期刊
ELECTRONICS
卷 10, 期 22, 页码 -出版社
MDPI
DOI: 10.3390/electronics10222838
关键词
virtual reality; gait rehabilitation; gait analysis; EEG; multimodal acquisition
资金
- Italian Ministry of Health (Ricerca Corrente 2020/2021)
- Fondazione Cariplo and Regione Lombardia (EMPATIA@Lecco)
By integrating EEG and GRAIL systems, a successful multimodal analysis system was tested, which can synchronously record acquired signals and reliably identify the initial contact of each gait cycle, tested on healthy children and children with cerebral palsy, showing promising results.
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据