Literature DB >> 20822389

Development of speech prostheses: current status and recent advances.

Jonathan S Brumberg1, Frank H Guenther.   

Abstract

Brain-computer interfaces (BCIs) have been developed over the past decade to restore communication to persons with severe paralysis. In the most severe cases of paralysis, known as locked-in syndrome, patients retain cognition and sensation, but are capable of only slight voluntary eye movements. For these patients, no standard communication method is available, although some can use BCIs to communicate by selecting letters or words on a computer. Recent research has sought to improve on existing techniques by using BCIs to create a direct prediction of speech utterances rather than to simply control a spelling device. Such methods are the first steps towards speech prostheses as they are intended to entirely replace the vocal apparatus of paralyzed users. This article outlines many well known methods for restoration of communication by BCI and illustrates the difference between spelling devices and direct speech prediction or speech prosthesis.

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Year:  2010        PMID: 20822389      PMCID: PMC2953242          DOI: 10.1586/erd.10.34

Source DB:  PubMed          Journal:  Expert Rev Med Devices        ISSN: 1743-4440            Impact factor:   3.166


  65 in total

1.  Optimal spatial filtering of single trial EEG during imagined hand movement.

Authors:  H Ramoser; J Müller-Gerking; G Pfurtscheller
Journal:  IEEE Trans Rehabil Eng       Date:  2000-12

2.  Chronic, multisite, multielectrode recordings in macaque monkeys.

Authors:  Miguel A L Nicolelis; Dragan Dimitrov; Jose M Carmena; Roy Crist; Gary Lehew; Jerald D Kralik; Steven P Wise
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-05       Impact factor: 11.205

Review 3.  Locked-in syndrome.

Authors:  Eimear Smith; Mark Delargy
Journal:  BMJ       Date:  2005-02-19

4.  Mortality and complications of the locked-in syndrome.

Authors:  A J Haig; R T Katz; V Sahgal
Journal:  Arch Phys Med Rehabil       Date:  1987-01       Impact factor: 3.966

5.  The Berlin Brain--Computer Interface: accurate performance from first-session in BCI-naïve subjects.

Authors:  Benjamin Blankertz; Florian Losch; Matthias Krauledat; Guido Dornhege; Gabriel Curio; Klaus-Robert Müller
Journal:  IEEE Trans Biomed Eng       Date:  2008-10       Impact factor: 4.538

6.  Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials.

Authors:  L A Farwell; E Donchin
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1988-12

7.  Instant neural control of a movement signal.

Authors:  Mijail D Serruya; Nicholas G Hatsopoulos; Liam Paninski; Matthew R Fellows; John P Donoghue
Journal:  Nature       Date:  2002-03-14       Impact factor: 49.962

8.  Computer control using human intracortical local field potentials.

Authors:  Philip R Kennedy; M Todd Kirby; Melody M Moore; Brandon King; Adon Mallory
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2004-09       Impact factor: 3.802

9.  A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.

Authors:  F Nijboer; E W Sellers; J Mellinger; M A Jordan; T Matuz; A Furdea; S Halder; U Mochty; D J Krusienski; T M Vaughan; J R Wolpaw; N Birbaumer; A Kübler
Journal:  Clin Neurophysiol       Date:  2008-06-20       Impact factor: 3.708

10.  A wireless brain-machine interface for real-time speech synthesis.

Authors:  Frank H Guenther; Jonathan S Brumberg; E Joseph Wright; Alfonso Nieto-Castanon; Jason A Tourville; Mikhail Panko; Robert Law; Steven A Siebert; Jess L Bartels; Dinal S Andreasen; Princewill Ehirim; Hui Mao; Philip R Kennedy
Journal:  PLoS One       Date:  2009-12-09       Impact factor: 3.240

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  7 in total

Review 1.  Brain-Computer Interfaces for Augmentative and Alternative Communication: A Tutorial.

Authors:  Jonathan S Brumberg; Kevin M Pitt; Alana Mantie-Kozlowski; Jeremy D Burnison
Journal:  Am J Speech Lang Pathol       Date:  2018-02-06       Impact factor: 2.408

2.  Brain-machine interfaces for real-time speech synthesis.

Authors:  Frank H Guenther; Jonathan S Brumberg
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

3.  Examining sensory ability, feature matching and assessment-based adaptation for a brain-computer interface using the steady-state visually evoked potential.

Authors:  Jonathan S Brumberg; Anh Nguyen; Kevin M Pitt; Sean D Lorenz
Journal:  Disabil Rehabil Assist Technol       Date:  2018-01-31

4.  Behind the Scenes of Noninvasive Brain-Computer Interfaces: A Review of Electroencephalography Signals, How They Are Recorded, and Why They Matter.

Authors:  Kevin M Pitt; Jonathan S Brumberg; Jeremy D Burnison; Jyutika Mehta; Juhi Kidwai
Journal:  Perspect ASHA Spec Interest Groups       Date:  2019-11-09

5.  Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces.

Authors:  Florent Bocquelet; Thomas Hueber; Laurent Girin; Christophe Savariaux; Blaise Yvert
Journal:  PLoS Comput Biol       Date:  2016-11-23       Impact factor: 4.475

6.  Decoding Speech With Integrated Hybrid Signals Recorded From the Human Ventral Motor Cortex.

Authors:  Kenji Ibayashi; Naoto Kunii; Takeshi Matsuo; Yohei Ishishita; Seijiro Shimada; Kensuke Kawai; Nobuhito Saito
Journal:  Front Neurosci       Date:  2018-04-05       Impact factor: 4.677

Review 7.  Cognitive-motor brain-machine interfaces.

Authors:  Ariel Tankus; Itzhak Fried; Shy Shoham
Journal:  J Physiol Paris       Date:  2013-06-15
  7 in total

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