An auscultatory technique of Chinese medicine: Pattern recognition based on timbre of human-voice matching with standardized patterns of sound from Bianzhong of Marquis Yi of Zeng (***)

Author(s):  
Zhiwei Liang ◽  
Xiaoyan Luo ◽  
Linli Wang ◽  
Qianrong Liang ◽  
Zhiwei Liang ◽  
...  
Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuhe Fu ◽  
Chonghui Zhang ◽  
Yujuan Chen ◽  
Fengjuan Gu ◽  
Tomas Baležentis ◽  
...  

PurposeThe proposed DHHFLOWLAD is used to design a recommendation system, which aims to provide the most appropriate treatment to the patient under a double hierarchy hesitant fuzzy linguistic environment.Design/methodology/approachBased on the ordered weighted distance measure and logarithmic aggregation, we first propose a double hierarchy hesitant fuzzy linguistic ordered weighted logarithmic averaging distance (DHHFLOWLAD) measure in this paper.FindingsA case study is presented to illustrate the practicability and efficiency of the proposed approach. The results show that the recommendation system can prioritize TCM treatment plans effectively. Moreover, it can cope with pattern recognition problems efficiently under uncertain information environments.Originality/valueAn expert system is proposed to combat COVID-19 that is an emerging infectious disease causing disruptions globally. Traditional Chinese medicine (TCM) has been proved to relieve symptoms, improve the cure rate, and reduce the death rate in clinical cases of COVID-19.


2011 ◽  
Vol 393-395 ◽  
pp. 1139-1142
Author(s):  
Wen Rui ◽  
Hong Yuan Chen ◽  
Yi Fan Feng ◽  
Zhong Feng Shi ◽  
Miao Miao Jiang

Bupleurum scorzoneri folium Willd.(BSFW) is a traditional Chinese medicine which is widely distributed in China. To evaluate the quality of BSFW from different habitats, samples from 5 different areas in China were determined by UPLC/MS. The chemical data were dealed with hierarchical clustering, PCA, SPCA, PLSDA and SPLSDA using R software. The results show that these pattern recognition methods can fully reflect the chemical composition of different areas of BSFW, which make it possible to control the quality.


2019 ◽  
Vol 35 (3) ◽  
pp. 365-400
Author(s):  
Sally Ann Ness ◽  

Acupoint Biophoton Emissions Testing (ABET), an alternative diagnostic technique used by practitioners of Traditional Chinese Medicine, illustrates a case of non-linguistic Delome-level semiosis that is understood to form an interface between endosemiotic and linguistic semiotic levels of human (bio-)communication. Performed manually, the technique employs an array of Hypoiconic and Indexical Symbols that, when used in combination, enable practitioners to “listen in” and learn with biocommunicational processes, re-embodying them in a manner that renders them available to conscious recognition and linguistic representation. The Delome formations of the ABET technique afford the gradual accumulation and transformation of practitioner understanding through sign co-performances that achieve triadic relationality mediationally—prefiguring fully representational forms of learning. They demonstrate embodied capacities for pattern recognition, coordination, exploration, articulation, explication and self-governance that may have evolved in advance of representational sign formations, setting the evolutionary stage for them.


Author(s):  
Fanpeng Zhou ◽  
Jianjun Yan ◽  
Yiqin Wang ◽  
Fufeng Li ◽  
Chunming Xia ◽  
...  

Digital auscultation of Traditional Chinese Medicine (TCM) is a relatively new technology which has been developed for several years. This system makes diagnoses by analyzing sound signals of patients using signal processing and pattern recognition. The paper discusses TCM auscultation in both traditional and current digital auscultation methods. First, this article discusses demerits of traditional TCM auscultation methods. It is through these demerits that a conclusion is drawn that digital auscultation of TCM is indispensable. Then this article makes an introduction to voice analysis methods from linear and nonlinear analysis aspects to pattern recognition methods in common use. Finally this article establishes a new TCM digital auscultation system based on wavelet analysis and Back-propagation neural network (BPNN).


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