Stress Reduction, Relaxation, and Meditative States Using Psychophysiological Measurements Based on Biofeedback Systems via HRV and EEG

Davis, Jeffery Jonathan Joshua; Kozma, Róbert; Schübeler, Florian

doi:10.1007/978-3-319-08234-9_330-1

Cited by 3 publications

(3 citation statements)

References 25 publications

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“…It is relevant to note that the Meditator group showed lower values for H than the Non-Meditator group, which indicates that meditative states are more likely different than relaxed states when participants have their eyes closed. We conjecture that meditators may carry these relaxed states into other activities, possibly due to the lasting psychophysiological effects derived from meditative practices [ 28 , 57 , 58 , 59 ] translating and continuing into other areas of life. This will require further investigation and studies with a larger sample size.…”

Section: Discussionmentioning

confidence: 99%

“…We conjecture that meditators may carry these relaxed states into other activities, possibly due to the lasting psychophysiological effects derived from meditative practices [ 28 , 57 , 58 , 59 ] translating and continuing into other areas of life. This will require further investigation and studies with a larger sample size.…”

Section: Discussionmentioning

confidence: 99%

“…In this study, we invoke the methodologies described in [ 5 , 11 , 20 , 28 ], by applying statistical evaluation of new experimental EEG data, obtained in Ian J. Kirk’s Lab, Centre for Brain Research at the University of Auckland in New Zealand [ 29 , 30 , 31 ], during a period of about 3 months of data acquisition in 2 modalities and with 20 participants, as part of a larger study with 6 modalities. The modalities analyzed and studied here are Meditation-Relaxation (MED) versus Video Watching (VDO) for 11 Meditators and 9 Non-Meditators.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson’s First Skewness Coefficient Extracted from EEG Data

Davis

Kozma

Schübeler³

2023

Sensors

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It has been proposed that meditative states show different brain dynamics than other more engaged states. It is known that when people sit with closed eyes instead of open eyes, they have different brain dynamics, which may be associated with a combination of deprived sensory input and more relaxed inner psychophysiological and cognitive states. Here, we study such states based on a previously established experimental methodology, with the aid of an electro-encephalography (EEG) array with 128 electrodes. We derived the Shannon Entropy (H) and Pearson’s 1st Skewness Coefficient (PSk) from the power spectrum for the modalities of meditation and video watching, including 20 participants, 11 meditators and 9 non-meditators. The discriminating performance of the indices H and PSk was evaluated using Student’s t-test. The results demonstrate a statistically significant difference between the mean H and PSk values during meditation and video watch modes. We show that the H index is useful to discriminate between Meditator and Non-Meditator participants during meditation over both the prefrontal and occipital areas, while the PSk index is useful to discriminate Meditators from Non-Meditators based on the prefrontal areas for both meditation and video modes. Moreover, we observe episodes of anti-correlation between the prefrontal and occipital areas during meditation, while there is no evidence for such anticorrelation periods during video watching. We outline directions of future studies incorporating further statistical indices for the characterization of brain states.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson’s First Skewness Coefficient Extracted from EEG Data

Davis

Kozma

Schübeler³

2023

Sensors

View full text Add to dashboard Cite

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Discrimination Between Brain Cognitive States Using Shannon Entropy and Skewness Information Measure

Davis

Schübeler²,

et al. 2020

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Application of cardiorespiratory training with biofeedback in a patient with comorbidity

Sakharova,

Konova

2023

Nevrol. ž. im. L.O. Badalâna

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Biofeedback is increasingly used in practice due to diversity, the possibility of visualization of corrective functions, and the availability of objective indicators for assessing the dynamics of the training process. Biofeedback training helps to teach patients to skills that alleviate their condition, support active functioning, thereby increasing the quality of life. One of the simple methods of biofeedback is cardiorespiratory training, during which the patient learns the skill of diaphragmatic relaxation breathing, which is effective in rehabilitation for various pathologies, especially in pediatric practice. This type of biofeedback is based on the control of breathing and heart rate variability (HRV). HRV reflects the body’s ability to quickly recover from exposure to mental and physical stress factors. HRV is a unique marker of a person’s cardiovascular and psychophysiological health. This clinical example demonstrates a case of respiratory correction in a patient with comorbidities (multiple sclerosis, essential arterial hypertension, and panic disorder). The training was chosen as the most optimal for improving the patient’s quality of life, in respect that the leading complaint was panic attacks. One of the main goals of rehabilitation for this child is to teach the skills of diaphragmatic relaxation breathing, which allowed the patient learning to cope with future panic attacks, reduce anxiety and thereby improve his well-being. The article describes in detail the course of the training, recommended exercises for daily use, and presents the positive trend in the recorded indicators and the patient’s condition by the end of the course. Cardiorespiratory training is an effective and understandable method of rehabilitation that can be actively used in practice for an objective assessment of the classes performed and for psycho-emotional correction in children and adolescents with various pathologies.

show abstract

Stress Reduction, Relaxation, and Meditative States Using Psychophysiological Measurements Based on Biofeedback Systems via HRV and EEG

Cited by 3 publications

References 25 publications

Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson’s First Skewness Coefficient Extracted from EEG Data

Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson’s First Skewness Coefficient Extracted from EEG Data

Discrimination Between Brain Cognitive States Using Shannon Entropy and Skewness Information Measure

Application of cardiorespiratory training with biofeedback in a patient with comorbidity

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