Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry
Estimation of respiratory rate (RR) from photoplethysmography (PPG) signals has important applications in the healthcare sector, from assisting doctors onwards to monitoring patients in their own homes. The problem is still very challenging, particularly during the motion for large segments of data,...
| Main Authors: | , , , , , |
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| 格式: | Journal article |
| 出版: |
Institution of Engineering and Technology
2018
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