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Biomedical Signal Processing for Healthcare Applications (Emerging Trends in

Description: This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications. FEATURES Examines modeling and acquisition of biomedical signals of different disorders Discusses CAD-based analysis of diagnosis useful for healthcare Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG Includes case studies and research directions, including novel approaches used in advanced healthcare systems This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.

Price: 183 AUD

Location: Hillsdale, NSW

End Time: 2025-01-16T09:25:21.000Z

Shipping Cost: 31.3 AUD

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EAN: 9780367705879

UPC: 9780367705879

ISBN: 9780367705879

MPN: N/A

Book Title: Biomedical Signal Processing for Healthcare Applic

Item Length: 23.4 cm

Number of Pages: 316 Pages

Publication Name: Biomedical Signal Processing for Healthcare Applications

Language: English

Publisher: Taylor & Francis Ltd

Item Height: 234 mm

Subject: Engineering & Technology, Radiology

Publication Year: 2021

Type: Textbook

Item Weight: 603 g

Subject Area: Mechanical Engineering

Author: G. R. Sinha, Varun Bajaj, Chinmay Chakraborty

Item Width: 156 mm

Format: Hardcover

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