AI Medical Compendium Topic:
Signal Processing, Computer-Assisted

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A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks.

Computers in biology and medicine
As the number of people suffering from cardiovascular diseases increases every year, it becomes essential to have an accurate automatic electrocardiogram (ECG) diagnosis system. Researchers have adopted different methods, such as deep learning, to in...

A Prediction Model of Defecation Based on BP Neural Network and Bowel Sound Signal Features.

Sensors (Basel, Switzerland)
(1) Background: Incontinence and its complications pose great difficulties in the care of the disabled. Currently, invasive incontinence monitoring methods are too invasive, expensive, and bulky to be widely used. Compared with previous methods, bowe...

Pulse Signal Analysis Based on Deep Learning Network.

BioMed research international
Pulse signal is one of the most important physiological features of human body, which is caused by the cyclical contraction and diastole. It has great research value and broad application prospect in the detection of physiological parameters, the dev...

Probabilistic, Recurrent, Fuzzy Neural Network for Processing Noisy Time-Series Data.

IEEE transactions on neural networks and learning systems
The rapidly increasing volumes of data and the need for big data analytics have emphasized the need for algorithms that can accommodate incomplete or noisy data. The concept of recurrency is an important aspect of signal processing, providing greater...

Cross-Modal Reconstruction for Tactile Signal in Human-Robot Interaction.

Sensors (Basel, Switzerland)
A human can infer the magnitude of interaction force solely based on visual information because of prior knowledge in human-robot interaction (HRI). A method of reconstructing tactile information through cross-modal signal processing is proposed in t...

Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model.

Sensors (Basel, Switzerland)
An electrocardiogram (ECG) is an essential piece of medical equipment that helps diagnose various heart-related conditions in patients. An automated diagnostic tool is required to detect significant episodes in long-term ECG records. It is a very cha...

End-to-End Continuous/Discontinuous Feature Fusion Method with Attention for Rolling Bearing Fault Diagnosis.

Sensors (Basel, Switzerland)
Mechanical equipment failure may cause massive economic and even life loss. Therefore, the diagnosis of the failures of machine parts in time is crucial. The rolling bearings are one of the most valuable parts, which have attracted the focus of fault...

A Machine Learning Perspective on fNIRS Signal Quality Control Approaches.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Despite a rise in the use of functional Near Infra-Red Spectroscopy (fNIRS) to study neural systems, fNIRS signal processing is not standardized and is highly affected by empirical and manual procedures. At the beginning of any signal processing proc...

Visualization deep learning model for automatic arrhythmias classification.

Physiological measurement
With the improvement of living standards, heart disease has become one of the common diseases that threaten human health. Electrocardiography (ECG) is an effective way of diagnosing cardiovascular diseases. With the rapid growth of ECG examinations a...