Development of EEG measurement and processing system in LabVIEW development environment

AbstractOur research team has developed a system and methodology for measuring psycho-physiological parameters, which can be used to determine the level of fatigue and fitness of the person being measured. This article describes the electroencephalography (EEG) part of this system. This article covers the technical and mathematical background of EEG measurement, the selection and implementation of the measurement tool in the development environment, and the development of the measurement and processing algorithm. The result is a system that can detect, digitize, and process the digitized signal from the brain, and save the processed signal in an XML database.

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Study on an Integrated Development Environment for PAC with Complete Intellectual Property

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.135-136.944 ◽

2011 ◽

Vol 135-136 ◽

pp. 944-949

Author(s):

Ji Quan Yu ◽

Wan Tao Qian ◽

Xin Gang He

Keyword(s):

Data Management ◽

Research Team ◽

Interface Layer ◽

Functional Modules ◽

Integrated Development Environment ◽

Development Environment ◽

Integrated Development ◽

Text Input ◽

Input Mode ◽

Intellectual Properties

PAC(programmable automation controller) is a new trend of the industrial controller, but for now, most IDEs(integrated development environment) are still providing the PLC mode for users, which can not take full advantage of the PAC. Further more, in China, there is still not such IDE with complete intellectual properties for PACs designed by Chinese companies. For above purposes, the CHD-PACIDE was implemented which supported the ARM cortex-Mx series microcontrollers. This IDE consists of three layers, interface layer, data management layer and kernel layer, which managed functional modules respectively. Based on a C-like language Engineer C defined by our research team, the interface layer provided the structural graphical input mode and the text input mode for users to edit their code. The data management layer used the XML with specified format manage the flow of data. The kernel layer had two parts which were implemented in the IDE and the debug microcontroller stm8s, this layer can be used to debug user’s code through the Jtag port under the Coresight debugging structure of ARM. This IDE could be updated easily by adding the specific XML file for the new microcontroller used by the specific PAC.

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Brain-inspired model for decision-making in the selection of beneficial information patterns among signals received by an unpredictable information-development environment

10.31224/osf.io/5rq6e ◽

2021 ◽

Author(s):

Alireza Asgari ◽

yvan beauregard

Keyword(s):

Artificial Intelligence ◽

Decision Making ◽

Health And Safety ◽

Vital Role ◽

Successful Implementation ◽

Development Environment ◽

Brain Functions ◽

Operational Costs ◽

Industrial Operations ◽

The Brain

With its diversification in products and services, today’s marketplace makes competition wildly dynamic and unpredictable for industries. In such an environment, daily operational decision-making has a vital role in producing value for products and services while avoiding the risk of loss and hazard to human health and safety. However, it makes a large portion of operational costs for industries. The main reason is that decision-making belongs to the operational tasks dominated by humans. The less involvement of humans, as a less controllable entity, in industrial operation could also favorable for improving workplace health and safety. To this end, artificial intelligence is proposed as an alternative to doing human decision-making tasks. Still, some of the functional characteristics of the brain that allow humans to make decisions in unpredictable environments like the current industry, especially knowledge generalization, are challenging for artificial intelligence. To find an applicable solution, we study the principles that underlie the human brain functions in decision-making. The relative base functions are realized to develop a model in a simulated unpredictable environment for a decision-making system that could decide which information is beneficial to choose. The method executed to build our model's neuronal interactions is unique that aims to mimic some simple functions of the brain in decision-making. It has the potential to develop for systems acting in the higher abstraction levels and complexities in real-world environments. This system and our study will help to integrate more artificial intelligence in industrial operations and settings. The more successful implementation of artificial intelligence will be the steeper decreasing operational costs and risks.

