دورية أكاديمية
Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals
| العنوان: | Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals |
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| المؤلفون: | Jonathan Martinez, Kaan Sel, Bobak J. Mortazavi, Roozbeh Jafari |
| المصدر: | IEEE Open Journal of Engineering in Medicine and Biology, Vol 3, Pp 78-85 (2022) |
| بيانات النشر: | IEEE, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Medical technology |
| مصطلحات موضوعية: | Dynamic time warping, fiducial point, photoplethysmography, interbeat intervals, wearable sensors, Computer applications to medicine. Medical informatics, R858-859.7, Medical technology, R855-855.5 |
| الوصف: | Goal: To achieve high-quality comprehensive feature extraction from physiological signals that enables precise physiological parameter estimation despite evolving waveform morphologies. Methods: We propose Boosted-SpringDTW, a probabilistic framework that leverages dynamic time warping (DTW) and minimal domain-specific heuristics to simultaneously segment physiological signals and identify fiducial points that represent cardiac events. An automated dynamic template adapts to evolving waveform morphologies. We validate Boosted-SpringDTW performance with a benchmark PPG dataset whose morphologies include subject- and respiratory-induced variation. Results: Boosted-SpringDTW achieves precision, recall, and F1-scores over 0.96 for identifying fiducial points and mean absolute error values less than 11.41 milliseconds when estimating IBI. Conclusion: Boosted-SpringDTW improves F1-Scores compared to two baseline feature extraction algorithms by 35% on average for fiducial point identification and mean percent difference by 16% on average for IBI estimation. Significance: Precise hemodynamic parameter estimation with wearable devices enables continuous health monitoring throughout a patients’ daily life. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2644-1276 |
| العلاقة: | https://ieeexplore.ieee.org/document/9774024Test/; https://doaj.org/toc/2644-1276Test |
| DOI: | 10.1109/OJEMB.2022.3174806 |
| الوصول الحر: | https://doaj.org/article/f3af6b65df414b6b81f50cb676695da5Test |
| رقم الانضمام: | edsdoj.f3af6b65df414b6b81f50cb676695da5 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 26441276 |
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| DOI: | 10.1109/OJEMB.2022.3174806 |