Aamir saeed malik (16 Ergebnisse)

Zustand: New. pp. 334.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. In English.

Paperback. Zustand: Brand New. 279 pages. 8.75x6.00x0.75 inches. In Stock.

Paperback. Zustand: Brand New. 1st edition. 320 pages. 8.75x6.00x0.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Designing Eeg Experiments for Studying the Brain | Design Code and Example Datasets | Aamir Saeed Malik (u. a.) | Taschenbuch | Englisch | 2017 | Elsevier Science | EAN 9780128111406 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Eeg-Based Experiment Design for Major Depressive Disorder | Machine Learning and Psychiatric Diagnosis | Aamir Saeed Malik (u. a.) | Taschenbuch | Englisch | 2019 | Elsevier Science | EAN 9780128174203 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu. …

HRD. Zustand: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 1st edition. 334 pages. 9.00x6.00x0.75 inches. In Stock.

Zustand: New. Dr. Nidal Kamel received his PhD (Hons) from the Technical University of Gdansk, Poland, in 1993. Since 1993 he has been involved in research projects related to brain signal processing, estimation theory, noise reduction, optimal filter.

Buch. Zustand: Neu. Neuware - Changes in the neurological functions of the human brain are often a precursor to numerous degenerative diseases. Advanced EEG systems and other monitoring systems used in preventive diagnostic procedures incorporate innovative features for brain monitoring functions such as real-time automated signal processing techniques and sophisticated amplifiers. Highlighting the US, Europe, Australia, New Zealand, Japan, Korea, China, and many other areas, EEG/ERP Analysis: Methods and Applications examines how researchers from various disciplines have started to work in the field of brain science, and explains the different techniques used for processing EEG/ERP data. Engineers can learn more about the clinical applications, while clinicians and biomedical scientists can familiarize themselves with the technical aspects and theoretical approaches.This book explores the recent advances involved in EEG/ERP analysis for brain monitoring, details successful EEG and ERP applications, and presents the neurological aspects in a simplified way so that those with an engineering background can better design clinical instruments. It consists of 13 chapters and includes the advanced techniques used for signal enhancement, source localization, data fusion, classification, and quantitative EEG. In addition, some of the chapters are contributed by neurologists and neurosurgeons providing the clinical aspects of EEG/ERP analysis. - Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification - Examines new applications related to 3D display devices - Includes MATLAB® codes EEG/ERP Analysis: Methods and Applications is a resource for biomedical and neuroscience scientists who are working on neural signal processing and interpretation, and biomedical engineers who are working on EEG/ERP signal analysis methods and developing clinical instrumentation. It can also assist neurosurgeons, psychiatrists, and postgraduate students doing research in neural engineering, as well as electronic engineers in neural signal processing and instrumentation.…

Hardcover. Zustand: Brand New. 1st edition. 334 pages. 9.00x6.00x0.75 inches. In Stock.

Zustand: New. Editor(s): Kamel, Nidal; Malik, Aamir Saeed. Num Pages: 334 pages, 86 black & white illustrations, 19 black & white tables. BIC Classification: MJN; MMP. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 241 x 158 x 23. Weight in Grams: 650. . 2014. Hardback. . . . . Books ship from the US and Ireland. …