Name
Abstract | ||
|---|---|---|
Removal of baseline wander is a crucial step in the signal conditioning stage of photoplethysmography signals. Hence, a method for removing the baseline wander from photoplethysmography based on two-stages of median filtering is proposed in this paper. Recordings from Physionet database are used to validate the proposed method. In this paper, the twostage moving average filtering is also applied to remove baseline wander in photoplethysmography signals for comparison with our novel two-stage median filtering method. Our experiment results show that the performance of two-stage median filtering method is more effective in removing baseline wander from photoplethysmography signals. This median filtering method effectively improves the cross correlation with minimal distortion of the signal of interest. Although the method is proposed for baseline wander in photoplethysmography signals, it can be applied to other biomedical signals as well. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/BIBE.2014.77 | Bioinformatics and Bioengineering |
Keywords | Field | DocType |
biomedical engineering,photoplethysmography,databases,correlation,interpolation | Cross-correlation,Computer vision,Signal conditioning,Median filter,Computer science,Photoplethysmogram,Filter (signal processing),Signal of interest,Artificial intelligence,Moving average,Distortion | Conference |
ISSN | Citations | PageRank |
2471-7819 | 1 | 0.63 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adewale Emmanuel Awodeyi | 1 | 6 | 1.91 |
| S. R. Alty | 2 | 28 | 6.44 |
| Mohammad Ghavami | 3 | 123 | 25.25 |