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

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作者： Li Q ^[1] ; Mark RG ^[2] ; Clifford GD ^[3]

作者单位： Harvard Univ, MIT, Div Hlth Sci & Technol, Cambridge, MA 02139 USA ^[1] MIT, Cambridge, MA 02139 USA ^[2] Shandong Univ, Sch Control Sci & Engn, Sch Med, Inst Biomed Engn, Shandong, Peoples R China ^[3]

关键词 data fusion blood pressure ECG EKG electrocardiogram heart rate Kalman filter robust estimation signal quality INTENSIVE-CARE-UNIT ARTERIAL-BLOOD PRESSURE OPEN-SOURCE ALGORITHM QRS DETECTION ARRHYTHMIA DATABASE DETECT ONSET FALSE ALARMS FUSION ELECTROCARDIOGRAM ARTIFACTS

发布时间 2013-11-20

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Physiological measurement

2008年29卷1期

15-32页

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Physiological measurement

2008年29卷1期

15-32页

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

Physiological measurement

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Physiological measurement

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

Physiological measurement

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Physiological measurement

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