File(s) under permanent embargo
Quantitative assessment of ataxic gait using inertial sensing at different walking speeds
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 SzmulewiczIn 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 - 4603Publisher
IEEELocation
Berlin, GermanyPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2019-07-23End date
2019-07-27ISSN
1557-170XeISSN
1558-4615ISBN-13
9781538613115Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2019, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
EMBC 2019 : 41st Annual International Conference of the IEEE Engineering in Medicine and Biology SocietyUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC