[Applications and prospects of electroencephalography technology in neurorehabilitation assessment and treatment].

Weizhong He, Dengyu Wang, Qiangfan Meng, Feng He, Minpeng Xu, Dong Ming
{"title":"[Applications and prospects of electroencephalography technology in neurorehabilitation assessment and treatment].","authors":"Weizhong He, Dengyu Wang, Qiangfan Meng, Feng He, Minpeng Xu, Dong Ming","doi":"10.7507/1001-5515.202404046","DOIUrl":null,"url":null,"abstract":"<p><p>With the high incidence of neurological diseases such as stroke and mental illness, rehabilitation treatments for neurological disorders have received widespread attention. Electroencephalography (EEG) technology, despite its excellent temporal resolution, has historically been limited in application due to its insufficient spatial resolution, and is mainly confined to preoperative assessment, intraoperative monitoring, and epilepsy detection. However, traditional constraints of EEG technology are being overcome with the popularization of EEG technology with high-density over 64-lead, the application of innovative analysis techniques and the integration of multimodal techniques, which are significantly broadening its applications in clinical settings. These advancements have not only reinforced the irreplaceable role of EEG technology in neurorehabilitation assessment, but also expanded its therapeutic potential through its combined use with technologies such as transcranial magnetic stimulation, transcranial electrical stimulation and brain-computer interfaces. This article reviewed the applications, advancements, and future prospects of EEG technology in neurorehabilitation assessment and treatment. Advancements in technology and interdisciplinary collaboration are expected to drive new applications and innovations in EEG technology within the neurorehabilitation field, providing patients with more precise and personalized rehabilitation strategies.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"41 6","pages":"1271-1278"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955371/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"生物医学工程学杂志","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.7507/1001-5515.202404046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

With the high incidence of neurological diseases such as stroke and mental illness, rehabilitation treatments for neurological disorders have received widespread attention. Electroencephalography (EEG) technology, despite its excellent temporal resolution, has historically been limited in application due to its insufficient spatial resolution, and is mainly confined to preoperative assessment, intraoperative monitoring, and epilepsy detection. However, traditional constraints of EEG technology are being overcome with the popularization of EEG technology with high-density over 64-lead, the application of innovative analysis techniques and the integration of multimodal techniques, which are significantly broadening its applications in clinical settings. These advancements have not only reinforced the irreplaceable role of EEG technology in neurorehabilitation assessment, but also expanded its therapeutic potential through its combined use with technologies such as transcranial magnetic stimulation, transcranial electrical stimulation and brain-computer interfaces. This article reviewed the applications, advancements, and future prospects of EEG technology in neurorehabilitation assessment and treatment. Advancements in technology and interdisciplinary collaboration are expected to drive new applications and innovations in EEG technology within the neurorehabilitation field, providing patients with more precise and personalized rehabilitation strategies.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
[脑电图技术在神经康复评估与治疗中的应用与展望]。
随着脑卒中、精神疾病等神经系统疾病的高发,神经系统疾病的康复治疗受到了广泛关注。脑电图(EEG)技术虽然具有优异的时间分辨率,但由于其空间分辨率不足,历史上的应用受到限制,主要局限于术前评估、术中监测和癫痫检测。然而,随着高密度超过64导联的脑电图技术的普及、创新分析技术的应用以及多模态技术的融合,脑电图技术正在克服传统的局限性,显著拓宽其在临床中的应用范围。这些进步不仅强化了脑电图技术在神经康复评估中不可替代的作用,而且通过与经颅磁刺激、经颅电刺激、脑机接口等技术的结合使用,扩大了脑电图技术的治疗潜力。本文综述了脑电图技术在神经康复评估和治疗中的应用、进展及未来展望。技术的进步和跨学科合作有望推动脑电图技术在神经康复领域的新应用和创新,为患者提供更精确和个性化的康复策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
生物医学工程学杂志
生物医学工程学杂志 Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
4868
期刊介绍:
期刊最新文献
[A review of noninvasive brain-computer interfaces combined with transcranial electrical stimulation for neural rehabilitation]. [Progress and application of machine learning in sports injury research]. [Fiber photometry-based analysis of transcranial magneto-acoustic electrical stimulation effects on synaptic plasticity in the hippocampal CA1 region of APP/PS1 mice]. [Master manipulator of vascular intervention surgical robot based on haptic feedback]. [Early Alzheimer's disease recognition via multimodal hand movement quality assessment].
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1