AIMC Topic: Signal Processing, Computer-Assisted

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Interpretable Multi-Branch Architecture for Spatiotemporal Neural Networks and Its Application in Seizure Prediction.

IEEE journal of biomedical and health informatics Jan 7, 2025
Currently, spatiotemporal convolutional neural networks (CNNs) for electroencephalogram (EEG) signals have emerged as promising tools for seizure prediction (SP), which explore the spatiotemporal biomarkers in an epileptic brain. Generally, these CNN...
Female Young Adult Adult Humans Neural Networks, Computer Brain Male Signal Processing, Computer-Assisted Electroencephalography Seizures
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Acoustic COVID-19 Detection Using Multiple Instance Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
In the COVID-19 pandemic, a rigorous testing scheme was crucial. However, tests can be time-consuming and expensive. A machine learning-based diagnostic tool for audio recordings could enable widespread testing at low costs. In order to achieve compa...
Multiple-Instance Learning Algorithms Algorithms SARS-CoV-2 Signal Processing, Computer-Assisted Humans Machine Learning COVID-19
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Multiscale Spatial-Temporal Feature Fusion Neural Network for Motor Imagery Brain-Computer Interfaces.

IEEE journal of biomedical and health informatics Jan 7, 2025
Motor imagery, one of the main brain-computer interface (BCI) paradigms, has been extensively utilized in numerous BCI applications, such as the interaction between disabled people and external devices. Precise decoding, one of the most significant a...
Female Young Adult Adult Male Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Imagination Neural Networks, Computer
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Step Width Estimation in Individuals With and Without Neurodegenerative Disease via a Novel Data-Augmentation Deep Learning Model and Minimal Wearable Inertial Sensors.

IEEE journal of biomedical and health informatics Jan 7, 2025
Step width is vital for gait stability, postural balance control, and fall risk reduction. However, estimating step width typically requires either fixed cameras or a full kinematic body suit of wearable inertial measurement units (IMUs), both of whi...
Gait Accelerometry Signal Processing, Computer-Assisted Neurodegenerative Diseases Walking Adult Female Wearable Electronic Devices Biomechanical Phenomena Middle Aged Aged Humans Postural Balance Male Young Adult Deep Learning
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TCNN-KAN: Optimized CNN by Kolmogorov-Arnold Network and Pruning Techniques for sEMG Gesture Recognition.

IEEE journal of biomedical and health informatics Jan 7, 2025
Surface electromyography (sEMG) is a non-invasive technique that records the electrical signals generated by muscle activity. sEMG signals are widely used in the field of biomedical and health informatics for diagnosing and monitoring neuromuscular d...
Gestures Signal Processing, Computer-Assisted Electromyography Neural Networks, Computer Algorithms Female Young Adult Adult Male Humans
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MFRC-Net: Multi-Scale Feature Residual Convolutional Neural Network for Motor Imagery Decoding.

IEEE journal of biomedical and health informatics Jan 7, 2025
Motor imagery (MI) decoding is the basis of external device control via electroencephalogram (EEG). However, the majority of studies prioritize enhancing the accuracy of decoding methods, often overlooking the magnitude and computational resource dem...
Humans Neural Networks, Computer Convolutional Neural Networks Imagination Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces
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Residual Self-Calibrated Network With Multi-Scale Channel Attention for Accurate EOG-Based Eye Movement Classification.

IEEE journal of biomedical and health informatics Jan 7, 2025
Recently, Electrooculography-based Human-Computer Interaction (EOG-HCI) technology has gained widespread attention in industrial areas, including assistive robots, augmented reality in gaming, etc. However, as the fundamental step of EOG-HCI, accurat...
Humans Neural Networks, Computer Algorithms Eye Movements Signal Processing, Computer-Assisted Electrooculography
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Predicting Blood Pressures for Pregnant Women by PPG and Personalized Deep Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
Blood pressure (BP) is predicted by this effort based on photoplethysmography (PPG) data to provide effective pre-warning of possible preeclampsia of pregnant women. Towards frequent BP measurement, a PPG sensor device is utilized in this study as a ...
Signal Processing, Computer-Assisted Young Adult Adult Deep Learning Photoplethysmography Blood Pressure Determination Blood Pressure Humans Pregnancy Female
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A Fusion Network With Stacked Denoise Autoencoder and Meta Learning for Lateral Walking Gait Phase Recognition and Multi-Step-Ahead Prediction.

IEEE journal of biomedical and health informatics Jan 7, 2025
Lateral walking gait phase recognition and prediction are the premise of hip exoskeleton application in lateral resistance walk exercise. We presented a fusion network with stacked denoise autoencoder and meta learning (SDA-NN-ML) to recognize gait p...
Signal Processing, Computer-Assisted Machine Learning Humans Adult Gait Female Walking Male Neural Networks, Computer Autoencoder Young Adult Support Vector Machine
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An EEG-based emotion recognition method by fusing multi-frequency-spatial features under multi-frequency bands.

Journal of neuroscience methods Jan 6, 2025
BACKGROUND: Recognition of emotion changes is of great significance to a person's physical and mental health. At present, EEG-based emotion recognition methods are mainly focused on time or frequency domains, but rarely on spatial information. Theref...
Male Female Emotions Electroencephalography Humans Brain Mapping Young Adult Signal Processing, Computer-Assisted Neural Networks, Computer Adult Recognition, Psychology Brain
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