Decoding the coupling between the brain and skin reactions in auditory stimulation by information-based analysis of EEG and GSR signals

2021 ◽  
pp. 1-10
Author(s):  
Najmeh Pakniyat ◽  
Hamidreza Namazi
Keyword(s):  
Brain Activity ◽  
Skin Resistance ◽  
Research Area ◽  
Important Research ◽  
Skin Reactions ◽  
Analysis Technique ◽  
Information Contents ◽  
Important Research Area ◽  
Electroencephalogram Eeg ◽  
The Brain

BACKGROUND: The analysis of brain activity in different conditions is an important research area in neuroscience. OBJECTIVE: This paper analyzed the correlation between the brain and skin activities in rest and stimulations by information-based analysis of electroencephalogram (EEG) and galvanic skin resistance (GSR) signals. METHODS: We recorded EEG and GSR signals of eleven subjects during rest and auditory stimulations using three pieces of music that were differentiated based on their complexity. Then, we calculated the Shannon entropy of these signals to quantify their information contents. RESULTS: The results showed that music with greater complexity has a more significant effect on altering the information contents of EEG and GSR signals. We also found a strong correlation (r= 0.9682) among the variations of the information contents of EEG and GSR signals. Therefore, the activities of the skin and brain are correlated in different conditions. CONCLUSION: This analysis technique can be utilized to evaluate the correlation among the activities of various organs versus brain activity in different conditions.

Analysis of the Correlation between Static Visual Stimuli, Eye Movements, and Brain Signals

2021 ◽  
pp. 2150056
Author(s):  
Hamidreza Namazi ◽  
Avinash Menon ◽  
Ondrej Krejcar
Keyword(s):  
Eye Movements ◽  
Visual Stimuli ◽  
Research Area ◽  
The Other ◽  
Important Research ◽  
Eeg Signals ◽  
Brain Signals ◽  
Information Contents ◽  
Important Research Area ◽  
The Brain

Analysis of the correlation among the activities of the eyes and brain is an important research area in physiological science. In this paper, we analyzed the correlation between the reactions of eyes and the brain during rest and while watching different visual stimuli. Since every external stimulus transfers information to the human brain, and on the other hand, eye movements and EEG signals contain information, we utilized Shannon entropy to evaluate the coupling between them. In the experiment, 10 subjects looked at 4 images with different information contents while we recorded their EEG signals and eye movements simultaneously. According to the results, the information contents of eye fluctuations, EEG signals, and visual stimuli are coupled, which reflect the coupling between the brain and eye activities. Similar analyses could be performed to evaluate the correlation among the activities of other organs versus the brain.

scholarly journals ANALYSIS OF THE CORRELATION BETWEEN BRAIN AND SKIN REACTIONS TO DIFFERENT TYPES OF MUSIC

Fractals ◽  
2021 ◽  
Vol 29 (02) ◽  
pp. 2150124
Author(s):  
HAMIDREZA NAMAZI ◽  
DUMITRU BALEANU ◽  
SHAFIUL OMAM ◽  
ONDREJ KREJCAR
Keyword(s):  
Rock Music ◽  
Research Area ◽  
Sample Entropy ◽  
Skin Reactions ◽  
Dimension Formula ◽  
Different Types ◽  
Skin Response ◽  
Important Research Area ◽  
Electroencephalogram Eeg ◽  
The Brain

Evaluation of the correlation among the activities of various organs is an important research area in physiology. In this paper, we analyzed the correlation between the brain and skin reactions in response to various auditory stimuli. We played three different music (relaxing, pop, and rock music) to eleven subjects (4 M and 7 F, 18–22 years old) and accordingly analyzed the changes in the complexity of Electroencephalogram (EEG) and Galvanic Skin Response (GSR) signals by calculating their fractal exponent and sample entropy. A strong correlation was observed among the alterations of the complexity of GSR and EEG signals in the case of fractal dimension ([Formula: see text]) and also sample entropy ([Formula: see text]), which indicates the correlation between the activities of skin and brain. This analysis method could be further applied to investigate the correlation among the activities of the brain and other organs of the human body.

