AIMC Topic: Signal Processing, Computer-Assisted

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Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model.

Computers in biology and medicine Apr 3, 2025
OBJECTIVE: Sub-optimal uterine-placental perfusion and fetal nutrition can lead to intrauterine growth restriction (IUGR), also called fetal growth restriction (FGR). Antenatal cardiotocography (CTG) can aid in the early detection of IUGR. Reliably d...
Humans Neural Networks, Computer Infant, Newborn Deep Learning Cardiotocography Pregnancy Female Signal Processing, Computer-Assisted Fetal Growth Retardation
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An Energy-Efficient Configurable 1-D CNN-Based Multi-Lead ECG Classification Coprocessor for Wearable Cardiac Monitoring Devices.

IEEE transactions on biomedical circuits and systems Apr 3, 2025
Many electrocardiogram (ECG) processors have been widely used for cardiac monitoring. However, most of them have relatively low energy efficiency, and lack configurability in classification leads number and inference algorithm models. A multi-lead EC...
Wearable Electronic Devices Electrocardiography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Hardware Optimization and Implementation of a 16-Channel Neural Tree Classifier for On-Chip Closed-Loop Neuromodulation.

IEEE transactions on biomedical circuits and systems Apr 2, 2025
This work presents the development of on-chip machine learning (ML) classifiers for implantable neuromodulation system-on-chips (SoCs), aimed at detecting epileptic seizures for closed-loop neuromodulation applications. Tree-based classifiers have ga...
Electroencephalography Epilepsy Seizures Machine Learning Algorithms Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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Parallel convolutional neural networks for non-invasive cardiac hemodynamic estimation: integrating uncalibrated PPG signals with nonlinear feature analysis.

Physiological measurement Mar 31, 2025
Understanding cardiac hemodynamic status (CHS) is essential for accurate cardiovascular health assessment, as it is governed by key parameters such as cardiac output (CO), systemic vascular resistance (SVR), and arterial compliance (AC). This study a...
Nonlinear Dynamics Signal Processing, Computer-Assisted Heart Middle Aged Hemodynamics Convolutional Neural Networks Photoplethysmography Deep Learning Female Adult Male Humans Neural Networks, Computer
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Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer.

International journal of neural systems Mar 29, 2025
Epilepsy, as a prevalent neurological disorder, is characterized by its high incidence, sudden onset, and recurrent nature. The development of an accurate and real-time automatic seizure detection system is crucial for assisting clinicians in making ...
Electroencephalography Seizures Signal Processing, Computer-Assisted Humans Convolutional Neural Networks
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Flexible Patched Brain Transformer model for EEG decoding.

Scientific reports Mar 29, 2025
Decoding the human brain using non-invasive methods is a significant challenge. This study aims to enhance electroencephalography (EEG) decoding by developing of machine learning methods. Specifically, we propose the novel, attention-based Patched Br...
Humans Brain Electroencephalography Machine Learning Signal Processing, Computer-Assisted Algorithms
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A Systematic Review of Surface Electromyography in Sarcopenia: Muscles Involved, Signal Processing Techniques, Significant Features, and Artificial Intelligence Approaches.

Sensors (Basel, Switzerland) Mar 27, 2025
Sarcopenia, affecting between 1-29% of the older population, is characterized by an age-related loss of skeletal muscle mass and function. Reduced muscle strength, either in terms of quantity or quality, and poor physical performance are among the cr...
Artificial Intelligence Signal Processing, Computer-Assisted Sarcopenia Humans Electromyography Muscle, Skeletal Aged
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Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection.

Scientific reports Mar 27, 2025
The Guided Imagery technique is reported to be used by therapists all over the world in order to increase the comfort of patients suffering from a variety of disorders from mental to oncology ones and proved to be successful in numerous of ways. Poss...
Male Deep Learning Signal Processing, Computer-Assisted Memory, Short-Term Electroencephalography Female Young Adult Adult Humans Neural Networks, Computer Workload Imagery, Psychotherapy
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Multiscale analysis of heart sound signals in the wavelet domain for heart murmur detection.

Scientific reports Mar 25, 2025
A heart murmur is an atypical sound produced by blood flow through the heart. It can indicate a serious heart condition, so detecting heart murmurs is critical for identifying and managing cardiovascular diseases. However, current methods for identif...
Wavelet Analysis Humans Heart Auscultation Heart Murmurs Algorithms Signal Processing, Computer-Assisted Phonocardiography Support Vector Machine Heart Sounds
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Synthetic ECG signal generation using generative neural networks.

PloS one Mar 25, 2025
Electrocardiogram (ECG) datasets tend to be highly imbalanced due to the scarcity of abnormal cases. Additionally, the use of real patients' ECGs is highly regulated due to privacy issues. Therefore, there is always a need for more ECG data, especial...
Machine Learning Humans Signal Processing, Computer-Assisted Algorithms Neural Networks, Computer Electrocardiography Heart Rate
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