Effects of joy and sorrow on pulse-graph parameters in healthy female college students based on emotion-evoked experiments

Zhang, Jiayuan; Liao, Jieying; Wang, Tianfang; Yuan, Rong; Zhao, Yan; Han, Zhuo Rachel; TANG, Ling; Zhao, Lihong

doi:10.1016/j.explore.2020.09.011

Cited by 3 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This illustrates the importance of pulse diagnosis in diagnosing diseases in Chinese medicine. Pulse diagnosis is characterized by "the pulse is delicate and its body is difficult to distinguish" and is one of the most difficult dialectical tools to master among the four diagnoses in traditional Chinese medicine, which is influenced by the subjectivity and clinical experience of Chinese medicine practitioners and lacks objective and unified diagnostic criteria [4][5][6]. The authors have not reported in the literature on the use of pulse diagnostic parameters in SLE diseases.Therefore, in this study, the SmartTCM-A1 TCM intelligent detection system was used to collect pulse diagnosis information from SLE patients and healthy individuals, and to statistically analyze the pulse diagnosis information of SLE patients with different TCM evidence types to objectively assess the changes of pulse diagnosis image parameters in SLE patients with different TCM evidence types and to provide an objective basis for TCM evidence-based treatment of SLE.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence-based traditional Chinese medicine assistive diagnostic system: analysis of pulse parameters in patients with systemic lupus erythematosus and the factors influencing their Chinese medical evidence patterns

Pan¹,

Gong²,

Wei³

et al. 2023

International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022)

View full text Add to dashboard Cite

Objective: To analyze the characteristics of pulse pattern parameters of systemic lupus erythematosus (SLE) patients and the factors influencing their TCM patterns, and to provide an objective basis for their TCM pulse diagnosis and diagnosis. Methods: The SmartTCM-A1 TCM intelligent detection system was used to collect pulse diagnosis image information from 267 SLE patients (140 in the Yin deficiency internal heat evidence group, 96 in the heat toxin incandescence evidence group, and 31 in the rheumatic heat paralysis evidence group) and 130 healthy individuals, extract the image parameters of pulse diagnosis, and analyze the characteristics of pulse diagnosis parameters of SLE patients and their influencing factors of pulse diagnosis parameters of different TCM evidence types by logistic regression model. Results: ① Compared with the healthy group, the pulse parameters h1 value, h4 value, and t1/t value were significantly higher in the SLE group (P<0.05) and the pulse parameter t value was significantly lower in the SLE group (P<0.05); logistic regression analysis showed that the independent influencing factors in SLE patients included: h4 value (OR=1.073; 95% CI=1.003-1.148 ;P<0.05), t-value (OR=0.003;95% CI=0.000-0.763;P<0.05) and t1/t-value (OR=0.000;95% CI=0.000-1.199;P<0.05). ② Compared with the group with incandescent heat toxin evidence, the h4 value, h5 value, t4 value, t5 value, t5/t4 value were significantly lower in the group with Yin deficiency internal heat evidence (P<0.05), the h4/h1 value and t1/t4 value were significantly higher in the group with Yin deficiency internal heat evidence (P<0.05), the h4 value, h5 value, t5 value, h4/h1 value were significantly lower in the group with rheumatic heat paralysis evidence (P<0.05), and the t4 value, h5/h1 value, t5/t1 value were significantly lower in the group with rheumatic heat paralysis evidence (P<0.05). , h5/h1 values, and t1/t4 values were significantly higher in the rheumatism-heat paralysis group (P<0.05); logistic regression analysis. The results showed that the independent influencing factors of TCM evidence in SLE patients included: h3 values in the yin deficiency internal heat evidence group (OR=2.295; 95% CI=1.843-2.858; P<0.05) and h3 values in the rheumatic heat paralysis evidence group (OR=2.309; 95% CI=1.87-2.85; P<0.05). Conclusion:. Conclusion Pulse diagnosis parameters h4 value, t value and t1/t value are one of the influencing factors for the diagnosis of SLE patients, and pulse diagnosis parameter h3 value is one of the influencing factors for the diagnosis of SLE Chinese medical evidence.

show abstract

Section: Introductionmentioning

confidence: 99%