The mountaineer’s method for peak detection in photoplethysmographic signals
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Redalyc
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad de Antioquia
2019
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| _version_ | 1876479884207849472 |
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| author | Erick Javier Argüello-Prada |
| author_facet | Erick Javier Argüello-Prada |
| contents | The mountaineer’s method for peak detection in photoplethysmographic signals Erick Javier Argüello-Prada Ingeniería low peak detection amplitude signals adaptive threshold noise contamination Several efforts have been made to develop algorithms for accurate peak detection in photoplethysmographic (PPG) signals. Most of those algorithms have been specifically conceived to perform under high motion artifact and baseline drift conditions. However, little has been done regarding peak detection in low-amplitude PPG signals. In an attempt to address this issue, a simple and real-time peak detection algorithm for PPG signals was proposed. In comparison with two other well-established peak detection algorithms, the proposed method was able to achieve over than 98% sensitivity and less than 3% failed detection rate, even when the amplitude of the PPG signal dropped to 0.2 V. Still, further work is needed to improve its robustness to motion artifacts. 2019 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43065097006 https://www.redalyc.org/journal/430/43065097006/ https://www.redalyc.org/journal/430/43065097006/html/ https://www.redalyc.org/journal/430/43065097006/43065097006.epub https://www.redalyc.org/journal/430/43065097006/movil 10.17533/udea.redin.n90a06 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.90 |
| format | Artículo científico |
| id | redalyc_43065097006 |
| institution | Redalyc |
| language | en |
| publishDate | 2019 |
| publisher | Universidad de Antioquia |
| spellingShingle | The mountaineer’s method for peak detection in photoplethysmographic signals Erick Javier Argüello-Prada Ingeniería low peak detection amplitude signals adaptive threshold noise contamination The mountaineer’s method for peak detection in photoplethysmographic signals Erick Javier Argüello-Prada Ingeniería low peak detection amplitude signals adaptive threshold noise contamination Several efforts have been made to develop algorithms for accurate peak detection in photoplethysmographic (PPG) signals. Most of those algorithms have been specifically conceived to perform under high motion artifact and baseline drift conditions. However, little has been done regarding peak detection in low-amplitude PPG signals. In an attempt to address this issue, a simple and real-time peak detection algorithm for PPG signals was proposed. In comparison with two other well-established peak detection algorithms, the proposed method was able to achieve over than 98% sensitivity and less than 3% failed detection rate, even when the amplitude of the PPG signal dropped to 0.2 V. Still, further work is needed to improve its robustness to motion artifacts. 2019 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43065097006 https://www.redalyc.org/journal/430/43065097006/ https://www.redalyc.org/journal/430/43065097006/html/ https://www.redalyc.org/journal/430/43065097006/43065097006.epub https://www.redalyc.org/journal/430/43065097006/movil 10.17533/udea.redin.n90a06 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.90 |
| title | The mountaineer’s method for peak detection in photoplethysmographic signals |
| topic | Ingeniería low peak detection amplitude signals adaptive threshold noise contamination |
| url | https://www.redalyc.org/articulo.oa?id=43065097006 https://www.redalyc.org/journal/430/43065097006/ https://www.redalyc.org/journal/430/43065097006/html/ https://www.redalyc.org/journal/430/43065097006/43065097006.epub https://www.redalyc.org/journal/430/43065097006/movil |