This study aims to identify a set of indicators to estimate cognitive workload using a
multimodal sensing approach and machine learning. A set of three cognitive tests were …

Introduction This study conducts a comprehensive exploration of the neurocognitive
processes underlying consumer credit decision-making using cutting-edge techniques from …

Background Low back pain (LBP) disproportionately affects older black adults, often leading
to inadequate treatment due to clinician biases. Objective pain measures are imperative …

Construction is one of the most hazardous industries, in part because it involves dynamic
and cognitively demanding tasks that tax workers' mental resources. Though some previous …

Analysis of brain signals is essential to the study of mental states and various neurological
conditions. The two most prevalent noninvasive signals for measuring brain activities are …

Mental workload (MWL) identification is vital to know human cognitive functioning,
performance, and well-being. In this work, we develop models for identifying low vs. high …

The dorsal and ventral attention networks (DAN & VAN) provide a framework for studying
attentional modulation of pain. It has been argued that cognitive demand distracts attention …

Background As a new technology, electronic wrist‐ankle acupuncture (E‐WAA) combines
the advantages of wrist‐ankle acupuncture and transcutaneous electrical nerve stimulation …

Background Stroke causes long-term disabilities, highlighting the need for innovative
rehabilitation strategies for reducing residual impairments. This study explored the potential …

The nature of firefighters' duties requires them to work for long periods under unfavorable
conditions. To perform their jobs effectively, they are required to endure long hours of …