Investigating output modality for a brain-computer interface for communication
Investigating output modality for a brain-computer interface for communication
批准号:
8231707
负责人:
Jonathan S Brumberg
金额:
$16.35万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-21 至 2012-08-31
关键词:
AcousticsAddressAmyotrophic Lateral SclerosisAuditoryBrainCerebral PalsyChronicCommunicationCommunication impairmentComputersDevelopmentDevicesDisabled PersonsElectrocorticogramElectroencephalographyEvaluationEvaluation StudiesFeedbackFrequenciesFutureGoalsImageryImpairmentImplantInvestigationKnowledgeLeadLearningLettersLightMapsMeasuresMicroelectrodesModalityMotorMovementNeurologicOutcomes ResearchOutputParalysedParticipantPatientsPerformancePopulation HeterogeneityProductionProtocols documentationQuality of lifeResearchResearch Project GrantsResearch ProposalsScalp structureSocial InteractionSpeechSpeech PerceptionSpeech SoundSpeech SynthesizersStrokeSurfaceTechnologyTestingTherapeuticTherapeutic InterventionTimeTrainingVisualalternative communicationauditory feedbackbasebrain computer interfacedesignfollow-uphuman subjectimplantable deviceimprovedinsightneuromechanismneuroregulationprototyperesearch studyrestorationskillssoundspellingtwo-dimensionalvisual feedback
中文摘要
描述(由申请人提供):脑机接口(BCI)越来越多地用于严重残疾患者的科学研究和治疗干预应用。这种装置的典型使用提供对计算机光标的连续控制和/或使用从头皮(脑电图)、在脑表面(皮层电描记)或在脑内部(皮层内微电极记录)记录的脑活动来选择离散项目。作为治疗设备,脑机接口在恢复瘫痪和哑巴患者的沟通能力方面非常成功,通常是通过离散选择字母拼写。在一项研究中,语音合成器的实时控制被BCI用于通信。然而,这项研究依赖于侵入性神经记录,这对于广泛的语言治疗应用是不切实际的。拟议的项目通过调查BCI的性能来解决这一知识差距,BCI设计用于将非侵入性EEG感觉运动节律映射到低维语音表示,特别是共振峰频率,用于控制具有瞬时听觉和视觉反馈的连续元音合成器。一个原型装置已经开发和使用的试点科目,以控制二维共振峰频率元音合成器。该设备将用于人类受试者研究,以评估元音产生任务中的BCI性能,以解决两个主要研究主题:[1]反馈方式(听觉与视觉)对学习BCI控制的影响和[2]使用BCI设备研究性能的长期保持。本研究的目的是说明有意义的听觉反馈(即元音声音)作为一个适当的反馈机制的语音脑机接口的可行性。这项技术最终将使严重沟通障碍的患者受益,特别是对于那些侵入性脑机接口不是可行选择的患者。这项研究的结果也将提供一个基础,为未来的脑机接口设计使用低维语音合成器连续生产的辅音和元音使用非侵入性脑电图。长期的研究目标是实时提供连续的人工语音(包括元音和辅音)合成,以恢复沟通,这将是我们提高患者生活质量并使他们更好地参与社会互动能力的重大进步。
公共卫生相关性:这项研究将提高我们对使用脑机接口进行最佳通信所需的反馈控制机制的理解。这项研究的结果有可能提高哑巴,瘫痪患者或其他缺乏说话能力的人的生活质量,并帮助开发改进的脑机接口应用程序。
英文摘要
DESCRIPTION (provided by applicant): Brain-computer interfaces (BCIs) are increasingly being used in both scientific research and therapeutic intervention applications for severely disabled patients. Typical usage of such devices provides continuous control over computer cursors and/or selection of discrete items using brain activity recorded from the scalp (electroencephalography), on the brain surface (electrocorticography), or inside the brain (intracortical microelectrode recording). As therapeutic devices, BCIs have been very successful in restoring communication abilities to paralyzed and mute patients, most often by discrete-choice letter spelling. In one study, real-time control of a speech synthesizer was employed for communication by BCI. However, this study relied on invasive neurological recordings, which is impractical for widespread speech therapeutic application. The proposed project addresses this knowledge gap by investigating performance of a BCI designed to map non- invasive EEG sensorimotor rhythms into a low-dimensional speech representation, specifically formant frequencies, for control of a continuous vowel synthesizer with instantaneous auditory and visual feedback. A prototype device has been developed and used by a pilot subject to control a two dimensional formant frequency vowel synthesizer. This device will be used in a human subjects study for evaluation of BCI performance in vowel production tasks to address two major research topics: [1] the effect of feedback modality (auditory vs. visual) on learning BCI control and [2] investigating long-term retention of performance using the BCI device. The goal of this research study is to illustrate the feasibility of meaningful auditory feedback (i.e. vowel sounds) as an appropriate feedback mechanism for a speech BCI. This technology will ultimately benefit patients with severe communication impairment, especially for those whom invasive BCIs are not viable options. The results of this research will also provide a basis for future BCI designs using low- dimensional speech synthesizers for continuous production of both consonants and vowels using non-invasive EEG. The long-term research goal, of providing continuous artificial speech (both vowels and consonants) synthesis in real-time for restoration of communication, will be a significant advance in our ability to improve the patients' quality of life and allow them to better engage in social interactions.
PUBLIC HEALTH RELEVANCE: The proposed research will improve our understanding of the feedback control mechanisms required for optimal communication using a brain-computer interface. The outcome of this research has the potential to improve the quality of life for mute, paralyzed patients, or others lacking the ability to speak and help inform development of improved brain-computer interface applications for communication.
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会议论文
A virtual vocal tract for speech output using non-invasive brain-computer interface
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批准号:10433983
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项目类别:
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资助金额:$36.34万
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财政年份:2018
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负责人:Jonathan S Brumberg
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依托单位:
A virtual vocal tract for speech output using non-invasive brain-computer interface
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批准号:10203911
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项目类别:
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资助金额:$36.47万
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财政年份:2018
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负责人:Jonathan S Brumberg
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依托单位:
Investigating output modality for a brain-computer interface for communication
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批准号:8336863
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项目类别:
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资助金额:$14.12万
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财政年份:2011
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负责人:Jonathan S Brumberg
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依托单位:
Investigating output modality for a brain-computer interface for communication
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批准号:8532671
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项目类别:
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资助金额:$13.42万
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财政年份:2011
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负责人:Jonathan S Brumberg
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依托单位:
海外基金