[PDF][PDF] Development of a closed-loop neurostimulation system for stress reduction

L Mesin, M Raggi, G Chiarion, F Ambrosi - webthesis.biblio.polito.it
Stress is defined as a physiological response to mental, physical, or emotional stimuli and
affects many people all over the world compromising their health. This study aims to develop …

Assessing effectiveness of heart rate variability biofeedback to mitigate mental health symptoms: a pilot study

T Castro Ribeiro, P Sobregrau Sangrà… - Frontiers in …, 2023 - frontiersin.org
Introduction: The increasing burden on mental health has become a worldwide concern
especially due to its substantial negative social and economic impact. The implementation of …

Mental Stress Detection and Mitigation using Machine Learning and Binaural Beat Stimulation

Y Badr, F Al-Shargie, U Tariq, F Babiloni… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Stress is an inevitable problem experienced by people worldwide. Continuous exposure to
stress can greatly impact mental activity as well as physical health thereby leading to several …

Mental stress detection using a wearable device and heart rate variability monitoring

C Goumopoulos, NG Stergiopoulos - Edge-of-Things in Personalized …, 2022 - Elsevier
Providing health support, both physical and mental, is of high significance in order to
promote well-being and quality of life. In this context, the ability to sense, monitor and detect …

Efficient methods for acute stress detection using heart rate variability data from Ambient Assisted Living sensors

B Szakonyi, I Vassányi, E Schumacher… - Biomedical engineering …, 2021 - Springer
Abstract Background Using Ambient Assisted Living sensors to detect acute stress could
help people mitigate the harmful effects of everyday stressful situations. This would help …

Determination of the Effects of Transcutaneous Auricular Vagus Nerve Stimulation on the Heart Rate Variability Using a Machine Learning Pipeline

A Tarasenko, S Guazzotti, T Minot, M Oganesyan… - Bioelectricity, 2022 - liebertpub.com
Background: We are all aware of day-to-day healthy stress, but, when sustained for long
periods, stress is believed to lead to serious physical and mental health issues. Materials …

Exploring Multi-Class Stress Detection Using Deep Neural Networks

CS Kumar, O Bhaskaru, B Karanam… - 2024 International …, 2024 - ieeexplore.ieee.org
This study uses Heart rate variability (HRV) as a biomarker to analyze the complex link
between ongoing stress and its possible physical effects. To deal with difficult situations …

Analysis of Psychophysiological Responses Using Heart Rate Variability: Towards Real-Time Affect Recognition

M Bahameish - 2023 - qmro.qmul.ac.uk
Recent technological developments have provided innovative means for promoting health
and well-being through physiological response monitoring. Heart rate variability (HRV) has …

Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features

M Bahameish, T Stockman, J Requena Carrión - Sensors, 2024 - mdpi.com
Stress recognition, particularly using machine learning (ML) with physiological data such as
heart rate variability (HRV), holds promise for mental health interventions. However, limited …

Assessing new methods to optimally detect episodes of non-metabolic heart rate variability reduction as an indicator of psychological stress in everyday life: A …

SBRE Brown, JF Brosschot, A Versluis… - Frontiers in …, 2020 - frontiersin.org
Frequent or chronic reduction in heart rate variability (HRV) is a powerful predictor of
cardiovascular disease, and psychological stress has been suggested to be a co …