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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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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2010
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| 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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