Artificial Intelligence Methods for Modelling Tremor Mechanisms

Authors

  • Vida Groznik University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies, Koper, Slovenia University of Ljubljana, Faculty of Computer and Information Science, Ljubljana, Slovenia

DOI:

https://doi.org/10.31449/inf.v44i2.3177

Abstract

The paper summarises a Doctoral Thesis in which we focus on two main goals: (1) building models for differentiation between three most common tremors: Parkinsonian, essential and mixed type tremor and (2) development of a novel method for attribute visualisation on series.

References

V. Groznik (2018) Metode umetne inteligence za modeliranje mehanizmov tremorjev: doktorska disertacija. Ljubljana. 139 pages, ilustr.

V. Groznik, M. Guid, A. Sadikov, M. Možina, D. Georgiev, V. Kragelj, S. Ribarič, Z. Pirtošek, and I. Bratko (2013) Elicitation of neurological knowledge with argument-based machine learning. Artificial Intelligence in Medicine, 57:133-144.

doi: 10.1016/j.artmed.2012.08.003

V. Groznik, A. Sadikov, M. Možina, J. Žabkar, D. Georgiev, and I. Bratko (2014) Attribute visualisation for computer-aided diagnosis : a case study. In ICHI 2014: proceedings, 2014 IEEE International Conference on Healthcare Informatics, IEEE Computer Society, Conference Publishing Services, pp. 294-299.

doi: 10.1109/ICHI.2014.47

V. Groznik, M. Možina, J. Žabkar, D. Georgiev, I. Bratko, and A. Sadikov (2015) Development, debugging, and assessment of ParkinsonCheck attributes through visualisation. In A. Briassouli, J. Benois-Pineau,

A. Hauptmann. Health monitoring and personalized feedback using multimedia data, Springer, pp. 47-71.

doi: 10.1007/978-3-319-17963-6_4

M. Guid, M. Možina, V. Groznik, D. Georgiev, A. Sadikov, Z. Pirtošek, and I. Bratko (2012) ABML knowledge refinement loop : a case study. In L. Chen, et al., editors, Foundations of intelligent systems, vol. 7661

of Lecture notes in computer science, Lecture notes in artificial Intelligence, Springer, pp. 41-50.

doi: 10.1007/978-3-642-34624-8_5

A. Sadikov, V. Groznik, J. Žabkar, M. Možina, D. Georgiev, Z. Pirtošek, and I. Bratko (2014) ParkinsonCheck smart phone app.. In T. Schaub, G. Friedrich, B. O'Sullivan, editors, ECAI 2014: proceedings, Frontiers in artificial intelligence and applications (Print), vol. 263, IOS Press, pp. 1213-1214.

doi: 10.3233/978-1-61499-419-0-1213

A. Sadikov, V. Groznik, M. Možina, J. Žabkar, D. Nyholm, M. Memedi, I. Bratko and D. Georgiev (2017) Feasibility of spirography features for objective assessment of motor function in Parkinson’s disease. Artificial intelligence in medicine, vol. 66, pp. 54--62.

doi: 10.1016/j.artmed.2017.03.011

Downloads

Published

2020-06-15

How to Cite

Groznik, V. (2020). Artificial Intelligence Methods for Modelling Tremor Mechanisms. Informatica, 44(2). https://doi.org/10.31449/inf.v44i2.3177

Issue

Vol. 44 No. 2 (2020)

Section

Thesis summary

License

I assign to Informatica, An International Journal of Computing and Informatics ("Journal") the copyright in the manuscript identified above and any additional material (figures, tables, illustrations, software or other information intended for publication) submitted as part of or as a supplement to the manuscript ("Paper") in all forms and media throughout the world, in all languages, for the full term of copyright, effective when and if the article is accepted for publication. This transfer includes the right to reproduce and/or to distribute the Paper to other journals or digital libraries in electronic and online forms and systems.

I understand that I retain the rights to use the pre-prints, off-prints, accepted manuscript and published journal Paper for personal use, scholarly purposes and internal institutional use.

In certain cases, I can ask for retaining the publishing rights of the Paper. The Journal can permit or deny the request for publishing rights, to which I fully agree.

I declare that the submitted Paper is original, has been written by the stated authors and has not been published elsewhere nor is currently being considered for publication by any other journal and will not be submitted for such review while under review by this Journal.  The Paper contains no material that violates proprietary rights of any other person or entity. I have obtained written permission from copyright owners for any excerpts from copyrighted works that are included and have credited the sources in my article. I have informed the co-author(s) of the terms of this publishing agreement.


Copyright ©  Slovenian Society Informatika