A review on Machine Learning Techniques for Neurological disorders estimation by Analyzing EEG Waves
Journal Title: International Journal of Trend in Scientific Research and Development - Year 2017, Vol 2, Issue 1
Abstract
With the fast improvement of neuroimaging data acquisition strategies, there has been a significant growth in learning neurological disorders among data mining and machine learning communities. Neurological disorders are the ones that impact the central nervous system (including the human brain) and also include over 600 disorders ranging from brain aneurysm to epilepsy. Every year, based on World Health Organization (WHO), neurological disorders affect much more than one billion people worldwide and count for up to seven million deaths. Hence, useful investigation of neurological disorders is actually of great value. The vast majority of datasets useful for diagnosis of neurological disorders like electroencephalogram (EEG) are actually complicated and poses challenges that are many for data mining and machine learning algorithms due to their increased dimensionality, non stationarity, and non linearity. Hence, an better feature representation is actually key to an effective suite of data mining and machine learning algorithms in the examination of neurological disorders. With this exploration, we use a well defined EEG dataset to train as well as test out models. A preprocessing stage is actually used to extend, arrange and manipulate the framework of free data sets to the needs of ours for better training and tests results. Several techniques are used by us to enhance system accuracy. This particular paper concentrates on dealing with above pointed out difficulties and appropriately analyzes different EEG signals that would in turn help us to boost the procedure of feature extraction and enhance the accuracy in classification. Along with acknowledging above issues, this particular paper proposes a framework that would be useful in determining man stress level and also as a result, differentiate a stressed or normal person/subject. Vijaykumar Janga | Prof. E Sreenivasa Reddy"A review on Machine Learning Techniques for Neurological disorders estimation by Analyzing EEG Waves" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7082.pdf http://www.ijtsrd.com/engineering/information-technology/7082/a-review-on-machine-learning-techniques-for-neurological-disorders-estimation-by-analyzing-eeg-waves/vijaykumar-janga
Traditional Infrastructure vs. Firebase Infrastructure
The purpose of this study is to introduce everyone with the amazing features of Firebase that can be useful to rocket boost an Application. Traditionally to get best out of an app we need a huge, expensive, bulky methods...
MATLAB Implementation of Polar Codes for 5G Systems
Channel Coding for the 5G wireless networks is facing novel challenges. Turbo and LDPC code doesn’t meet the requirements of 5G usage scenarios. Thus polar code are evolved. Different decoding approaches are used, such a...
Interdependence of Factors Affecting Intensity of Incident Solar Radiation during Solar Eclipse
Solar eclipses are one of those rare yet predictable events which bear the potential to render impacts on the functioning of a solar power plant. Solar radiation being the input to a solar power plant, plays a vital role...
Integrity Assurance with Minimum Location Disclosure on Mobile Devices by Using Pmac
Since the boom of smart phones and location-based services, spatio-temporal data i.e., user locations with timestamps have become increasingly essential in many real-life applications. To ensure these data are faithfully...
Experimental Research on Power Quality Improvement using Capacitor Bank for 500 kVA Three Phase Transformer
This research is to improve the power quality for 500kVA three phase transformer using capacitor bank at Technological University Mandalay . The main purpose of installing a capacitor bank is to compensate the reactive p...