Data Fusion for Improved Respiration Rate Estimation
نویسندگان
چکیده
منابع مشابه
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 modify the noise covariance matrix of the KF which discounts the effect of noisy data. The signal qua...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2010
ISSN: 1687-6180
DOI: 10.1155/2010/926305