The main purpose of this paper is to provide information on how to create a convolutional
neural network (CNN) for extracting features from EEG signals. Our task was to understand …

Electrocardiography (ECG) is vital in diagnosing and preventing cardiovascular diseases
(CVDs), which is the third leading cause of global mortality. Real-time ECG monitoring helps …

An ambulatory electrocardiogram (ECG) is a comparatively recent technology and a gold
standard for diagnosing heart activities. Motion artifacts and baseline wander in ambulatory …

The AI-CDSS is a powerful tool designed to assist healthcare professionals in making
informed and evidence-based decisions in patient care. It leverages artificial intelligence …

This paper reports on the design and development of a customized Automated Optical
Inspection (AOI) solution aimed at detecting defects in a production line related to the correct …

We show the importance of designing and using application-specific, parameterized, custom
loss functions in predictive Deep Neural Network (DNN) applications. We consider a cellular …

The artificial intelligence clinical decision support system, or AI-CDSS, is a potent tool that
helps medical practitioners make well-informed, evidence-based choices about patient care …

Electrocardiogram (ECG) is a crucial tool for diagnosing cardiovascular diseases, while it is
typically contaminated by numerous sorts of noise or artifacts, for instance, non-stationary …

Motion interference is a major issue in the process of acquiring electrocardiogram (ECG)
signals. It introduces noise and artifacts into the ECG signal, causing signal distortion and …

The AI-CDSS (Artificial Intelligence Clinical Decision Support System) is a powerful tool
designed to assist healthcare professionals in making informed and evidence-based …