scholarly journals Virtual Brain:Model-Based Framework for Dependable EEG Sensing and Actuation in Intelligent Brain IOT System

2021 ◽  
Vol 23 (04) ◽  
pp. 187-195
Author(s):  
P Geetha ◽  
◽  
M. Nithya Sree ◽  
B Shifrah ◽  
V. S. Yageetha ◽  
...  
Keyword(s):  
Human Brain ◽  
Brain Activity ◽  
Low Frequency ◽  
Sensitive Information ◽  
Efficient Technology ◽  
Sensory Pathways ◽  
Wearable Eeg ◽  
Energy Efficient Technology ◽  
The Individual ◽  
Electroencephalogram Eeg

Real-time Brain IoT Systems are costly. But, developing a cheaper system has been accelerated greatly by the better research that is being done on Virtual Brain. The death of an important person on a secret mission is consider sensitive information and must be handled with as much security as possible. By ensuring this discreteness, the time taken for the message of their death to reach the relevant authority is increased to up to a few days. The time taken to deliver the message is too much. These days, the improvements in hardware increasing the abilities of the Virtual brain and of the wearable Brain IoT sensors have made the development of numerous new software frameworks possible for the developers to create useful applications that combine the human brain with IoT. Multiple sensory pathways are also enabled for communications of the human brain with larger sized data.The main aim of this project is to upload confidential documents onto the clouds securely as possible. Knowledge on how every individual thinks and recalls memory is found by the Virtual cerebrum undertaking. Both of the mentioned fields have been accelerated greatly in terms of development by these researches. This will in turn drive the need of an energy-efficient technology that supports the wider demands of the IoT. The brain activity extraction in IoT has been surveyed thoroughly in this project. This includes IoT models based on Electroencephalogram (EEG), machine learning and the current active platforms. The main findings of our survey highlights three major trends of development in the virtual brain development system, viz, IoT, EEGand cloud computing.Since the human body has a the low frequency range of 7Hz or below 7Hz, it cannot be detected by the EEG sensor. So, the wearable EEG sensor has a band that goes around the head. Once the individual is dead, the confidential information that is securely stored in the cloud can be sent to the mail id that was pre-registered by the user without any delay. This system is very time efficient.

scholarly journals Individual Features in the Typology of the Nervous System and the Brain Activity Dynamics of Freestyle Wrestlers Exposed to a Strong Physical Activity (a Pilot Study)

2020 ◽  
Vol 10 (4) ◽  
pp. 79
Author(s):  
Irina Polikanova ◽  
Sergey Leonov ◽  
Aleksey Isaev ◽  
Liudmila Liutsko
Keyword(s):  
Nervous System ◽  
Brain Activity ◽  
Low Frequency ◽  
Well Being ◽  
Functional System ◽  
Moderate Increase ◽  
Sports Activity ◽  
Regulatory Systems ◽  
The Individual ◽  
Electroencephalogram Eeg

Nowadays, knowledge of psychophysiological features, particularly on the nervous system’s characteristics, is essential in the sporting context, particularly for freestyle wrestling. The study aimed to investigate the peculiarities of the wrestlers’ nervous system—on the individual and electrophysiological levels in two functional states—in calm wakefulness and during intense physical fatigue. Psychological (Well-being, Activity, Mood; Spielberger–Hanin; Leonhard’s questionnaires), as well as electrophysiological techniques (dynamics of the dominant and average frequencies of the main electroencephalogram (EEG) spectra—theta, alpha, low and high-frequency beta rhythms), were used in the study. It was shown that athletes were mainly characterized by the hyperthymic type of character accentuation and a low frequency of theta rhythm in a calm wakefulness state. After the acute physical load, wrestlers with high hyperthymia showed a moderate increase in theta, whereas other athletes showed a decrease in this parameter. Regardless of the level of hyperthymic accentuation, all wrestlers were characterized by an increase in the frequency of alpha rhythm after exercises in the left hemisphere. These results suggest the existence of a particular functional system in freestyle wrestlers, which allows the body’s regulatory systems to be adapted for the effective implementation of sports activity.

