Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals
<italic>Goal</italic>: To achieve high-quality comprehensive feature extraction from physiological signals that enables precise physiological parameter estimation despite evolving waveform morphologies. <italic>Methods</italic>: We propose Boosted-SpringDTW, a probabilistic f...
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| Main Authors: | Jonathan Martinez, Kaan Sel, Bobak J. Mortazavi, Roozbeh Jafari |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9774024/ |
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