Multi-sensor fusion for robust computation of breathing rate
Respiratory information can be obtained from the changes in electrical impedance across the chest, the electrocardiogram or the changes in light absorption across the finger. Running estimates of the breathing rate from each of these can be obtained from independent Kalman filters. A robust estimate...
Main Authors: | Tarassenko, L, Mason, L, Townsend, N |
---|---|
Format: | Journal article |
Language: | English |
Published: |
2002
|
Similar Items
-
Computational mechanism design for multi-sensor information fusion
by: Rogers, A, et al.
Published: (2006) -
Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review
by: Charlton, P, et al.
Published: (2017) -
Inertial and Flexible Resistive Sensor Data Fusion for Wearable Breath Recognition
by: Mehdi Zabihi, et al.
Published: (2024-03-01) -
Multi-frequency sensor for remote measurement of breath and heartbeat
by: M. Jelen, et al.
Published: (2006-01-01) -
A Robust Multi-Sensor Data Fusion Clustering Algorithm Based on Density Peaks
by: Jiande Fan, et al.
Published: (2019-12-01)