Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space

P Rajpura, H Cecotti, YK Meena - Journal of Neural Engineering, 2024 - iopscience.iop.org
Objective. This review paper provides an integrated perspective of Explainable Artificial
Intelligence (XAI) techniques applied to Brain-Computer Interfaces (BCIs). BCIs use …

The role of machine learning methods in physiological explorations of endurance trained athletes: A mini-review

F Boudry, F Durand, H Meric… - Frontiers in Sports and …, 2024 - frontiersin.org
Endurance-trained athletes require physiological explorations that have evolved throughout
the history of exercise physiology with technological advances. From the use of the Douglas …

Multi-Input CNN-LSTM deep learning model for fear level classification based on EEG and peripheral physiological signals

N Masuda, IE Yairi - Frontiers in Psychology, 2023 - frontiersin.org
Objective and accurate classification of fear levels is a socially important task that
contributes to developing treatments for Anxiety Disorder, Obsessive–compulsive Disorder …

Wearable Devices and Explainable Unsupervised Learning for COVID-19 Detection and Monitoring

A Hasasneh, H Hijazi, MA Talib, Y Afadar, AB Nassif… - Diagnostics, 2023 - mdpi.com
Despite the declining COVID-19 cases, global healthcare systems still face significant
challenges due to ongoing infections, especially among fully vaccinated individuals …

Mental stress level prediction and classification based on machine learning

A Kene, S Thakare - 2021 Smart Technologies …, 2021 - ieeexplore.ieee.org
Stress is becoming an important factor in a person's life today. According to the World Health
Organization, stress is a type of mental illness that affects the health of citizens. There is no …

[HTML][HTML] Emotional salience network involved in constructing two-dimensional fear space in humans

J Lyu, J Li, R Ding, H Zhao, C Liu, S Qin - Neurobiology of Stress, 2024 - Elsevier
Fear learning is pivotal for organismal survival, ensuring the ability to avoid potential threats
through learning based on experiencing minimal fear information. In reality, fear learning …

Analysis of marine-pilot biometric data recordings during port-approach using a full-mission simulator

D Žagar, M Svetina, T Brcko, M Perkovič, F Dimc… - Sensors, 2022 - mdpi.com
The purpose of this study is to analyse data from the marine pilots' bio-sensor readings to
determine how experience affects their biometrical response during the port approach. The …

[PDF][PDF] Biophysical signal processing for automatic anxiety classification in a virtual reality exposure therapy system

N Jinga, CD Petrescu, O Mitruț… - UPB Sci. Bull …, 2024 - scientificbulletin.upb.ro
This paper presents a signal processing framework for automatic anxiety level classification
in a virtual reality exposure therapy system. Two types of biophysical data (heart rate and …

Effective relax acquisition: a novel approach to classify relaxed state in alpha band EEG-based transformation

D Risqiwati, AD Wibawa, ES Pane, EM Yuniarno… - Brain Informatics, 2024 - Springer
A relaxed state is essential for effective hypnotherapy, a crucial component of mental health
treatments. During hypnotherapy sessions, neurologists rely on the patient's relaxed state to …

Behavioral, Peripheral, and Central Neural Correlates of Augmented Reality Guidance of Manual Tasks

AL Callara, G Rho, S Condino, V Ferrari… - … on Human-Machine …, 2024 - ieeexplore.ieee.org
Objective: The use of commercially available optical-see-through (OST) head-mounted
displays (HMDs) in their own peripersonal space leads the user to experience two …