"Sinopsis" puede pertenecer a otra edición de este libro.
Biomedical Signal Analysis, Second Edition uses a pedagogical and illustrative approach to introduce various signal analysis techniques that are particularly important for biomedical applications.
The book presents digital signal processing and pattern recognition techniques for analysis of biomedical signals. It begins with an introduction on the nature of biomedical signals, such as the action potential, electrocardiogram, muscle signals, brain signals, heart sounds, and speech. A detailed review of signals and systems is presented to set the stage for filtering of biomedical signals to remove noise and various artifacts. Several filtering techniques are presented with applications, from simple averaging to advanced and sophisticated optimal filtering methods. Techniques for detection and characterization of events and waves within a given signal are described. Several advanced techniques are described for adaptive analysis of non-stationary signals using time-frequency, wavelet, and other forms of representation. The book concludes with a chapter on pattern classification techniques that could be used in diagnostic decision-making procedures.
The new edition of this book includes:
"Sobre este título" puede pertenecer a otra edición de este libro.
Gastos de envío:
EUR 11,64
De Reino Unido a Estados Unidos de America
Descripción Hardcover. Condición: Brand New. 2nd edition. 720 pages. 10.00x6.50x1.50 inches. In Stock. Nº de ref. del artículo: zk0470911395
Descripción Condición: New. Buy with confidence! Book is in new, never-used condition. Nº de ref. del artículo: bk0470911395xvz189zvxnew
Descripción Hardcover. Condición: new. New. Fast Shipping and good customer service. Nº de ref. del artículo: Holz_New_0470911395
Descripción Condición: new. Nº de ref. del artículo: FrontCover0470911395
Descripción Hardcover. Condición: new. New. Nº de ref. del artículo: Wizard0470911395
Descripción Hardcover. Condición: new. New Copy. Customer Service Guaranteed. Nº de ref. del artículo: think0470911395