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Towards Clinical Acceptability: Enhancing the P300-based Brain-Computer Interface

Towards Clinical Acceptability: Enhancing the P300-based Brain-Computer Interface
迈向临床可接受性:增强基于 P300 的脑机接口
批准号:
8309132
负责人:
LESLIE M. COLLINS
金额:
$56.39万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-20 至 2014-08-31

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中文摘要
翻译
描述(由申请人提供):如果患者愿意花费相当长的时间进行系统使用培训并愿意接受相当慢的通信速率,则利用P300 Speller的当前脑机接口(BCI)系统可以为锁定患者提供有效的通信手段。本研究的总体目标是通过提高系统的鲁棒性、提高患者实现的通信速率以及减少培训患者使用系统所需的时间,将当前的P300 Speller BCI系统从研究实验室过渡到临床使用。在这项工作的R21阶段,将评估标准拼写器和训练范式的三种变化以实现这些目标的潜力:1)通过最佳实验设计改进实时刺激选择,2)使用特征选择技术进行通道选择,3)通过P300响应的顺序检测提高通信速率。在R21阶段完成时,这些方法有可能在一组正常受试者中实质性地提高通信速率、提高鲁棒性和提高准确性。 在这项工作的R33阶段,我们建议评估我们的R21发展对残疾人的影响。具体而言,我们将开始通过评估基线和改进的拼写系统的影响,对残疾人的主题,而在临床环境中操作的系统。利用从临床环境中的这些受试者中获得的经验教训,我们将开始在家庭环境中测试基线和改进的系统。这一分阶段开发和概念验证工作的目标是将目前在研究环境中运行良好的P300拼写器系统转换为可由临床人群在家庭环境中使用的工具。 在R21/R33工作成功完成后,将证明ALS患者可在家中使用的具有稳健和准确性能的辅助和替代通信(AAC)设备,并应准备好开始商业化阶段。虽然目前存在基于P300拼写者范例的研究和实验室系统,但它们尚未成功地过渡到诊所或家庭。这项工作的目标是实现从研究平台到临床医生处方的临床相关AAC器械的过渡。除了在临床上提供更强大的研究工具外,ALS受试者还能够在家中以强大而准确的方式进行交流。
英文摘要
DESCRIPTION (provided by applicant): Current brain-computer interface (BCI) systems utilizing the P300 Speller can provide an effective means of communication for locked-in patients if the patients are willing to spend considerable time training to use the system and are willing to accept a fairly slow communication rate. The overarching goal of this research is to transition current P300 Speller BCI systems from research labs to clinical use by increasing system robustness, increasing the communication rate achieved by the patient, and reducing the time required to train the patient to use the system. In the R21 phase of this work, three variations on the standard speller and training paradigm will be evaluated for their potential to achieve these goals: 1) improved real-time stimulus selection via optimal experiment design, 2) channel selection using feature selection techniques, and 3) improved communication rates via the sequential detection of P300 responses. At the completion of the R21 phase, these approaches have the potential to substantively improve communication rates, improve robustness, and increase accuracy in a set of normal subjects. In the R33 phase of this effort, we propose to evaluate the impact of our R21 developments in subjects with disabilities. Specifically, we will begin by assessing the impact of the baseline and improved speller system on subjects with disabilities while operating the system in a clinical environment. Using lessons learned from these subjects in the clinical environment, we will begin testing the baseline and improved system in the home environment. The goal of this phased development and proof of concept effort is to transition the current P300 speller system which operates fairly well in a research environment into a tool that can be used in the home environment by the clinical population for which it was developed. At the successful completion of this R21/R33 effort, an Augmentative and Alternative Communication (AAC) device that can be used in the home by ALS patients with robust and accurate performance will have been demonstrated and should be ready to begin a commercialization phase. While research and laboratory systems exist currently that are based on the P300 speller paradigm, they have not been successfully transitioned to the clinic, or the home. The goal of this effort is to effect that transition from research platform to clinically relevant AAC device prescribable by a clinician. In addition to providing a more powerful research tool in the clinic, ALS subjects would be able to communicate in a robust and accurate fashion in the home.
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Leveraging Natural Language Processing for Reverberant Speech Enhancement in Cochlear Implants
  • 批准号:
    10755798
  • 项目类别:
  • 资助金额:
    $17.38万
  • 财政年份:
    2023
  • 负责人:
    LESLIE M. COLLINS
  • 依托单位:
Using Machine Learning to Mitigate Reverberation Effects in Cochlear Implants
  • 批准号:
    9100672
  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2015
  • 负责人:
    LESLIE M. COLLINS
  • 依托单位:
Using Machine Learning to Mitigate Reverberation Effects in Cochlear Implants
  • 批准号:
    9305035
  • 项目类别:
  • 资助金额:
    $29.35万
  • 财政年份:
    2015
  • 负责人:
    LESLIE M. COLLINS
  • 依托单位:
Using Machine Learning to Mitigate Reverberation Effects in Cochlear Implants
  • 批准号:
    8963088
  • 项目类别:
  • 资助金额:
    $28.93万
  • 财政年份:
    2015
  • 负责人:
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  • 依托单位:
海外基金