Schäck, T. ; Sledz, C. ; Muma, M. ; Zoubir, A. M. (2015)
A new method for heart rate monitoring during physical exercise using photoplethysmographic signals.
European Signal Processing Conference 2015 (EUSIPCO 2015).
doi: 10.1109/EUSIPCO.2015.7362868
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Accurate and reliable estimation of the heart rate using wearable devices, especially during physical exercise, must deal with noisy signals that contain motion artifacts. We present an approach that is based on photoplethysmographic (PPG) signals which are measured with two wrist-type pulse oximeters. The heart rate is related to intensity changes of the reflected light. Our proposed method suppresses the motion artifacts by adaptively estimating the transfer functions of each of the three-axis acceleration signals that produce the artifacts in the PPG signals. We combined the output of the six adaptive filters into a single enhanced time-frequency domain signal based on which we track the heart rate with a high accuracy. Our approach is real-time capable, computationally efficient and real data results for a benchmark data set illustrate the superior performance compared to a recently proposed approach.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2015 |
| Autor(en): | Schäck, T. ; Sledz, C. ; Muma, M. ; Zoubir, A. M. |
| Art des Eintrags: | Bibliographie |
| Titel: | A new method for heart rate monitoring during physical exercise using photoplethysmographic signals |
| Sprache: | Deutsch |
| Publikationsjahr: | August 2015 |
| Ort: | Nice, France |
| Veranstaltungstitel: | European Signal Processing Conference 2015 (EUSIPCO 2015) |
| DOI: | 10.1109/EUSIPCO.2015.7362868 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Accurate and reliable estimation of the heart rate using wearable devices, especially during physical exercise, must deal with noisy signals that contain motion artifacts. We present an approach that is based on photoplethysmographic (PPG) signals which are measured with two wrist-type pulse oximeters. The heart rate is related to intensity changes of the reflected light. Our proposed method suppresses the motion artifacts by adaptively estimating the transfer functions of each of the three-axis acceleration signals that produce the artifacts in the PPG signals. We combined the output of the six adaptive filters into a single enhanced time-frequency domain signal based on which we track the heart rate with a high accuracy. Our approach is real-time capable, computationally efficient and real data results for a benchmark data set illustrate the superior performance compared to a recently proposed approach. |
| Freie Schlagworte: | Photoplethysmography (PPG); Heart Rate Monitoring; Adaptive Filters; Accelerometer; Time-Frequency; Noise Reduction; Motion Artifacts |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Robust Data Science 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Signalverarbeitung |
| Hinterlegungsdatum: | 23 Feb 2015 12:12 |
| Letzte Änderung: | 02 Feb 2023 09:52 |
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