Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities (Advances in Medical Technologies and Clinical Practice) - Tapa dura

Moein, Sara

 
9781522555803: Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities (Advances in Medical Technologies and Clinical Practice)
Tapa dura
ISBN 10: 1522555803 ISBN 13: 9781522555803
Editorial: Medical Information Science Reference, 2018

Sinopsis

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.

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Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Medical Information Science Reference
Año de publicación
2018
Idioma
Inglés
ISBN 10 
1522555803
ISBN 13 
9781522555803
Encuadernación
Tapa dura
Número de páginas
216
Contacto del fabricante
no disponible
Persona responsable
no disponible