AIMC Topic: Wavelet Analysis

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Classification of aortic stenosis using conventional machine learning and deep learning methods based on multi-dimensional cardio-mechanical signals.

Scientific reports Oct 16, 2020
This paper introduces a study on the classification of aortic stenosis (AS) based on cardio-mechanical signals collected using non-invasive wearable inertial sensors. Measurements were taken from 21 AS patients and 13 non-AS subjects. A feature analy...
Deep Learning Pilot Projects Aortic Valve Stenosis Aged Male Middle Aged Elasticity Wavelet Analysis Finite Element Analysis Biomedical Engineering Humans Neural Networks, Computer Machine Learning Algorithms Female Decision Trees Reproducibility of Results Signal Processing, Computer-Assisted Heart
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Research on a Dynamic Algorithm for Cow Weighing Based on an SVM and Empirical Wavelet Transform.

Sensors (Basel, Switzerland) Sep 18, 2020
Weight is an important indicator of the growth and development of dairy cows. The traditional static weighing methods require considerable human and financial resources, and the existing dynamic weighing algorithms do not consider the influence of th...
Humans Algorithms Female Body Weight Motion Wavelet Analysis Animals Cattle Support Vector Machine
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Spectral-Spatial Features Integrated Convolution Neural Network for Breast Cancer Classification.

Sensors (Basel, Switzerland) Aug 22, 2020
Cancer identification and classification from histopathological images of the breast depends greatly on experts, and computer-aided diagnosis can play an important role in disagreement of experts. This automatic process has increased the accuracy of ...
Humans Neural Networks, Computer Algorithms Wavelet Analysis Female Breast Neoplasms Breast
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A combined HMM-PCNN model in the contourlet domain for image data compression.

PloS one Aug 13, 2020
Multiscale geometric analysis (MGA) is not only characterized by multi-resolution, time-frequency localization, multidirectionality and anisotropy, but also outdoes the limitations of wavelet transform in representing high-dimensional singular data s...
Markov Chains Neural Networks, Computer Wavelet Analysis Data Compression
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Image Target Recognition via Mixed Feature-Based Joint Sparse Representation.

Computational intelligence and neuroscience Aug 10, 2020
An image target recognition approach based on mixed features and adaptive weighted joint sparse representation is proposed in this paper. This method is robust to the illumination variation, deformation, and rotation of the target image. It is a data...
Neural Networks, Computer Pattern Recognition, Automated Principal Component Analysis Wavelet Analysis Lighting
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Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network.

Medical & biological engineering & computing Jul 7, 2020
We purpose a novel method that combines modified frequency slice wavelet transform (MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal heart sounds. A hidden Markov model is used to find the position of each cardiac cyc...
Biomedical Engineering Heart Sounds Phonocardiography Cardiovascular Diseases Diagnosis, Computer-Assisted Signal Processing, Computer-Assisted Markov Chains Wavelet Analysis Humans Models, Cardiovascular Neural Networks, Computer Algorithms
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Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform.

BMC bioinformatics May 19, 2020
BACKGROUND: The aim of gene expression-based clinical modelling in tumorigenesis is not only to accurately predict the clinical endpoints, but also to reveal the genome characteristics for downstream analysis for the purpose of understanding the mech...
Algorithms Prognosis Risk Assessment Neoplasms Deep Learning Support Vector Machine Humans Gene Expression Proportional Hazards Models Wavelet Analysis
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SS-SWT and SI-CNN: An Atrial Fibrillation Detection Framework for Time-Frequency ECG Signal.

Journal of healthcare engineering May 18, 2020
Atrial fibrillation is the most common arrhythmia and is associated with high morbidity and mortality from stroke, heart failure, myocardial infarction, and cerebral thrombosis. Effective and rapid detection of atrial fibrillation is critical to redu...
Wavelet Analysis Diagnosis, Computer-Assisted Electrocardiography Atrial Fibrillation Humans Neural Networks, Computer Algorithms
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EEG Signal and Feature Interaction Modeling-Based Eye Behavior Prediction Research.

Computational and mathematical methods in medicine May 16, 2020
In recent years, with the development of brain science and biomedical engineering, as well as the rapid development of electroencephalogram (EEG) signal analysis methods, using EEG signals to monitor human health has become a very popular research fi...
Head Movements Ocular Physiological Phenomena Humans Wavelet Analysis Neural Networks, Computer Brain Waves Fatigue Algorithms Support Vector Machine Computational Biology Electroencephalography Logistic Models Signal Processing, Computer-Assisted
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Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning.

Sensors (Basel, Switzerland) May 2, 2020
Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomnography (PSG) has long been used for detection of various sleep disorders. In this research, electrocardiography (ECG) and electromayography (EMG) hav...
Entropy Polysomnography Sleep Wake Disorders Biosensing Techniques Humans Electrocardiography Respiration Sleep Apnea, Obstructive Algorithms Signal Processing, Computer-Assisted Wavelet Analysis Heart Rate Deep Learning
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