The Study of Slip Pulse Feature Extraction Method Based on the Image Processing Technology for Traditional Chinese Medicine
NCT ID: NCT04392687
Last Updated: 2020-05-19
Study Results
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Basic Information
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UNKNOWN
60 participants
OBSERVATIONAL
2018-04-06
2021-04-30
Brief Summary
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However, the pulse information is analyzed by TCM doctor's pulse diagnoses process, which is picked only a single waveform from a long-term pulse measured process and often discarded the other waveforms contained in the same information, e.g. Slippery Pulse waveform. The research object of this project is to divide the TCM diagnosis patients into two groups, one is the Slippery Pulse group and the other is a Normal Pulse group, in which 30 cases are collected in each group. The purpose of this project will integrate the TCM doctor's experiences and standardize them in order to construct an effective Slippery Pulse diagnosis system. It could refine Slippery Pulse diagnoses processes and reduce their diagnoses loading by using the proposed approach during this project. Therefore, we could carry out the research on feature extraction method of Slippery Pulse based on the image processing technology. We could extract the pulse characteristics of Slippery Pulse automatically from the many measurement signals and improve the automatic judging ability of the current pulse instrument to the Slippery pulse waveform. Provide important pulse information to the TCM doctors as an important reference for clinical diagnoses.
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
2. More than 20-year-old.
Exclusion Criteria
2. Allergic to acupuncture needles.
20 Years
ALL
No
Sponsors
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China Medical University Hospital
OTHER
Responsible Party
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Locations
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China Medical University Hospital
Taichung, North District, Taiwan
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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CMUH107-REC2-050
Identifier Type: -
Identifier Source: org_study_id
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