AIMC Topic: Signal Processing, Computer-Assisted

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The Effect of the MFCC Frame Length in Automatic Voice Pathology Detection.

Journal of voice : official journal of the Voice Foundation Apr 27, 2022
Automatic voice pathology detection is a research topic, which has gained increasing interest recently. Although methods based on deep learning are becoming popular, the classical pipeline systems based on a two-stage architecture consisting of a fea...
Humans Databases, Factual Dysphonia Speech Production Measurement Voice Quality Acoustics Sound Spectrography Speech Acoustics Voice Disorders Automation Predictive Value of Tests Signal Processing, Computer-Assisted Reproducibility of Results Support Vector Machine
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A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.

Sensors (Basel, Switzerland) Apr 26, 2022
Non-invasive foetal electrocardiography (NI-FECG) has become an important prenatal monitoring method in the hospital. However, due to its susceptibility to non-stationary noise sources and lack of robust extraction methods, the capture of high-qualit...
Female Deep Learning Algorithms Pregnancy Fetus Electrocardiography Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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Intelligent Monitoring System Based on Noise-Assisted Multivariate Empirical Mode Decomposition Feature Extraction and Neural Networks.

Computational intelligence and neuroscience Apr 25, 2022
Because of the nonlinearity and nonstationarity in the vibration signals of some rotating machinery, the analysis of these signals using conventional time- or frequency-domain methods has some drawbacks, and the results can be misleading. In this pap...
Signal-To-Noise Ratio Noise Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Key Feature Extraction Method of Electroencephalogram Signal by Independent Component Analysis for Athlete Selection and Training.

Computational intelligence and neuroscience Apr 15, 2022
Emotion is an important expression generated by human beings to external stimuli in the process of interaction with the external environment. It affects all aspects of our lives all the time. Accurate identification of human emotional states and furt...
Brain-Computer Interfaces Signal Processing, Computer-Assisted Athletes Humans Algorithms Artificial Intelligence Electroencephalography
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Deep Learning Methods for Multi-Channel EEG-Based Emotion Recognition.

International journal of neural systems Apr 2, 2022
Currently, Fourier-based, wavelet-based, and Hilbert-based time-frequency techniques have generated considerable interest in classification studies for emotion recognition in human-computer interface investigations. Empirical mode decomposition (EMD)...
Emotions Electroencephalography Humans Neural Networks, Computer Signal Processing, Computer-Assisted Deep Learning
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Engineering nonlinear epileptic biomarkers using deep learning and Benford's law.

Scientific reports Mar 30, 2022
In this study, we designed two deep neural networks to encode 16 features for early seizure detection in intracranial EEG and compared them and their frequency responses to 16 widely used engineered metrics to interpret their properties: epileptogeni...
Humans Signal Processing, Computer-Assisted Electroencephalography Biomarkers Epilepsy Deep Learning
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Heart rate variability for medical decision support systems: A review.

Computers in biology and medicine Mar 23, 2022
Heart Rate Variability (HRV) is a good predictor of human health because the heart rhythm is modulated by a wide range of physiological processes. This statement embodies both challenges to and opportunities for HRV analysis. Opportunities arise from...
Heart Rate Humans Electrocardiography Signal Processing, Computer-Assisted Artificial Intelligence
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Robust PVC Identification by Fusing Expert System and Deep Learning.

Biosensors Mar 22, 2022
Premature ventricular contraction (PVC) is one of the common ventricular arrhythmias, which may cause stroke or sudden cardiac death. Automatic long-term electrocardiogram (ECG) analysis algorithms could provide diagnosis suggestion and even early wa...
Signal Processing, Computer-Assisted Heart Rate Deep Learning Ventricular Premature Complexes Electrocardiography Expert Systems Humans Algorithms
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Computational bioacoustics with deep learning: a review and roadmap.

PeerJ Mar 21, 2022
Animal vocalisations and natural soundscapes are fascinating objects of study, and contain valuable evidence about animal behaviours, populations and ecosystems. They are studied in bioacoustics and ecoacoustics, with signal processing and analysis a...
Animals Signal Processing, Computer-Assisted Acoustics Ecosystem Vocalization, Animal Deep Learning
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Both Cross-Patient and Patient-Specific Seizure Detection Based on Self-Organizing Fuzzy Logic.

International journal of neural systems Mar 18, 2022
Automatic epilepsy detection is of great significance for the diagnosis and treatment of patients. Most detection methods are based on patient-specific models and have achieved good results. However, in practice, new patients do not have their own pr...
Electroencephalography Seizures Signal Processing, Computer-Assisted Algorithms Fuzzy Logic Humans
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