Data Fusion for Improved Respiration Rate Estimation
We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the underlying signal quality of respiratory signals is presented and then used to modi...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Pub. Corp/Springer
2011
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| Online Access: | http://hdl.handle.net/1721.1/67021 |