Discrete acceleration and personalised tiling as brain?body interface paradigms for neurorehabilitation

Gnanayutham, Paul; Bloor, Chris; Cockton, Gilbert

doi:10.1145/1054972.1055009

Cited by 6 publications

(11 citation statements)

References 19 publications

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“…Millions of people suffer from severe impairments due to physical, sensorial, or mental damage [1]. When neuromuscular channels that permit communication between brain and environment are affected, partial or total muscle control may be lost.…”

Section: Introductionmentioning

confidence: 99%

Magnitude Squared of Coherence to Detect Imaginary Movement

Filho

Tierra-Criollo

Souza

et al. 2009

EURASIP J. Adv. Signal Process.

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This work investigates the Magnitude Squared of Coherence (MSC) for detection of Event Related Potentials (ERPs) related to left-hand index finger movement. Initially, ERP presence was examined in different brain areas. To accomplish that, 20 EEG channels were used, positioned according to the 10-20 international system. The grand average, resulting from 10 normal subjects showed, as expected, responses at frontal, central, and parietal areas, particularly evident at the central area (C3, C4, Cz). The MSC, applied to movement imagination related EEG signals, detected a consistent response in frequencies around 0.3-1 Hz (delta band), mainly at central area (C3, Cz, and C4). Ability differences in control imagination among subjects produced different detection performance. Some subjects needed up to 45 events for a detectable response, while for some others only 10 events proved sufficient. Some subjects also required two or three experimental sessions in order to achieve detectable responses. For one subject, response detection was not possible at all. However, due to brain plasticity, it is plausible to expect that training sessions (to practice movement imagination) improve signal-noise ratio and lead to better detection using MSC. Results are sufficiently encouraging as to suggest further exploration of MSC for future BCI application.

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Section: Introductionmentioning

confidence: 99%

Magnitude Squared of Coherence to Detect Imaginary Movement

Filho

Tierra-Criollo

Souza

et al. 2009

EURASIP J. Adv. Signal Process.

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show abstract

“…Results obtained in summative methods should be tested using statistical methods, statistical significance, hypothesis validation, null hypothesis etc. Previous research [18] showed how five out of ten were unable to participate due to the visual impairment. This new research conducted at the Low Vision Unit of the National Eye Hospital (Colombo) for participants aged between seven and seventy were able to say 'yes' or 'no' using the brain body interface with seventy five percent consistency.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Inclusive Design for Brain Body Interfaces

Gnanayutham

George²

2007

Foundations of Augmented Cognition

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In comparison to all types of injury, those to the brain are among the most likely to result in death or permanent disability. A certain percentage of these brain-injured people cannot communicate, recreate, or control their environment due to severe motor impairment. This group of individuals with severe head injury has received little from assistive technology. Brain computer interfaces have opened up a spectrum of assistive technologies, which are particularly appropriate for people with traumatic brain-injury, especially those who suffer from "locked-in" syndrome. Previous research in this area developed brain body interfaces so that this group of brain-injured people can communicate, recreate and launch applications communicate using computers despite the severity of their brain injury, except for visually impaired and comatose participants. This paper reports on an exploratory investigation carried out with visually impaired using facial muscles or electromyography (EMG) to communicate using brain body interfaces.

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“…With an external input device for brain waves this interface can be used for the brain injured during speech therapy. Gnanayutham and his team [16] designed and developed a soft keyboard for non-verbal quadriplegic brain injured persons. Future research in this area could connect brain waves to the interface developed in this research thereby taking this research to the next stage where the brain injured non-verbal community could be integrates into this research.…”

Section: Resultsmentioning

confidence: 99%

Facilitating Pronunciation Skills for Children with Phonological Disorders Using Human Modelling

George¹,

Gnanayutham

2007

Digital Human Modeling

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Children are often forced into mainstream schools while special needs schools are being shut down. Children with phonological disorders in mainstream schools go through fear, shame and frustration of not being understood or misunderstood. The proposed research attempts to address this issue by way of designing and developing a prototype for an assistive device that would help special needs children in mainstream education. This will also help children overcome problems that result from lack of confidence. This work has been very much a pioneering work and has achieved the target it pursued.

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Discrete acceleration and personalised tiling as brain?body interface paradigms for neurorehabilitation

Cited by 6 publications

References 19 publications

Magnitude Squared of Coherence to Detect Imaginary Movement

Magnitude Squared of Coherence to Detect Imaginary Movement

Inclusive Design for Brain Body Interfaces

Facilitating Pronunciation Skills for Children with Phonological Disorders Using Human Modelling

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