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portada Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities (Advances in Medical Technologies and Clinical Practice) (in English)
Type
Physical Book
Publisher
Author
Year
2018
Language
English
Pages
196
Format
Hardcover
ISBN13
9781522555803
Edition No.
1
Categories

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

Sara Moein (Author) · Medical Information Science Reference · Hardcover

Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities (Advances in Medical Technologies and Clinical Practice) (in English) - Sara Moein

Physical Book

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Synopsis "Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities (Advances in Medical Technologies and Clinical Practice) (in English)"

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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