Auriculotherapy in obesity care in primary health care: A systematic review

Santos, Melissa Costa; Rothstein, Joyce Ribeiro; Tesser, Charles Dalcanale

doi:10.1016/j.aimed.2021.07.004

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…Auriculotherapy is a method of alternative therapy, whose efficacy has been reported in many publications, including the treatment for insomnia [1], [2], obesity [3], pain relief [4], and chronic fatigue syndrome of qi deficiency constitution [5]. In 1990, the World Health Organization (WHO) published the auricular acupuncture nomenclature and standardized 43 auricular points [6].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Auricular Point Localization for Auriculotherapy

Sun

Dong

Li³

et al. 2022

IEEE Access

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Auriculotherapy is one of the main forms of treatment in Traditional Chinese Medicine, whose potential as an alternative medicine for both health evaluation and disease treatment has been reported in many cases. However, its efficacy highly relies on the accurate localization of auricular points, which are not easy to be remembered due to their complexity. To explore an efficient way of locating auricular points, this study proposed a deep learning-based method of automatically locating auricular points from auricular images. A self-collected dataset named EID was created for TCM auriculotherapy research, with 91 auriculotherapy-related landmark points manually annotated according to the Chinese national standardization. A deep neural network structure was trained for landmark detection, and a direction normalization module was proposed to compensate for the detection error caused by the difference between the left and right ears. The trained model was validated on dataset EID. An average NME of 0.0514±0.0023 was achieved, which outperformed similar works. In addition, a certain auricular area corresponding to the digestive system was segmented based on the localized landmarks, and the results were tested in real-time video streaming. The proposed work for both auricular landmark and area identification can be widely used in auriculotherapy education and applications.

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