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Is There a Link between Oropharyngeal Microbiome and Schizophrenia? A Narrative Review

International Journal of Molecular Sciences ◽

10.3390/ijms23020846 ◽

2022 ◽

Vol 23 (2) ◽

pp. 846

Author(s):

Stanislas Martin ◽

Audrey Foulon ◽

Wissam El Hage ◽

Diane Dufour-Rainfray ◽

Frédéric Denis

Keyword(s):

Periodontal Disease ◽

Research Team ◽

Oral Microbiome ◽

Oral Microbiota ◽

Future Studies ◽

The Subject ◽

The Moment ◽

The Impact ◽

The Brain

The study aimed to examine the impact of the oropharyngeal microbiome in the pathophysiology of schizophrenia and to clarify whether there might be a bidirectional link between the oral microbiota and the brain in a context of dysbiosis-related neuroinflammation. We selected nine articles including three systemic reviews with several articles from the same research team. Different themes emerged, which we grouped into 5 distinct parts concerning the oropharyngeal phageome, the oropharyngeal microbiome, the salivary microbiome and periodontal disease potentially associated with schizophrenia, and the impact of drugs on the microbiome and schizophrenia. We pointed out the presence of phageoma in patients suffering from schizophrenia and that periodontal disease reinforces the role of inflammation in the pathophysiology of schizophrenia. Moreover, saliva could be an interesting substrate to characterize the different stages of schizophrenia. However, the few studies we have on the subject are limited in scope, and some of them are the work of a single team. At this stage of knowledge, it is difficult to conclude on the existence of a bidirectional link between the brain and the oral microbiome. Future studies on the subject will clarify these questions that for the moment remain unresolved.

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Could Emotions Be Modelled through Information Processing?

Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-4666-7278-9.ch002 ◽

2015 ◽

pp. 63-82

Author(s):

Ebrahim Oshni Alvandi

Keyword(s):

Information Processing ◽

Cognitive Processes ◽

Environmental Variables ◽

Emotional Processing ◽

Processing System ◽

Human Beings ◽

Context Sensitive ◽

Emotional Agents ◽

The Brain

One way to evaluate cognitive processes in living or nonliving systems is by using the notion of “information processing”. Emotions as cognitive processes orient human beings to recognize, express and display themselves or their wellbeing through dynamical and adaptive form of information processing. In addition, humans behave or act emotionally in an embodied environment. The brain embeds symbols, meaning and purposes for emotions as well. So any model of natural or autonomous emotional agents/systems needs to consider the embodied features of emotions that are processed in an informational channel of the brain or a processing system. This analytical and explanatory study described in this chapter uses the pragmatic notion of information to develop a theoretical model for emotions that attempts to synthesize some essential aspects of human emotional processing. The model holds context-sensitive and purpose-based features of emotional pattering in the brain. The role of memory is discussed and an idea of control parameters that have roles in processing environmental variables in emotional patterning is introduced.

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5 Models of the world: from perception to hallucination

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp-2020-bnpa.5 ◽

2020 ◽

Vol 91 (8) ◽

pp. e2.3-e2

Author(s):

Paul Fletcher

Keyword(s):

Model Building ◽

Processing System ◽

Human Perception ◽

Predictive Processing ◽

External Reality ◽

Consultant Psychiatrist ◽

University Of Cambridge ◽

The World ◽

The University ◽

The Brain

Paul Fletcher is Wellcome Investigator and Bernard Wolfe Professor of Health Neuroscience at the University of Cambridge. He is also Director of Studies for Preclinical Medicine at Clare College and Honorary Consultant Psychiatrist with the Cambridgeshire and Peterborough NHS Foundation Trust. He studied Medicine, before carrying out specialist training in Psychiatry and taking a PhD in cognitive neuroscience. He researches human perception, learning and decision-making in health and mental illness.We do not have direct contact with external reality. We must rely on messages from the sense organs, conveying information about the state of the world and our bodies. These messages are not easy to decipher, being noisy and ambiguous, but from them we have to construct models of the world. I will discuss this challenge and how we are very adept at creating a model of reality based on achieving a balance between what our senses are telling us and our expectations of what should be the case. This is often referred to as the predictive processing framework.Relying on this balance comes at a cost, rendering us vulnerable to illusions and biases and, in more extreme cases, to creating a reality that diverges from that experienced by others. This can arise for a variety of reasons but, at the root, I suggest, lies the nature of the brain as a model-building organ. Though this divergence from reality – psychosis – often seems inexplicable and incomprehensible, I suggest that a few core principles can help us to understand it and offers ways of thinking about how phenomena like hallucinations can be understood. Interestingly, the framework suggests ways in which apparently similar phenomena like hallucinations can arise from distinct alterations to the function of a predictive processing system.

