Using physiological signals to predict apnea in preterm infants

J. R. Williamson, Daniel Bliss, D. W. Browne, P. Indic, E. Bloch-Salisbury, D. Paydarfar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
Pages1098-1102
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States
Duration: Nov 6 2011Nov 9 2011

Other

Other45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
CountryUnited States
CityPacific Grove, CA
Period11/6/1111/9/11

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Williamson, J. R., Bliss, D., Browne, D. W., Indic, P., Bloch-Salisbury, E., & Paydarfar, D. (2011). Using physiological signals to predict apnea in preterm infants. In Conference Record - Asilomar Conference on Signals, Systems and Computers (pp. 1098-1102). [6190183] https://doi.org/10.1109/ACSSC.2011.6190183

Using physiological signals to predict apnea in preterm infants. / Williamson, J. R.; Bliss, Daniel; Browne, D. W.; Indic, P.; Bloch-Salisbury, E.; Paydarfar, D.

Conference Record - Asilomar Conference on Signals, Systems and Computers. 2011. p. 1098-1102 6190183.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Williamson, JR, Bliss, D, Browne, DW, Indic, P, Bloch-Salisbury, E & Paydarfar, D 2011, Using physiological signals to predict apnea in preterm infants. in Conference Record - Asilomar Conference on Signals, Systems and Computers., 6190183, pp. 1098-1102, 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011, Pacific Grove, CA, United States, 11/6/11. https://doi.org/10.1109/ACSSC.2011.6190183
Williamson JR, Bliss D, Browne DW, Indic P, Bloch-Salisbury E, Paydarfar D. Using physiological signals to predict apnea in preterm infants. In Conference Record - Asilomar Conference on Signals, Systems and Computers. 2011. p. 1098-1102. 6190183 https://doi.org/10.1109/ACSSC.2011.6190183
Williamson, J. R. ; Bliss, Daniel ; Browne, D. W. ; Indic, P. ; Bloch-Salisbury, E. ; Paydarfar, D. / Using physiological signals to predict apnea in preterm infants. Conference Record - Asilomar Conference on Signals, Systems and Computers. 2011. pp. 1098-1102
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