Online transcranial Doppler ultrasonographic control of an onscreen keyboard

Brain-computer interface (BCI) systems exploit brain activity for generating a control command and may be used by individuals with severe motor disabilities as an alternative means of communication. An emerging brain monitoring modality for BCI development is transcranial Doppler ultrasonography (TC...

Full description

Bibliographic Details
Main Authors: Jie eLu, Khondaker Abdullah Al Mamun, Tom eChau
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-04-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00199/full
_version_ 1818850738113085440
author Jie eLu
Jie eLu
Khondaker Abdullah Al Mamun
Khondaker Abdullah Al Mamun
Tom eChau
Tom eChau
author_facet Jie eLu
Jie eLu
Khondaker Abdullah Al Mamun
Khondaker Abdullah Al Mamun
Tom eChau
Tom eChau
author_sort Jie eLu
collection DOAJ
description Brain-computer interface (BCI) systems exploit brain activity for generating a control command and may be used by individuals with severe motor disabilities as an alternative means of communication. An emerging brain monitoring modality for BCI development is transcranial Doppler ultrasonography (TCD), which facilitates the tracking of cerebral blood flow velocities associated with mental tasks. However, TCD-BCI studies to date have exclusively been offline. The feasibility of a TCD-based BCI system hinges on its online performance. In this paper, an online TCD-BCI system was implemented, bilaterally tracking blood flow velocities in the middle cerebral arteries for system-paced control of a scanning keyboard. Target letters or words were selected by repetitively rehearsing the spelling while imagining the writing of the intended word, a left-lateralized task. Undesired letters or words were bypassed by performing visual tracking, a non-lateralized task. The keyboard scanning period was 15s. With 10 able-bodied right-handed young adults, the two mental tasks were differentiated online using a Naïve Bayes classification algorithm and a set of time-domain, user-dependent features. The system achieved an average specificity and sensitivity of 81.44 ± 8.35% and 82.30 ± 7.39%, respectively. The level of agreement between the intended and machine-predicted selections was moderate (=0.60). The average information transfer rate was 0.87 bits/min with an average throughput of 0.31 ± 0.12 character/min. These findings suggest that an online TCD-BCI can achieve reasonable accuracies with an intuitive language task, but with modest throughput. Future interface and signal classification enhancements are required to improve communication rate.
first_indexed 2024-12-19T06:53:54Z
format Article
id doaj.art-a2a117e2e3fa4494a3c64ee00fc90e2c
institution Directory Open Access Journal
issn 1662-5161
language English
last_indexed 2024-12-19T06:53:54Z
publishDate 2014-04-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Human Neuroscience
spelling doaj.art-a2a117e2e3fa4494a3c64ee00fc90e2c2022-12-21T20:31:37ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612014-04-01810.3389/fnhum.2014.0019958450Online transcranial Doppler ultrasonographic control of an onscreen keyboardJie eLu0Jie eLu1Khondaker Abdullah Al Mamun2Khondaker Abdullah Al Mamun3Tom eChau4Tom eChau5Holland Bloorview Kids Rehabilitation HospitalUniversity of TorontoHolland Bloorview Kids Rehabilitation HospitalUniversity of TorontoUniversity of TorontoHolland Bloorview Kids Rehabilitation HospitalBrain-computer interface (BCI) systems exploit brain activity for generating a control command and may be used by individuals with severe motor disabilities as an alternative means of communication. An emerging brain monitoring modality for BCI development is transcranial Doppler ultrasonography (TCD), which facilitates the tracking of cerebral blood flow velocities associated with mental tasks. However, TCD-BCI studies to date have exclusively been offline. The feasibility of a TCD-based BCI system hinges on its online performance. In this paper, an online TCD-BCI system was implemented, bilaterally tracking blood flow velocities in the middle cerebral arteries for system-paced control of a scanning keyboard. Target letters or words were selected by repetitively rehearsing the spelling while imagining the writing of the intended word, a left-lateralized task. Undesired letters or words were bypassed by performing visual tracking, a non-lateralized task. The keyboard scanning period was 15s. With 10 able-bodied right-handed young adults, the two mental tasks were differentiated online using a Naïve Bayes classification algorithm and a set of time-domain, user-dependent features. The system achieved an average specificity and sensitivity of 81.44 ± 8.35% and 82.30 ± 7.39%, respectively. The level of agreement between the intended and machine-predicted selections was moderate (=0.60). The average information transfer rate was 0.87 bits/min with an average throughput of 0.31 ± 0.12 character/min. These findings suggest that an online TCD-BCI can achieve reasonable accuracies with an intuitive language task, but with modest throughput. Future interface and signal classification enhancements are required to improve communication rate.http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00199/fullCommunicationMiddle Cerebral ArterylateralizationBCIhemodynamic responseTCD
spellingShingle Jie eLu
Jie eLu
Khondaker Abdullah Al Mamun
Khondaker Abdullah Al Mamun
Tom eChau
Tom eChau
Online transcranial Doppler ultrasonographic control of an onscreen keyboard
Frontiers in Human Neuroscience
Communication
Middle Cerebral Artery
lateralization
BCI
hemodynamic response
TCD
title Online transcranial Doppler ultrasonographic control of an onscreen keyboard
title_full Online transcranial Doppler ultrasonographic control of an onscreen keyboard
title_fullStr Online transcranial Doppler ultrasonographic control of an onscreen keyboard
title_full_unstemmed Online transcranial Doppler ultrasonographic control of an onscreen keyboard
title_short Online transcranial Doppler ultrasonographic control of an onscreen keyboard
title_sort online transcranial doppler ultrasonographic control of an onscreen keyboard
topic Communication
Middle Cerebral Artery
lateralization
BCI
hemodynamic response
TCD
url http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00199/full
work_keys_str_mv AT jieelu onlinetranscranialdopplerultrasonographiccontrolofanonscreenkeyboard
AT jieelu onlinetranscranialdopplerultrasonographiccontrolofanonscreenkeyboard
AT khondakerabdullahalmamun onlinetranscranialdopplerultrasonographiccontrolofanonscreenkeyboard
AT khondakerabdullahalmamun onlinetranscranialdopplerultrasonographiccontrolofanonscreenkeyboard
AT tomechau onlinetranscranialdopplerultrasonographiccontrolofanonscreenkeyboard
AT tomechau onlinetranscranialdopplerultrasonographiccontrolofanonscreenkeyboard