Background: The Xingnao Kaiqiao acupuncture method, founded by Academician ShiXuemin, has outstanding efficacy in the treatment of ischemic stroke and has been widelyused at home and abroad. However, after half a cent...Background: The Xingnao Kaiqiao acupuncture method, founded by Academician ShiXuemin, has outstanding efficacy in the treatment of ischemic stroke and has been widelyused at home and abroad. However, after half a century of animal experiments and clinicalstudies, clearly and intuitively revealing its therapeutic mechanism is still a great challengefor researchers. Therefore, this experiment is based on the combination of medicine andengineering to study the immediate effects of the acupuncture method in treating patientsby recording the electroencephalography (EEG) activities of subjects during the acupunctureprocess and to further reveal the therapeutic mechanism at the brain level. Methods: Thistrial is an exploratory, prospective, single-arm interventional study involving a total ofpatients with ischemic stroke. Physicians will record EEG data from patients duringacupuncture as the primary outcome indicator. After pre-processing the EEG data,researchers will use various methods to analyze the immediate effects of acupuncture toobtain brain effectiveness. Deep learning will then be used to identify acupoint stimuli andreceive correspondence between the acupuncture effect and the brain’s internal state.National Institutes of Health Stroke Scale score before and after the acupuncture process willbe used as the secondary outcome indicator. Conclusion: This is the first study protocol toapply dynamic changes in EEG to explore a range of mechanisms of action of acupuncture inthe treatment of ischemic stroke. We propose a method to analyze EEG signals ofacupuncture patients. The deep learning model will be applied for supervised training toobtain the compelling relationship between the acupuncture method and internal brainstates, providing a new prospect for the digitization of traditional Chinese medicine.展开更多
基金The research was supported by the Department of Science and Technology of the National Administration of Traditional Chinese Medicine Local Project of Central Financial Transfer Payment in 2021(grant no.2021JDBZTS-01).
文摘Background: The Xingnao Kaiqiao acupuncture method, founded by Academician ShiXuemin, has outstanding efficacy in the treatment of ischemic stroke and has been widelyused at home and abroad. However, after half a century of animal experiments and clinicalstudies, clearly and intuitively revealing its therapeutic mechanism is still a great challengefor researchers. Therefore, this experiment is based on the combination of medicine andengineering to study the immediate effects of the acupuncture method in treating patientsby recording the electroencephalography (EEG) activities of subjects during the acupunctureprocess and to further reveal the therapeutic mechanism at the brain level. Methods: Thistrial is an exploratory, prospective, single-arm interventional study involving a total ofpatients with ischemic stroke. Physicians will record EEG data from patients duringacupuncture as the primary outcome indicator. After pre-processing the EEG data,researchers will use various methods to analyze the immediate effects of acupuncture toobtain brain effectiveness. Deep learning will then be used to identify acupoint stimuli andreceive correspondence between the acupuncture effect and the brain’s internal state.National Institutes of Health Stroke Scale score before and after the acupuncture process willbe used as the secondary outcome indicator. Conclusion: This is the first study protocol toapply dynamic changes in EEG to explore a range of mechanisms of action of acupuncture inthe treatment of ischemic stroke. We propose a method to analyze EEG signals ofacupuncture patients. The deep learning model will be applied for supervised training toobtain the compelling relationship between the acupuncture method and internal brainstates, providing a new prospect for the digitization of traditional Chinese medicine.
