Bøger af Mridu Sahu

Brain and Behavior Computing offers insights into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal processing, image processing, data sciences, statistics further it includes fundamental, mathematical model, algorithms, case studies, and future research scopes. It further illustrates brain signal sources and how the brain signal can process, manipulate, and transform in different domains allowing researchers and professionals to extract information about the physiological condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, and clustering. Discusses data sciences and its applications in brain computing visualization. Covers all the most recent tools for analysing the brain and it's working.Describes brain modeling and all possible machine learning methods and their uses.Augments the use of data mining and machine learning to brain computer interface (BCI) devices.Includes case studies and actual simulation examples.This book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.

A Brain Computer Interface is an electronic device used for communication by patients with motor neuron disorders. With the use of a BCI the performance of rehabilitative techniques for patients with neuron disease shows improvement. The brain Electroencephalogram signals, detected and recorded by the BCI are used for analysis. These electrical signals by-pass the damaged neurons of the brain and are recorded by the device to capture and understand the patient¿s intent. The P300 component of ERP used for the detection of attention towards a character is a popular technique for analyzing the intent of patients. This proposed method works well in overt attention. But the signal to noise ratio of EEG signals is low which hinders the efficiency of communication. Hence, for efficient use of BCI, a new method is devised, based on the principle of covert based attention, where target appearing within the visual periphery of eye gaze is recorded as an ERP. This is the Geometric Speller that is used for patients with Locked-in Syndrome, i.e., those suffering from impaired or loss of eye movement. Hence the two devices are compared in the covert and overt attention.