AIMC Topic: Signal Processing, Computer-Assisted
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Dual-input robust diagnostics for railway point machines via audio signals.
Network (Bristol, England)
Jun 11, 2024
Railway Point Machine (RPM) is a fundamental component of railway infrastructure and plays a crucial role in ensuring the safe operation of trains. Its primary function is to divert trains from one track to another, enabling connections between diffe...
LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection.
Physical and engineering sciences in medicine
Jun 11, 2024
Alzheimer's disease (AD) is a progressive and incurable neurologi-cal disorder with a rising mortality rate, worsened by error-prone, time-intensive, and expensive clinical diagnosis methods. Automatic AD detection methods using hand-crafted Electroe...
Artificial Intelligence-Based Atrial Fibrillation Recognition Method for Motion Artifact-Contaminated Electrocardiogram Signals Preprocessed by Adaptive Filtering Algorithm.
Sensors (Basel, Switzerland)
Jun 11, 2024
Atrial fibrillation (AF) is a common arrhythmia, and out-of-hospital, wearable, long-term electrocardiogram (ECG) monitoring can help with the early detection of AF. The presence of a motion artifact (MA) in ECG can significantly affect the character...
Epilepsy detection based on multi-head self-attention mechanism.
PloS one
Jun 11, 2024
CNN has demonstrated remarkable performance in EEG signal detection, yet it still faces limitations in terms of global perception. Additionally, due to individual differences in EEG signals, the generalization ability of epilepsy detection models is ...
An end-to-end multi-task motor imagery EEG classification neural network based on dynamic fusion of spectral-temporal features.
Computers in biology and medicine
Jun 8, 2024
Electroencephalograph (EEG) brain-computer interfaces (BCI) have potential to provide new paradigms for controlling computers and devices. The accuracy of brain pattern classification in EEG BCI is directly affected by the quality of features extract...
CLADSI: Deep Continual Learning for Alzheimer's Disease Stage Identification Using Accelerometer Data.
IEEE journal of biomedical and health informatics
Jun 6, 2024
Alzheimer's disease (AD) is a neurodegenerative disorder that can cause a significant impairment in physical and cognitive functions. Gait disturbances are also reported as a symptom of AD. Previous works have used Convolutional Neural Networks (CNNs...
IoMT-Based Smart Healthcare Detection System Driven by Quantum Blockchain and Quantum Neural Network.
IEEE journal of biomedical and health informatics
Jun 6, 2024
Electrocardiogram (ECG) is the main criterion for arrhythmia detection. As a means of identification, ECG leakage seems to be a common occurrence due to the development of the Internet of Medical Things. The advent of the quantum era makes it difficu...
Signal automatic modulation based on AMC neural network fusion.
PloS one
Jun 6, 2024
With the rapid development of modern communication technology, it has become a core problem in the field of communication to find new ways to effectively modulate signals and to classify and recognize the results of automatic modulation. To further i...
A Multi-Level Interpretable Sleep Stage Scoring System by Infusing Experts' Knowledge Into a Deep Network Architecture.
IEEE transactions on pattern analysis and machine intelligence
Jun 5, 2024
In recent years, deep learning has shown potential and efficiency in a wide area including computer vision, image and signal processing. Yet, translational challenges remain for user applications due to a lack of interpretability of algorithmic decis...
Energy-efficient dynamic sensor time series classification for edge health devices.
Computer methods and programs in biomedicine
Jun 4, 2024
BACKGROUND AND OBJECTIVE: Time series data plays a crucial role in the realm of the Internet of Things Medical (IoMT). Through machine learning (ML) algorithms, online time series classification in IoMT systems enables reliable real-time disease dete...
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