AIMC Topic: Signal Processing, Computer-Assisted

Clear Filters Showing 1861 to 1870 of 2081 articles

Contrastive Self-supervised EEG Representation Learning for Emotion Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Self-supervised learning provides an effective approach to leverage a large amount of unlabeled data. Numerous previous studies have indicated that applying self-supervision to physiological signals can yield better representations of the signals. In...
Supervised Machine Learning Emotions Humans Algorithms Electroencephalography Signal Processing, Computer-Assisted
View on PubMed DOI

Audio Cough Analysis by Parametric Modelling of Weighted Spectrograms to Interpret the Output of Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This study explores the feasibility of employing eXplainable Artificial Intelligence (XAI) methodologies for the analysis of cough patterns in respiratory diseases. A cohort of 20 adult patients, all presenting persistent cough as a symptom of respir...
Male Humans Middle Aged Neural Networks, Computer Convolutional Neural Networks Cough Female Adult Aged Signal Processing, Computer-Assisted Pulmonary Disease, Chronic Obstructive Sound Spectrography
View on PubMed DOI

EEG Tensorization Enhances CNN-Based Outcome Classification in Comatose Patients Following a Cardiac Arrest.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Standard diagnostic methods for evaluating the severity of brain injuries resulting from cardiac arrest, such as the Glasgow Coma Scale, exhibit subjective biases that lead to potentially fatal misclassifications, where life-support systems are prema...
Humans Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted ROC Curve Heart Arrest Electroencephalography Coma
View on PubMed DOI

A Hybrid GCN-LSTM Model for Ventricular Arrhythmia Classification Based on ECG Pattern Similarity.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Accurate differentiation between Ventricular Tachycardia (VT) and Ventricular Fibrillation (VF) is essential in the field of cardiology. Recent advancements in deep learning have facilitated automated arrhythmia recognition, surpassing traditional el...
Humans Neural Networks, Computer Algorithms Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Tachycardia, Ventricular Ventricular Fibrillation
View on PubMed DOI

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
For seemless control of advanced hand prostheses and augmented reality, accurate and immediate hand gestures recognition is essential. Surface electromyography (sEMG) signals obtained from the forearm are commonly employed for this purpose. In this p...
Graph Neural Networks Pattern Recognition, Automated Forearm Algorithms Humans Signal Processing, Computer-Assisted Male Hand Neural Networks, Computer Gestures Electromyography Machine Learning
View on PubMed DOI

A Novel Machine-Learning-Based Noise Detection Method for Photoplethysmography Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Wearable devices are widespread for continuous health monitoring; capturing various physiological parameters for remote health monitoring and early detection of health issues. These devices are susceptible to interference such as Motion Artifacts (MA...
Algorithms Wearable Electronic Devices Photoplethysmography Signal Processing, Computer-Assisted Artifacts Signal-To-Noise Ratio Humans Machine Learning
View on PubMed DOI

Wireless Earphone-based Real-Time Monitoring of Breathing Exercises: A Deep Learning Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Several therapy routines require deep breathing exercises as a key component and patients undergoing such therapies must perform these exercises regularly. Assessing the outcome of a therapy and tailoring its course necessitates monitoring a patient'...
Deep Learning Monitoring, Physiologic Signal Processing, Computer-Assisted Humans Algorithms Wireless Technology Breathing Exercises
View on PubMed DOI

Explainable Multimodal Deep Learning for Heart Sounds and Electrocardiogram Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
We introduce a Gradient-weighted Class Activation Mapping (Grad-CAM) methodology to assess the performance of five distinct models for binary classification (normal/abnormal) of synchronized heart sounds and electrocardiograms. The applied models com...
Neural Networks, Computer Algorithms Deep Learning Humans Signal Processing, Computer-Assisted Heart Sounds ROC Curve Electrocardiography
View on PubMed DOI

Federated Learning for Enhanced ECG Signal Classification with Privacy Awareness.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper presents a novel approach for classifying electrocardiogram (ECG) signals in healthcare applications using federated learning and stacked convolutional neural networks (CNNs). Our innovative technique leverages the distributed nature of fe...
Neural Networks, Computer Machine Learning Algorithms Humans Electrocardiography Federated Learning Signal Processing, Computer-Assisted Privacy
View on PubMed DOI

ECG-based Daily Activity Recognition Using 1D Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This study presents an approach to human activity recognition (HAR) using electrocardiogram (ECG) signals. We explore the application of ECG for not only providing cardiophysiological information but also for more extensive patient surveillance, incl...
Neural Networks, Computer Algorithms Female Humans Electrocardiography Adult Signal Processing, Computer-Assisted Male Activities of Daily Living Convolutional Neural Networks
View on PubMed DOI
Popular Topics
Recent Journals