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Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter

Physiological signals such as the electrocardiogram (ECG) and arterial blood pressure (ABP) in the intensive care unit (ICU) are often severely corrupted by noise, artifact and missing data, which lead to large errors in the estimation of the heart rate (HR) and ABP. A robust HR estimation method is...

詳細記述

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書誌詳細
主要な著者: Li, Q, Mark, R G, Clifford, G D
フォーマット: Artigo
言語:Inglês
出版事項: 2007
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2259026/
https://ncbi.nlm.nih.gov/pubmed/18175857
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0967-3334/29/1/002
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