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稳定解码语音脑机接口可使 ALS 患者无需重新校准即可进行 3 个月的控制。

Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months.

机构信息

Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.

出版信息

Adv Sci (Weinh). 2023 Dec;10(35):e2304853. doi: 10.1002/advs.202304853. Epub 2023 Oct 24.

DOI:10.1002/advs.202304853
PMID:37875404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10724434/
Abstract

Brain-computer interfaces (BCIs) can be used to control assistive devices by patients with neurological disorders like amyotrophic lateral sclerosis (ALS) that limit speech and movement. For assistive control, it is desirable for BCI systems to be accurate and reliable, preferably with minimal setup time. In this study, a participant with severe dysarthria due to ALS operates computer applications with six intuitive speech commands via a chronic electrocorticographic (ECoG) implant over the ventral sensorimotor cortex. Speech commands are accurately detected and decoded (median accuracy: 90.59%) throughout a 3-month study period without model retraining or recalibration. Use of the BCI does not require exogenous timing cues, enabling the participant to issue self-paced commands at will. These results demonstrate that a chronically implanted ECoG-based speech BCI can reliably control assistive devices over long time periods with only initial model training and calibration, supporting the feasibility of unassisted home use.

摘要

脑机接口(BCI)可用于控制患有运动神经元疾病(ALS)等神经障碍的患者的辅助设备,这些疾病限制了言语和运动。对于辅助控制,BCI 系统最好具有准确性和可靠性,最好设置时间最短。在这项研究中,一位因 ALS 导致严重构音障碍的参与者通过在腹侧感觉运动皮层上的慢性脑电图(ECoG)植入物,使用六个直观的语音命令来操作计算机应用程序。在 3 个月的研究期间,无需重新训练或重新校准模型,语音命令就可以被准确地检测和解码(中位数准确率:90.59%)。BCI 的使用不需要外部定时提示,使参与者能够随意发出自我定时的命令。这些结果表明,基于慢性植入 ECoG 的语音 BCI 可以在仅进行初始模型训练和校准的情况下,长时间可靠地控制辅助设备,支持无人协助的家庭使用的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/5ff9e906f190/ADVS-10-2304853-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/aca3295d368b/ADVS-10-2304853-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/46f824a11657/ADVS-10-2304853-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/97f94ea4d87e/ADVS-10-2304853-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/5ae76e658681/ADVS-10-2304853-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/5ff9e906f190/ADVS-10-2304853-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/aca3295d368b/ADVS-10-2304853-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/46f824a11657/ADVS-10-2304853-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/97f94ea4d87e/ADVS-10-2304853-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/5ae76e658681/ADVS-10-2304853-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/10724434/5ff9e906f190/ADVS-10-2304853-g006.jpg

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