Unsupervised ECG analysis: A review

K Nezamabadi, N Sardaripour, B Haghi… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Electrocardiography is the gold standard technique for detecting abnormal heart conditions.
Automatic detection of electrocardiogram (ECG) abnormalities helps clinicians analyze the …

Monitoring Inattention in Construction Workers Caused by Physical Fatigue Using Electrocardiograph (ECG) and Galvanic Skin Response (GSR) Sensors

Y Ouyang, M Liu, C Cheng, Y Yang, S He, L Zheng - Sensors, 2023 - mdpi.com
Physical fatigue is frequent for heavy manual laborers like construction workers, but it
causes distraction and may lead to safety incidents. The purpose of this study is to develop …

Unsupervised clustering of individuals sharing selective attentional focus using physiological synchrony

IV Stuldreher, A Merasli, N Thammasan… - Frontiers in …, 2022 - frontiersin.org
Research on brain signals as indicators of a certain attentional state is moving from
laboratory environments to everyday settings. Uncovering the attentional focus of individuals …

Estimation of Piloting Attention Level Based on the Correlation of Pupil Dilation and EEG

M Ghaderi, H Ben Abdessalem, M Antoine… - … on Intelligent Tutoring …, 2023 - Springer
An aircrew's behaviour greatly affects aviation safety and efficiency, especially in emergency
situations. Considering vision is the primary method by which pilots acquire information, the …

Evaluating focused attention level using mouse operation data

Y Li, J Niu, Z Cai - 2020 Chinese Automation Congress (CAC), 2020 - ieeexplore.ieee.org
Focused Attention Level (FAL) is important in many tasks such as driving, online learning,
and many computer-related operations. Previous approaches to evaluation of FAL usually …

You Sound Relaxed Now–Measuring Restorative Effects from Speech Signals

Y Ma, J Li, H Drewes, A Butz - IFIP Conference on Human-Computer …, 2021 - Springer
The recently proposed restorative environments have the potential to restore attention and
help against fatigue, but how can these effects be verified? We present a novel …

XplainScar: Explainable Artificial Intelligence to Identify and Localize Left Ventricular Scar in Hypertrophic Cardiomyopathy from 12-lead Electrocardiogram

K Nezamabadi - 2023 - search.proquest.com
Myocardial scar in the left ventricular contributes significantly to sudden cardiac death in
hypertrophic cardiomyopathy (HCM). Although late gadolinium-contrast enhanced magnetic …

Emotion-aware voice interfaces based on speech signal processing

Y Ma - 2022 - edoc.ub.uni-muenchen.de
Voice interfaces (VIs) will become increasingly widespread in current daily lives as AI
techniques progress. VIs can be incorporated into smart devices like smartphones, as well …

Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, H3C 3J7 Montréal, Canada {maryam. ghaderi, hamdi. ben. abdessalem, maxime …

M Ghaderi - … Intelligence and Intelligent Tutoring Systems: 19th …, 2023 - books.google.com
An aircrew's behaviour greatly affects aviation safety and efficiency, especially in emergency
situations. Considering vision is the primary method by which pilots acquire information, the …

[PDF][PDF] Physiological synchrony in brain and body as a measure of attentional engagement

J Friday, W Room - research.utwente.nl
Selective attentional engagement is critical for efficient and effective learning (Jiang and
Chun, 2001). Sustaining attention to a single continuous stream of information is a constant …