Articolo in rivista, 2021, ENG, 10.3390/electronics10222838
Piazza, Caterina; Pirovano, Ileana; Mastropietro, Alfonso; Genova, Chiara; Gagliardi, Chiara; Turconi, Anna Carla; Malerba, Giorgia; Panzeri, Daniele; Maghini, Cristina; Reni, Gianluigi; Rizzo, Giovanna; Biffi, Emilia
IRCCS Eugenio Medea; Consiglio Nazionale delle Ricerche
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.
Electronics (Basel) 10 (22)
EEG, Gait analysis, Gait rehabilitation, Multimodal acquisition, Virtual reality
Pirovano Ileana, Rizzo Giovanna, Mastropietro Alfonso
ID: 461825
Year: 2021
Type: Articolo in rivista
Creation: 2021-12-30 12:43:49.000
Last update: 2022-01-12 09:07:56.000
CNR institutes
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.3390/electronics10222838
URL: http://www.scopus.com/record/display.url?eid=2-s2.0-85119688515&origin=inward
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:461825
DOI: 10.3390/electronics10222838
Scopus: 2-s2.0-85119688515