Proceedings ArticleDOI
Analysis of frequency bands and channels configuration for detecting intention of change speed through EEG
Vicente Quiles,Laura Ferrero,Eduardo Iáñez,Mario Ortiz,Jose M. Cano,José M. Azorín +5 more
- pp 554-557
Reads0
Chats0
TLDR
In this paper, the authors developed a protocol and analysis method for human decision-making decoding in tasks related to motor activity, which is able to develop a realtime interface for the control of a lower-limb exoskeleton in the future.Abstract:
The combination of rehabilitation technologies and better control systems for the assistive technologies allows us to create brain-machine interfaces for motion control by using exoskeleton devices. In this work, the creation of a protocol and analysis method is developed for human decision-making decoding in tasks related to motor activity. The aims of this research is to be able to develop a real-time interface for the control of a lower-limb exoskeleton in the future. The proposed analysis tries to decode the patterns when subjects have the intention to change their current speed on their own will. 4 subjects performed the experiments obtaining results around 65%.read more
References
More filters
Journal ArticleDOI
Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.
José del R. Millán,Rüdiger Rupp,Gernot Müller-Putz,Rod Murray-Smith,Claudio Giugliemma,Michael Tangermann,Carmen Vidaurre,Febo Cincotti,Andrea Kübler,Robert Leeb,Christa Neuper,Klaus-Robert Müller,Donatella Mattia +12 more
TL;DR: This paper focuses on the prospect of improving the lives of countless disabled individuals through a combination of BCI technology with existing assistive technologies (AT) and identifies four application areas where disabled individuals could greatly benefit from advancements inBCI technology, namely, “Communication and Control”, ‘Motor Substitution’, ”Entertainment” and “Motor Recovery”.
Journal Article
Event-related EEG/MEG synchronization and desynchronization: Basic principles
TL;DR: In this article, an internally or externally paced event results not only in the generation of an ERP but also in a change in the ongoing EEG/MEG in form of an event-related desynchronization (ERD) or eventrelated synchronization (ERS).
Journal ArticleDOI
A convolutional neural network for steady state visual evoked potential classification under ambulatory environment.
TL;DR: A convolutional neural network (CNN) is contributed for the robust classification of a steady-state visual evoked potentials (SSVEPs) paradigm for a brain-controlled exoskeleton under ambulatory conditions in which numerous artifacts may deteriorate decoding.
Proceedings ArticleDOI
High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton
TL;DR: The main focus of this study is to decode a paraplegic subject's motion intentions and provide him with the ability of walking with a lower-body exoskeleton accordingly and present the novel method of decoding with high offline evaluation accuracies and preliminary results from the real-time closed loop implementation (NeuroRex).
Journal ArticleDOI
Brain-machine interfaces for controlling lower-limb powered robotic systems.
Yongtian He,David Eguren,José M. Azorín,José M. Azorín,Robert G. Grossman,Trieu Phat Luu,Jose L. Contreras-Vidal +6 more
TL;DR: It is concluded that lower-body powered exoskeletons with automated gait intention detection based on BMIs open new possibilities in the assistance and rehabilitation fields, although the current performance, clinical benefits and several key challenging issues indicate that additional research and development is required to deploy these systems in the clinic and at home.