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Complexity analysis from EEG data in congestive heart failure: A study via approximate entropy

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Congestive heart failure (CHF) is a very complex clinical syndrome that may lead to ischemic cerebral hypoxia condition. The aim of the present study is to analyze the effects of… Click to show full abstract

Congestive heart failure (CHF) is a very complex clinical syndrome that may lead to ischemic cerebral hypoxia condition. The aim of the present study is to analyze the effects of CHF on brain activity through electroencephalographic (EEG) complexity measures, like approximate entropy (ApEn).

Keywords: congestive heart; heart failure; study; approximate entropy

Journal Title: Acta Physiologica
Year Published: 2023

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