Key result
A de-noising method using NLMS adaptive filtering and EEMD accurately calculated heart rate from PPG signals during motion, achieving a Pearson correlation of 0.731 and 6.10% average absolute error.
The proposed NLMS and EEMD-based de-noising method can accurately calculate heart rate from PPG signals during human motion.
Promising for motion-robust PPG monitoring in wearables; extends technical validation but leaves open clinical adoption.
In order to eliminate the influence of motion artifacts, high-frequency noise and baseline drift on photoplethysmographic (PPG), and to obtain the accurate value of heart rate in motion state, this paper proposed a de-noising method of PPG signal based on normalized least mean square (NLMS) adaptive filtering combining ensemble empirical mode decomposition(EEMD). Firstly, the PPG signal containing noise is passed through an adaptive filter with a 3-axis acceleration sensor as a reference signal to filter out motion artifacts. Secondly, the PPG signal is decomposed by EEMD to obtain a series of intrinsic modal function (IMF) according to the frequency from high to low. The threshold range of the signal is judged by the permutation entropy (PE) criterion, thereby filtering out the high frequency noise and the baseline drift. The experimental results show that the Pearson correlation coefficient between the calculated heart rate of PPG signal and the standard heart rate based on electrocardiogram (ECG) signal is 0.731 and the average absolute error percentage is 6.10% under different motion states, which indicates that the method can accurately calculate the heart rate in moving state and is beneficial to the physiological monitoring under the state of human motion.
No takes yet. Share an insight, caveat, or question.
Geng et al. (2020) studied Heart rate monitoring during motion. De-noising method of PPG signal based on NLMS adaptive filtering combining EEMD vs. Standard heart rate based on ECG signal was evaluated on Pearson correlation coefficient and average absolute error percentage (Pearson correlation coefficient 0.731, average absolute error 6.10%). A de-noising method using NLMS adaptive filtering and EEMD accurately calculated heart rate from PPG signals during motion, achieving a Pearson correlation of 0.731 and 6.10% average absolute error.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: