Sensor-based gait analysis in atypical parkinsonian disorders
Raccagni C, Gaßner H, Eschlboeck S, Boesch S, Krismer F, Seppi K, Poewe W, Eskofier B, Winkler J, Wenning G, Klucken J (2018)
Publication Type: Journal article
Publication year: 2018
Journal
Book Volume: 8
Journal Issue: 6
DOI: 10.1002/brb3.977
Abstract
BACKGROUND AND OBJECTIVES: Gait impairment and reduced mobility are typical features of idiopathic Parkinson's disease (iPD) and atypical parkinsonian disorders (APD). Quantitative gait assessment may have value in the diagnostic workup of parkinsonian patients and as endpoint in clinical trials. The study aimed to identify quantitative gait parameter differences in iPD and APD patients using sensor-based gait analysis and to correlate gait parameters with clinical rating scales. SUBJECTS AND METHODS: Patients with iPD and APD including Parkinson variant multiple system atrophy and progressive supranuclear palsy matched for age, gender, and Hoehn and Yahr (≤3) were recruited at two Movement Disorder Units and assessed using standardized clinical rating scales (MDS-UPDRS-3, UMSARS, PSP-RS). Gait analysis consisted of inertial sensor units laterally attached to shoes, generating as objective targets spatiotemporal gait parameters from 4 × 10 m walk tests. RESULTS: Objective sensor-based gait analysis showed that gait speed and stride length were markedly reduced in APD compared to iPD patients. Moreover, clinical ratings significantly correlated with gait speed and stride length in APD patients. CONCLUSION: Our findings suggest that patients with APD had more severely impaired gait parameters than iPD patients despite similar disease severity. Instrumented gait analysis provides complementary rater independent, quantitative parameters that can be exploited for clinical trials and care.
Authors with CRIS profile
Heiko Gaßner
Department of Molecular Neurology
Björn Eskofier
Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)
Jürgen Winkler
Professur für Molekulare Neurologie
Jochen Klucken
Department of Molecular Neurology
Additional Organisation(s)
Involved external institutions
Austria (AT)How to cite
APA:
Raccagni, C., Gaßner, H., Eschlboeck, S., Boesch, S., Krismer, F., Seppi, K.,... Klucken, J. (2018). Sensor-based gait analysis in atypical parkinsonian disorders. Brain and Behavior, 8(6). https://dx.doi.org/10.1002/brb3.977
MLA:
Raccagni, Cecilia, et al. "Sensor-based gait analysis in atypical parkinsonian disorders." Brain and Behavior 8.6 (2018).
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