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دانلود کتاب تشخیص مبتنی بر EEG بیماری آلزایمر
EEG-Based Diagnosis of Alzheimer Disease, 1ed
|
EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer’s disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer’s Disease early, presenting new and innovative results in the extraction and classification of Alzheimer’s Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer’s Disease.
- Includes the mathematical models and rigorous analysis of various classifiers and machine learning algorithms from a perspective of clinical deployment
- Covers the history of EEG signals and their measurement and recording, along with their uses in clinical diagnostics
- Analyzes spectral, wavelet, complexity and other features of early and efficient Alzheimer’s Disease diagnostics
- Explores support vector machine-based classification to increase accuracy
Review
A practical guide to early and efficient signal processing methods for Alzheimer disease diagnostics
Contents
Chapter One – Introduction
Chapter Two – Electroencephalogram and Its Use in Clinical Neuroscience
Chapter Three – Role of Different Features in Diagnosis of Alzheimer Disease
Chapter Four – Use of Complexity Features for Diagnosis of Alzheimer Disease
Chapter Five – Classification Algorithms in Diagnosis of Alzheimer’s Disease
Chapter Six – Results, Discussions, and Research Challenges
لینک کوتاه : https://bookbaz.ir/?p=152551
نویسنده : Nilesh Kulkarni
ناشر : Academic Press; 1 edition
سال انتشار : 2019
زبان کتاب : انگلیسی
نوع فایل : PDF
تعداد صفحات : 103
(ISBN) شابک : 012815392X
قیمت کتاب درآمازون : $87.95
حجم فایل : 5 MB
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