基于脑-机接口的针刺手法量学规范化研究 |
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作者姓名: | 金传阳 朱海滨 熊嘉玮 张建斌 |
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作者单位: | 南京中医药大学第二附属医院,江苏 南京 210017 |
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基金项目: | 国家自然科学基金81973947南京中医药大学自然科学基金XZR2020053 |
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摘 要: | 基于脑-机接口技术分析针刺治疗中相关刺激量和效应评价等相关问题,对针刺手法量学规范化研究作初步论述。提出基于脑-机接口的针刺手法量学研究特点包括数据量巨大、数据流稳健、客观量化和自由度分析高等。认为针灸临床视角下的脑-机接口数据获取重点包括了神经元网络整体联结性,特定脑区活动,针刺干预中机体耐受/痛阈波动,皮质不同板层神经元动力学改变等4方面。以针灸干预中风后康复的疗效评价为例,说明基于脑-机接口的针刺手法量学规范化的研究特点和潜在优势。
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关 键 词: | 针刺 刺激量 规范化 脑-机接口 神经电生理 |
收稿时间: | 2021-04-25 |
Standardization Research on Quantification of Acupuncture Manipulation Stimuli Based on Brain-Computer Interface |
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Authors: | JIN Chuan-yang ZHU Hai-bin XIONG Jia-wei ZHANG Jian-bin |
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Institution: | The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210017, China |
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Abstract: | Based on the brain-computer interface technology, we analyzed the problems related to the number of stimuli and treatment effect of acupuncture, so as to make a preliminary overview about standardization research on the quantification of acupuncture manipulation stimuli. It is proposed that the characteristics of the quantitative study of acupuncture manipulation stimuli based on a brain-computer interface include a large amount of data, stable data flow, as well as quantification and objection along with a high degree of freedom in analysis. It is suggested that the focus of data acquisition at the brain-computer interface from a clinical perspective of acupuncture manipulation includes four aspects: the overall connectivity of neural networks, the activity of specific brain areas, the fluctuation of body tolerance or pain threshold during acupuncture intervention, and the activity change of different lamina neurons of the cortex. The efficacy evaluation of acupuncture interventions in post-stroke rehabilitation is used as an example to illustrate the study characteristics and potential advantages of standardization research on the quantification of acupuncture manipulation stimuli based on brain-computer interface. |
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Keywords: | acupuncture quantity of stimuli normalization brain-machine interface electrophysiology |
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