An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6525-8_7
Reference27 articles.
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3. Camps J, Sama A, Martin M, Rodriguez-Martin D, Perez-Lopez C, Arostegui JMM, Cabestany J, Catala A, Alcaine S, Mestre B et al (2018) Deep learning for freezing of gait detection in Parkinson’s disease patients in their homes using a waist-worn inertial measurement unit. Knowl-Based Syst 139:119–131
4. Chakraborty S, Thomas N, Nandy A (2020) Gait abnormality detection in people with cerebral palsy using an uncertainty-based state-space model. In: International conference on computational science. Springer, pp 536–549
5. Cui C, Bian G-B, Hou Z-G, Zhao J, Su G, Zhou H, Peng L, Wang W (2018) Simultaneous recognition and assessment of post-stroke hemiparetic gait by fusing kinematic, kinetic, and electrophysiological data. IEEE Trans Neural Syst Rehabil Eng 26(4):856–864
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