A Data Analysis platform for high altitude bio monitoring using DEVOPS principles and time series machine learning

Felix Constantin Adochiei, Radu Ciucu, Ioana Raluca Adochiei, Florin Ciprian Argatu, CiprianMarius Larco and Miron Casian
Additional contact information
Felix Constantin Adochiei: Faculty of Electrical Engineering, University Politehnica of Bucharest, Bucharest, Romania
Radu Ciucu: Faculty of Electrical Engineering, University Politehnica of Bucharest, Bucharest, Romania
Ioana Raluca Adochiei: Department of Aircraft Integrated Systems and Mechanics, Military Technical Academy “Ferdinand I” Bucharest, Bucharest, Romania
Florin Ciprian Argatu: Faculty of Electrical Engineering, University Politehnica of Bucharest, Bucharest, Romania
CiprianMarius Larco: Department of Aircraft Integrated Systems and Mechanics, Military Technical Academy “Ferdinand I” Bucharest, Bucharest, Romania
Miron Casian: Faculty of Automatic Control and Computer Engineering,"Gheorghe Asachi” Technical University of Iasi, Ias?i, Romania

Journal of Advances in Technology and Engineering Research, 2019, vol. 5, issue 1, 18-24

Abstract: In this paper we propose a software platform for correlating real-time physiological data using microservices and time series analysis with machine learning. We use a devops type architecture with multiple containers governing specific aspects of our platform. In order to run the analytics and correlation protocol several microservices had been designed to orchestrate and process multiple data streams in real time. The data ingested by our platform is provided in an intuitive data visualization interface that binds together digital elevation models and geospatial data with the blood oxygen saturation and heart rate of a subject. The platform provides an accurate representation of a subjects physical performance in high altitude/low oxygen environments.

Keywords: Magnetic ResonanceImaging (MRI); Digital Video Recorder (DVR); Devops; Biomonitoring; Long-short term memory (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://tafpublications.com/platform/Articles/full-jater5.1.2.php (application/pdf)
https://tafpublications.com/gip_content/paper/Jater-5.1.2.pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:apb:jaterr:2019:p:18-24

DOI: 10.20474/jater-5.1.2

Access Statistics for this article

Journal of Advances in Technology and Engineering Research is currently edited by A/Professor Akbar A. Khatibi

More articles in Journal of Advances in Technology and Engineering Research from A/Professor Akbar A. Khatibi Calle Alarcon 66, Sant Adrian De Besos 08930, Barcelona Spain.
Bibliographic data for series maintained by A/Professor Akbar A. Khatibi ().