AIMC Topic: Signal Processing, Computer-Assisted

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Performance of Acoustic Measures for the Discrimination Among Healthy, Rough, Breathy, and Strained Voices Using the Feedforward Neural Network.

Journal of voice : official journal of the Voice Foundation Aug 23, 2022
OBJECTIVE: To identify and evaluate the best set of acoustic measures to discriminate among healthy, rough, breathy, and strained voices.
Voice Disorders Speech Production Measurement Sound Spectrography Speech Acoustics Voice Quality Feedforward Neural Networks Case-Control Studies Adolescent Signal Processing, Computer-Assisted Acoustics Predictive Value of Tests Male Middle Aged Young Adult Adult Neural Networks, Computer Algorithms Reproducibility of Results Aged Female Humans
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A Machine Learning Perspective on fNIRS Signal Quality Control Approaches.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 19, 2022
Despite a rise in the use of functional Near Infra-Red Spectroscopy (fNIRS) to study neural systems, fNIRS signal processing is not standardized and is highly affected by empirical and manual procedures. At the beginning of any signal processing proc...
Signal Processing, Computer-Assisted Quality Control Machine Learning Spectroscopy, Near-Infrared Humans Neural Networks, Computer
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Visualization deep learning model for automatic arrhythmias classification.

Physiological measurement Aug 12, 2022
With the improvement of living standards, heart disease has become one of the common diseases that threaten human health. Electrocardiography (ECG) is an effective way of diagnosing cardiovascular diseases. With the rapid growth of ECG examinations a...
Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Algorithms Deep Learning Humans Neural Networks, Computer
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Deep Learning-Based Data Augmentation and Model Fusion for Automatic Arrhythmia Identification and Classification Algorithms.

Computational intelligence and neuroscience Aug 11, 2022
Automated ECG-based arrhythmia detection is critical for early cardiac disease prevention and diagnosis. Recently, deep learning algorithms have been widely applied for arrhythmia detection with great success. However, the lack of labeled ECG data an...
Signal Processing, Computer-Assisted Deep Learning Electrocardiography Arrhythmias, Cardiac Humans Heart Rate Algorithms
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Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring.

Sensors (Basel, Switzerland) Aug 5, 2022
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into its individual sub-components. Over the years, signal processing and machine learning algorithms have been combined to achieve this. Many publications...
Machine Learning Algorithms Reproducibility of Results Signal Processing, Computer-Assisted Physical Phenomena
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Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain.

Sensors (Basel, Switzerland) Aug 3, 2022
The massive environmental noise interference and insufficient effective sample degradation data of the intelligent fault diagnosis performance methods pose an extremely concerning issue. Realising the challenge of developing a facile and straightforw...
Signal Processing, Computer-Assisted Signal-To-Noise Ratio Fourier Analysis Neural Networks, Computer Algorithms
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Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs.

IEEE transactions on neural networks and learning systems Aug 3, 2022
Due to the huge success and rapid development of convolutional neural networks (CNNs), there is a growing demand for hardware accelerators that accommodate a variety of CNNs to improve their inference latency and energy efficiency, in order to enable...
Computers Signal Processing, Computer-Assisted Acceleration Neural Networks, Computer Algorithms
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A deep learning framework for epileptic seizure detection based on neonatal EEG signals.

Scientific reports Jul 29, 2022
Electroencephalogram (EEG) is one of the main diagnostic tests for epilepsy. The detection of epileptic activity is usually performed by a human expert and is based on finding specific patterns in the multi-channel electroencephalogram. This is a dif...
Infant, Newborn Humans Signal Processing, Computer-Assisted Epilepsy Neural Networks, Computer Electroencephalography Deep Learning Seizures
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Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique.

Sensors (Basel, Switzerland) Jul 27, 2022
Cardiac arrhythmias pose a significant danger to human life; therefore, it is of utmost importance to be able to efficiently diagnose these arrhythmias promptly. There exist many techniques for the detection of arrhythmias; however, the most widely a...
Arrhythmias, Cardiac Deep Learning Heart Rate Electrocardiography Signal Processing, Computer-Assisted Humans Algorithms
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Standardizing continuous data classifications in a virtual T-maze using two-layer feedforward networks.

Scientific reports Jul 27, 2022
There continues to be difficulties when it comes to replication of studies in the field of Psychology. In part, this may be caused by insufficiently standardized analysis methods that may be subject to state dependent variations in performance. In th...
Signal Processing, Computer-Assisted Neural Networks, Computer Movement
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