Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment
Gait training in a virtual reality (VR) environment is promising for children affected by different disorders. However, the efficacy of VR therapy is still under debate, and more research is needed to clarify its effects on clinical conditions. The combination of VR with neuroimaging methods, such a...
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2021
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oai:doaj.org-article:0f2241994cf5431b9a67e10ed55a1c442021-11-25T17:25:10ZDevelopment and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment10.3390/electronics102228382079-9292https://doaj.org/article/0f2241994cf5431b9a67e10ed55a1c442021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2838https://doaj.org/toc/2079-9292Gait training in a virtual reality (VR) environment is promising for children affected by different disorders. However, the efficacy of VR therapy is still under debate, and more research is needed to clarify its effects on clinical conditions. The combination of VR with neuroimaging methods, such as the electroencephalography (EEG), might help in answering this need. The aim of the present work was to set up and test a system for the multimodal analysis of the gait pattern during VR gait training of pediatric populations by analyzing the EEG correlates as well as the kinematic and kinetic parameters of the gait. An EEG system was integrated with the Gait Real-time Analysis Interactive Lab (GRAIL). We developed and validated, with healthy adults (n = 5) and children (n = 4, healthy or affected by cerebral palsy (CP)), the hardware and software integration of the two systems, which allowed the synchronization of the acquired signals and a reliable identification of the initial contact (IC) of each gait cycle, showing good sensitivity and critical success index values. Moreover, we tested the multimodal acquisition by successfully analyzing EEG data and kinematic and kinetic parameters of one healthy child and one child with CP. This system gives the possibility of monitoring the effect of the VR therapy and studying the neural correlates of gait.Caterina PiazzaIleana PirovanoAlfonso MastropietroChiara GenovaChiara GagliardiAnna Carla TurconiGiorgia MalerbaDaniele PanzeriCristina MaghiniGianluigi ReniGiovanna RizzoEmilia BiffiMDPI AGarticlevirtual realitygait rehabilitationgait analysisEEGmultimodal acquisitionElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2838, p 2838 (2021) |
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virtual reality gait rehabilitation gait analysis EEG multimodal acquisition Electronics TK7800-8360 |
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virtual reality gait rehabilitation gait analysis EEG multimodal acquisition Electronics TK7800-8360 Caterina Piazza Ileana Pirovano Alfonso Mastropietro Chiara Genova Chiara Gagliardi Anna Carla Turconi Giorgia Malerba Daniele Panzeri Cristina Maghini Gianluigi Reni Giovanna Rizzo Emilia Biffi Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment |
description |
Gait training in a virtual reality (VR) environment is promising for children affected by different disorders. However, the efficacy of VR therapy is still under debate, and more research is needed to clarify its effects on clinical conditions. The combination of VR with neuroimaging methods, such as the electroencephalography (EEG), might help in answering this need. The aim of the present work was to set up and test a system for the multimodal analysis of the gait pattern during VR gait training of pediatric populations by analyzing the EEG correlates as well as the kinematic and kinetic parameters of the gait. An EEG system was integrated with the Gait Real-time Analysis Interactive Lab (GRAIL). We developed and validated, with healthy adults (n = 5) and children (n = 4, healthy or affected by cerebral palsy (CP)), the hardware and software integration of the two systems, which allowed the synchronization of the acquired signals and a reliable identification of the initial contact (IC) of each gait cycle, showing good sensitivity and critical success index values. Moreover, we tested the multimodal acquisition by successfully analyzing EEG data and kinematic and kinetic parameters of one healthy child and one child with CP. This system gives the possibility of monitoring the effect of the VR therapy and studying the neural correlates of gait. |
format |
article |
author |
Caterina Piazza Ileana Pirovano Alfonso Mastropietro Chiara Genova Chiara Gagliardi Anna Carla Turconi Giorgia Malerba Daniele Panzeri Cristina Maghini Gianluigi Reni Giovanna Rizzo Emilia Biffi |
author_facet |
Caterina Piazza Ileana Pirovano Alfonso Mastropietro Chiara Genova Chiara Gagliardi Anna Carla Turconi Giorgia Malerba Daniele Panzeri Cristina Maghini Gianluigi Reni Giovanna Rizzo Emilia Biffi |
author_sort |
Caterina Piazza |
title |
Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment |
title_short |
Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment |
title_full |
Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment |
title_fullStr |
Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment |
title_full_unstemmed |
Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment |
title_sort |
development and preliminary testing of a system for the multimodal analysis of gait training in a virtual reality environment |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/0f2241994cf5431b9a67e10ed55a1c44 |
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