nach der Bestellung gedruckt Neuware - Printed after ordering - Technological advancements have enhanced all functions of society and revolutionized the healthcare field. Smart healthcare applications and practices have grown within the past decade, strengthening overall care. Biomedical signals observe physiological activities, which provide essential information to healthcare professionals. Biomedical signal processing can be optimized through artificial intelligence (AI) and machine learning (ML), presenting the next step towards smart healthcare. AI-Enabled Smart Healthcare Using Biomedical Signals will not only cover the mathematical description of the AI- and ML-based methods, but also analyze and demonstrate the usability of different AI methods for a range of biomedical signals. The book covers all types of biomedical signals helpful for smart healthcare applications. Covering topics such as automated diagnosis, emotion identification, and frequency discrimination techniques, this premier reference source is an excellent resource for healthcare administration, biomedical engineers, medical laboratory technicians, medical technology assistants, computer scientists, libraries, students and faculty of higher education, researchers, and academicians.

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Bibliographic Details

Title: AI-Enabled Smart Healthcare Using Biomedical Signals
Publisher: IGI Global
Publication Date: 2022
Language: English
ISBN 10: 1668439476
ISBN 13: 9781668439470
Binding: Buch
Condition: Neu
Dimensions: 286 millimeters width by 221 millimeters height by 23 millimeters depth
Weight: 1136 grams

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"The book will not only cover the mathematical description of the AI- and ML-based methods; it will also analyze and demonstrate the usability of different AI methods for a range of biomedical signals"--

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