scholarly journals Predictive Analysis for Real Time Stress Detection

2021 ◽  
Vol 9 (VI) ◽  
pp. 1232-1238
Author(s):  
Srivathsa Bharadwaj K S
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Brain Activity ◽  
Supervised Machine Learning ◽  
Data Set ◽  
Machine Learning Model ◽  
Pulse Sensor ◽  
The Subject ◽  
The Brain ◽  
Time Pulse

Stress can be characterized as a feeling of either emotional or physical tension. Due to the biology of the human body, it releases some hormones when under stress. These hormones might cause tensed muscles, increase pulse rate or the heart rate, increase brain activity to make the brain more alert to the surrounding. Stress can be predicted well before it happens by constantly measuring the Heart Rate Variability (HRV) parameters obtained using the pulse sensor. In this project a supervised machine learning model is created using the data acquired from Physionet, once the data is acquired it is cleaned and the missing data is filled. This data set is later used to create a random forest classifier and is saved using pickle library. Once the model is created it is used to detect stress in real time. Pulse sensor amped is used to get the required pulse data in the form of a CSV file and a numpy array is created using inter beat interval information got from pulse sensor. Once a numpy array is created neurokit2 library is used to extract the HRV information of the R-R interval. Later these parameters are compared with the created model and checked to see if the subject is stressed, if the model detects the subject as stressed an alerting message is sent to the subject’s smartphone using Twilio.

scholarly journals Use of Brain-Machine Interface technology in the rehabilitation of patients

2020 ◽  
Vol 9 (11) ◽  
pp. e84691110016
Author(s):  
Bruna Corrêa Nolêto ◽  
Fernanda Rodrigues de Araújo Paiva Campelo ◽  
Karleth Costa Spíndola Rodrigues ◽  
Letice Mendes Ribeiro ◽  
Mauricio Salviano
Keyword(s):  
Brain Activity ◽  
Brain Machine Interface ◽  
Human Beings ◽  
Motor Rehabilitation ◽  
Technological Revolution ◽  
Innovative Technologies ◽  
Motor Disability ◽  
Machine Interface ◽  
The Subject ◽  
The Brain

In the last few decades, there have been advances in the field of innovative technologies used for the rehabilitation of people with a motor disability. A great example is the Brain-Machine Interface (BMI) technologies, which allow the control of machines through the brain activity of individuals and contributes to a reorganization of their motor and sensory systems. Thus, several evidences have suggested the use of technologies in the rehabilitation of these patients. The aim of this study was to perform a literature review on the use of technologies applied to motor rehabilitation. To carry out this study, a search for scientific articles was performed in the Pubmed, Scielo and Lilacs databases, in addition to the dissertations and theses found on the CAPES database. There were a total of 24 references, published between 2002 and 2020. According to the literature studied, there is an increase in resources that use technologies as therapeutic options. Many of the conventional interventions are being replaced or associated with these innovative technologies. With the advent of BMI technology and its use in human beings, a technological revolution can be observed in several biomedical areas, thus allowing a multidisciplinary application in the rehabilitation of motor, sensory or cognitive functions in patients. Despite the advances, this subject still shows controversies and before a broad recommendation, more randomized studies and a greater ethical recommendation on the subject will be needed.

scholarly journals Remote Photonic Detection of Human Senses Using Secondary Speckle Patterns

2021 ◽  
Author(s):  
Zeev Kalyuzhner ◽  
Sergey Agdarov ◽  
Itai Orr ◽  
Yafim Beiderman ◽  
Aviya Bennett ◽  
...  
Keyword(s):  
Brain Activity ◽  
Sensory Information ◽  
Spatiotemporal Analysis ◽  
Physical Contact ◽  
Physiological Processes ◽  
Speckle Patterns ◽  
The Subject ◽  
And Behavior ◽  
Activity Sensing ◽  
The Brain

Abstract Neural activity research has recently gained significant attention due to its association with sensory information and behavior control. However, current methods of brain activity sensing require expensive equipment and physical contact with the subject. We propose a novel photonic-based method for remote detection of human senses. Physiological processes associated with hemodynamic activity due to activation of the cerebral cortex affected by different senses have been detected by remote monitoring of nano‐vibrations generated due to the transient blood flow to specific regions of the brain. We have found that combination of defocused, self‐interference random speckle patterns with a spatiotemporal analysis using Deep Neural Network (DNN) allows associating between the activated sense and the seemingly random speckle patterns.

Five Constraints on Predicting Behavior

2018 ◽  
Author(s):  
Jerome Kagan
Keyword(s):  
Brain Activity ◽  
Behavioral Outcomes ◽  
Psychological Processes ◽  
Experimental Setting ◽  
Psychological Data ◽  
Predicting Behavior ◽  
The Subject ◽  
Brain Data ◽  
The Brain ◽  
Age And Sex

Scientists were unable to study the relation of brain to mind until the invention of technologies that measured the brain activity accompanying psychological processes. Yet even with these new tools, conclusions are tentative or simply wrong. This book describes five conditions that place serious constraints on the ability to predict mental or behavioral outcomes based on brain data: the setting in which evidence is gathered, the expectations of the subject, the source of the evidence that supports the conclusion, the absence of studies that examine patterns of causes with patterns of measures, and the habit of borrowing terms from psychology. The book describes the importance of context, and how the experimental setting—including the room, the procedure, and the species, age, and sex of both subject and examiner—can influence the conclusions. It explains how subject expectations affect all brain measures; considers why brain and psychological data often yield different conclusions; argues for relations between patterns of causes and outcomes rather than correlating single variables; and criticizes the borrowing of psychological terms to describe brain evidence. Brain sites cannot be in a state of “fear.” A deeper understanding of the brain's contributions to behavior, the book argues, requires investigators to acknowledge these five constraints in the design or interpretation of an experiment.

