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Showing 1 to 4 of 4 for “"Physiological data streams"”.

  1. A method to detect and represent temporal patterns from time series data and its application for analysis of physiological data streams

    … and sensors continuously monitor patients’ physiological features such as heart rate, respiratory rate thus generating significant amounts of data every second. This results to more than 2 million records generated per patient in an hour. It’s an immense challenge for anyone trying to …

    uoit Repository record for A method to detect and represent temporal patterns from time series data and its application for analysis of physiological data streams (opens in a new tab)

  2. Correlation and real time classification of physiological streams for critical care monitoring.

    … the correlation and real-time classification of physiological data streams through the development of clinically meaningful alerts using a blend of expert knowledge in the domain and pattern recognition programming based on clinical rules. Its relevance is demonstrated via a real world case study …

    uoit Repository record for Correlation and real time classification of physiological streams for critical care monitoring. (opens in a new tab)

  3. Automated sleep-wake cycling detection in neonates from cerebral function monitor signals.

    … need involving the analysis of high frequency physiological data and the informatics and technology designed to automate these specific clinical rules. An algorithmic design for the automated detection of sleep-wake cycling patterns in neonates aged 29-44 weeks gestational age via cerebral …

    uoit Repository record for Automated sleep-wake cycling detection in neonates from cerebral function monitor signals. (opens in a new tab)

  4. Automated partial premature infant pain profile scoring using big data analytics

    … partial pain score for newborn infants using big data analytics that automates the analysis of high speed physiological data. The design of the novel Artemis Premature Infant Pain Profile (APIPP) is proposed in this thesis. An ethically approved retrospective clinical research study was performed …

    uoit Repository record for Automated partial premature infant pain profile scoring using big data analytics (opens in a new tab)