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For a long time, Chinese medicine has attached great importance to "pulse diagnosis for patients before acupuncture treatment", which emphasizes the close relationship between pulse diagnosis and acupuncture. Pulse diagnosis information is closely related to acupuncture research and runs through the whole process of diagnosis and treatment. However, the lack of repeatable and quantifiable real-time detection means of pulse diagnosis information has affected the application of pulse diagnosis in acupuncture research. Photo plethysmo graphy (PPG) technology has the advantages of convenient acquisition, low price, non-invasive, easy to use and so on. Under the guidance of TCM diagnosis theory, this paper discussed the principle and characteristics of fingertip volumetric pulse wave, studied its relationship with Cunkou pulse diagnosis, developed a new fingertip blood volumetric pulse wave measuring instrument, explored the acquisition and measurement methods of volumetric pulse wave signal, and proposed the relationship between the measuring instrument and acupuncture research. It can provide basic tools and data analysis and support for acupuncture research.In learning and evaluation of acupuncture manipulations, there are lack of quantitative physical parameters on exertion strength, duration and direction of acupuncture technique at present. Based on the tactile parameters collected during "twirling" and "lifting-thrusting" of needling, a kind of array polyvinylidene fluoride (PVDF) tactile sensor was designed. Followed by, a window segmentation method for tactile signal was proposed and the time domain features of the window were extracted. Finally, an identification method of acupuncture manipulation based on FCM (Fuzzy C-Means) was constructed. Through the experiment, it was proved that this sensor can effectively identify the four kinds of basic acupuncture manipulations, i.e. reinforcing by twirling and rotating, reducing by twirling and rotating, reinforcing by lifting and thrusting and reducing by lifting and thrusting and it was conductive to the quantification and dissemination of acupuncture manipulations.

To improve the accuracy of acupuncture manipulation modeling and inheritance, this article explores the feasibility of automatically classifying "twirling" and "lifting and thrusting", two basic acupuncture manipulations in science of acupuncture and moxibustion, with the computer vision technology.

A hybrid deep learning network model was designed based on 3D convolutional neural network and long-short term memory neural network to extract the spatial-temporal features of video frame sequences, which were then input into the classifier for classification.

The model discriminated between "twirling" and "lifting and thrusting" manipulations in 200 videos, with the training and verification accuracy reaching up to 95.4% and 95.3%, respectively.

This computer vision-based acupuncture manipulation classification system provides an effective way for the data extraction and inheritance of acupuncture manipulations.

This computer vision-based acupuncture manipulation classification system provides an effective way for the data extraction and inheritance of acupuncture manipulations.Although the basic mechanism of acupuncture-moxibustion has been revealed from many aspects, there are still many shackles in the transformation of the related research achievements. BTK inhibitor mouse The transformation of academic achievements of experimental acupunctology is an urgent issue to be solved at present. Network regulation is the basic action mode of acupuncture therapy. In the present paper, we proposed that the "acupuncture network drug" could carry a variety of effective active ingredients which may be the core component of network regulation of acupuncture therapy. The "exosomes", polyvesicle derived from the intracellular lysosomal microparticles invagination, contain complex RNAs and proteins and exist in the body fluids and function in secreting abundant activate substances to participate in intercellular communication, which is the research hotspot in the field of frontier life science in the world. They play an important role in the diagnosis and treatment of diseases, and drug development, etc.. Our studies using rats with adjuvant arthritis and mice with sepsis displayed that after intraperitoneal administration of serum exosomes derived from normal animals receiving acupuncture intervention, an acupuncture-like analgesic effect and an anti-inflammatory effect were achieved, respectively. It is thus possible that acupuncture network drugs could be developed from serum exosomes secreted by exosome autogenous living cells after acupuncture intervention by virtue of the characteristics of low immunogenicity and may have great advantages in drug development and modification. It is also expected to provide new ideas for the transformation of experimental research results and to in depth give explanations about the underlying mechanisms of acupuncture therapy.Machine learning is a newly emerged discipline. It develops rapidly and has been penetrated into all walks of life and made great achievements in medical field. The introduction of machine learning in the field of acupuncture and moxibustion should fully play the advantages of targeted therapy of acupuncture and moxibustion, optimize the resource allocation of traditional Chinese medicine and accurately serve the clinic rather than only limited to data mining and analysis. In the paper, through the analysis of the relevant literature in recent years, the combination of acupuncture-moxibustion with machine learning was discussed from the aspects of acupoint selection and prescription, clinical teaching application of acupuncture and moxibustion, the prediction on acupuncture curative effect, etc. Moreover, on the base of multidisciplinary intersection and by means of machine learning, the exploration was given on the future direction of acupuncture and moxibustion.As one of the most widely used traditional Chinese medicine (TCM) treatment apparatus, the electric acu-point stimulation (such as electroacupuncture, transcutaneous acupoint electric stimulation, etc.) device plays an important role in improving the efficacy of acupuncture therapy and expanding its indications. The imbalance of human functional state has become an important factor affecting the health condition and quality of life. Acupuncture therapy has the advantage of regulating functional status of patients to restore the balance. Aiming at some problems of current acupuncture stimulation instruments in the stimulated depth, fuzzy range, lack of closed-loop feedback, insufficient combination with the theory of Chinese acupuncture-moxibustion, etc., we, in the present paper, put forward a new way of thinking that the classical theory of "Deqi" of acupuncture should be combined with the modern bio-electronic technology, multimode signal acquisition technology, real-time feedback control techno-logy, etc., in order to develop a series of effective, safe and comfortable integrated closed-loop feedback acupoint electrical stimulation devices.