Gait-Based Diplegia Classification Using LSMT Networks
Joint Authors
Ferrari, Alberto
Bergamini, Luca
Guerzoni, Giorgio
Calderara, Simone
Bicocchi, Nicola
Borghi, Corrado
Neviani, Rita
Ferrari, Adriano
Vitetta, Giorgio M.
Source
Journal of Healthcare Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-17
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Diplegia is a specific subcategory of the wide spectrum of motion disorders gathered under the name of cerebral palsy.
Recent works proposed to use gait analysis for diplegia classification paving the way for automated analysis.
A clinically established gait-based classification system divides diplegic patients into 4 main forms, each one associated with a peculiar walking pattern.
In this work, we apply two different deep learning techniques, namely, multilayer perceptron and recurrent neural networks, to automatically classify children into the 4 clinical forms.
For the analysis, we used a dataset comprising gait data of 174 patients collected by means of an optoelectronic system.
The measurements describing walking patterns have been processed to extract 27 angular parameters and then used to train both kinds of neural networks.
Classification results are comparable with those provided by experts in 3 out of 4 forms.
American Psychological Association (APA)
Ferrari, Alberto& Bergamini, Luca& Guerzoni, Giorgio& Calderara, Simone& Bicocchi, Nicola& Vitetta, Giorgio M.…[et al.]. 2019. Gait-Based Diplegia Classification Using LSMT Networks. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1175135
Modern Language Association (MLA)
Ferrari, Alberto…[et al.]. Gait-Based Diplegia Classification Using LSMT Networks. Journal of Healthcare Engineering No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1175135
American Medical Association (AMA)
Ferrari, Alberto& Bergamini, Luca& Guerzoni, Giorgio& Calderara, Simone& Bicocchi, Nicola& Vitetta, Giorgio M.…[et al.]. Gait-Based Diplegia Classification Using LSMT Networks. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1175135
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175135