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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