Titlebook: Data Analysis for Neurodegenerative Disorders; Deepika Koundal,Deepak Kumar Jain,Atef Zaguia Book 2023 The Editor(s) (if applicable) and T

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Managing the Side Effects of Therapyn-motor PD symptoms. The EEG and EMG results for detecting early-stage PD were validated using other radiological data, such as a Brain Magnetic Imaging signal. The mathematical model for PD diagnosis was developed utilising an ANN and a graphical user interface. The ANN-designed classifier achieved

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1611-2482 real-world scenarios involving neurological disorders..This cutting-edge book highlights the analysis of medical data, together with novel procedures and challenges for handling neurological signals and images.978-981-99-2156-0978-981-99-2154-6Series ISSN 1611-2482 Series E-ISSN 2197-6635

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Overview of Neurodegenerative Disordersave all been accomplished using molecular epidemiology approaches. Brief overviews of the epidemiologic features of PD, AD, ALS, SCA, epilepsy, Lewy body disease, HD, and??cerebral aneurysm, are provided in this chapter, can help in diagnosis of underlying disease and their associated risk factors,

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Neurodegenerative Alzheimer’s Disease Disorders and Deep Learning Approachesbe done. Here is only one example of how this method may be applied. Even if only one individual is made aware of this, the ramifications might be terrible. Lastly, we compared our findings to those of an Alzheimer’s disease neuroimaging research study to show definitively that our technique is bene

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Automated Electroencephalogram Temporal Lobe Signal Processing for Diagnosis of Alzheimer Disease for the temporal lobe. EEG signals originating from temporal lobes are down-sampled to 5 bands of varying frequency and further used as a dataset for the classification model. Five datasets were created from 5 different bands are used for training and testing purpose in proportion of 70–30 respecti

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