TY - GEN
T1 - Improved respiration rate estimation using a Kalman filter and wavelet cross-coherence
AU - Johnson, Alistair E.W.
AU - Cholleti, Sharath R.
AU - Buchman, Timothy G.
AU - Clifford, Gari D.
PY - 2013
Y1 - 2013
N2 - Introduction: Respiration rate is a common measurement in the intensive care unit (ICU) which is well correlated with patient severity. However, automated estimation of the respiration rate, especially when the patient is not intubated, is prone to large errors. Here we present a method of merging respiration estimates from the electrocardiogram (ECG) merged based on a novel signal quality index.
AB - Introduction: Respiration rate is a common measurement in the intensive care unit (ICU) which is well correlated with patient severity. However, automated estimation of the respiration rate, especially when the patient is not intubated, is prone to large errors. Here we present a method of merging respiration estimates from the electrocardiogram (ECG) merged based on a novel signal quality index.
UR - http://www.scopus.com/inward/record.url?scp=84894174273&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84894174273
SN - 9781479908844
T3 - Computing in Cardiology
SP - 791
EP - 794
BT - Computing in Cardiology 2013, CinC 2013
T2 - 2013 40th Computing in Cardiology Conference, CinC 2013
Y2 - 22 September 2013 through 25 September 2013
ER -