Slippery PulseNCT05630248
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
An observational study of Slippery Pulse and Choppy Pulse, run by China Medical University Hospital at 1 site in Taiwan.
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. Read more about this study
- Who is it for?
- Ages 20 to 90 yearsHealthy volunteers can take part
- Conditions the study is for
- Slippery Pulse, Choppy Pulse
- What is being tested?
- Recurrent Neural Network
- How many people
- 240 participants
- Where
- 1 siteTaiwan
- Study dates
- Dec 2022to Sep 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 to 90 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: outpatient
Who may be able to join
- Already sign test consent permit.
- More than 20-year-old.
Who cannot join
- 1. There is a wound or inflammation at the wrist skin measurement.
Trial locations and contacts
1 site in 1 country.
Taiwan1 site, 1 recruiting
- Recruiting
China Medical University Hospital
Taichung, North District, 40447
Ching-Liang Hsieh, Ph.D, +886-4-22053366 ext. 3127, clhsieh@mail.cmuh.org.tw
About this study
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. In this project, it is to classify pulse types by using specialized pulse measuring instruments. The measured pulse wave (Measured Pulse Wave, MPW) was segmented into arterial pulse wave curves (APWC) by the image suggestion method. The research object of this project is to collect and group patients diagnosed by traditional Chinese medicine practitioners, namely slippery pulse, choppy pulse group and normal pulse control group, with at least 80 cases for each group. The research purpose of this project is mainly to carry out the visualization engineering platform of TCM pulse diagnosis - based on the pulse diagnosis of federated learning to diagnose the pulse waveform image features such as slippery pulse and choppy pulse to provide auxiliary TCM pathological logic analysis research and back-end cross-federal learning of TCM pulse diagnosis Implementation of the node system. In other words, it is expected that the pulse wave characteristics measured by TCM physicians who cooperate with experts in the field can be collected from many TCM pulse diagnosis federated learning nodes, and analyzed by the Multiple-Expert Repertory Grid Elicitation (MERGE) method. Finally, the artificial intelligence model based on FL is trained to carry out TCM pathological logic analysis and related research. The results will be provided to TCM physicians as an important reference to assist clinical diagnosis.
- Conditions
- Slippery Pulse, Choppy Pulse
- Being tested
- Recurrent Neural Network
- Keywords
- Artificial intelligence, Recurrent Neural Network, Wrist artery pulse diagnosis instrument, TCM pulse diagnosis, Feature extraction
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Recurrent Neural NetworkDiagnostic test
it is to classify pulse types by using specialized pulse measuring instruments.
What is being measured
The primary outcome is the main question the study is designed to answer.
Slippery Pulse
The purpose of the study was to establish a scientific slippery pulse diagnosis system
Measured: 30 minutes in duration
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted29 Nov 2022
- Study startDec 2022 (estimated)
- Primary completionSep 2024 (estimated)
- Study completionSep 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Slippery PulseStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Prospective
- Enrolment
- 240 participants (estimated)
Sponsor and investigators
- Lead sponsor
- China Medical University Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05630248
- Sponsor's protocol ID
- CMUH111-REC2-168
- Status last verified
- Dec 2022
- First submitted
- 20 Nov 2022
- Last updated
- 6 Dec 2022
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 6 Dec 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT05630248
- Acronym / sponsor ID
- CMUH111-REC2-168
- Conditions
- Slippery Pulse, Choppy Pulse
- Keywords
- Artificial intelligence, Recurrent Neural Network, Wrist artery pulse diagnosis instrument, TCM pulse diagnosis, Feature extraction
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 240 participants (estimated)
- Lead sponsor
- China Medical University HospitalUniversity, hospital or other
- Study start
- Dec 2022 (estimated)
- Primary completion
- Sep 2024 (estimated)
- Study completion
- Sep 2024 (estimated)
- First posted
- 29 Nov 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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. In this project, it is to classify pulse types by using specialized pulse measuring instruments. The measured pulse wave (Measured Pulse Wave, MPW) was segmented into arterial pulse wave curves (APWC) by the image suggestion method. The research object of this project is to collect and group patients diagnosed by traditional Chinese medicine practitioners, namely slippery pulse, choppy pulse group and normal pulse control group, with at least 80 cases for each group. The research purpose of this project is mainly to carry out the visualization engineering platform of TCM pulse diagnosis - based on the pulse diagnosis of federated learning to diagnose the pulse waveform image features such as slippery pulse and choppy pulse to provide auxiliary TCM pathological logic analysis research and back-end cross-federal learning of TCM pulse diagnosis Implementation of the node system. In other words, it is expected that the pulse wave characteristics measured by TCM physicians who cooperate with experts in the field can be collected from many TCM pulse diagnosis federated learning nodes, and analyzed by the Multiple-Expert Repertory Grid Elicitation (MERGE) method. Finally, the artificial intelligence model based on FL is trained to carry out TCM pathological logic analysis and related research. The results will be provided to TCM physicians as an important reference to assist clinical diagnosis.
Study design
- Observational model
- Other
- Time perspective
- Prospective
Who may qualify
- Ages
- 20 to 90 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- outpatient
Key inclusion criteria (2 listed)
- Already sign test consent permit.
- More than 20-year-old.
Key exclusion criteria (1 listed)
- 1. There is a wound or inflammation at the wrist skin measurement.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Recurrent Neural Networkit is to classify pulse types by using specialized pulse measuring instruments. | Diagnostic test | – |
Primary outcome
Slippery Pulse
Time frame: 30 minutes in duration
The purpose of the study was to establish a scientific slippery pulse diagnosis system
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 Dec 2022.
- Individual participant dataSharing planned: No
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Slippery Pulse and Choppy Pulse, run by China Medical University Hospital at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 6 Dec 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Ching-Liang Hsieh, Ph.D (+886-4-22053366 ext. 3127, clhsieh@mail.cmuh.org.tw), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Slippery Pulse (time frame: 30 minutes in duration). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 Dec 2022.