Rational Methods of Concentration of Small, Thin, Finely Dispersed and Colloidal Gold of Technogenic Waste Deposits Will Ryveem

2018 ◽  
Vol 22 (10) ◽  
pp. 11-17 ◽  
Author(s):  
V.V. Karmazin ◽  
I.O. Krylov ◽  
P.A. Sysa ◽  
M.A. Frolov
Keyword(s):  
Rock Mass ◽  
Colloidal Gold ◽  
Energy Efficient ◽  
Low Frequency ◽  
Gold Deposits ◽  
Point Of View ◽  
Efficient Technology ◽  
Theoretical Substantiation ◽  
Technogenic Waste ◽  
Energy Efficient Technology

The potential of the ore-bearing territory and the dumps of the former mine placed on it are estimated from the point of view of application of new technological solutions that will allow to process the man-made rock mass profitably. The nature of the distribution of gold by size classes is established, which can significantly reduce the volume of processed rock mass. Theoretical substantiation of acceleration of natural segregation with application of low-frequency sound influence is given. The segregation-diffusion concentration of gold is proposed, which allows in the future to create an energy-efficient technology of recovery from man-made waste and apply it to the processing of gold deposits still in the depths.

scholarly journals Electroencephalogram (EEG) Recording Protocol for Cognitive and Affective Human Neuroscience Research

2019 ◽  
Author(s):  
Jaclyn L. Farrens ◽  
Aaron M. Simmons ◽  
Steven J. Luck ◽  
Emily S. Kappenman
Keyword(s):  
Human Brain ◽  
Brain Activity ◽  
High Temporal Resolution ◽  
Neuroscience Research ◽  
Eeg Data ◽  
Eeg Recordings ◽  
Brain Processing ◽  
Resolution Measure ◽  
Electroencephalogram Eeg

Abstract Electroencephalography (EEG) is one of the most widely used techniques to measure human brain activity. EEG recordings provide a direct, high temporal resolution measure of cortical activity from noninvasive scalp electrodes. However, the signals are small relative to the noise, and optimizing the quality of the recorded EEG data can significantly improve the ability to identify signatures of brain processing. This protocol provides a step-by-step guide to recording the EEG from human research participants using strategies optimized for producing the best quality EEG.

scholarly journals Electroencephalogram (EEG) Recording Protocol for Cognitive and Affective Human Neuroscience Research

2020 ◽  
Author(s):  
Jaclyn L. Farrens ◽  
Aaron M. Simmons ◽  
Steven J. Luck ◽  
Emily S. Kappenman
Keyword(s):  
Human Brain ◽  
Brain Activity ◽  
High Temporal Resolution ◽  
Neuroscience Research ◽  
Eeg Data ◽  
Eeg Recordings ◽  
Brain Processing ◽  
Resolution Measure ◽  
Electroencephalogram Eeg

Abstract Electroencephalography (EEG) is one of the most widely used techniques to measure human brain activity. EEG recordings provide a direct, high temporal resolution measure of cortical activity from noninvasive scalp electrodes. However, the signals are small relative to the noise, and optimizing the quality of the recorded EEG data can significantly improve the ability to identify signatures of brain processing. This protocol provides a step-by-step guide to recording the EEG from human research participants using strategies optimized for producing the best quality EEG.

scholarly journals Protocol for Reducing COVID-19 Transmission Risk in EEG Research

2020 ◽  
Author(s):  
Aaron M. Simmons ◽  
Steven J. Luck
Keyword(s):  
Human Brain ◽  
Personal Protective Equipment ◽  
Brain Activity ◽  
Transmission Risk ◽  
Protective Equipment ◽  
Noninvasive Method ◽  
Laboratory Personnel ◽  
Research Participants ◽  
Eeg Recordings ◽  
Electroencephalogram Eeg

Abstract Electroencephalogram (EEG) recordings provide a valuable, noninvasive method for measuring human brain activity. This protocol modifies our general protocol for EEG recording (Farrens et al., 2019) for use during the COVID-19 pandemic. It was created with the help of numerous experts, and it specifies a clear set of steps for interacting with research participants, using personal protective equipment (PPE), and disinfecting equipment, all with the goal of reducing the COVID-19 risks for both laboratory personnel and participants. It focuses on the use of EEG in relatively simple research studies of adults who can easily understand and follow instructions, yet can be readily adapted for studies using other types of EEG experiments or other participant populations.

scholarly journals Protocol for Reducing COVID-19 Transmission Risk in EEG Research

2020 ◽  
Author(s):  
Aaron M. Simmons ◽  
Steven J. Luck
Keyword(s):  
Human Brain ◽  
Personal Protective Equipment ◽  
Brain Activity ◽  
Transmission Risk ◽  
Protective Equipment ◽  
Noninvasive Method ◽  
Laboratory Personnel ◽  
Research Participants ◽  
Eeg Recordings ◽  
Electroencephalogram Eeg

Abstract Electroencephalogram (EEG) recordings provide a valuable, noninvasive method for measuring human brain activity. This protocol modifies our general protocol for EEG recording (Farrens et al., 2019) for use during the COVID-19 pandemic. It was created with the help of numerous experts, and it specifies a clear set of steps for interacting with research participants, using personal protective equipment (PPE), and disinfecting equipment, all with the goal of reducing the COVID-19 risks for both laboratory personnel and participants. It focuses on the use of EEG in relatively simple research studies of adults who can easily understand and follow instructions, yet can be readily adapted for studies using other types of EEG experiments or other participant populations.

