AIMC Topic: Signal Processing, Computer-Assisted

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Edge Computing System for Automatic Detection of Chronic Respiratory Diseases Using Audio Analysis.

Journal of medical systems Mar 4, 2025
Chronic respiratory diseases affect people worldwide, but conventional diagnostic methods may not be accessible in remote locations far from population centers. Sounds from the human respiratory system have displayed potential in autonomously detecti...
Humans Artificial Intelligence Machine Learning Pulmonary Disease, Chronic Obstructive Asthma Sensitivity and Specificity Female Aged Adult Chronic Disease Signal Processing, Computer-Assisted Respiratory Sounds Male Middle Aged Smartphone
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MLFusion: Multilevel Data Fusion using CNNs for atrial fibrillation detection.

Computers in biology and medicine Mar 1, 2025
Data fusion, involving the simultaneous integration of signals from multiple sensors, is an emerging field that facilitates more accurate inferences in instrumentation applications. This paper presents a novel fusion methodology for multi-sensor mult...
Atrial Fibrillation Photoplethysmography Electrocardiography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Databases, Factual
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A hybrid network based on multi-scale convolutional neural network and bidirectional gated recurrent unit for EEG denoising.

Neuroscience Feb 28, 2025
Electroencephalogram (EEG) signals are time series data containing abundant brain information. However, EEG frequently contains various artifacts, such as electromyographic, electrooculographic, and electrocardiographic. These artifacts can change EE...
Artifacts Signal-To-Noise Ratio Convolutional Neural Networks Electroencephalography Signal Processing, Computer-Assisted Brain Deep Learning Humans Neural Networks, Computer
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Complex-Valued Convolutional Gated Recurrent Neural Network for Ultrasound Beamforming.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Ultrasound detection is a potent tool for the clinical diagnosis of various diseases due to its real-time, convenient, and noninvasive qualities. Yet, existing ultrasound beamforming and related methods face a big challenge to improve both the qualit...
Image Processing, Computer-Assisted Signal Processing, Computer-Assisted Recurrent Neural Networks Humans Neural Networks, Computer Algorithms Ultrasonography
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Enhancing atrial fibrillation detection in PPG analysis with sparse labels through contrastive learning.

Computer methods and programs in biomedicine Feb 27, 2025
BACKGROUND: With the advancements in wearable technology, photoplethysmography (PPG) has emerged as a promising technique for detecting atrial fibrillation (AF) due to its ability to capture cardiovascular information. However, current deep learning-...
Wearable Electronic Devices Photoplethysmography Signal Processing, Computer-Assisted Atrial Fibrillation Algorithms Databases, Factual Deep Learning Humans Machine Learning
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Gesture Recognition Achieved by Utilizing LoRa Signals and Deep Learning.

Sensors (Basel, Switzerland) Feb 27, 2025
This study proposes a novel gesture recognition system based on LoRa technology, integrating advanced signal preprocessing, adaptive segmentation algorithms, and an improved SS-ResNet50 deep learning model. Through the combination of residual learnin...
Pattern Recognition, Automated Deep Learning Humans Gestures Algorithms Signal Processing, Computer-Assisted
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Investigation of Inter-Patient, Intra-Patient, and Patient-Specific Based Training in Deep Learning for Classification of Heartbeat Arrhythmia.

Cardiovascular engineering and technology Feb 26, 2025
Effective diagnosis of electrocardiogram (ECG) is one of the simplest and fastest ways to assess the heart's function. In the recent decade, various attempts have been made to automate the classification of electrocardiogram signals to detect heartbe...
Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Humans Databases, Factual Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Electrocardiography Action Potentials Predictive Value of Tests
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A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images.

Sensors (Basel, Switzerland) Feb 26, 2025
Our research introduces a framework that integrates edge computing, quantum transfer learning, and federated learning to revolutionize pain level assessment through ECG signal analysis. The primary focus lies in developing a robust, privacy-preservin...
Neural Networks, Computer Machine Learning Algorithms Pain Humans Wavelet Analysis Electrocardiography Federated Learning Pain Measurement Signal Processing, Computer-Assisted
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Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal.

Sensors (Basel, Switzerland) Feb 26, 2025
Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimation of RRs for cardiopulmonary function is essential for home health monitoring systems. However, machine learning (ML) algorithm errors embedded in hea...
Male Photoplethysmography Monitoring, Physiologic Signal Processing, Computer-Assisted Dyspnea Respiratory Rate Algorithms Female Aged Uncertainty Humans Machine Learning
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Deep Learning Approach for Automatic Heartbeat Classification.

Sensors (Basel, Switzerland) Feb 25, 2025
Arrhythmia is an irregularity in the rhythm of the heartbeat, and it is the primary method for detecting cardiac abnormalities. The electrocardiogram (ECG) identifies arrhythmias and is one of the methods used to diagnose cardiac issues. Traditional ...
Arrhythmias, Cardiac Humans Heart Rate Deep Learning Algorithms Electrocardiography Signal Processing, Computer-Assisted
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