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| Content Provider | IET Digital Library |
|---|---|
| Author | Kim, H. H. Kim, Y. Kim, J. H. Lee, E. C. |
| Abstract | A novel method for restoring photoplethysmography (PPG) signals using electrocardiography correspondences and support vector regression (SVR) is proposed. To enhance the PPG quality, five correspondences between the period signals of PPG and ECG were automatically detected, and their position and amplitude are independently trained for defining the estimator. The result shows that the quality of the PPG signal restored using the proposed method is greatly enhanced and becomes similar to that of the ECG signal. |
| Starting Page | 1518 |
| Ending Page | 1520 |
| Page Count | 3 |
| ISSN | 00135194 |
| Volume Number | 49 |
| e-ISSN | 1350911X |
| Issue Number | Issue 24, Nov (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/49/24 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2013.2737 |
| Journal | Electronics Letters |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Bioelectric Potentials Bioelectric Signal Biology And Medical Computing Digital Signal Processing ECG Signal Electrical Activity in Neurophysiological Processes Electrocardiography Electrodiagnostics And Other Electrical Measurement Technique Knowledge Engineering Technique Medical Signal Processing Photoplethysmography Photoplethysmography Signal PPG Signal Probability Theory Regression Analysis Signal Processing And Detection Signal Restoration Statistics Stochastic Linearised SCUC Support Vector Machine Support Vector Regression SVR |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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