AIMC Topic: Signal Processing, Computer-Assisted

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Automated Analysis of Sleep Study Parameters Using Signal Processing and Artificial Intelligence.

International journal of environmental research and public health Oct 14, 2022
An automated sleep stage categorization can readily face noise-contaminated EEG recordings, just as other signal processing applications. Therefore, the denoising of the contaminated signals is inevitable to ensure a reliable analysis of the EEG sign...
Sleep Stages Algorithms Artificial Intelligence Electroencephalography Signal Processing, Computer-Assisted Sleep
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Empirical Mode Decomposition-Based Feature Extraction for Environmental Sound Classification.

Sensors (Basel, Switzerland) Oct 11, 2022
In environment sound classification, log Mel band energies (MBEs) are considered as the most successful and commonly used features for classification. The underlying algorithm, fast Fourier transform (FFT), is valid under certain restrictions. In thi...
Algorithms Signal Processing, Computer-Assisted Neural Networks, Computer Fourier Analysis Sound
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Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis.

Sensors (Basel, Switzerland) Oct 7, 2022
An efficient feature extraction method for two classes of electroencephalography (EEG) is demonstrated using Common Spatial Patterns (CSP) with optimal spatial filters. However, the effects of artifacts and non-stationary uncertainty are more pronoun...
Support Vector Machine Discriminant Analysis Algorithms Artifacts Brain-Computer Interfaces Electroencephalography Signal Processing, Computer-Assisted
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A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks.

Computers in biology and medicine Sep 21, 2022
As the number of people suffering from cardiovascular diseases increases every year, it becomes essential to have an accurate automatic electrocardiogram (ECG) diagnosis system. Researchers have adopted different methods, such as deep learning, to in...
Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Neural Networks, Computer Algorithms Humans
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A Prediction Model of Defecation Based on BP Neural Network and Bowel Sound Signal Features.

Sensors (Basel, Switzerland) Sep 19, 2022
(1) Background: Incontinence and its complications pose great difficulties in the care of the disabled. Currently, invasive incontinence monitoring methods are too invasive, expensive, and bulky to be widely used. Compared with previous methods, bowe...
Signal Processing, Computer-Assisted Sound Neural Networks, Computer Algorithms Defecation Humans
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Pulse Signal Analysis Based on Deep Learning Network.

BioMed research international Sep 15, 2022
Pulse signal is one of the most important physiological features of human body, which is caused by the cyclical contraction and diastole. It has great research value and broad application prospect in the detection of physiological parameters, the dev...
Deep Learning Signal Processing, Computer-Assisted Heart Rate Neural Networks, Computer Humans Wavelet Analysis Algorithms
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Probabilistic, Recurrent, Fuzzy Neural Network for Processing Noisy Time-Series Data.

IEEE transactions on neural networks and learning systems Aug 31, 2022
The rapidly increasing volumes of data and the need for big data analytics have emphasized the need for algorithms that can accommodate incomplete or noisy data. The concept of recurrency is an important aspect of signal processing, providing greater...
Algorithms Computer Simulation Fuzzy Logic Signal Processing, Computer-Assisted Neural Networks, Computer
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Cross-Modal Reconstruction for Tactile Signal in Human-Robot Interaction.

Sensors (Basel, Switzerland) Aug 29, 2022
A human can infer the magnitude of interaction force solely based on visual information because of prior knowledge in human-robot interaction (HRI). A method of reconstructing tactile information through cross-modal signal processing is proposed in t...
Robotics Signal Processing, Computer-Assisted Touch Humans Touch Perception Neural Networks, Computer
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Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model.

Sensors (Basel, Switzerland) Aug 29, 2022
An electrocardiogram (ECG) is an essential piece of medical equipment that helps diagnose various heart-related conditions in patients. An automated diagnostic tool is required to detect significant episodes in long-term ECG records. It is a very cha...
Myocardial Infarction Arrhythmias, Cardiac Electrocardiography Humans Signal Processing, Computer-Assisted Algorithms Deep Learning
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End-to-End Continuous/Discontinuous Feature Fusion Method with Attention for Rolling Bearing Fault Diagnosis.

Sensors (Basel, Switzerland) Aug 29, 2022
Mechanical equipment failure may cause massive economic and even life loss. Therefore, the diagnosis of the failures of machine parts in time is crucial. The rolling bearings are one of the most valuable parts, which have attracted the focus of fault...
Neural Networks, Computer Machine Learning Vibration Equipment Failure Signal Processing, Computer-Assisted
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