Big data analytics for enhanced clinical decision support systems during spaceflight

Prysyazhnyuk, Anastasiia; Baevsky, R. M.; Berseneva, Azaliya; Chernikova, Anna G.; Luchitskaya, Еlena; Rusanov, V. V.; McGregor, Carolyn

doi:10.1109/lsc.2017.8268201

Cited by 12 publications

(15 citation statements)

References 8 publications

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“…Beyond traditional health checks, Baevsky proposed the functional state algorithm [12] that analyses discontinuous electrocardiogram segments for Russian cosmonauts and provides an assessment of wellness and adaptation. However, the software created to perform that analysis is located on Earth and the analysis is performed retrospectively post mission [1], [13].…”

Section: Astronaut Healthmentioning

confidence: 99%

“…In recent years the Russian cosmonauts have utilized the Cosmocard ECG Holter monitor style device on the ISS and within various analogue missions within the NEK isolation (Mars 500) facility [13] and their Dry Immersion tanks [15] to collect cosmonaut ECG data.…”

Section: Health Monitoring Within the Spacecraftmentioning

confidence: 99%

“…As noted previously, these devices record data within a data logger while being worn and require uploading of data afterwards. Research using the Cosmocard device for data collection has been completed within the Luna 2015 analogue mission [1], [13] and also dry immersion experiments in 2016 [1], [15]. Testing with the Hexoskin product companion to the Bio-Monitor has been completed with firefighter students [34].…”

Section: Data Collectionmentioning

confidence: 99%

“…Currently data acquisition from the Cosmocard and Bio-Monitor are via data download from the data loggers from each of the devices. In addition to the acquisition of data collected on the ISS, data acquisition from the Cosmocard device has been completed within the Luna 2015 analogue mission [1], [13] and also dry immersion experiments in 2016 [1], [15]. In these cases, data acquisition was performed post experiment.…”

Section: Data Acquisitionmentioning

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: Health Monitoring Within the Spacecraftmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

Section: Data Acquisitionmentioning

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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“…Developed and piloted for neonatal and pediatric intensive care units (NICU and PICU), Artemis is capable of handling high frequency data streaming, processing, persistency, and storage for simultaneous real-time monitoring and retrospective knowledge extraction. High speed physiological data from medical monitors including electrocardiogram (ECG), HR, respiration rate, and blood oxygen saturation (SpO2) have been demonstrated in case studies implemented in NICUs in Canada, the USA, and China [14,15]. Combined with electronic health record data provisioned with clinical proven algorithms, Artemis has been presented to advance diagnostics and prognostics for individualized patient monitoring providing a more holistic approach to real-time precision health care as a space medicine decision support system [17].…”

Section: Introductionmentioning

confidence: 99%

An Individualized Countermeasure Assessment Framework for Astronauts in Space

Yeung

McGregor

2021

2021 IEEE Aerospace Conference (50100)

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Preventive measures and countermeasure exercises play integral roles in maintaining the physiological health, wellbeing, and performance of astronauts in current day four to 11 month space missions to the ISS. While these activities help the body adapt to the adverse effects of spaceflight and minimize risks of physical deconditioning associated with weightlessness, these activities are inadequate for longer trips such as a 2-3 year mission to and from Mars. Furthermore, physical reconditioning and other issues such as visual impairment intracranial pressure (VIIP) syndrome remain for some astronauts returning from space missions. Combined with the effects of isolation and confinement in space, an astronaut's condition and performance can be compromised to a high degree with long-term impacts to their health and wellness upon returning to Earth if the appropriate interventions are not performed at appropriate times. Research has shown that representation of the relevant data to the active user during their activities has been proven effective in allowing them to perform the appropriate intervention to mitigate projected health risks. The physiological data and countermeasure equipment data currently located on the ISS has the potential to be correlated with the respective activities performed per astronaut for an individualized physiological monitoring approach for real-time health assessments. This paper presents a correlation method to enable individualized countermeasure assessments using big data collected during a simulated extreme environment workshop for firefighters as an analog. The online health analytics platform, created by McGregor, known as Artemis demonstrates this method using its capabilities in temporal abstraction for knowledge discovery, mechanisms for early detection of illnesses, and continuous real-time monitoring. TABLE OF CONTENTS 1. INTRODUCTION .

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Space as an Extreme Environment—Galactic Adventures: Exploring the Limits of Human Mind and Body, One Planet at a Time

Prysyazhnyuk

McGregor

2022

Engineering and Medicine in Extreme Environments

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Big data analytics for enhanced clinical decision support systems during spaceflight

Cited by 12 publications

References 8 publications

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

An Individualized Countermeasure Assessment Framework for Astronauts in Space

Space as an Extreme Environment—Galactic Adventures: Exploring the Limits of Human Mind and Body, One Planet at a Time

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