Information-based decoding of the coupling among human brain activity and movement paths

2021 ◽  
pp. 1-10
Author(s):  
Shahul Mujib Kamal ◽  
Norazryana Mat Dawi ◽  
Hamidreza Namazi
Keyword(s):  
Brain Activity ◽  
Point Of View ◽  
Physiological Signals ◽  
Human Walking ◽  
Eeg Signals ◽  
Rehabilitation Science ◽  
Information Contents ◽  
First Time ◽  
The Brain ◽  
Brain Reaction

BACKGROUND: Walking like many other actions of a human is controlled by the brain through the nervous system. In fact, if a problem occurs in our brain, we cannot walk correctly. Therefore, the analysis of the coupling of brain activity and walking is very important especially in rehabilitation science. The complexity of movement paths is one of the factors that affect human walking. For instance, if we walk on a path that is more complex, our brain activity increases to adjust our movements. OBJECTIVE: This study for the first time analyzed the coupling of walking paths and brain reaction from the information point of view. METHODS: We analyzed the Shannon entropy for electroencephalography (EEG) signals versus the walking paths in order to relate their information contents. RESULTS: According to the results, walking on a path that contains more information causes more information in EEG signals. A strong correlation (p= 0.9999) was observed between the information contents of EEG signals and walking paths. Our method of analysis can also be used to investigate the relation among other physiological signals of a human and walking paths, which has great benefits in rehabilitation science.

Climate change and employment relations

2017 ◽  
Vol 59 (5) ◽  
pp. 670-679 ◽  
Author(s):  
Caleb Goods
Keyword(s):  
Climate Change ◽  
Research Area ◽  
Research Note ◽  
Employment Relations ◽  
Important Research ◽  
Workplace Relations ◽  
Important Research Area

A central, yet overlooked, aspect of contemporary employment relations is the growing impact climate change is having on workplace relations. This research note outlines how climate change and workplace relations are linked, the minimal academic focus this important research area has received and the limited response from employment relations actors to the climate change challenge. Some examples of ‘climate bargaining’ are given to demonstrate both the connection between employment relations and climate change and to provide possible models for meaningfully advancing climate change actions in the workplace.

scholarly journals The Use of Literary Texts in EFL Coursebooks: An Exploratory Study

2020 ◽  
Vol 10 (3) ◽  
pp. 86
Author(s):  
Shaima Al-Saeed ◽  
Abdullah A. Alenezi
Keyword(s):  
Foreign Language ◽  
Exploratory Study ◽  
Early Period ◽  
Research Area ◽  
Higher Learning ◽  
Literary Texts ◽  
Important Research ◽  
Institutions Of Higher Learning ◽  
Important Research Area ◽  
And Linguistics

This exploratory study investigates the use of literary texts in English as a foreign language (EFL) coursebooks and examines the extent to which literature is used within the coursebooks, the types of texts used as regards authenticity and recency, the criteria for selecting and adapting the texts and the ways of improving the selection and adaptation process. Multiple articles written on this subject show that the evaluation of EFL coursebooks is a relevant and important research area in the study of language and linguistics. This study gives a survey of the extent to which literary texts are used in EFL coursebooks within institutions of higher learning in Kuwait and worldwide. In this study, 44 popular EFL coursebooks (between 2015 and 2019) within higher education institutes, including those in Kuwait, were analysed. The findings demonstrated that literary texts are not included in many of the coursebooks used nowadays and that the literary texts selected were primarily from an early period (more than a century ago). Furthermore, the results revealed that the coursebooks include a large percentage of inauthentic, ill-adapted works. Consequently, this study recommends incorporating authentic literary texts in EFL coursebooks comprising modern literature.

scholarly journals Exploring status consumption in South Africa: a literature review

2016 ◽  
Vol 13 (3) ◽  
pp. 131-136 ◽  
Author(s):  
Nkosivile Welcome Madinga ◽  
Eugine Tafadzwa Maziriri ◽  
Thobekani Lose
Keyword(s):  
South Africa ◽  
Research Area ◽  
Important Research ◽  
Middle Income ◽  
Status Consumption ◽  
Income Groups ◽  
The Status ◽  
Goods Market ◽  
Status Goods ◽  
Important Research Area

South Africa is one of the most important countries in the status goods market. In addition, it has the biggest share from the status consumption market in Africa and it is amongst fastest growing countries worldwide in status consumption. The growth in status consumption in South Africa is attributed to the growth of the high-income and middle-income groups. As the demand for status increases and status goods become more available, the concept of status has become an important research area for academics and marketers. The aim of this study is to explore the concept of status consumption and provide an overview of status consumption. In this study, the literature has been reviewed for the studies on the same subject to make a compilation

Formation of Multiple-Robots Using Vision Based Approach

2013 ◽  
Vol 419 ◽  
pp. 768-773 ◽  
Author(s):  
Bayanjargal Baasandorj ◽  
Aamir Reyaz ◽  
Batmunkh Battulga ◽  
Deok Jin Lee ◽  
Kil To Chong
Keyword(s):  
Artificial Intelligence ◽  
Mobile Robot ◽  
Research Area ◽  
Multiple Robots ◽  
Important Research ◽  
Communication Device ◽  
Important Research Area ◽  
Bluetooth Communication

Multi-robots system has grown enormously with a large variety of topics being addressed. It is an important research area within the robotics and artificial intelligence. By using the vision based approach this paper deals with the formation of multiple-robots. Three NXT robots were used in the experiment and all the three robots work together as one virtual mobile robot. In addition to these things we also used TCP/IP socket, ArToolKit, NXT robot, Bluetooth communication device. And for programming C++ was used. Results achieved from the experiment were highly successful.