Dynamics of Brain Electric Field during Recall of Salpuri Dance Performance

2002 ◽  
Vol 95 (3) ◽  
pp. 955-962 ◽  
Author(s):  
Jong Ran Park ◽  
Takami Yagyu ◽  
Naomi Saito ◽  
Toshihiko Kinoshita ◽  
Takane Hirai
Keyword(s):  
Electrical Activity ◽  
Resting State ◽  
Brain Activity ◽  
Wave Activity ◽  
Global Field Power ◽  
Brain Wave ◽  
Frontal Midline Theta ◽  
The Subject ◽  
Brain Wave Activity ◽  
The Brain

The brain wave activity of a professional Salpuri dancer was observed while the subject recalled her performance of the Salpuri dance when sitting in a chair with closed eyes. As she recalled the feeling of the ecstatic trance state induced by the dance, an increase in alpha brain activity was observed together with marked frontal midline theta activity. Compared to a resting state, the dynamics of the electrical activity in the brain showed an increase in the global field power integral and a decrease in generalized frequency and spatial complexity.

The Research on Real-Time Pulse Signal Collecting System Based on CC2430

2013 ◽  
Vol 401-403 ◽  
pp. 1436-1439
Author(s):  
Yu Xiu Xing ◽  
Yi Cao ◽  
Wei Zhang
Keyword(s):  
Real Time ◽  
Pulse Wave ◽  
Pulse Signal ◽  
Low Power Consumption ◽  
Signal Acquisition ◽  
Functional Modules ◽  
Real Time Monitoring ◽  
The Real ◽  
Pulse Sensor ◽  
Time Pulse

This paper introduced the system of real-time pulse signal acquisition based on CC2430.the original pulse signal was collected by projected pulse sensor, and then after shaping, filtering and amplification, we can get the pulse wave signal, which was stable and synchronized with the heart. After that this signal was input to the CC2430 chip, and reached the PC by ZigBee wireless communication, therefore the real-time monitoring from doctor to patient could be achieved. There were many advantages, such as simple, low power consumption, real-time coercion, etc. We can also expand the functional modules interfaces ,such as body temperature, ECG, blood pressure, to achieve the real-time monitoring more physiological parameters.

scholarly journals Dissonance of Selected Neuroscience Techniques at Detection of Emotions in Advertising Spots

2018 ◽  
Vol 66 (4) ◽  
pp. 969-977
Author(s):  
Katarína Neomániová ◽  
Jakub Berčík ◽  
Elena Horská
Keyword(s):  
Brain Imaging ◽  
Imaging Techniques ◽  
Brain Activity ◽  
Emotional Involvement ◽  
Emotional Appeals ◽  
The Face ◽  
The Subject ◽  
Somatic Nervous System ◽  
Interdisciplinary Study ◽  
The Brain

In addition to advanced brain imaging techniques and growing interest in the study of consumer reactions with influence of marketing stimuli a new interdisciplinary study has developed on a borderland of neuroscience, economic and psychological studies – neuromarketing. Despite a certain form of insecurity whether the brain imaging technologies provide useful information for control of marketing, more and more marketers identify with their application in conventional market research. The main aim of this contribution is to clarify the influence of a selected advertising spot on the final emotional state of consumers by researching a brain activity of respondents and activity of somatic nervous system, specifically the face expressions. Cortical brain activity was detected by 16channel wireless electroencephalograph by Epoc and changes of mimic muscles were monitored by a biometric device the Facereader by Noldus. The subject of the research is the dissonance of the selected neuroscience techniques with influence of chosen advertising emotional appeals like fear, disgust and sadness. In the end of our contribution, the way of using the neuroscience technology and psychology for detection of consumer emotional involvement of consumers is explained.

scholarly journals Correlation between the brain activity with gait imagery and gait performance in adults with Parkinson's disease: A data set

Data in Brief ◽  
2021 ◽  
pp. 106993
Author(s):  
Daisuke Nishida ◽  
Katsuhiro Mizuno ◽  
Emi Yamada ◽  
Tetsuya Tsuji ◽  
Takashi Hanakawa ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Brain Activity ◽  
Data Set ◽  
Gait Performance ◽  
The Brain

scholarly journals Training the Conductor of the Brainwave Symphony: In Search of a Common Mechanism of Action for All Methods of Neurofeedback

2021 ◽  
Author(s):  
Jen A. Markovics
Keyword(s):  
Operant Conditioning ◽  
Brain Activity ◽  
Low Frequency ◽  
Mechanisms Of Action ◽  
Current Evidence ◽  
Common Mechanism ◽  
Conditioning Paradigm ◽  
Conditioning Model ◽  
The Subject ◽  
The Brain

There are several different methods of neurofeedback, most of which presume an operant conditioning model whereby the subject learns to control their brain activity in particular regions of the brain and/or at particular brainwave frequencies based on reinforcement. One method, however, called infra-low frequency [ILF] neurofeedback cannot be explained through this paradigm, yet it has profound effects on brain function. Like a conductor of a symphony, recent evidence demonstrates that the primary ILF (typically between 0.01–0.1 Hz), which correlates with the fluctuation of oxygenated and deoxygenated blood in the brain, regulates all of the classic brainwave bands (i.e. alpha, theta, delta, beta, gamma). The success of ILF neurofeedback suggests that all forms of neurofeedback may work through a similar mechanism that does not fit the operant conditioning paradigm. This chapter focuses on the possible mechanisms of action for ILF neurofeedback, which may be generalized, based on current evidence.

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