Generating Models of Human Gait in Patients with Parkinson's Disease using Genetic Programming
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- @InProceedings{Navikevicius:2024:CIBCB,
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author = "Tristan Navikevicius and Ligia Reis Nobrega and
Sheridan Houghten and Adriano {de Oliveira Andrade} and
Adriano Alves Pereira",
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title = "Generating Models of Human Gait in Patients with
{Parkinson's} Disease using Genetic Programming",
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booktitle = "2024 IEEE Conference on Computational Intelligence in
Bioinformatics and Computational Biology (CIBCB)",
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year = "2024",
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month = aug,
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keywords = "genetic algorithms, genetic programming, Legged
locomotion, Accuracy, Computational modelling,
Biological system modelling, Complexity theory,
Bioinformatics, Computational intelligence, Diseases,
Computational biology",
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ISSN = "2994-9408",
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DOI = "
doi:10.1109/CIBCB58642.2024.10702158",
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abstract = "Parkinson's disease is an extremely debilitating
condition where the brain is not producing enough
dopamine to accurately coordinate movement. One symptom
of Parkinson's disease, freezing of gait, prevents the
affected person from either starting to walk or
continuing walking. We use a dataset that provides
time-series data of volunteers' gait while performing
four different tasks of varying complexity. Symbolic
regression through genetic programming is applied to
the dataset to create models of the gait of volunteers
with and without Parkinson's disease, including those
who may be experiencing freezing of gait, while also
factoring in their medication status (ON or OFF).
Comparing the gait of volunteers in the different
groups, the methodology produced models that were most
accurate for the group of PD patients with freezing of
gait when off their medication applied to other
volunteers in the same group. It was also found that
for some volunteers it was not possible to distinguish
between ON and OFF medication states, providing a
possible indication of issues with their medication.",
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notes = "Also known as \cite{10702158}",
- }
Genetic Programming entries for
Tristan Navikevicius
Ligia Reis Nobrega
Sheridan Houghten
Adriano de Oliveira Andrade
Adriano Alves Pereira
Citations