Literature DB >> 21096523

Towards natural non-invasive hand neuroprostheses for daily living.

Michele Tavella1, Robert Leeb, Rudiger Rupp, Jose Del R Millan.   

Abstract

In this paper we show how healthy subjects can operate a non-invasive asynchronous BCI for controlling a FES neuroprosthesis and manipulate objects to carry out daily tasks in ecological conditions. Both, experienced and novel subjects proved to be able to deliver mental commands with high accuracy and speed. Our neuroprosthetic approach relies on a natural interaction paradigm, where subjects delivers congruent MI commands (i.e., they imagining a movement of the same hand they control through FES). Furthermore, we have tested our approach in a common daily task such as handwriting, which requires the user to split his/her attention to multitask between BCI control, reaching, and the primary handwriting task itself. Interestingly, the very low number of erroneous trials illustrates how during the experiments subjects were able to deliver commands just when they intended to do so. Similarly, the subjects could perform actions while delivering, or preparing to deliver, mental commands.

Mesh:

Year:  2010        PMID: 21096523     DOI: 10.1109/IEMBS.2010.5627178

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  5 in total

1.  Automatic feature selection of motor imagery EEG signals using differential evolution and learning automata.

Authors:  Saugat Bhattacharyya; Abhronil Sengupta; Tathagatha Chakraborti; Amit Konar; D N Tibarewala
Journal:  Med Biol Eng Comput       Date:  2013-10-29       Impact factor: 2.602

2.  Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.

Authors:  J D R Millán; R Rupp; G R Müller-Putz; R Murray-Smith; C Giugliemma; M Tangermann; C Vidaurre; F Cincotti; A Kübler; R Leeb; C Neuper; K-R Müller; D Mattia
Journal:  Front Neurosci       Date:  2010-09-07       Impact factor: 4.677

3.  An open-source and cross-platform framework for Brain Computer Interface-guided robotic arm control.

Authors:  Pieter L Kubben; Nader Pouratian
Journal:  Surg Neurol Int       Date:  2012-12-14

4.  Quaternion-Based Signal Analysis for Motor Imagery Classification from Electroencephalographic Signals.

Authors:  Patricia Batres-Mendoza; Carlos R Montoro-Sanjose; Erick I Guerra-Hernandez; Dora L Almanza-Ojeda; Horacio Rostro-Gonzalez; Rene J Romero-Troncoso; Mario A Ibarra-Manzano
Journal:  Sensors (Basel)       Date:  2016-03-05       Impact factor: 3.576

5.  The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users.

Authors:  Serafeim Perdikis; Luca Tonin; Sareh Saeedi; Christoph Schneider; José Del R Millán
Journal:  PLoS Biol       Date:  2018-05-10       Impact factor: 8.029

  5 in total

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