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7 papers in the library · 66 citations · publishing 2012-2025

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Machine Learning-Based Comparative Analysis of Subject-Independent EEG Data Classification Across Multiple Meditation and Non-Meditation Sessions

Sensors November 11, 2025 Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton et al. 1 citation

In this study, subject-independent (inter-subject), multiple-session electroencephalography (EEG) data classification was tested for loving-kindness meditation (LKM) and non-meditation. This is a novel study that extends our previous work on intra-subject, multiple-session classification. Here, two meditation techniques, LKM-Self and LKM-Other, were independently compared with non-meditation....

DOI: 10.3390/s25226876 (opens in new tab) Meditation Pattern recognition psychology Electroencephalography Feature extraction +8

Machine Learning-Based Alexithymia Assessment Using Resting-State Default Mode Network Functional Connectivity

Sensors September 12, 2025 Kei Suzuki, Midori Sugaya

Alexithymia is regarded as one of the risk factors for several prevalent mental disorders, and there is a growing need for convenient and objective methods to assess alexithymia. Therefore, this study proposes a method for constructing models to assess alexithymia using machine learning and electroencephalogram (EEG) signals. The explanatory variables for the models were functional connectivity...

DOI: 10.3390/s25175515 (opens in new tab) Full text (opens in new tab) Default mode network Alexithymia Source localization Electroencephalogram +1

Measuring the Effectiveness of a Multicomponent Program to Manage Academic Stress through a Resilience to Stress Index

Sensors February 28, 2023 Carlos Figueroa, Andrés Felipe Ayala, Luis A. Trejo et al. 17 citations

In this work, we evaluate the effectiveness of a multicomponent program that includes psychoeducation in academic stress, mindfulness training, and biofeedback-assisted mindfulness, while enhancing the Resilience to Stress Index (RSI) of students through the control of autonomic recovery from psychological stress. Participants are university students enrolled in a program of excellence and are...

Microdosing Sprint Distribution as an Alternative to Achieve Better Sprint Performance in Field Hockey Players

Sensors January 20, 2023 Víctor Cuadrado-Peñafiel, Adrián Castaño-Zambudio, Luis Manuel Martínez-Aranda et al.

Introduction: The implementation of optimal sprint training volume is a relevant component of team sport performance. This study aimed to compare the efficiency and effectiveness of two different configurations of within-season training load distribution on sprint performance over 6 weeks. Methods: Twenty male professional FH players participated in the study. Players were conveniently assigned...

Emotion Self-Regulation in Neurotic Students: A Pilot Mindfulness-Based Intervention to Assess Its Effectiveness through Brain Signals and Behavioral Data

Sensors March 31, 2022 Lila Iznita Izhar, Areej Babiker, Rizki Edmi Edison et al. 21 citations

Neuroticism has recently received increased attention in the psychology field due to the finding of high implications of neuroticism on an individual’s life and broader public health. This study aims to investigate the effect of a brief 6-week breathing-based mindfulness intervention (BMI) on undergraduate neurotic students’ emotion regulation. We acquired data of their psychological states,...

DOI: 10.3390/s22072703 (opens in new tab) Mindfulness Anxiety Neuroticism Electroencephalography +3

Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture

Sensors December 21, 2020 Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Mark Crook‐Rumsey et al. 27 citations

Mindfulness training is associated with improvements in psychological wellbeing and cognition, yet the specific underlying neurophysiological mechanisms underpinning these changes are uncertain. This study uses a novel brain-inspired artificial neural network to investigate the effect of mindfulness training on electroencephalographic function. Participants completed a 4-tone auditory oddball...

A Wireless Accelerometer-Based Body Posture Stability Detection System and Its Application for Meditation Practitioners

Sensors December 18, 2012 Kang-Ming Chang, Sih-Huei Chen, Hsin-Yi Lee et al.

The practice of meditation has become an interesting research issue in recent decades. Meditation is known to be beneficial for health improvement and illness reduction and many studies on meditation have been made, from both the physiological and psychological points of view. It is a fundamental requirement of meditation practice to be able to sit without body motion. In this study, a novel...