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Assessment Of Cardiorespiratory Interactions During Life Threatening Events In Preterm Infants Using Point Process And Bivariate Algorithms, Mohammed T. Alenazi
Assessment Of Cardiorespiratory Interactions During Life Threatening Events In Preterm Infants Using Point Process And Bivariate Algorithms, Mohammed T. Alenazi
Electrical Engineering Theses
Cardiorespiratory interactions considered as an important indicator of neurodevelopment of preterm infants. The strength of cardiorespiratory interactions are presumed to be weak and rapidly fluctuating. The current signal processing algorithms are insufficient to capture such time varying weak interactions. In addition, detection of these interactions becomes difficult during life threatening events due to lack of information available due to apnea (absence of output from respiratory system) and the transient temporal destabilization of cardiac system due to bradycardia. To detect the cardiorespiratory interactions, a point process algorithm of cardiac system with respiration as covariates is proposed. The bivariate model is embedded …
Assessment Of Risk In Preterm Infants Using Point Process And Machine Learning Approaches, Venkata Naga Sai Apurupa Amperayani
Assessment Of Risk In Preterm Infants Using Point Process And Machine Learning Approaches, Venkata Naga Sai Apurupa Amperayani
Electrical Engineering Theses
Preemies, infants who are born too soon, have a higher incidence of Life-Threatening Events (LTE’s) such as apnea (cessation of breathing), bradycardia (slowing of heart rate) and hypoxemia (oxygen desaturation) also termed as ABD (Apnea, Bradycardia, and Desaturation) events. Clinicians at Neonatal Intensive Care Units (NICU) are facing the demanding task of assessing the risk of infants based on their physiological signals. The aim of this thesis is to develop a risk stratification algorithm using a machine-learning framework with the features related to pathological fluctuations derived from point process model that will be embedded into the current physiological recording system …