Non Stationary Nonlinear Data Processing (9 results)

Paperback. Condition: new. Paperback. Non-stationary and nonlinear data processing for automated computer-aided medical diagnosis Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New.

Condition: New. 2026. paperback. . . . . .

Condition: New. Focuses on various signal analysis techniquesAddresses a wide range of applications, including the analysis and classification of signals related to neural, muscular, and cardiovascular diseasesCovers CAD methods for diagnosing var.

Paperback. Condition: new. Paperback. Non-stationary and nonlinear data processing for automated computer-aided medical diagnosis Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: Brand New. 500 pages. 7.52x1.05x9.25 inches. In Stock.

Condition: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Condition: Neu. Neuware - Non-Stationary and Nonlinear Data Processing for Automated Computer-Aided Medical Diagnosis demonstrates the applications of machine learning and deep learning combined with signal processing techniques for human-machine interface applications using EMG signals. The book includes the analysis and classification of various heart diseases based on bio-signals like electrocardiogram (ECG), photoplethysmography (PPG), and phonocardiogram (PCG) signals. Various machine learning approaches, including advanced algorithms like multivariate signal processing, time-frequency analysis, and nonlinear signal processing are covered for CAD of neural, muscular, and cardiovascular diseases. The methods for CAD of various brain disorders are also included.Presented techniques utilize advanced non-stationary and nonlinear signal processing, along with machine learning and deep learning-based classification processes. CAD methods for diagnosing various neurological diseases are based on bio-signals such as electroencephalogram (EEG) and magnetoencephalogram (MEG), as well as medical images like magnetic resonance imaging (MRI) and computerized tomography (CT). Finally, the book addresses various types of medical signals and images, integrating nonlinear and non-stationary signal processing, machine learning, and deep learning within the CAD framework for diagnosing various diseases.…

Paperback. Condition: new. Paperback. Non-stationary and nonlinear data processing for automated computer-aided medical diagnosis Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.