Indian Journal of Science and Technology

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


The feasibility of machine learning and data mining has been recognized by past research in the analysis of biomedical device data. The proposed work analyses the biomedical Electroencephalography (EEG) device data using visualization techniques and these techniques have potential for extracting information from huge data sets. The presented work includes extraction of visual patterns using different visualization techniques. The pattern identification task is performed in several stages like outlier removal from EEG. After outlier detection data is divided into manageable segments to avoid overcrowding of data points. Then random method is applied to select a segment and identify prominent patterns by application of visual mapping techniques.

Keywords

Corrogram, EEG, Parallel Coordinates, Radar Chart, Sampling, Visual Data Mining.
User