IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
NewsandVibes

Technological surveillance in the fight against illegal mining in Ghana

Illegal mining is not only an environmental issue. It is an economic, social and public-health crisis. Leveraging modern surveillance technology, alongside firm enforcement and sustained community ...
Scientific Research Publishing

Implementing an Electrocardiogram Suite in the Emergency Department to Decrease Door-to-EKG Time ()

Triage, Critical Clinical Workflow Process, Chest Pain, Electrocardiogram (EKG), Door-to-EKG (DTE) Time Share and Cite: ...
Frontiers

Reinforcement Learning-Guided Optimization of ECG Features for Enhanced Heart Disease Prediction using Stacked CNNs

The final, formatted version of the article will be published soon. Accurate and timely heart disease diagnosis through intelligent ECG signal processing is essential to reducing death rates and ...
Frontiers

Deep Learning-Based Early Prediction of Life-Threatening Ventricular Arrhythmias Using Long-Term Holter ECG Signals

1 Central People’s Hospital of Zhanjiang, Zhanjiang, China 2 Shenzhen Dawei Medical Technology Development Co., Ltd., Shenzhen, China, Shenzhen, China The final, formatted version of the article will ...