans Image Processing, Computer-Assisted Wavelet Analysis Neural Networks, Computer Algorithms
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A scheme combining feature fusion and hybrid deep learning models for epileptic seizure detection and prediction.

Scientific reports Jul 23, 2024
Epilepsy is one of the most well-known neurological disorders globally, leading to individuals experiencing sudden seizures and significantly impacting their quality of life. Hence, there is an urgent necessity for an efficient method to detect and p...
Signal Processing, Computer-Assisted Neural Networks, Computer Wavelet Analysis Algorithms Deep Learning Electroencephalography Humans Epilepsy Seizures
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