Browsing by Author "McGregor, Carolyn"
Now showing items 1-20 of 21
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Automated partial premature infant pain profile scoring using big data analytics
Naik, Tanvi (2017-04-01)Lack of valid and reliable pain assessment in the neonatal population has become a significant challenge in the Neonatal Intensive Care Unit (NICU). Current practice in the NICU involves the meticulous, time-consuming and ... -
Automated sleep-wake cycling detection in neonates from cerebral function monitor signals.
Fontana, Nick (2014-12-01)This thesis presents a link between a clinical need involving the analysis of high frequency physiological data and the informatics and technology designed to automate these specific clinical rules. An algorithmic design ... -
A big data and online health analytics framework extended to integrate clinical and countermeasure decision support
Yeung, Jennifer (2022-03-01)Computing frameworks that utilize big data analytics to support Clinical Decision Support Systems (CDSS) have proven to impact human lives in applications on Earth and in space. In the application of Space Medicine Decision ... -
CBPsp: complex business processes for stream processing
Kamaleswaran, Rishikesan (2011-04-01)This thesis presents the framework of a complex business process driven event stream processing system to produce meaningful output with direct implications to the business objectives of an organization. This framework is ... -
Community-oriented architecture for smart cities
Jalali, Roozbeh (2017-12-01)With the widespread use of smartphone devices, a surge in mobile sensing, progress in wireless communication and networking techniques, as well as the development of the Internet of Things (IoT) and cloud computing, ... -
Correlation and real time classification of physiological streams for critical care monitoring.
Thommandram, Anirudh (2013-12-01)This thesis presents a framework for the deployment of algorithms that support the correlation and real-time classification of physiological data streams through the development of clinically meaningful alerts using a blend ... -
Determining optimal flight paths for cellular network connectivity for the transmission of real-time physiological data in support of big data analytics during airborne critical care transport
Greer, Robert (2017-02-01)This thesis presents a methodology for determining the optimal flight paths between two geographical points based on distance and cellular reception over the path. This methodology consists of two main concepts: coverage ... -
A dynamic visual analytics framework for complex temporal environments
Kamaleswaran, Rishikesan (2016-08-01)Introduction: Data streams are produced by sensors that sample an external system at a periodic interval. As the cost of developing sensors continues to fall, an increasing number of data stream acquisition systems have ... -
An evaluation method for the evaluation of big data based streaming analytic clinical decision support systems
Glass, Jonah (2020-04-01)This thesis presents a methodology for evaluating a scalable clinical decision support systems (CDSS) that uses high frequency streaming physiological data using a holistic approach that includes the presence of population ... -
Firefighter resilience assessment using a structured approach
Vyas, Khyati (2019-12-01)This thesis proposes a resilience assessment model to assess the physiological changes experienced during a simulated firefighting environment. Currently, a resilience assessment model that measures the response to job ... -
A flexible, longitudinal and surrogate consent model: Consent of Infants for Neonatal Secondary-use research (CoINS) Model
Choi, Yvonne (2020-04-01)Documenting healthcare, along with technology enabling capture of streaming patient telemetry, can deliver large datasets offering opportunities to discover new insights primarily identified through retrospective secondary ... -
A framework for quality improvement and evaluation of a clinical decision support system in NICU environment in cross-cultural settings.
Huang, Wenlan (2013-11-01)The primary purpose of this quality improvement research is to design a structured study to improve clinical process and outcomes in healthcare. This thesis presents a framework for quality improvement and evaluation of a ... -
HITEQI-A framework to implement health information technology-enabled quality improvement.
Jowitt, Ines (2014-08-01)This thesis proposes a framework known as the Health Information Technology-Enabled Quality Improvement (HITEQI) to provide a structured approach to quality improvement in healthcare where the intervention is through the ... -
An integrated big data framework utilizing stream computing to support real-time clinical decision-making in the field of space medicine
Prysyazhnyuk, Anastasiia (2020-08-01)Space exploration continues to be one of greatest endeavours of humankind. As manned space exploration extends to deep space, destinations such as the Moon and Mars, technological improvements and scientific advancements ... -
Measuring the effects of subclinical neck pain on sensorimotor integration using electroencephalography event related potentials and source localization
Shafiq, Hasan (2017-11-01)Subclinical neck pain (SCNP) is recurrent neck pain that has not yet been treated. This thesis investigated whether acute pain affects motor learning acquisition in SCNP vs. healthy individuals. 10 healthy and 10 SCNP ... -
A method to detect and represent temporal patterns from time series data and its application for analysis of physiological data streams
Inibhunu, Catherine (2020-03-01)In critical care, complex systems 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 ... -
A pre-post study of patient journey modeling as a change management tool to increase clinician acceptance of EHRs.
Joshi, Amardeep (2013-12-01)The purpose of this research was to determine if patient journey process modeling could act as a change management tool to support electronic health record (EHR) adoption, at a tertiary-care mental health centre. This ... -
Retinopathy of prematurity and blood oxygen saturation: confirmation of the relationship with high fidelity data
Fernando, K. Emmanuel Shiron (2017-08-01)The CRoss Industry Standard Process for Temporal Data Mining (CRISP-TDM) that supports physiological stream temporal data mining and CRISP-DM0 that supports null hypothesis driven confirmatory data mining in combination ... -
SDTDMn0 : a multidimensional distributed data mining framework supporting time series data analysis for critical care research
Dhanoa, Agam (2011-04-01)Premature birth is one of the major perinatal health issues across the world. In 2007, the estimated Canadian preterm birth rate was 8.1 % (CIHI, 2009). Recent research has shown that conditions, such as nosocomial infections ... -
STDMn+p0: a multidimensional patient oriented data mining framework for critical care research
Smith, Kathleen Patricia (2011-04-01)In the neonatal intensive care unit (NICU) environment, critical care and treatment directly correlate to the multidimensional development of an infant and are influenced by attributes such as gender and gestational age ...