Signals and systems analysis in biomedical engineering / Robert B. Northrop

Por: Northrop, Robert BTipo de material: TextoTextoSeries Biomedical engineering ; 8Detalles de publicación: Boca raton : CRC Press, 2003 Descripción: 402 p. ; 24 cmISBN: 0-8493-1557-3Tema(s): Ingeniería biomédica | Procesado de señalesResumen: Focuses on the mathematical tools required to analyze and describe the signals and systems found in biomedical engineering. Includes a comprehensive chapter on time-frequency analysis. Provides many algorithms for computing joint time-frequency spectrograms. Reviews the current simulation software for physiological signals and systems. Includes numerous problems with biomedical applications that can be solved using MATLAB. The interdisciplinary field of biomedical engineering requires its followers to master not only engineering skills, but also a diversity of material in the biological sciences. This text helps biomedical engineers strengthen their skills in the common network of applied mathematics that ties together these diverse disciplines. Based on the author's 30 years of experience in teaching as well as his personal research on neurosensory systems, Signals and Systems Analysis in Biomedical Engineering provides a ready source of information on those specialized mathematical techniques most useful in describing and analyzing biomedical signals, including ECG, EEG, blood pressure, biochemical spectrograms, and tomographic images.
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Bibliografía: p. 391-398

Focuses on the mathematical tools required to analyze and describe the signals and systems found in biomedical engineering. Includes a comprehensive chapter on time-frequency analysis. Provides many algorithms for computing joint time-frequency spectrograms. Reviews the current simulation software for physiological signals and systems. Includes numerous problems with biomedical applications that can be solved using MATLAB. The interdisciplinary field of biomedical engineering requires its followers to master not only engineering skills, but also a diversity of material in the biological sciences. This text helps biomedical engineers strengthen their skills in the common network of applied mathematics that ties together these diverse disciplines. Based on the author's 30 years of experience in teaching as well as his personal research on neurosensory systems, Signals and Systems Analysis in Biomedical Engineering provides a ready source of information on those specialized mathematical techniques most useful in describing and analyzing biomedical signals, including ECG, EEG, blood pressure, biochemical spectrograms, and tomographic images.

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