| Zugriffsnummer | 44740 |
| Dokumenttyp | Konferenzartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Ejection wave segmentation for contact-free heart rate estimation from ballistocardiographic signals |
| Autor(in); Institution |
Proll, S.; Institute of Biomedical Image Analysis, Private University for Health Sciences Medical Informatics and Technology, Hall in Tirol, AUSTRIA
Hofbauer, S.; Department of Anaesthesia and Intensive Care Medicine Medical University Innsbruck (MUI) Innsbruck, AUSTRIA
Kolbitsch, Christoph; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Schubert, R.; Institute of Biomedical Image Analysis, Private University for Health Sciences Medical Informatics and Technology, Hall in Tirol, AUSTRIA
Fritscher, K.; Institute of Biomedical Image Analysis, Private University for Health Sciences Medical Informatics and Technology, Hall in Tirol, AUSTRIA
|
| Quelle/Jahr | 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC):(2019), 3571 - 3576 |
| ISBN | 978-1-5386-1312-2 (print) ; 978-1-5386-1311-5 (online) |
| DOI | |
| Verlag | Piscataway, NJ: IEEE |
| Konferenzangaben | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, 23-27 July 2019, GERMANY |
| Zusammenfassung | We present a new algorithm for peak detection in ballistocardiographic (BCG) signals and use it for heart rate estimation. Systolic complexes of the BCG signal are enhanced and coarse heart beat locations estimated. Ejection waves I, J and K are detected simultaneously around coarse locations, only using detection of local maxima and weighted summation of peak heights. Due to a lack of reference BCG annotations, the algorithm's performance is assessed by using the detected peaks for heart rate estimation. On a dataset acquired with a pneumatic BCG system, we evaluate the heart rate estimation performance and compare the introduced algorithm against other methods found in literature. The dataset is gathered from 42 patients in a clinical environment and provides low-quality signals taken from a realistic scenario. With a mean absolute percentage error of 2.58 % at 65 % coverage, the presented method is on par with the best-performing state-of-the-art algorithms investigated. Limits of agreement (5th/95th percentiles) in a comparison with ECG-based heart rate measurements lie within P5 = -3.63 and P95 = 5.78 beat/min. |
| Themenbereich der Metrologie | Metrologie in der Medizin |
Zitierung
Proll, S., Hofbauer, S., Kolbitsch, C., Schubert, R., & Fritscher, K. (2019). Ejection wave segmentation for contact-free heart rate estimation from ballistocardiographic signals. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, 23-27 July 2019, GERMANY. https://doi.org/10.1109/embc.2019.8857731