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Data Fusion for Improved Respiration Rate Estimation

We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the underlying signal quality of respiratory signals is presented and then used to modi...

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書誌詳細
主要な著者: Nemati, Shamim, Malhotra, Atul, Clifford, Gari D.
フォーマット: Artigo
言語:Inglês
出版事項: 2010
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2929127/
https://ncbi.nlm.nih.gov/pubmed/20806056
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2010/926305
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