Titlebook: Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems; E. Priya,V. Rajinikanth Book 2021 Springer N

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EEG Signal Extraction Analysis Techniques,ation implementation of EEG signal analysis in epilepsy with sudden unexpected death is analysed. In this work, structural and neurosignal alterations possibly attributable to epilepsy with sudden death pathogenesis are analysed using multimodal analysis of brain activity. The localization of the ep

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Book 2021f feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations..

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Segmentation and Validation of Infrared Breast Images Using Weighted Level Set and Phase Congruencyoss. The regional statistics measures such as EFI and Y-index are found to be 0.97 and 0.95, respectively, which indicate good correlation between the segmented and ground truth images. Hence, weighted level set method could be used to extract the breast tissue from other regions for automated analysis and clinical diagnosis.

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A Comprehensive Study of Image Fusion Techniques and Their Applications,ocus of researchers is moving toward hybrid fusion techniques, which could exploit the attributes of both multi-scale and non-multi-scale decomposition methods. An illustrative study in this paper would form the basis for nurturing advanced research ideas in the field of image fusion.

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EEG Signal Extraction Analysis Techniques, results. The combined features of MRI, EEG and ECG biomarkers are helpful in the diagnosis of epilepsy with sudden unexpected death and people at high level of threat. Multimodal analysis of EEG helps in better diagnosis of diseases.