Key result
A fixed-interval Kalman smoother reduced motion artifacts from photoplethysmography signals more effectively than conventional adaptive filtering algorithms.
Why the study?
Does a fixed-interval Kalman smoother reduce motion artifacts in PPG signals better than conventional adaptive filtering algorithms?
Comparison
Fixed-interval Kalman smoother with simultaneous… vs Usual adaptive filtering algorithms
Design
Other
Authors
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May improve ambulatory PPG reliability; leaves open clinical validation before routine use.
Does a fixed-interval Kalman smoother reduce motion artifacts in PPG signals better than conventional adaptive filtering algorithms?
The fixed-interval Kalman smoother is an effective method for reducing motion artifacts in PPG signals, potentially improving the reliability of cardiovascular monitoring.
Lee et al. (2010) studied Motion artifacts in photoplethysmography (PPG) signals. Fixed-interval Kalman smoother vs. Normalized least mean squares, recursive least squares, and conventional Kalman filter was evaluated on Reduction of motion artifacts from the PPG signal. A fixed-interval Kalman smoother reduced motion artifacts from photoplethysmography signals more effectively than conventional adaptive filtering algorithms.