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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Monitoring System for Evaluation of Operator Functional Status on Sea Ships
1 Klaipeda University, Klaipeda, Lithuania
ABSTRACT: This paper introduces the basic concept of a new developed web-based databank for an assessment of seafarers? functional status during the sea missions. The Web system is based on client-server architecture and the international open source technologies including Apache web server, PHP scripts and MySQL database. The paper focuses on the aspects and first results of the initial practical realization of the web-based databank. The main operational advantage of the developed system is the capability to on-line handle up to a dozen users at the same time. The system includes administrative data and questionnaires. Electronic data entry saves the time and material resources.
KEYWORDS: Monitoring System, Sea Ships, Web System, MySQL Database, Database Management System (DBMS) , Development of Modern Technology, Evaluation of Operator Functional Status, Operator Functional Status
REFERENCES
OECD Health Data 2013, http://stats.oecd.org/ index.aspx?DataSetCode=HEALTH_STAT
Varoneckas A., Mackutė-Varoneckienė A., Martinkėnas A., Žilinskas A., Varoneckas G. Web-based tool for management of CAD patients after coronary bypass surgery//Computers in Cardiology 2005: 32nd Annual Conference on Computers in Cardiology, Lyon, September 25-28, 2005. vol. 32, p. 155-158.
Varoneckas G., Martinkenas A., Podlipskytė A., Varoneckas A., Žilinskas A. A web-based data bank of heart rate and stroke volume recordings during sleep // E-Health: proceedings of Med-e-Tel 2006: the international trade event and conference for eHealth, telemedicine and health ICT: April 5-7, 2006. p. 371-375.
dbForge Studio for MySQL// https://www.devart.com/dbforge/mysql/studio/
Zigmond A.S., Snaith R.P. The Hospital anxiety and depression scale. Acta Psychiatrica Scandinavica 1983, 67: 361-70.
Beck A.T, Steer R.A, Brown G.K. 1996. Beck Depression Inventory. Second Edition manual. San Antonio, TX: The Psychological Corporation.
Varoneckas G. The subjective assessment of sleep by the Pittsburgh Sleep Quality Index (Lith.). Nervų ir psichikos ligos [Nervous and Mental Illness]. 2003, 4 (12), 31-33.
Buysse D.J., Reynolds III C.F., Monk T.H. et al. The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research 1988, 28: 193-213.
Murray W. Johns. A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale. Sleep 1991, 14(6): 540-545.
Jenkinson C., Layte R., Wright L., Coulter A. The U.K. SF-36: an analysis and interpretation manual. A guide to health status measurement with particular reference to the Short Form 36 health survey. University of Oxford. - 1996. 65 p.
Puzaras, P., Ančerytė, D., Martinkėnas, A., Varoneckas, G. Catholic faith and life quality (Lith). Sveikatos mokslai. – 2000, 2: 28-35.
Stankus A. Multidimensional Fatigue Inventory (Lith). Biologinė psichiatrija ir psichofarmakologija [Psychopharmacology and Biological Psychiatry]2007, 9 (2): 86-87.
Tiesinga L.J, Dassen T.W.N, Halfens R.J.G. et al. 1997. Measuring fatigue with the Dutch Fatigue Scale (DUFS) and measuring exertion fatigue with the Dutch Exertion Fatigue Scale (DEFS): Manual. University of Groningen: Department of Health Sciences.
Bringsén Å, Andersson HI, Ejlertsson G. Development and quality analysis of the Salutogenic Health Indicator Scale (SHIS). Scand J Publ Health 2009, 37: 13-9.
Nilsson P, Bringsén Å, Andersson HI, Ejlertsson G. Development and Quality analysis of the Work Experience Measurement Scale (WEMS). WORK 2010, 35: 153-161.
Björkqvist, Österman, 1992. Work Harassment Scale. Vaasa, Finland: Department of Psychology, Abo Akademi University.
M Malik, A.J. Camm, Heart rate variability. Clinical Cardiology, 13 (1990), pp. 570–576
Pincus S. Approximate entropy as a measure of system complexity, Proc. Nat. Acad. Sci. USA, 88, (1991), 2297-2301.
Chen Z, et all. Effects of nonlinearities on detrended fluctuation analyzis, Phys. Rev. E, 65, (2002), p. 1-15.
Goldberger AL, et all. Fractal dynamics in physiology: alterations with disease and aging. Proceedings of National Academy of Sciences, v.99, (2002), 2466-2472
Citation note:
Varoneckas G., Martinkenas A., Andruškienė J., Stankus A., Mazrimaite L., Livens A.: Monitoring System for Evaluation of Operator Functional Status on Sea Ships. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 10, No. 2, doi:10.12716/1001.10.02.13, pp. 309-314, 2016
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