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Cranio-caudal kinematic turn signature assessed with inertial systems as a marker of mobility deficits in Parkinson's disease

Karina Lebel, Christian Duval, Hung Phuc Nguyen, Réjean Plamondon and Patrick Boissy

Article (2018)

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Background: Turning is a challenging mobility task requiring proper planning, coordination, and postural stability to be executed efficiently. Turn deficits can impair mobility and lead to falls in patients with neurodegenerative disease, such as Parkinson's disease (PD). It was previously shown that the cranio-caudal sequence involved during a turn (i.e., motion is initiated by the head, followed by the trunk) exhibits a signature that can be captured using an inertial system and analyzed through the Kinematics Theory. The so-called cranio-caudal kinematic turn signature (CCKS) metrics derived from this approach could, therefore, be a promising avenue to develop and track markers to measure early mobility deficits. Objective: The current study aims at exploring the discriminative validity and sensitivity of CCKS metrics extracted during turning tasks performed by patients with PD. Methods: Thirty-one participants (16 asymptomatic older adults (OA): mean age = 69.1 +/- 7.5 years old; 15 OA diagnosed with early PD ON and OFF medication, mean age = 65.8 +/- 8.4 years old) performed repeated timed up-and-go (TUG) tasks while wearing a portable inertial system. CCKS metrics (maximum head to trunk angle reached and commanded amplitudes of the head to trunk neuromuscular system, estimated from a sigma-lognormal model) were extracted from kinematic data recorded during the turn phase of the TUG tasks. For comparison purposes, common metrics used to analyze the quality of a turn using inertial systems were also calculated over the same trials (i.e., the number of steps required to complete the turn and the turn mean and maximum velocities). Results: All CCKS metrics discriminated between OA and patients (p </= 0.041) and were sensitive to change in PD medication state (p </= 0.033). Common metrics were also able to discriminate between OA and patients (p < 0.014), but they were unable to capture the change in medication state this early in the disease (p >/= 0.173). Conclusion: The enhanced sensitivity to change of the proposed CCKS metrics suggests a potential use of these metrics for mobility impairments identification and fluctuation assessment, even in the early stages of the disease.

Uncontrolled Keywords

Ahrs; Parkinson's disease; deficit; inertial measurement unit; inertial motion capture; sigma-lognormal; signature; turn

Subjects: 1900 Biomedical engineering > 1900 Biomedical engineering
2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering
Department: Department of Electrical Engineering
Research Center: Other
Funders: Canadian Institute of Health Research (CIHR) team in Mobility in Aging, Fonds de recherche du Québec—Santé (FRQS), Research Centre on Aging
Grant number: 200907AMG-208147-AML-CFEB-56596
PolyPublie URL: https://publications.polymtl.ca/3567/
Journal Title: Frontiers in Neurology (vol. 9)
Publisher: Frontiers
DOI: 10.3389/fneur.2018.00022
Official URL: https://doi.org/10.3389/fneur.2018.00022
Date Deposited: 27 Mar 2020 08:20
Last Modified: 15 May 2023 21:01
Cite in APA 7: Lebel, K., Duval, C., Nguyen, H. P., Plamondon, R., & Boissy, P. (2018). Cranio-caudal kinematic turn signature assessed with inertial systems as a marker of mobility deficits in Parkinson's disease. Frontiers in Neurology, 9. https://doi.org/10.3389/fneur.2018.00022


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