About
The Project


The aim of the present scientific research is to develop an automated EEG system for the data collection, analysis and interpretation for the supervision of personnel working in the critical infrastructure. The role of this system is to collect and automated analysis of a set of signals, low-frequency alpha and theta spindles and delta wave, in order to determine the current state of fatigue and future fatigue predictions of personnel, translated in level of mental attention and cognitive capacity. Based on machine learning algorithms, the system will be able to pre filter, classify and cluster relevant waves for fatigue interpretation and prediction. The demonstration model will be tested in laboratory on existent databases but also clinical tests will be undertaken, in order to allow the validation of the system compared to the golden standard.

Objectives


  • Provision of a critical review on relevant algorithms and techniques in data collection, pre-classification and clustering for fatigue monitoring and prediction;
  • Provision of state of art model in data analysis and correlation with fatigue monitoring and prediction;
  • Identification and development of the appropriate algorithms and code lines based on artificial intelligence capabilities for automated classification, analysis and reporting
  • Validation of the model in laboratory, clinical applications and dissemination.

The Team

Beneficiary


Iliescu Dan Marcel is an associate professor in anatomy at Faculty of Medicine, Ovidius University of Constanta. He hold a PhD degree in medical sciences from University Ovidius of Constanţa. Since September 1994, Dan is also member of the Romanian Anatomy Society and in June 1999 he founded Romanian Association of Clinical Anatomy. In present he is the Dean of the Faculty of medicine, Ovidius University of Constanta. He will be the project director and will contribute to all project activities in a balanced manner.

Relevant publications: Neuroanatomy, Litografia Universităţii “Ovidius”, Constanta 1994;

Alexandru Bobe is lecturer at Ovidius University of Constanta. He also hold a PhD degree in Mathematics with thesis title „Algorithms in Computational Algebra and Geometry”. Alexandru has over 15 years’ experience in IT, working as an expert/consultant IT, operate variety of software programs including most major authoring systems, word processors, database programs, spreadsheets and graphics packages. He contributed to the writing of many publications like: Bobe, A., Solving Environmental Problems with Mathematica, Proceedings of Mathematical Modelling, Editura Academiei Romane, 2004, 117-126; Bobe, A., Nicola, A., Popa, C., Weaker hypotheses for the general projection algorithm with corrections, An. St. Univ. Ovidius Constanta 23(3), 2015, 9-16, IF: 0,333; He will be Researcher in mathematics and will contribute to all project activities with emphasis on A1 in fundamental research.

Hangan Laurentiu Tony is lecturer at Ovidius University of Constanta, Department Biostatistics and Medical Informatics. He holds a PhD degree in Medical Sciences. He also received a MS degree in Computer Science from Ovidius University of Constanta in 2013 and BS in Computer Science from the same University in 2010. In June 2006 he obtained a diploma in E-learning from International Medical Informatics Associations. In July 2006 he obtained a diploma in Integrating with Telemedicine and Medical Informatics E-learning from NASA. Publications/conferences: Teren O.; Vasile M.; Badiu D.; Hangan T.L. Determination of neurons number involved in maze scroll of learning process, The XXI National Conference of Medicine Faculty, Constanta (Romania), April, 2011; He will be the Researcher and will contribute to A1, 2, 4 and 5 with emphasis on A1 and A2.

Ana Maria Ionescu is the head of neurological department at Railway Clinic Hospital Constanta. She holds MS degree in Medical and Pharmaceutical Institutions Management from Ovidius University of Constanta and a post graduate diploma in Medical Science. Clinical and imagistic correlation for cerebral haemorrhage accidents- dr Radu Baz, dr. Ana Maria Ionescu-Constanta 2004; Neuro-vascular interferences-Acut cerebro-vascular accidents influence in ischemic cerebrovascular accidents evolution.-dr. Silvia Popi, dr. Ana-Maria Ionescu, Neuological National Congress 2004; She will be Researcher in neurology and will contribute to and will contribute to A1, 2, 4 and 5 with balanced contribution in A1, 2, 4.

