APPLICATION OF MACHINE LEARNING METHODS IN GAIT ANALYSIS OF PATIENTS SUFFERING FROM NEURODEGENERATE DISEASES
DOI:
https://doi.org/10.24867/28RB01SekulicKeywords:
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
[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
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Published
2024-10-09
Issue
Section
Biomedical Engineering