AIMC Topic: Signal Processing, Computer-Assisted

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Real-time noise cancellation with deep learning.

PloS one Nov 21, 2022
Biological measurements are often contaminated with large amounts of non-stationary noise which require effective noise reduction techniques. We present a new real-time deep learning algorithm which produces adaptively a signal opposing the noise so ...
Electroencephalography Signal Processing, Computer-Assisted Signal-To-Noise Ratio Deep Learning Noise
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Recognition of the Effect of Vocal Exercises by Fuzzy Triangular Naive Bayes, a Machine Learning Classifier: A Preliminary Analysis.

Journal of voice : official journal of the Voice Foundation Nov 11, 2022
OBJECTIVES: Machine learning (ML) methods allow the development of expert systems for pattern recognition and predictive analysis of intervention outcomes. It has been used in Voice Sciences, mainly to discriminate between healthy and dysphonic voice...
Female Reproducibility of Results Young Adult Humans Machine Learning Treatment Outcome Fuzzy Logic Predictive Value of Tests Adult Middle Aged Case-Control Studies Speech Production Measurement Voice Quality Dysphonia Voice Training Acoustics Speech Perception Speech Acoustics Bayes Theorem Signal Processing, Computer-Assisted
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Low-latency label-free image-activated cell sorting using fast deep learning and AI inferencing.

Biosensors & bioelectronics Nov 7, 2022
Classification and sorting of cells using image-activated cell sorting (IACS) systems can bring significant insight to biomedical sciences. Incorporating deep learning algorithms into IACS enables cell classification and isolation based on complex an...
Image Processing, Computer-Assisted Humans Biosensing Techniques Signal Processing, Computer-Assisted Algorithms Deep Learning
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A novel deep learning package for electrocardiography research.

Physiological measurement Nov 4, 2022
. In recent years, deep learning has blossomed in the field of electrocardiography (ECG) processing, outperforming traditional signal processing methods in a number of typical tasks; for example, classification, QRS detection and wave delineation. Al...
Deep Learning Electrocardiography Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Databases, Factual
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Detection of arrhythmia in 12-lead varied-length ECG using multi-branch signal fusion network.

Physiological measurement Oct 31, 2022
Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a critical role in early prevention and diagnosis of cardiovascular diseases. With the increase in widely available digital ECG data and the development of deep learning, multi-...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Diagnosis, Computer-Assisted Electrocardiography Humans Neural Networks, Computer Algorithms
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A review of critical challenges in MI-BCI: From conventional to deep learning methods.

Journal of neuroscience methods Oct 29, 2022
Brain-computer interfaces (BCIs) have achieved significant success in controlling external devices through the Electroencephalogram (EEG) signal processing. BCI-based Motor Imagery (MI) system bridges brain and external devices as communication tools...
Brain-Computer Interfaces Imagination Humans Deep Learning Algorithms Electroencephalography Signal Processing, Computer-Assisted
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Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Efficient processing of large-scale time-series data is an intricate problem in machine learning. Conventional sensor signal processing pipelines with hand-engineered feature extraction often involve huge computational costs with high dimensional dat...
Neural Networks, Computer Machine Learning Electroencephalography Seizures Signal Processing, Computer-Assisted Humans
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Pathological Voice Detection Based on Phase Reconstitution and Convolutional Neural Network.

Journal of voice : official journal of the Voice Foundation Oct 21, 2022
The nonlinear dynamic features can effectively describe the acoustic characteristics of normal and pathological voice. In this paper, the phase space reconstruction and convolution neural network are used to classify the normal and pathological voice...
Case-Control Studies Convolutional Neural Networks Time Factors Predictive Value of Tests Signal Processing, Computer-Assisted Female Humans Voice Disorders Reproducibility of Results Speech Production Measurement Male Voice Quality Nonlinear Dynamics Acoustics Neural Networks, Computer Speech Acoustics Sound Spectrography Databases, Factual Vocal Cord Paralysis
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Review of Fundamental Active Current Extraction Techniques for SAPF.

Sensors (Basel, Switzerland) Oct 19, 2022
The field of advanced digital signal processing methods is one of the fastest developing scientific and technical disciplines, and is important in the field of Shunt Active Power Filter control methods. Shunt active power filters are highly desirable...
Artificial Intelligence Machine Learning Algorithms Signal Processing, Computer-Assisted
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Deblurring of Sound Source Orientation Recognition Based on Deep Neural Network.

Sensors (Basel, Switzerland) Oct 18, 2022
Underwater target detection and identification technology are currently two of the most important research directions in the information disciplines. Traditionally, underwater target detection technology has struggled to meet the needs of current eng...
Sound Neural Networks, Computer Signal-To-Noise Ratio Signal Processing, Computer-Assisted
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