The impact of artificial intelligence on traditional Chinese medicine

Y Wang, X Shi, L Li, T Efferth… - The American journal of …, 2021 - World Scientific
Traditional Chinese Medicine (TCM) is a well-established medical system with a long
history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including …

Ultra elastic, stretchable, self-healing conductive hydrogels with tunable optical properties for highly sensitive soft electronic sensors

M Wu, J Chen, Y Ma, B Yan, M Pan, Q Peng… - Journal of Materials …, 2020 - pubs.rsc.org
Conductive hydrogels are of great significance for soft electronic devices. However, the
intrinsically weak nature, lack of fatigue resistance and self-healing capability, and the …

Advances in the application of traditional chinese medicine using artificial intelligence: a review

S Zhang, W Wang, X Pi, Z He, H Liu - The American journal of …, 2023 - World Scientific
Traditional Chinese medicine (TCM), as one of the crystallizations of Chinese wisdom,
emphasizes the balance of Yin and Yang to keep the body healthy. Under the theoretical …

Advances in patient classification for traditional Chinese medicine: a machine learning perspective

C Zhao, GZ Li, C Wang, J Niu - … ‐Based Complementary and …, 2015 - Wiley Online Library
As a complementary and alternative medicine in medical field, traditional Chinese medicine
(TCM) has drawn great attention in the domestic field and overseas. In practice, TCM …

Pulse-wave-pattern classification with a convolutional neural network

G Li, K Watanabe, H Anzai, X Song, A Qiao, M Ohta - Scientific reports, 2019 - nature.com
Owing to the diversity of pulse-wave morphology, pulse-based diagnosis is difficult,
especially pulse-wave-pattern classification (PWPC). A powerful method for PWPC is a …

An objective review of the technological developments for radial pulse diagnosis in Traditional Chinese Medicine

R Velik - European Journal of Integrative Medicine, 2015 - Elsevier
Introduction Pulse palpation is an important diagnostic tool in Traditional Chinese Medicine
(TCM) and related Oriental medicine systems. However, mastering pulse diagnosis requires …

Supervised learning methods for pathological arterial pulse wave differentiation: a SVM and neural networks approach

JS Paiva, J Cardoso, T Pereira - International journal of medical informatics, 2018 - Elsevier
Objective The main goal of this study was to develop an automatic method based on
supervised learning methods, able to distinguish healthy from pathologic arterial pulse wave …

The influence of global constraints on similarity measures for time-series databases

V Kurbalija, M Radovanović, Z Geler… - Knowledge-Based …, 2014 - Elsevier
A time series consists of a series of values or events obtained over repeated measurements
in time. Analysis of time series represents an important tool in many application areas, such …

Radial artery pulse wave age-related assessment for diabetic patients based on multiple linear regression time domain analysis method

B Li, Y Lu, X Sun, X Chen, W Gong, F Miao - Extreme Mechanics Letters, 2024 - Elsevier
The global incidence of diabetes increases yearly. About 10% of adults are affected. This
study established a multiple linear regression (MLR) time domain analysis model of radial …

[HTML][HTML] Ensemble learning-based pulse signal recognition: classification model development study

J Yan, X Cai, S Chen, R Guo, H Yan… - JMIR Medical …, 2021 - medinform.jmir.org
Background In pulse signal analysis and identification, time domain and time frequency
domain analysis methods can obtain interpretable structured data and build classification …