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http://dx.doi.org/10.6109/jicce.2010.8.2.201

Design of Kalman Filter to Estimate Heart Rate Variability from PPG Signal for Mobile Healthcare  

Lee, Ju-Won (Department of Medical Engineering, Andong Science College)
Publication Information
Journal of information and communication convergence engineering / v.8, no.2, 2010 , pp. 201-204 More about this Journal
Abstract
In the mobile healthcare system, a very important vital sign in analyzing the status of user health is the HRV (heart rate variability). The used signals for measuring the HRV are electrocardiograph and PPG (photoplethysmograph). In extracting the HRV from the PPG signal, an important issue is that extract the exactly HRV from PPG signal distorted from the user's movements. This study suggested a design method of the Kalman filter to solve the problem, and evaluated the performances of a proposed method by PPG signals containing motion artifacts. In the results of experiments that compared with a variable step size adaptive filter proposed in recently, the proposed method showed better performance than an adaptive filter.
Keywords
PPG(photoplethysmograph); HRV(heart rate variability); Kalman filter; Motion artifacts;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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