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Bioelectrical Signal Processing in Cardiac and Neurological Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Bioelectrical Signal Processing in Cardiac and Neurological Applications
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Sornmo, Leif/ Laguna, Pablo 作者
Academic Pr
譯者
2005-6 出版日期
688 頁數
$ 140.12 價格
HRD
叢書系列
9780124375529 圖書編碼

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Bioelectrical Signal Processing in Cardiac and Neurological Applications 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Bioelectrical Signal Processing in Cardiac and Neurological Applications 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Bioelectrical Signal Processing in Cardiac and Neurological Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Bioelectrical Signal Processing in Cardiac and Neurological Applications 在線電子書 著者簡介

Bioelectrical Signal Processing in Cardiac and Neurological Applications 在線電子書 著者簡介

Bioelectrical Signal Processing in Cardiac and Neurological Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Bioelectrical Signal Processing in Cardiac and Neurological Applications 在線電子書 圖書描述

The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications-the two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. Bioelectrical Signal Processing is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers. Solutions Manual available online at http://www.textbooks.elsevier.com * A problem-driven, interdisciplinary presentation of biomedical signal processing * Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked potentials, EMG) * Covers both classical and recent signal processing techniques * Emphasis on model-based statistical signal processing * Comprehensive exercises and illustrations * Extensive bibliography * For companion web site with project descriptions and signals for download see www. biosignal.lth.se

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