Pulse Diagnosis of Traditional Chinese Medicine
To Develop Pulse Diagnosis of Traditional Chinese Medicine by Deep Learning.
1 other identifier
observational
100
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Feb 2021
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 17, 2021
CompletedFirst Submitted
Initial submission to the registry
March 14, 2021
CompletedFirst Posted
Study publicly available on registry
March 16, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 5, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
January 5, 2022
CompletedApril 30, 2021
April 1, 2021
3 months
March 14, 2021
April 29, 2021
Conditions
Outcome Measures
Primary Outcomes (1)
"Skylark" Pulse Analysis System
That is, after measuring the pulse waves at different positions and depths of the bilateral radial arteries, by using the pulse diagnostic instrument, to initial signal processing and to get a single pulse. Then Fourier transformation is performed to obtain the magnitude and phase parameters of the 12 harmonics (24 variables in total), and then extract 7 time-domain characteristic parameters of a single pulse. The next step to perform Fourier transformation again using the 6-second pulse waves to obtain high and low frequency spectrum by using above parameters. The feature parameters obtained by the above two analysis methods are simultaneously sent to the deep learning-convolution neuron network (CNN) training.
6 second
Eligibility Criteria
"Sub-healthy state" is defined as a condition where there is no illness but unhealthy. It causes abnormal psychological and physiological changes under internal and external environmental stimulation, but it has not yet reached the level of obvious pathological response.
You may qualify if:
- People who do not have a clear diagnosis of chronic diseases by Western medicine
You may not qualify if:
- Western medicine confirms the diagnosis of chronic diseases, such as high blood pressure, diabetes, chronic hepatitis, chronic kidney disease, chronic hyperlipidemia, coronary heart disease, etc.
- There is a clear diagnosis of mental illness by Western medicine
- Cancer patients
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Center for Traditional Medicine, Taipei Veterans General Hospital
Taipei, 112, Taiwan
Study Officials
- STUDY DIRECTOR
Yen-Ying Yen-Ying, MD
Taipei Veterans General Hospital Center for Traditional Medicine
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- OTHER
- Sponsor Type
- OTHER GOV
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 14, 2021
First Posted
March 16, 2021
Study Start
February 17, 2021
Primary Completion
May 5, 2021
Study Completion
January 5, 2022
Last Updated
April 30, 2021
Record last verified: 2021-04