Deakin University
Browse

File(s) under embargo

Modified Recurrence Quantification Analysis for Objective Assessment of Cerebellar Ataxia

conference contribution
posted on 2024-01-08, 04:51 authored by THANG NGOTHANG NGO, Lahiru Laminda Abeysekara, Pubudu PathiranaPubudu Pathirana, LA Corben, MB Delatycki, M Horne, DJ Szmulewicz, M Roberts, SC Milne
Cerebellar Ataxia (CA) is a neurological condition that affects coordination, balance and speech. Assessing its severity is important for developing effective treatment and rehabilitation plans. Traditional assessment methods involve a clinician instructing a person with ataxia to perform tests and assigning a severity score based on their performance. However, this approach is subjective as it relies on the clinician's experience, and can vary between clinicians. To address this subjectivity, some researchers have developed automated assessment methods using signal processing and data-driven approaches, such as supervised machine learning. These methods still rely on subjective ground truth and can perform poorly in real-world scenarios. This research proposed an alternative approach that uses signal processing to modify recurrence plots and compare the severity of ataxia in a person with CA to a control cohort. The highest correlation score obtained was 0.782 on the back sensor with the feet-apart and eyes-open test. The contributions of the research include modifying the recurrence plot as a measurement tool for assessing CA severity, proposing a new approach to assess severity by comparing kinematic data between people with CA and a control reference group, and identifying the best subtest and sensor position for practical use in CA assessments.

History

Volume

2023

Pagination

1-4

Location

United States

Start date

2023-07-24

End date

2023-07-27

ISSN

2375-7477

eISSN

2694-0604

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Event

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Usage metrics

    Research Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC