APPLICATION OF MACHINE LEARNING METHODS IN GAIT ANALYSIS OF PATIENTS SUFFERING FROM NEURODEGENERATE DISEASES

Authors

  • Svetlana Sekulić Autor

DOI:

https://doi.org/10.24867/28RB01Sekulic

Keywords:

Phases of gait, feature selection, classification.

Abstract

The paper discribes the application of machine learning in the analysis of gait in neurodegenerative diseases. The goal is to consider the possibility of using machine learning methods to create a classifier that can recognize neurodegenerative diseases in patient based on the recording of gait characteritics.

References

[1] Vladimir Crnojević, “Prepoznavanje oblika”, Fakultet tehničkih nauka, Novi Sad, 2014.
[2] Grazia Circirelli, Donato Impedovo, Vincenzo Dentamaro, Roberto Marani, “Human Gait Analysis in Neorodegenerative Diseases”, Biomed health, 2022.
[3] http://automatika.ftn.uns.ac.rs/images/predmeti/Virtuelni%20Senzori/Predavanja/support%20vector%20machine.pdf
[4] https://www.bbc.com/serbian/lat/srbija-55063175

Published

2024-10-09