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Acoustic analysis is a method of clinically non-invasive, low-cost, remote-operation, and can avoid direct face-to-face contact.
It has been proved by many researches in recent years that it has a high diagnostic rate in predicting diseases. Lung function is closely related to human vocalization and has the potential and need for sound analysis. From literature review, it can be inferred that the Qi deficiency constitution in TCM is related to the strength of heart and lung function.The purpose of this study is to investigate the correlation between cardiopulmonary function and Qi deficiency, and to predict the correlation between the data by computer algorithm and artificial intelligence. Furthermore, the artificial intelligence (AI) self-correction ability can be combined with sound analysis to simulate a sound analysis system that can predict cardiopulmonary function and degree of qi deficiency only through sound information.
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100 participants in 2 patient groups
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Jung- Nien Lai, MD(Doctor of medicine); Sophie Juang, TCM undergraduate
Data sourced from clinicaltrials.gov
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