• Heart rate variability during periods of low blood pressure as a predictor of short-term outcome in preterms 

  Semenova, Oksana; Carra, Giorgia; Lightbody, Gordon; Boylan, Geraldine; Dempsey, Eugene M.; Temko, Andriy (Institute of Electrical and Electronics Engineers (IEEE), 2018-10-29)

  Efficient management of low blood pressure (BP) in preterm neonates remains challenging with a considerable variability in clinical practice. The ability to assess preterm wellbeing during episodes of low BP will help to ...
• Investigating the impact of CNN depth on neonatal seizure detection performance 

  O'Shea, Alison; Lightbody, Gordon; Boylan, Geraldine; Temko, Andriy (Institute of Electrical and Electronics Engineers (IEEE), 2018-10-29)

  This study presents a novel, deep, fully convolutional architecture which is optimized for the task of EEG-based neonatal seizure detection. Architectures of different depths were designed and tested; varying network depth ...
• System level framework for assessing the accuracy of neonatal EEG acquisition 

  O'Sullivan, Mark; Popovici, Emanuel M.; Bocchino, Andrea; O'Mahony, Conor; Boylan, Geraldine; Temko, Andriy (Institute of Electrical and Electronics Engineers (IEEE), 2018-10-29)

  Significant research has been conducted in recent years to design low-cost alternatives to the current EEG monitoring systems used in healthcare facilities. Testing such systems on a vulnerable population such as newborns ...
• Detecting interference in wireless sensor network received samples: A machine learning approach 

  O'Mahony, George D.; Harris, Philip J.; Murphy, Colin C. (Institute of Electrical and Electronics Engineers, IEEE, 2020-06)

  Wireless Sensor Network (WSN) technology has developed substantially over the past decade or so and now numerous solutions exist across a diverse range of innovative applications. The expanding Internet of Things (IoT) ...
• Identifying distinct features based on received samples for interference detection in wireless sensor network edge devices 

  O'Mahony, George D.; Harris, Philip J.; Murphy, Colin C. (Institute of Electrical and Electronics Engineers, IEEE, 2020-04)

  Wireless Sensor Network (WSN) technologies have developed considerably over the past decade or so and, now, feasible solutions exist for various applications, both critical and otherwise. Often these solutions are achieved ...

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