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A comparative severity assessment of impaired balance due to Cerebellar Ataxia using regression models
conference contributionposted on 2020-08-27, 00:00 authored by Tran Duc Ngo, Lahiru Laminda AbeysekaraLahiru Laminda Abeysekara, Pubudu PathiranaPubudu Pathirana, M Horne, L Power, D J Szmulewicz
Cerebellar ataxia (CA) refers to the impaired balance and coordination resulting from injury or degeneration of the cerebellum. Testing balance is one of the simplest means of assessing CA. This study compares instrumented assessment and clinical assessment scales of the balance test called Romberg’s test. Inertial Measurement Unit (IMU) data were collected from a sensor attached to their chest of 53 subjects while they performed the test. The corresponding clinical scores were also tabulated. Using this data, 99 features were extracted to quantify acceleration, tremor and displacement of body sway. These features were filtered to identify the subset that better characterize the distinctive behavior of CA subjects. Elastic Net Regression model resulted a greater agreement (0.70 Pearson coefficient) with the clinical SARA scores. The overall results indicated that data from a single IMU sensor is sufficient to accurately assess balance in CA. The significance of this study is that evaluation of balance using Recurrence Quantification Analysis produces a comprehensive framework for the assessment of CA.
EventIEEE EMBC Engineering in Medicine & Biology Society. Annual International Conference (42nd : 2020 : Montreal, Quebec)
Pagination4571 - 4574
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
LocationOnline : Montreal, Quebec
Place of publicationPiscataway, N.J.
Publication classificationE1 Full written paper - refereed
Copyright notice2020, IEEE
Title of proceedingsEMBC : Proceedings of the 42nd Annual IEEE International Conference of the Engineering in Medicine and Biology Society, EMBS
CategoriesNo categories selected