Identification of Gait Unbalance and Fallers Among Subjects with Cerebellar Ataxia by a Set of Trunk Acceleration-Derived Indices of Gait
- PMID: 35079958
- DOI: 10.1007/s12311-021-01361-5
Identification of Gait Unbalance and Fallers Among Subjects with Cerebellar Ataxia by a Set of Trunk Acceleration-Derived Indices of Gait
Abstract
This study aimed to assess the ability of 25 gait indices to characterize gait instability and recurrent fallers among persons with primary degenerative cerebellar ataxia (pwCA), regardless of gait speed, and investigate their correlation with clinical and kinematic variables. Trunk acceleration patterns were acquired during the gait of 34 pwCA, and 34 age- and speed-matched healthy subjects (HSmatched) using an inertial measurement unit. We calculated harmonic ratios (HR), percent recurrence, percent determinism, step length coefficient of variation, short-time largest Lyapunov exponent (sLLE), normalized jerk score, log-dimensionless jerk (LDLJ-A), root mean square (RMS), and root mean square ratio of accelerations (RMSR) in each spatial direction for each participant. Unpaired t-tests or Mann-Whitney tests were performed to identify significant differences between the pwCA and HSmatched groups. Receiver operating characteristics were plotted to assess the ability to characterize gait alterations in pwCA and fallers. Optimal cutoff points were identified, and post-test probabilities were calculated. The HRs showed to characterize gait instability and pwCA fallers with high probabilities. They were correlated with disease severity and stance, swing, and double support duration, regardless of gait speed. sLLEs, RMSs, RMSRs, and LDLJ-A were slightly able to characterize the gait of pwCA but failed to characterize fallers.
Keywords: Accelerometry; Cerebellar ataxia; Falls; Gait disorders; Harmonic ratio; Inertial measurement units; Neurologic.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Similar articles
-
Ability of a Set of Trunk Inertial Indexes of Gait to Identify Gait Instability and Recurrent Fallers in Parkinson's Disease.Sensors (Basel). 2021 May 15;21(10):3449. doi: 10.3390/s21103449. Sensors (Basel). 2021. PMID: 34063468 Free PMC article.
-
Local Dynamic Stability of Trunk During Gait is Responsive to Rehabilitation in Subjects with Primary Degenerative Cerebellar Ataxia.Cerebellum. 2024 Aug;23(4):1478-1489. doi: 10.1007/s12311-024-01663-4. Epub 2024 Jan 27. Cerebellum. 2024. PMID: 38279000 Free PMC article.
-
A gait abnormality measure based on root mean square of trunk acceleration.J Neuroeng Rehabil. 2013 Dec 26;10:118. doi: 10.1186/1743-0003-10-118. J Neuroeng Rehabil. 2013. PMID: 24370075 Free PMC article.
-
A systematic review of the gait characteristics associated with Cerebellar Ataxia.Gait Posture. 2018 Feb;60:154-163. doi: 10.1016/j.gaitpost.2017.11.024. Epub 2017 Dec 1. Gait Posture. 2018. PMID: 29220753 Review.
-
Quantitative Gait and Balance Outcomes for Ataxia Trials: Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers.Cerebellum. 2024 Aug;23(4):1566-1592. doi: 10.1007/s12311-023-01625-2. Epub 2023 Nov 13. Cerebellum. 2024. PMID: 37955812 Free PMC article. Review.
Cited by
-
Differences in Trunk Acceleration-Derived Gait Indexes in Stroke Subjects with and without Stroke-Induced Immunosuppression.Sensors (Basel). 2024 Sep 17;24(18):6012. doi: 10.3390/s24186012. Sensors (Basel). 2024. PMID: 39338758 Free PMC article.
-
Kinematic network of joint motion provides insight on gait coordination: An observational study on Parkinson's disease.Heliyon. 2024 Aug 3;10(15):e35751. doi: 10.1016/j.heliyon.2024.e35751. eCollection 2024 Aug 15. Heliyon. 2024. PMID: 39170156 Free PMC article.
-
Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia.Sensors (Basel). 2024 Jun 3;24(11):3613. doi: 10.3390/s24113613. Sensors (Basel). 2024. PMID: 38894404 Free PMC article.
-
The use of digital tools in rare neurological diseases towards a new care model: a narrative review.Neurol Sci. 2024 Oct;45(10):4657-4668. doi: 10.1007/s10072-024-07631-4. Epub 2024 Jun 10. Neurol Sci. 2024. PMID: 38856822 Free PMC article. Review.
-
Dynamic Stability, Symmetry, and Smoothness of Gait in People with Neurological Health Conditions.Sensors (Basel). 2024 Apr 11;24(8):2451. doi: 10.3390/s24082451. Sensors (Basel). 2024. PMID: 38676068 Free PMC article.
References
-
- Serrao M, Pierelli F, Ranavolo A, Draicchio F, Conte C, Don R, et al. Gait pattern in inherited cerebellar ataxias. Cerebellum [Internet]. Cerebellum; 2012 [cited 2021 Mar 23];11:194–211. Available from: https://pubmed.ncbi.nlm.nih.gov/21717229/
-
- Serrao M, Ranavolo A, Casali C. Neurophysiology of gait. Handb Clin Neurol [Internet]. Elsevier B.V.; 2018 [cited 2021 Jun 23]. p. 299–303. Available from: https://pubmed.ncbi.nlm.nih.gov/29903447/
-
- Chini G, Ranavolo A, Draicchio F, Casali C, Conte C, Martino G, et al. Local stability of the trunk in patients with degenerative cerebellar ataxia during walking. Cerebellum 2016 161 [Internet]. Springer; 2016 [cited 2021 Jul 21];16:26–33. Available from: https://link.springer.com/article/10.1007/s12311-016-0760-6
-
- Conte C, Pierelli F, Casali C, Ranavolo A, Draicchio F, Martino G, et al. Upper body kinematics in patients with cerebellar ataxia. Cerebellum. 2014;13:689–97. - DOI
-
- Serrao M, Chini G, Casali C, Conte C, Rinaldi M, Ranavolo A, et al. Progression of gait ataxia in patients with degenerative cerebellar disorders: a 4-year follow-up study. Cerebellum [Internet]. Springer New York LLC; 2017 [cited 2021 Jun 23];16:629–37. Available from: https://pubmed.ncbi.nlm.nih.gov/27924492/
MeSH terms
LinkOut - more resources
Full Text Sources
Medical