Information-based Analysis of the Coupling between Dynamic Visual Stimuli, Eye Movements, and Brain Signals

2021 ◽  
pp. 2150048
Author(s):  
Hamidreza Namazi ◽  
Avinash Menon ◽  
Ondrej Krejcar
Keyword(s):  
Eye Movements ◽  
Moving Objects ◽  
Brain Activity ◽  
Visual Stimuli ◽  
Strongly Correlated ◽  
Eeg Signals ◽  
Vision Science ◽  
Brain Signals ◽  
Information Contents ◽  
The Brain

Our eyes are always in search of exploring our surrounding environment. The brain controls our eyes’ activities through the nervous system. Hence, analyzing the correlation between the activities of the eyes and brain is an important area of research in vision science. This paper evaluates the coupling between the reactions of the eyes and the brain in response to different moving visual stimuli. Since both eye movements and EEG signals (as the indicator of brain activity) contain information, we employed Shannon entropy to decode the coupling between them. Ten subjects looked at four moving objects (dynamic visual stimuli) with different information contents while we recorded their EEG signals and eye movements. The results demonstrated that the changes in the information contents of eye movements and EEG signals are strongly correlated ([Formula: see text]), which indicates a strong correlation between brain and eye activities. This analysis could be extended to evaluate the correlation between the activities of other organs versus the brain.

Applying Independent Component Analysis to the Artifact Detection Problem in Magnetoencephalogram Background Recordings

2008 ◽  
pp. 84-92
Author(s):  
Javier Escudero ◽  
Roberto Hornero ◽  
Daniel Abásolo ◽  
Jesús Poza ◽  
Alberto Fernández
Keyword(s):  
Magnetic Fields ◽  
Quantum Interference ◽  
Brain Activity ◽  
External Noise ◽  
Low Noise ◽  
High Temporal Resolution ◽  
Artifact Detection ◽  
Mental Diseases ◽  
Electroencephalogram Eeg ◽  
The Brain

The analysis of the electromagnetic brain activity can provide important information to help in the diagnosis of several mental diseases. Both electroencephalogram (EEG) and magnetoencephalogram (MEG) record the neural activity with high temporal resolution (Hämäläinen, Hari, Ilmoniemi, Knuutila, & Lounasmaa, 1993). Nevertheless, MEG offers some advantages over EEG. For example, in contrast to EEG, MEG does not depend on any reference point. Moreover, the magnetic fields are less distorted than the electric ones by the skull and the scalp (Hämäläinen et al., 1993). Despite these advantages, the use of MEG data involves some problems. One of the most important difficulties is that MEG recordings may be severely contaminated by additive external noise due to the intrinsic weakness of the brain magnetic fields. Hence, MEG must be recorded in magnetically shielded rooms with low-noise SQUID (Superconducting QUantum Interference Devices) gradiometers (Hämäläinen et al., 1993).

How Can We Trust Agents in Multi-Agent Environments? Techniques and Challenges

2009 ◽  
pp. 2843-2864 ◽  
Author(s):  
Kostas Kolomvatsos ◽  
Stathes Hadjiefthymiades
Keyword(s):  
Computer Science ◽  
Research Area ◽  
Software Components ◽  
Important Research ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Potential Partner ◽  
Multi Agent ◽  
Important Research Area

The field of Multi-agent systems (MAS) has been an active area for many years due to the importance that agents have to many disciplines of research in computer science. MAS are open and dynamic systems where a number of autonomous software components, called agents, communicate and cooperate in order to achieve their goals. In such systems, trust plays an important role. There must be a way for an agent to make sure that it can trust another entity, which is a potential partner. Without trust, agents cannot cooperate effectively and without cooperation they cannot fulfill their goals. Many times, trust is based on reputation. It is an indication that we may trust someone. This important research area is investigated in this book chapter. We discuss main issues concerning reputation and trust in MAS. We present research efforts and give formalizations useful for understanding the two concepts.

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