Classification of Aortic Stenosis Using Time–Frequency Features From Chest Cardio-Mechanical Signals
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DOI: 10.1109/tbme.2019.2942741
Abstract: Objectives: This paper introduces a novel method for the detection and classification of aortic stenosis (AS) using the time-frequency features of chest cardio-mechanical signals collected from wearable sensors, namely seismo-cardiogram (SCG) and gyro-cardiogram (GCG) signals.… read more here.
Keywords: time frequency; aortic stenosis; classification; frequency features ... See more keywords
Laplacian Feature Pyramid Network for Object Detection in VHR Optical Remote Sensing Images
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DOI: 10.1109/tgrs.2021.3072488
Abstract: Except for multiscale features, high-frequency features are also crucial for the identification of many objects in object detection for very high resolution optical remote sensing (VHR-ORS) images but have not been considered yet. Due to… read more here.
Keywords: high frequency; frequency; frequency features; object detection ... See more keywords
GEO SAR Imaging of Maneuvering Ships Based on Time–frequency Features Extraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3166758
Abstract: Geosynchronous synthetic aperture radar (GEO SAR) system has the ability of observing targets for several hours in a large field of view. Complex and irregular rotating motion of the ship on sea in long aperture… read more here.
Keywords: time frequency; time; frequency features; geo sar ... See more keywords
Frequency and features of myasthenia gravis developing after thymectomy
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DOI: 10.1111/ene.14052
Abstract: Thymectomy is an effective treatment for myasthenia gravis (MG) with anti‐acetylcholine receptor (AChR) antibodies. We rarely encounter patients who develop MG after surgery for thymic tumors. This study aimed to investigate the characteristics and frequency… read more here.
Keywords: gravis developing; developing thymectomy; frequency; frequency features ... See more keywords
Extreme Learning Machine for Heartbeat Classification with Hybrid Time-Domain and Wavelet Time-Frequency Features
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DOI: 10.1155/2021/6674695
Abstract: Automatic heartbeat classification via electrocardiogram (ECG) can help diagnose and prevent cardiovascular diseases in time. Many classification approaches have been proposed for heartbeat classification, based on feature extraction. However, the existing approaches face the challenges… read more here.
Keywords: classification; time; time frequency; frequency features ... See more keywords
Extraction and Reconstruction of Arbitrary 3D Frequency Features from the Potassium Dihydrogen Phosphate Surfaces Machined by Different Cutting Parameters
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DOI: 10.3390/ma15217759
Abstract: To comprehensively analyze the effect of cutting parameters on the 3D surface topography of machined potassium dihydrogen phosphate crystals, 2D power spectrum density and continuous wavelet transform are used to extract and reconstruct the arbitrary… read more here.
Keywords: dihydrogen phosphate; topography; frequency features; spatial frequency ... See more keywords