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Electrocardiogram Signal Classification and Machine Learning - Sara Moein

Electrocardiogram Signal Classification and Machine Learning

Emerging Research and Opportunities

(Autor)

Buch | Hardcover
120 Seiten
2018
IGI Global (Verlag)
978-1-5225-5580-3 (ISBN)
CHF 277,55 inkl. MwSt
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Examines the importance of automatic normalization and classification of electrocardiogram signals of heart disorders. Featuring a range of topics, such as heart disorders, particle swarm optimization, and benchmarks functions, this publication is aimed at medical professionals, researchers, professionals, and students seeking current and relevant research on the categorization of ECG signals.
Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress in the diagnosis of heart disorders.

Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities is a critical scholarly resource that examines the importance of automatic normalization and classification of electrocardiogram (ECG) signals of heart disorders. Featuring a wide range of topics such as common heart disorders, particle swarm optimization, and benchmarks functions, this publication is geared toward medical professionals, researchers, professionals, and students seeking current and relevant research on the categorization of ECG signals.
Erscheinungsdatum
Verlagsort Hershey
Sprache englisch
Maße 178 x 254 mm
Gewicht 612 g
Themenwelt Mathematik / Informatik Informatik
Medizin / Pharmazie Allgemeines / Lexika
Medizinische Fachgebiete Innere Medizin Kardiologie / Angiologie
ISBN-10 1-5225-5580-3 / 1522555803
ISBN-13 978-1-5225-5580-3 / 9781522555803
Zustand Neuware
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