AIMC Topic: Signal Processing, Computer-Assisted

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Variable Projection Support Vector Machines and Some Applications Using Adaptive Hermite Expansions.

International journal of neural systems Dec 11, 2023
In this paper, we develop the so-called variable projection support vector machine (VP-SVM) algorithm that is a generalization of the classical SVM. In fact, the VP block serves as an automatic feature extractor to the SVM, which are trained simultan...
Algorithms Support Vector Machine Signal Processing, Computer-Assisted
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ECG-Based Multiclass Arrhythmia Classification Using Beat-Level Fusion Network.

Journal of healthcare engineering Nov 29, 2023
Cardiovascular disease (CVD) is one of the most severe diseases threatening human life. Electrocardiogram (ECG) is an effective way to detect CVD. In recent years, many methods have been proposed to detect arrhythmia using 12-lead ECG. In particular,...
Signal Processing, Computer-Assisted Algorithms Arrhythmias, Cardiac Humans Electrocardiography Neural Networks, Computer
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A fine-tuning deep residual convolutional neural network for emotion recognition based on frequency-channel matrices representation of one-dimensional electroencephalography.

Computer methods in biomechanics and biomedical engineering Nov 28, 2023
Emotion recognition (ER) plays a crucial role in enabling machines to perceive human emotional and psychological states, thus enhancing human-machine interaction. Recently, there has been a growing interest in ER based on electroencephalogram (EEG) s...
Deep Learning Convolutional Neural Networks Emotions Electroencephalography Humans Neural Networks, Computer Signal Processing, Computer-Assisted
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A Systematic Approach Focused on Machine Learning Models for Exploring the Landscape of Physiological Measurement and Estimation Using Photoplethysmography (PPG).

Journal of cardiovascular translational research Nov 27, 2023
A non-invasive optical technique known as photoplethysmography (PPG) can be used to provide various physiological measurements and estimations. PPG can be used to assess cardiovascular disease (CVD). Hypertension is a primary risk factor for CVD and ...
Heart Rate Blood Pressure Signal Processing, Computer-Assisted Machine Learning Humans Hypertension Prognosis Photoplethysmography Reproducibility of Results Predictive Value of Tests Diagnosis, Computer-Assisted
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Deep learning with fetal ECG recognition.

Physiological measurement Nov 27, 2023
Independent component analysis (ICA) is widely used in the extraction of fetal ECG (FECG). However, the amplitude, order, and positive or negative values of the ICA results are uncertain. The main objective is to present a novel approach to FECG reco...
Fetal Monitoring Electrocardiography Signal Processing, Computer-Assisted Algorithms Pregnancy Female Deep Learning Humans
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Hybrid optimization assisted channel selection of EEG for deep learning model-based classification of motor imagery task.

Biomedizinische Technik. Biomedical engineering Nov 8, 2023
OBJECTIVES: To design and develop an approach named HC + SMA-SSA scheme for classifying motor imagery task.
Signal Processing, Computer-Assisted Deep Learning Brain-Computer Interfaces Electroencephalography Algorithms Imagination
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IMH-Net: a convolutional neural network for end-to-end EEG motor imagery classification.

Computer methods in biomechanics and biomedical engineering Nov 7, 2023
As the main component of Brain-computer interface (BCI) technology, the classification algorithm based on EEG has developed rapidly. The previous algorithms were often based on subject-dependent settings, resulting in BCI needing to be calibrated for...
Humans Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Neural Networks, Computer Algorithms Imagination
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A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate.

Computer methods in biomechanics and biomedical engineering Nov 6, 2023
In today's world, people suffer from many fatal maladies, and stress is one of them. Excessive stress can have deleterious effects on the health, brain, mind, and nervous system of humans. The goal of this paper is to design a deep learningbased huma...
Electroencephalography Signal Processing, Computer-Assisted Brain Deep Learning Humans Heart Rate Neural Networks, Computer Stress, Physiological
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Comparative Analysis of Audio Processing Techniques on Doppler Radar Signature of Human Walking Motion Using CNN Models.

Sensors (Basel, Switzerland) Oct 26, 2023
Artificial intelligence (AI) radar technology offers several advantages over other technologies, including low cost, privacy assurance, high accuracy, and environmental resilience. One challenge faced by AI radar technology is the high cost of equipm...
Fourier Analysis Radar Humans Signal Processing, Computer-Assisted Artificial Intelligence Walking
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Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals.

BMC medical informatics and decision making Oct 19, 2023
BACKGROUND: Cardiac arrhythmia is a cardiovascular disorder characterized by disturbances in the heartbeat caused by electrical conduction anomalies in cardiac muscle. Clinically, ECG machines are utilized to diagnose and monitor cardiac arrhythmia n...
Cardiovascular Diseases Signal Processing, Computer-Assisted Deep Learning Humans Arrhythmias, Cardiac Electrocardiography Algorithms
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