AIMC Topic: Wavelet Analysis
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A Lung Sound Category Recognition Method Based on Wavelet Decomposition and BP Neural Network.
International journal of biological sciences
Jan 1, 2019
In this paper, a method of characteristic extraction and recognition on lung sounds is given. Wavelet de-noised method is adopted to reduce noise of collected lung sounds and extract wavelet characteristic coefficients of the de-noised lung sounds by...
Research and analysis of cadmium residue in tomato leaves based on WT-LSSVR and Vis-NIR hyperspectral imaging.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 29, 2018
The reliability and validity of Vis-NIR hyperspectral imaging were investigated for the determination of heavy metal content in tomato leaves under different cadmium stress. Besides, a method involving wavelet transform and least square support vecto...
Geometrical features for premature ventricular contraction recognition with analytic hierarchy process based machine learning algorithms selection.
Computer methods and programs in biomedicine
Dec 27, 2018
BACKGROUND AND OBJECTIVE: Premature ventricular contraction is associated to the risk of coronary heart disease, and its diagnosis depends on a long time heart monitoring. For this purpose, monitoring through Holter devices is often used and computat...
Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Dec 3, 2018
Mental workload assessment is essential for maintaining human health and preventing accidents. Most research on this issue is limited to a single task. However, cross-task assessment is indispensable for extending a pre-trained model to new workload ...
MRI Brain Tumour Segmentation Using Hybrid Clustering and Classification by Back Propagation Algorithm.
Asian Pacific journal of cancer prevention : APJCP
Nov 29, 2018
Generally the segmentation refers, the partitioning of an image into smaller regions to identify or locate the region of abnormality. Even though image segmentation is the challenging task in medical applications, due to contrary image, local observa...
High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains.
Medical physics
Nov 28, 2018
PURPOSE: Sparsely sampled computed tomography (CT) has been attracting attention as a technique that can reduce the high radiation dose of conventional CT. In general, iterative reconstruction techniques have been applied to sparsely sampled CT to re...
Artificial Intelligence Based Skin Classification Using GMM.
Journal of medical systems
Nov 20, 2018
This study describes the usage of neural community based on the texture evaluation of pores and skin a variety of similarities in their signs, inclusive of Measles (rubella), German measles (rubella), and Chickenpox etc. In fashionable, these illness...
Applying machine learning to continuously monitored physiological data.
Journal of clinical monitoring and computing
Nov 11, 2018
The use of machine learning (ML) in healthcare has enormous potential for improving disease detection, clinical decision support, and workflow efficiencies. In this commentary, we review published and potential applications for the use of ML for moni...
Clinical Alarms
Delirium
Arrhythmias, Cardiac
Atrial Fibrillation
Critical Care
Expert Systems
Wavelet Analysis
Humans
Decision Support Systems, Clinical
Machine Learning
Monitoring, Physiologic
Software
Randomized Controlled Trials as Topic
Intensive Care Units
Electronic Health Records
Adult
Algorithms
Respiration, Artificial
Databases, Factual
Sepsis
Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique.
Computers in biology and medicine
Nov 10, 2018
BACKGROUND AND OBJECTIVE: Wheezes in pulmonary sounds are anomalies which are often associated with obstructive type of lung diseases. The previous works on wheeze-type classification focused mainly on using fixed time-frequency/scale resolution base...
A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions.
IEEE transactions on bio-medical engineering
Oct 31, 2018
GOAL: Accurate shock decision methods during piston-driven cardiopulmonary resuscitation (CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The best current methods are computationally demanding, and their accuracy ...
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