Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis
Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis - Image 2
Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis - Image 3

Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis

₹4,500.00

  • Check Mark Estimated Delivery : Up to 4 business days
  • Check Mark Free Shipping & Returns : On all orders over $200
  • Visa Card
  • MasterCard
  • American Express
  • Discover Card
  • PayPal
  • Apple Pay
Guaranteed Safe And Secure Checkout

Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis

Abstract-Quantification of abnormality in brain signals may reveal brain conditions and pathologies. In this study, we investigate different electroencephalography (EEG) feature extraction and classification techniques to assist in the diagnosis of both epilepsy and autism spectrum disorder (ASD). First, the EEG signal is pre-processed to remove major artifacts before being? decomposed into several EEG sub-bands using a discrete-wavelet-transform (DWT). Two nonlinear methods were studied, namely, Shannon entropy and largest Lyapunov exponent, which measure complexity and chaoticity in the EEG recording, in addition to the two conventional methods (namely, standard deviation and band power). We also study the use of a cross-correlation approach to measure synchronization between EEG channels, which may reveal abnormality in communication between brain regions. The extracted features are then classified using several classification methods. Different EEG datasets are used to verify the proposed design exploration techniques: the University of Bonn dataset, the MIT dataset, the King Abdulaziz University dataset, and our own EEG recordings (46 subjects). The combination of DWT, Shannon entropy, and k-nearest neighbor (KNN) techniques produces the most promising classification result, with an overall accuracy of up to 94.6% for the three-class (multi-channel) classification problem. The proposed method obtained better classification accuracy compared to the existing methods and tested using larger and more comprehensive EEG dataset.

450

[numbers_sections number=”1″ title=”Including =Packages=” last=”no” ]

[/numbers_sections]

[numbers_sections number=”2″ title=”Our =Specialization=” last=”no” ]

[/numbers_sections]

[numbers_sections number=”3″ title=”Support =Service=” last=”yes” ]

[/numbers_sections]

[one_third class=”” last=”no” ]

[banner width=”0″ height=”92″ url=”#” target=”no” title=”CUSTOMER SUPPORT” subtitle=”Call us +91 967-778-1155″ title_size=”16″ title_size_hover=”10″ subtitle_size=”12″ subtitle_size_hover=”17″ icon_size=”38″ icon_size_hover=”52″ background=”” background_image=”” border=”#d0cece” color_icon=”#a1a1a1″ color_title=”#000000″ color_subtitle=”#666464″ background_hover=”#464646″ border_hover=”” color_icon_hover=”#f09d0c” color_title_hover=”#d0cece” color_subtitle_hover=”#fff” type=”switch-text” icon=”phone” style=”no” ]

[/one_third]

[one_third class=”” last=”no” ]

[banner width=”0″ height=”92″ url=”http://myprojectbazaar.com/testimonial/” target=”no” title=”HAPPY CUSTOMERS” subtitle=”Read the testimonials” title_size=”16″ title_size_hover=”10″ subtitle_size=”12″ subtitle_size_hover=”17″ icon_size=”35″ icon_size_hover=”50″ background=”” background_image=”” border=”#d0cece” color_icon=”#a1a1a1″ color_title=”#000000″ color_subtitle=”#666464″ background_hover=”#464646″ border_hover=”” color_icon_hover=”#f09d0c” color_title_hover=”#d0cece” color_subtitle_hover=”#fff” type=”switch-text” icon=”comments-alt” style=”no” ]

[/one_third]

[one_third class=”” last=”yes” ]

[banner width=”0″ height=”92″ url=”http://myprojectbazaar.com/blogs/” target=”no” title=”LATEST NEWS” subtitle=”enjoy our blog” title_size=”16″ title_size_hover=”10″ subtitle_size=”12″ subtitle_size_hover=”17″ icon_size=”35″ icon_size_hover=”50″ background=”” background_image=”” border=”#d0cece” color_icon=”#a1a1a1″ color_title=”#000000″ color_subtitle=”#666464″ background_hover=”#464646″ border_hover=”” color_icon_hover=”#f09d0c” color_title_hover=”#d0cece” color_subtitle_hover=”#fff” type=”switch-text” icon=”bullhorn” style=”no” ]

[/one_third]

[space][clear]

[box_title ]Statistical Report[/box_title]
[random_numbers icon=”http://myprojectbazaar.com/wp-content/uploads/2013/12/110.jpg” text=”satisfied customers” number=”3,589″ last=”no” ][random_numbers icon=”http://myprojectbazaar.com/wp-content/uploads/2013/12/25.jpg” text=”Freelance projects” number=”983″ last=”no” ][random_numbers icon=”http://myprojectbazaar.com/wp-content/uploads/2013/12/311.jpg” text=”sales on Site” number=”11,021″ last=”no” ][random_numbers icon=”http://myprojectbazaar.com/wp-content/uploads/2013/12/41.jpg” text=”developers” number=”175+” last=”yes” ]
[space][clear]

ieee_final_year_projectsstudent_projectsieee_projects

Domains

Signal Processing
Programming Language

Matlab

Related products