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Quantitative assessment of ataxic gait using inertial sensing at different walking speeds

Version 2 2024-06-06, 07:49
Version 1 2019-11-01, 11:09
conference contribution
posted on 2019-01-01, 00:00 authored by Thi My Dung Phan, Nhan Dang Nguyen, Pubudu PathiranaPubudu Pathirana, Malcolm Horne, Laura Power, David Szmulewicz
In this study, we employed wearable sensor technology to identify the kinematic features that are associated with the gait abnormalities seen in cerebellar ataxia. Measurements were made at self-selected slow, preferred and fast walking speeds with three sensors attached to the participant’s body. Velocity irregularity and resonant frequency characteristics were identified as key features of interest concerning truncal and lower limb movements. Using the principal component analysis, differentiating features of both trunk and lower limb movements were combined to produce an enhanced distinction between the patients and the normal subjects, in addition to obtaining a better correlation with the expert clinician’s assessments. The different speed of walking contributed to separation and correlation with medical severity rating scales such as SARA to varying degrees The results of truncal movement in the medio-lateral plane (at the slow gait speed) and antero-posterior movement (at all 3 gait speeds) provided the effective metrics in the diagnosis and severity rating of ataxic gait of CA patients. Furthermore, from the selected dominant features of the trunk and lower limb, principal component description suggested that overall clinical assessments are predominantly influenced by the lower body peripheral movements particularly at higher walking speeds.

History

Event

IEEE Engineering in Medicine and Biology Society. Conference (41st : 2019 : Berlin, Germany)

Pagination

4600 - 4603

Publisher

IEEE

Location

Berlin, Germany

Place of publication

Piscataway, N.J.

Start date

2019-07-23

End date

2019-07-27

ISSN

1557-170X

eISSN

1558-4615

ISBN-13

9781538613115

Language

eng

Publication classification

E Conference publication; E1 Full written paper - refereed

Copyright notice

2019, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

EMBC 2019 : 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society