scholarly journals Electroencephalogram (EEG) Recording Protocol for Cognitive and Affective Human Neuroscience Research

2021 ◽  
Author(s):  
Jaclyn L. Farrens ◽  
Aaron M. Simmons ◽  
Steven J. Luck ◽  
Emily S. Kappenman
Keyword(s):  
Human Brain ◽  
Brain Activity ◽  
High Temporal Resolution ◽  
Neuroscience Research ◽  
Eeg Data ◽  
Eeg Recordings ◽  
Brain Processing ◽  
Resolution Measure ◽  
Electroencephalogram Eeg

Abstract Electroencephalography (EEG) is one of the most widely used techniques to measure human brain activity. EEG recordings provide a direct, high temporal resolution measure of cortical activity from noninvasive scalp electrodes. However, the signals are small relative to the noise, and optimizing the quality of the recorded EEG data can significantly improve the ability to identify signatures of brain processing. This protocol provides a step-by-step guide to recording the EEG from human research participants using strategies optimized for producing the best quality EEG.

Integrative Visuomotor Behavior Is Associated With Interregionally Coherent Oscillations in the Human Brain

1998 ◽  
Vol 79 (3) ◽  
pp. 1567-1573 ◽  
Author(s):  
Joseph Classen ◽  
Christian Gerloff ◽  
Manabu Honda ◽  
Mark Hallett
Keyword(s):  
Motor Cortex ◽  
Human Brain ◽  
Large Scale ◽  
Isometric Force ◽  
Brain Activity ◽  
Motor Task ◽  
Low Frequency ◽  
Visuomotor Behavior ◽  
Electrical Brain Activity ◽  
Eeg Recordings

Classen, Joseph, Christian Gerloff, Manabu Honda, and Mark Hallett. Integrative visuomotor behavior is associated with interregionally coherent oscillations in the human brain. J. Neurophysiol. 79: 1567–1573, 1998. Coherent electrical brain activity has been demonstrated to be associated with perceptual events in mammals. It is unclear whether or not it is also a mechanism instrumental in the performance of sensorimotor tasks requiring the continuous processing of information between primarily executive and receptive brain areas. In particular it is unknown whether or not interregional coherent activity detectable in electroencephalographic (EEG) recordings on the scalp reflects interareal functional cooperativity in humans. We studied patterns of changes in EEG-coherence associated with a visuomotor force-tracking task in seven subjects. Interregional coherence of EEG signals recorded from scalp regions overlying the visual and the motor cortex increased in comparison to a resting condition when subjects tracked a visual target by producing an isometric force with their right index finger. Coherence between visual and motor cortex decreased when the subjects produced a similar motor output in the presence of a visual distractor and was unchanged in a purely visual and purely motor task. Increases and decreases of coherence were best differentiated in the low beta frequency range (13–21 Hz). This observation suggests a special functional significance of low frequency oscillations in information processing in large-scale networks. These findings substantiate the view that coherent brain activity underlies integrative sensorimotor behavior.

scholarly journals EEG-Based Intersubject Correlations Reflect Selective Attention in a Competing Speaker Scenario

2021 ◽  
Vol 15 ◽  
Author(s):  
Marc Rosenkranz ◽  
Björn Holtze ◽  
Manuela Jaeger ◽  
Stefan Debener
Keyword(s):  
Brain Activity ◽  
Neural Representation ◽  
Sensory Stimuli ◽  
Previous Evidence ◽  
Group Data ◽  
Attentional Engagement ◽  
Speech Envelope ◽  
The Individual ◽  
The Relationship ◽  
Electroencephalogram Eeg

Several solutions have been proposed to study the relationship between ongoing brain activity and natural sensory stimuli, such as running speech. Computing the intersubject correlation (ISC) has been proposed as one possible approach. Previous evidence suggests that ISCs between the participants’ electroencephalogram (EEG) may be modulated by attention. The current study addressed this question in a competing-speaker paradigm, where participants (N = 41) had to attend to one of two concurrently presented speech streams. ISCs between participants’ EEG were higher for participants attending to the same story compared to participants attending to different stories. Furthermore, we found that ISCs between individual and group data predicted whether an individual attended to the left or right speech stream. Interestingly, the magnitude of the shared neural response with others attending to the same story was related to the individual neural representation of the attended and ignored speech envelope. Overall, our findings indicate that ISC differences reflect the magnitude of selective attentional engagement to speech.

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