TY - GEN
T1 - Using physiological signals to predict apnea in preterm infants
AU - Williamson, J. R.
AU - Bliss, D. W.
AU - Browne, D. W.
AU - Indic, P.
AU - Bloch-Salisbury, E.
AU - Paydarfar, D.
PY - 2011
Y1 - 2011
N2 - Apnea of prematurity, a common developmental disorder in preterm infants, is implicated in long-term neurodevelopmental deficits. Preventative clinical interventions, such as mechanosensory stimulation, would benefit from predictive knowledge of when the patient is at high risk for apnea. In this study, the predictive utility of features derived from breathing rate and heart rate is explored. Specifically, the multiscale correlation structure of interbreath intervals and heartbeat intervals is used to train a patient-specific apnea prediction algorithm. The algorithm's prediction results are significantly better than chance for three of the six patients it is evaluated on. These preliminary studies suggest that features of cardiopulmonary signals can anticipate the occurrence of clinically significant apneas in preterm infants.
AB - Apnea of prematurity, a common developmental disorder in preterm infants, is implicated in long-term neurodevelopmental deficits. Preventative clinical interventions, such as mechanosensory stimulation, would benefit from predictive knowledge of when the patient is at high risk for apnea. In this study, the predictive utility of features derived from breathing rate and heart rate is explored. Specifically, the multiscale correlation structure of interbreath intervals and heartbeat intervals is used to train a patient-specific apnea prediction algorithm. The algorithm's prediction results are significantly better than chance for three of the six patients it is evaluated on. These preliminary studies suggest that features of cardiopulmonary signals can anticipate the occurrence of clinically significant apneas in preterm infants.
UR - http://www.scopus.com/inward/record.url?scp=84861313689&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861313689&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2011.6190183
DO - 10.1109/ACSSC.2011.6190183
M3 - Conference contribution
AN - SCOPUS:84861313689
SN - 9781467303231
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1098
EP - 1102
BT - Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
T2 - 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Y2 - 6 November 2011 through 9 November 2011
ER -