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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04661605
Other study ID # CMUH109-REC2-159
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date December 2020
Est. completion date December 2021

Study information

Verified date December 2020
Source China Medical University Hospital
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The diagnoses processes of Traditional Chinese Medicine (TCM) focus on the following four main types of diagnoses methods consisting of inspection, olfaction, inquiry, and palpation. The most important one is palpation also called pulse diagnosis which is to measure wrist artery pulse by TCM doctor's fingers to detect patient's health state. The pulse diagnosis has three parts, namely 'Chun', 'Guan' and 'Chy', with the location. Wrist measurements correspond to different parts of the body's organs. 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. Slip Pulse waveform. The research object of this project is to divide the TCM diagnosis patients into two groups, one is the Slip pulse group and the other is a Flat Pulse group, in which the cases are collected at least 50 cases for the first gruop and 30 cases for the second group, individually. The purpose of this project will integrate the TCM doctor's experiences and standardize them in order to construct an effective Slip pulse diagnosis system based on visualization engineering platform. It could refine Slip pulse diagnoses processes and reduce their diagnoses loading by using the proposed approach during this project. Therefore, we will propose a similar Moiré feature analyzing approach based on Recurrent Neural Network to process the measured Slip Pulse wave-images with 'Chun', 'Guan' and 'Chy' in order to prepare this visualization engineering platform. We will measure the waveform images of the three parts of the wrist as 'Chun', 'Guan' and 'Chy' with the moiré feature technology proposed in this project. It mainly extracts the moiré features such as pulse image from numerous measurement 'Chun', 'Guan' and 'Chy' signals, and further analyzes and summarizes them with AI technology. We could extract the pulse characteristics of Slip pulse automatically from the many measurement signals and enhance the automatic judging ability of the current pulse instrument to the Slip pulse waveform. Provide important pulse information to the TCM doctors as an important reference for precision clinical diagnoses.


Recruitment information / eligibility

Status Recruiting
Enrollment 80
Est. completion date December 2021
Est. primary completion date December 2021
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 20 Years to 90 Years
Eligibility Inclusion Criteria: 1. Already sign test consent permit. 2. More than 20-year-old. Exclusion Criteria: 1. There is a wound or inflammation at the wrist skin measurement.

Study Design


Related Conditions & MeSH terms


Intervention

Diagnostic Test:
Recurrent Neural Network
We will propose a similar Moiré feature analyzing approach based on Recurrent Neural Network to process the measured Slip Pulse wave-images with 'Chun', 'Guan' and 'Chy' in order to prepare this visualization engineering platform.

Locations

Country Name City State
Taiwan China Medical University Hospital Taichung North District

Sponsors (1)

Lead Sponsor Collaborator
China Medical University Hospital

Country where clinical trial is conducted

Taiwan, 

Outcome

Type Measure Description Time frame Safety issue
Primary Slippery Pulse 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. 30 minutes in duration
See also
  Status Clinical Trial Phase
Recruiting NCT05630248 - Visualization Engineering Platform for TCM Pulse Diagnosis - Pulse Diagnosis Based on Federated Learning to Diagnose Slippery and Choppy and Other Pulses Waveform Image Features to Assist in the Study of TCM Pathological Logic Analysis