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Signal processing algorithm for thermal drift compensation in high-temperature down-hole instrumentation systems

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331216630360 ◽

2016 ◽

Vol 39 (8) ◽

pp. 1161-1168 ◽

Cited By ~ 2

Author(s):

Rito Mijarez ◽

David Pascacio ◽

Ricardo Guevara ◽

Joaquin Rodriguez

Keyword(s):

Signal Processing ◽

High Temperature ◽

Digital Signal Processor ◽

Electronic Device ◽

Processing Algorithm ◽

Measurement Tool ◽

Communication Link ◽

Thermal Drift ◽

Signal Processing Algorithm ◽

Laboratory Test Results

Down-hole oil and gas industry requirements for measuring thermodynamic and geophysical parameters, for instance pressure, temperature, vibration and multiphase flow, are challenging. Accomplishing these necessities requires a complete signal communications chain of high-performance components and effective signal processing communication techniques to provide system reliability. Nevertheless, noise interference, cable attenuation and thermal drift of the front-end passive electronic elements can lead to poor signal-to-noise ratio (SNR) and possibly loss of the communication link. This paper describes a signal processing algorithm implemented in a bidirectional communication system that exchanges data from a down-hole high pressure and high-temperature (HPHT) measurement tool to the surface installation. The communication channel is a multi-conductor coaxial logging cable also used as a power supply transmission line. The instrumentation system consists of a proprietary down-hole measurement tool, composed of an HPHT sensor and a high-temperature digital signal processor (DSP)-based electronic device; located in the surface installation is a data-acquisition equipment. The system employs a signal processing algorithm, based on the frequency domain SNR characterization of the whole communication chain, which determines in real time the optimal carrier frequency that is automatically implemented in the selected modulation/demodulation technique. The obtained laboratory test results of the down-hole tool, using changes in temperature from 25° to 185°C, provide a firm basis for testing and evaluating the system in the field.

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Oxide Growth Using the Water-Wall Arc Lamp

MRS Proceedings ◽

10.1557/proc-52-321 ◽

1985 ◽

Vol 52 ◽

Cited By ~ 4

Author(s):

Jeffrey C. Gelpey ◽

Paul O. Stump ◽

Ronald A. Capodilupo

Keyword(s):

Thermal Processing ◽

Rapid Thermal Processing ◽

Oxide Films ◽

Processing System ◽

Measurement Tool ◽

Oxide Growth ◽

Water Wall ◽

Different Temperatures ◽

Indirect Technique ◽

Direct Feedback

ABSTRACTThe uses of Rapid Thermal Annealing or Rapid Thermal Processing (RTP) have been expanding beyond the original post implant annealing. RTP has been used to reflow low temperature oxides (PSG or BPSG), anneal silicides and to sinter contacts. One application of RTP which is beginning to receive attention is the growth of oxides or nitrides of silicon.This paper will examine the use of a commercial rapid thermal processing system based on a very high power water-wall DC arc lamp to grow oxides on silicon wafers. The work includes a study of the growth rates of oxides at different temperatures. Direct feedback control of wafer temperature and high ramp-up and cool-down rates are used to minimize the effects of temperature errors or “tails” in the temperature/time profiles. Ellipsometry is used as the primary measurement tool to characterize the oxide films.In addition to using a pure, dry oxygen atmosphere, several oxygen-argon mixtures are used. The effects of atmosphere on the growth rate of the oxide film are reported.In order to become a practical application of RTP, oxide growth must be accomplished uniformly and reproducibly. These characteristics are machine-dependent. The uniformity of films grown in this system are discussed. The growth of oxide films and the uniformity measurements are used as an indirect technique to characterize the uniformity of the system. The reproducibility of film thickness is also examined.

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