Partner Team


Catalin Dumitrescu is a UTI researcher and lecturer at Polytechnic University of Bucharest. He also hold a PhD degree in Digital Signal Processing, Polytechnic University of Bucharest, Faculty of Electronics and Telecommunication, dissertation title „Biosignal Analysis – k-complex brain wave detection and classification using TMS320C6211”. Catalin has over 20 years of R&D experience in the defense industry, having held positions in R&D and product management in the Romania. He has a strong experience in Digital Signal Processing with applications in the bio-signal analysis. He will be the project coordinator from the Partner and he will contribute to all the project activities, with a more profound implication in A 1 and 2 where his experience as a researcher will be fully valued.

Lavinia Lazar has an experience of 17 years in analysis. She holds a master degree in Political Science and a bachelor diploma in Cybernetics and Economic Forecasting. Her contribution as a Technical Responsible – Analyst will be directed towards analyzing the functionalities of existent automated EEG models (A1), and further on, to develop a model (A2) and transpose it within a system (A3).

Carmen Copaci has a MS degree in Informatics–Applied Informatics at West University of Timişoara in 1995 and over 15 years in leadership the informatic departments. She has lots of IT certifications as listed in her resume. Publications: Process Mining: Discovering Direct Successors in Process Logs, Use of basic principles and methods for ensuring security, safety and ease of use of computing systems, Artificial Intelligence in company decisions, Learning in small businesse, Process Mining: Discovering Direct Successors in Process Logs. Her contribution as a Technical Responsible –Architect and software developer will focus on research related to automation for EEG detection and classification and algorithms (A1), system design, developing andtesting (A2, A3 and A4).

Cornel Andrei Manole graduated in 2003 Faculty of Cybernetics, Statistics and Economic Informatics and has an experience of 13 years as a computer programmer and lots of certifications. His contribution as a Technical Responsible – Software developer will be directed towards developing algorithms, encoding the algorithms, developing, integrating and testing of the software libraries and system (A2, A3 and A4).

Activities and results

Activity 1


Scientific and technical review

Act 1.1 Critical review on relevant algorithms and techniques in data collection, pre-classification and clustering for fatigue monitoring and prediction

Result: Study on relevant algorithms and techniques in data collection, pre-classification and clustering for fatigue monitoring and prediction

Act 1.2 Develop a state of art model in data analysis and correlation with fatigue monitoring and prediction

Result: Model in data analysis and correlation with fatigue monitoring and prediction

Act 1.3 Critical review on automated cerebral waves detection and analysis of different types of algorithms

Result: Automated cerebral waves detection review and associated algorithms

Activity 2


Automated EEG system specifications and mathematical implementation, Automated EEG system technical implementation and testing, Automated EEG system testing and Dissemination

Act 2.1 Mathematical algorithms identification and organigram

Result: Algorithm description

Act 2.2 System preliminary specifications definition

Result: Technical requirements of the system

Act 2.3 Encoding the Mathematical Algorithms

Result: Source code of the system (DLL Software Applications), simulation test results on algorithms (Test report of the application)

Act 2.4 Individual Testing of the algorithms, integration and validation of the system

Result: Individual test results on algorithms (Test report of the application)

Act 2.5 Testing plan, deployment and data acquisition

Result: Testing plan; Testing report; System evaluation and constraints report

Act 2.6 Validation of the correlation between brain waves and fatigue monitoring and prediction

Result: Report on the correlation between brain waves and fatigue resistance evaluation over operators of critical infrastructure

Act 2.7 Dissemination. Conference participation

Result: Participation in two conferences (1st conference, 2nd conference)

Act 2.8 Dissemination. Conference participation

Result: 2 scientific papers (1st paper, 2nd paper)

Contact us


Contact Info

124 Mamaia
Constanța, România

somn@univ-ovidius.ro

+4 0735 150 657


+4 0722 604 071