Big Data in Critical Care Using Artemis

McGregor, Carolyn

doi:10.1201/9781351061223-26

Cited by 10 publications

(10 citation statements)

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“…Astronauts are observed during a space mission discontinuously through periodic health checks, examinations and checklists [10]. However, high frequency physiological monitoring performed in terrestrial intensive care populations is demonstrating that new previously unknown pathophysiologies are evident in high speed physiological data monitored continuously [3], [11]. In 3 addition, emergency situations can arise and would benefit from continuous physiological monitoring [10].…”

Section: Astronaut Healthmentioning

confidence: 99%

“…In that initial deployment, the Artemis Platform was located on computing equipment within the hospital. It has been and continues to be demonstrated within the context of its use in neonatal intensive care units (NICUs) that provide care for premature and ill term infants [2], [3], [7].…”

Section: Online Health Analytics During Spaceflightmentioning

confidence: 99%

“…IBM Infosphere Streams will be used to enable real-time stream computing based creation of new derived data from groupings of raw data and derived data within the Data Analytics component as has been demonstrated within the Artemis Cloud and Athena Cloud platforms [3], [6], [35]. This will support both real-time monitoring and alerting as well as clinical decision support.…”

Section: Data Analyticsmentioning

confidence: 99%

“…McGregor has previously proposed the Artemis platform as an artificial intelligence Big Data based clinical decision support system platform to monitor preterm infants [2], [3].…”

Section: Introductionmentioning

confidence: 99%

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A Platform for Real-Time Space Health Analytics as a Service Utilizing Space Data Relays

McGregor

2021

2021 IEEE Aerospace Conference (50100)

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The health, wellness and adaptation response of astronauts during spaceflight is a key component for the success of any manned mission. Physiological and psychological responses of astronauts during spaceflight have been monitored from the first manned missions sixty years ago. However, limited communication networks to and within the spacecraft have limited methods to monitor the health, wellness and adaptation response of astronauts in real-time. This has resulted in a paradigm of astronaut monitoring as discontinuous samplings of physiological data that are captured on board the spacecraft and transported to Earth on storage devices for retrospective down sampled analysis. In 2009, as part of prior research, McGregor proposed a big data analytics framework and platform, that enables the capture and processing of physiological data and other clinical data in real-time for new approaches to real-time health monitoring. The platform, was named the Artemis platform after the Greek goddess of childbearing as the first domain it was used was neonatal intensive care. Its efficacy and reliability as a new approach for real-time health monitoring has been demonstrated in the critical care domain and specifically within the domain of neonatal intensive care. McGregor previously proposed the application of Artemis as an approach for autonomous health monitoring within the spacecraft to support missions within and beyond low Earth orbit. This would enable sophisticated realtime health, wellness and adaptation assessment that did not require the transmission of data beyond the spacecraft. Artemis Cloud has been proposed as a cloud-based approach to provide remote health monitoring. Artemis Cloud enables Health Analytics as a Service and has been demonstrated utilizing the Ontario Research and Innovation Optical Network (ORION) in Ontario and Artemis Cloud instances located at the Compute Ontario advanced research computing node within the Centre for Advanced Computing, Queen's University, Ontario providing remote health monitoring of neonatal intensive care patients at two hospitals in Ontario, Canada.There is great potential for this Health Analytics as a Service model enabled through Artemis Cloud to support the assessment of health, wellness and adaptation response of astronauts in space, however, robust and reliable networks are required. The next stage of space exploration will see unmanned missions using robots that will require prognostics and health management. This will be followed by manned lunar orbiters, Moon bases and Mars missions that will all require the support of health, wellness and adaptation assessment of astronauts engaged in those missions. Deep space hybrid radio frequency and optical networks have great potential to address the current gap in space communication networks. This paper presents a framework and infrastructure to enable real-time equipment monitoring for prognostics and health management and astronaut health monitoring through cloud-based Health Analytics as a Service utilizing space da...

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Section: Astronaut Healthmentioning

confidence: 99%

Section: Online Health Analytics During Spaceflightmentioning

confidence: 99%

Section: Data Analyticsmentioning

confidence: 99%

“…McGregor has previously proposed the Artemis platform as an artificial intelligence Big Data based clinical decision support system platform to monitor preterm infants [2], [3].…”

Section: Introductionmentioning

confidence: 99%

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A Platform for Real-Time Space Health Analytics as a Service Utilizing Space Data Relays

McGregor

2021

2021 IEEE Aerospace Conference (50100)

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“…Algorithms will be tailored to enable support for the general health observation of each initiate. These will incorporate known pathophysiologies evident in physiological data associated with the conditions the initiates are at risk of developing [14].…”

Section: Online Analysis-initiatesmentioning

confidence: 99%

Opportunities for a Cloud Based Health Analytics as a Service for Eastern Cape Initiation Schools in South Africa

McGregor

Majola

2019

2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)

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Traditional male circumcision in the contemporary South Africa has become the focus of the government and media due to the large number of initiates severely injured or dying during the initiation period, which happens twice a year. Deaths and penile amputations are a feature of every circumcision season, as a result of sepsis, gangrene and dehydration amongst other diseases. This paper proposes a Cloud based Health Analytics as a Service for Eastern Cape initiation schools in South Africa to assist in saving lives and preserving the customs. The proposed Artemis platform will assist in acquiring physiological data of initiates before and during initiation to provide early insights of many conditions that can develop during initiation. Big data analytics based on Clinical Decision Support System such as Artemis provides real-time online analytics with knowledge extraction component that supports data mining and enables clinical research of various conditions. Conversely, Artemis has challenges for lower resource settings, which will be explored in this paper.

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Engineering and Information Technology for Paramilitary and Military Tactical Personnel

McGregor

Bonnis

2022

Engineering and Medicine in Extreme Environments

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Big Data in Critical Care Using Artemis

Cited by 10 publications

References 1 publication

A Platform for Real-Time Space Health Analytics as a Service Utilizing Space Data Relays

A Platform for Real-Time Space Health Analytics as a Service Utilizing Space Data Relays

Opportunities for a Cloud Based Health Analytics as a Service for Eastern Cape Initiation Schools in South Africa

Engineering and Information Technology for Paramilitary and Military Tactical Personnel

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