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Filter by:COVID-19 has caused various long-term symptoms affecting different bodily functions. A study shows that traditional Chinese medicine can balance the human body disorder after a virus infection and restore health. The study proposes using pulse diagnosis and cardiac rhythm instruments for disease diagnosis and analysis, decomposing time domain pulse wave signals into different frequency ranges and calculating the "spectral energy ratio" and EP to quantify the patient's pathological pulse. The method has been applied to pulse wave analysis of people with suboptimal health status, and its effectiveness has been preliminarily confirmed. The study aims to find the relationship between these parameters and clinical subjective scale scores, to establish an objective data bridge for Chinese and Western medicine diagnosis. In the future, the analysis method will include more subject data to verify the completeness of the method and establish a feasible prediction model.
Taking pulse as a disease diagnosis process has a long history in traditional Chinese medicine (TCM). Ancient physicians used the common attributes of pulse conditions and finger-feeling characteristics as a basis for pulse classification, which " position, rate, shape and tendency " is the principle for pulse differentiation. However, it is not easy to express feelings of hands in a scientific way and not easy for clinical teaching and practice. To develope a new direction of pulse diagnosis in TCM by deep learning and integrative time-frequency domain analysis maybe can be solved the problem.
Accurate segmentation of lung tumor is essential for treatment planning, as well as for monitoring response to therapy. It is well-known that segmentation of the lung tumour by different radiologists gives different results (inter-observer variance). Moreover, if the same radiologist is asked to repeat the segmentation after several weeks, these two segmentations are not identical (intra-observer variance). In this study we aim to develop an automated pipeline that can produce swift, accurate and reproducible lung tumor segmentations.