AIMC Topic: Signal Processing, Computer-Assisted

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Deep Learning for Pediatric Sleep Staging From Photoplethysmography: A Transfer Learning Approach From Adults to Children.

IEEE transactions on bio-medical engineering Jan 21, 2025
BACKGROUND: Sleep staging is critical for diagnosing sleep disorders. Traditional methods in clinical settings involve time-intensive scoring procedures. Recent advancements in data-driven algorithms using photoplethysmogram (PPG) time series have sh...
Sleep Stages Deep Learning Child, Preschool Child Photoplethysmography Signal Processing, Computer-Assisted Polysomnography Female Adult Male Humans Algorithms
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Enhancing Domain Diversity of Transfer Learning-Based SSVEP-BCIs by the Reconstruction of Channel Correlation.

IEEE transactions on bio-medical engineering Jan 21, 2025
OBJECTIVE: The application of transfer learning, specifically pre-training and fine-tuning, in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) has been demonstrated to effectively improve the classification perform...
Female Young Adult Adult Humans Algorithms Signal Processing, Computer-Assisted Brain-Computer Interfaces Evoked Potentials, Visual Male Deep Learning Electroencephalography
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Deep Clustering for Epileptic Seizure Detection.

IEEE transactions on bio-medical engineering Jan 21, 2025
UNLABELLED: Epilepsy is a neurological disorder characterized by recurrent epileptic seizures, which are often unpredictable and increase mortality and morbidity risks.
Electroencephalography Epilepsy Databases, Factual Seizures Signal Processing, Computer-Assisted Deep Learning Humans Cluster Analysis Algorithms
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Multiscale feature enhanced gating network for atrial fibrillation detection.

Computer methods and programs in biomedicine Jan 20, 2025
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is a significant cause of life-threatening heart disease due to its potential to lead to stroke and heart failure. Although deep learning-assisted diagnosis of AF based on ECG holds significance in c...
Humans Neural Networks, Computer Electrocardiography Algorithms Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Atrial Fibrillation Deep Learning
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A Deep Learning Approach for Mental Fatigue State Assessment.

Sensors (Basel, Switzerland) Jan 19, 2025
This study investigates mental fatigue in sports activities by leveraging deep learning techniques, deviating from the conventional use of heart rate variability (HRV) feature analysis found in previous research. The study utilizes a hybrid deep neur...
Support Vector Machine Algorithms Signal Processing, Computer-Assisted Heart Rate Deep Learning Mental Fatigue Humans Electrocardiography Neural Networks, Computer
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Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification.

PloS one Jan 16, 2025
In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. However, de...
Imagination Convolutional Neural Networks Electroencephalography Brain-Computer Interfaces Humans Signal-To-Noise Ratio Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Edge intelligence for poultry welfare: Utilizing tiny machine learning neural network processors for vocalization analysis.

PloS one Jan 16, 2025
The health of poultry flock is crucial in sustainable farming. Recent advances in machine learning and speech analysis have opened up opportunities for real-time monitoring of the behavior and health of flock. However, there has been little research ...
Algorithms Animals Chickens Signal Processing, Computer-Assisted Animal Welfare Vocalization, Animal Neural Networks, Computer Machine Learning
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A Deep and Interpretable Learning Approach for Long-Term ECG Clinical Noise Classification.

IEEE transactions on bio-medical engineering Jan 15, 2025
OBJECTIVE: In Long-Term Monitoring (LTM), noise significantly impacts the quality of the electrocardiogram (ECG), posing challenges for accurate diagnosis and time-consuming analysis. The clinical severity of noise refers to the difficulty in interpr...
Electrocardiography Signal Processing, Computer-Assisted Algorithms Databases, Factual Humans Deep Learning Neural Networks, Computer
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Supervised Contrastive Learning-Based Domain Generalization Network for Cross-Subject Motor Decoding.

IEEE transactions on bio-medical engineering Jan 15, 2025
Developing an electroencephalogram (EEG)-based motor imagery and motor execution (MI/ME) decoding system that is both highly accurate and calibration-free for cross-subject applications remains challenging due to domain shift problem inherent in such...
Humans Electroencephalography Signal Processing, Computer-Assisted Supervised Machine Learning Algorithms Adult Male
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Interpretable machine learning models for COPD ease of breathing estimation.

Medical & biological engineering & computing Jan 14, 2025
Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide and greatly reduces the quality of life. Utilizing remote monitoring has been shown to improve quality of life and reduce exacerbations, but remains an ongoing area of...
Aged Humans Pulmonary Disease, Chronic Obstructive Machine Learning Monitoring, Physiologic Male Female Signal Processing, Computer-Assisted Respiration Middle Aged Quality of Life Wearable Electronic Devices
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