RECENT PRACTICES IN EEG: CURRENT TRENDS AND RESEARCHES By [writer name] Presented to [department name] [college/university name] [date] EEG remains one of the most innovative technologies to understand the working of the brain through its neural activity and wave propagation…
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This is indeed a step forward from the traditional use of EEG, where its function was limited to the assessment of a person’s brain activity. Such advances have become a reality with the identification of new neural signals, voluntary EEG patterns and creation of the brain computer interface or the BCI (Barreto et al, 1996, pp 73). The automated neural network system based spike detection systems can work utilizing either of the two components (Kalayci and Ozdamar, 1995, pp 160 and 162). It can either utilize the extracted EEG parameters or it can use the raw EEG signals. The proper selections of the data, in this case the spikes and slopes, lead to more accuracy in the final results (Kalayci and Ozdamar, 1995, pp 160 and 162). There are many reasons why the use of new methods is advocated. For example, feature selection has been a very effective tool in communicating with patients who are otherwise paralyzed, and cannot carry out physical motion to show responses (Deriche and Al-Ani, 2002, pp 2961). The feature selection helps in creating a patient code to understand the reaction that he or she is providing. Utilizing these signals from the brain can help create a brain computer interface or BCI, which allows for correct interpretation (Deriche and Al-Ani, 2002, pp 2961). ...
This wave helps in channeling the neural processes of one particular movement, which leads to the creation of a series of reactions and neural synaptic activity at the related junctions. The phenomena have been termed as “Event Related Desynchronization” or ERD (Barreto et al, 1996, pp 73). In this regard, the classification of these activities can be carried out through classification of the readiness potentials, using a 12 electrode subset of 10-20 International Electrode System. Readiness potentials are the “transient activation of the current dipoles with characteristic location and temporal pattern of activation” (Barreto et al, 1996, pp 74). For better analysis of the EEG, a technology known as the Artificial neural networks was developed (Guo et al, 2009, pp 178). This technique has been shown to improve the assessment of the brain signals better, by identifying complex patterns and classifying different waves with ease (Guo et al, 2009, pp 178). The system uses a variety of algorithms, the most notable of which is the back propagation algorithm. This system ensures the removal of errors from the data and helps in creating a clear idea of the changes taking place in the EEG (Guo et al, 2009, pp 178). Feature extraction stage is among the initial stages of automated analysis. Feature selection can be based on the concept of “mutual information”, which allows measurement of the strength between different variables (Deriche and Al-Ani, 2002, pp 2962). These can be of many types, examples of which include spectral analysis based on parametric (AR modeling), non parametric (FFT) and multi-scale (WVT). All of these models are based on the calculations of the various powers of
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Executive Summary Elite Careers is an UK based recruiting agency, which is part of Elite, a ?300m turnover group of recruitment companies owned by James Caan. Elite Career recruits highly skilled and equipped prospective employees from emerging markets all over the world, for placements in well known companies that operate Africa, Middle East Asia and also Southern America.
The research question has been chosen to be “What are the impacts of the Data Warehousing and OLAP Models on Management Accounting?” along with few assumptions. To analyse this question, qualitative data in the form of questionnaire were collected from specific participants who are directly involved in such OLAP and data warehousing systems.
The retail sector is the largest sector of the private economy in the UK but the employers face considerable challenges as it employs the highest number of part-time workers, suffers high attrition rate, has a poor image as a career destination, particularly for talented staff.
4.1 Data Collection For collecting the research data, qualitative approach was adopted. The data was mainly gathered through focus groups, questionnaires and interviews with different participant samples to gain information enriched with experiential knowledge of the sample to conduct the current study involving complex social and psychological dimensions.
Analytical hierarchy process (AHP) has been mentioned in many articles that it could be used widely through variety of industries and demonstrated afterwards changes. In many industries, the main cost of a product consists of the cost of raw materials and component parts; in some cases it can account for up to 70 per cent (Ghobadian, A.
Introduction Social Services include any form of organized effort aimed at addressing a social cause for the betterment of weaker sections of the society. Services may be provided in the sectors ranging from education, health-care and child-care to counseling and rehabilitation.
This college was selected for the purpose of the study as the researcher has access to the management authorities and permission to conduct the study could be obtained. The questionnaires were emailed to the students through the college admission manager’s office.
Table of Contents 1 References 12 1. Introduction. Data mining is commonly recognized as an interactive and iterative process. The development of the Knowledge Discovery and Data Mining System (KDDMS) has been one of the long term aims of data mining so as to support the process of data mining.
This approach tends to rely strongly on predictive and preventive maintenance rather than corrective maintenance since problems are discovered before a breakdown actually occurs (Jar dine & Lin, 2006). However, it needs to be kept in mind that such methods may not always be successful given the complex interaction between various levels of components in any practical mechanical system.
The aim of the research is also to provide alternate solutions to overcome those drawbacks. Classification, clustering, and aggregation are some of the data mining hot topics that are of extreme value in all engineering and scientific areas, such as, biological, physical and bio-medical sciences.
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