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. Research motivation and questions: 1. Is the sound characteristic of an individual related to individual's qi deficiency and cardiopulmonary function? 2. Can lung function and qi deficiency be measured by sound analysis? 3. To understand the correlation between Qi deficiency and cardiopulmonary endurance index. 4. Is there any difference in sound characteristics before and after step test and does it help predicting cardiopulmonary function?
Study Type
OBSERVATIONAL
Enrollment
100
3 minutes step test- Stair hight:20 cm, Pace: 96 steps per minute
No. 2, Yude Road, North District
Taichung, Taichung City, Taiwan
RECRUITINGFVC<80%
FVC\<80%
Time frame: 10 mins
FVC>80%
FVC\>80%
Time frame: 10 mins
Qi deficient
Qi deficient
Time frame: 10 mins
step test: heart rate recovery
Tecumseh step test.
Time frame: 15 mins
Voice record
/a/, /e/, /i/, /o/, /u/, five seconds each, 3 times per person
Time frame: 15 mins
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