Electronic Six-Image Pulse Diagnosis for TCM Syndrome Identification in Sleep Disorders (SIP-TCM)
From Experience to Evidence: Large-Sample Quantitative Modeling of the Six-Image Pulse Framework Using a Modern Pulse Diagnostic Device and Its Performance in TCM Syndrome Identification
Przegląd badań
Status
Szczegółowy opis
This study was conducted at the Integrated Traditional Chinese and Western Medicine Hospital of Southern Medical University. It was designed as a prospective, single-center, observational diagnostic accuracy study to explore the relationship between objective pulse diagnostic parameters and traditional Chinese medicine syndrome differentiation in patients with sleep disorders.
Eligible participants were adult patients with sleep disorders who were able to complete pulse examination and questionnaire assessment and who provided written informed consent. Patients with acute disease, severe organic cardiovascular disease, anatomical abnormalities of the radial artery, pregnancy, or other conditions unsuitable for pulse signal acquisition were excluded.
Each participant completed a standardized Six-Image Symptom Questionnaire developed according to the traditional Chinese medicine zang-fu image framework. The questionnaire covered six functional image domains, including heart, liver, spleen, lung, kidney, and San Jiao or mingmen-related domains. Expert traditional Chinese medicine syndrome differentiation was independently performed by two senior traditional Chinese medicine physicians. If disagreement occurred, a third senior expert adjudicated the final predominant syndrome, which served as the reference standard.
Pulse signals were acquired using the KY-M-A1 three-dimensional electronic pulse diagnostic system. Bilateral pulse signals were collected from the cun, guan, and chi positions, yielding six pulse sites in total. Participants rested quietly before acquisition, and pulse signals were recorded under standardized conditions. The system extracted pulse waveform parameters, including pulse amplitude-related indices, to construct a Six-Image pulse vector.
The primary analysis evaluates pulse-syndrome concordance by comparing the Six-Image pulse vector with the symptom-based Six-Image vector using cosine similarity. Higher similarity values indicate stronger agreement between pulse-derived features and symptom-based syndrome domains. Expert-determined traditional Chinese medicine syndrome classification is used as the reference standard. Secondary analyses include the diagnostic consistency between instrument-based syndrome differentiation and expert assessment, as well as receiver operating characteristic curve analysis to evaluate the discriminatory performance of the electronic pulse diagnostic system.
Typ studiów
Zapisy (Rzeczywisty)
Kontakty i lokalizacje
Lokalizacje studiów
-
-
Guangdon
-
Guangzhou, Guangdon, Chiny, 510000
- Integrated Traditional Chinese and Western Medicine Hospital of Southern Medical University
-
-
Kryteria uczestnictwa
Kryteria kwalifikacji
Wiek uprawniający do nauki
- Dorosły
- Starszy dorosły
Akceptuje zdrowych ochotników
Metoda próbkowania
Badana populacja
Opis
Inclusion Criteria:
- Age between 18 and 75 years, regardless of sex.
- Confirmed diagnosis of sleep disorder with relatively stable symptoms.
- Ability to complete electronic pulse examination and questionnaire assessment.
- Provision of written informed consent.
Exclusion Criteria:
- Acute phase of disease.
- Severe organic cardiovascular disease, such as severe arrhythmia or heart failure.
- Anatomical abnormalities of the radial artery or difficulty in pulse signal acquisition.
- Pregnancy.
- Other conditions considered unsuitable for pulse data acquisition by the investigators.
Plan studiów
Jak projektuje się badanie?
Szczegóły projektu
Kohorty i interwencje
Grupa / Kohorta |
Interwencja / Leczenie |
|---|---|
|
Patients With Sleep Disorders
Adult patients with sleep disorders who provided written informed consent and underwent standardized Six-Image symptom questionnaire assessment, expert traditional Chinese medicine syndrome differentiation, and bilateral cun, guan, and chi pulse signal acquisition using the KY-M-A1 three-dimensional electronic pulse diagnostic system.
No treatment intervention was assigned in this observational diagnostic accuracy study.
|
All participants underwent bilateral cun, guan, and chi pulse signal acquisition using the KY-M-A1 three-dimensional electronic pulse diagnostic system.
The diagnostic test was used to obtain six-position pulse parameters and construct a Six-Image pulse vector for comparison with symptom-based Six-Image vectors and expert traditional Chinese medicine syndrome classification.
No treatment intervention was assigned in this observational diagnostic accuracy study.
Inne nazwy:
All participants underwent expert traditional Chinese medicine syndrome differentiation based on symptom profiles, tongue assessment, pulse palpation, and clinical evaluation.
Syndrome differentiation was independently performed by two senior traditional Chinese medicine physicians.
In cases of disagreement, a third senior expert adjudicated the final predominant syndrome.
The expert-determined syndrome classification served as the reference standard for evaluating the diagnostic performance of the electronic pulse diagnostic system.
Inne nazwy:
|
Co mierzy badanie?
Podstawowe miary wyniku
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
|
Pulse Amplitude Index at the Six Pulse Positions
Ramy czasowe: At the baseline study assessment visit
|
The Pulse Amplitude Index was derived from pulse signals acquired by the KY-M-A1 three-dimensional electronic pulse diagnostic system at the bilateral cun, guan, and chi positions.
Pulse Amplitude Index values from the six pulse positions were used to objectively characterize pulse wave amplitude distribution and construct the Six-Image pulse vector.
|
At the baseline study assessment visit
|
|
Pulse-Syndrome Concordance Assessed by Cosine Similarity
Ramy czasowe: At the baseline study assessment visit
|
Pulse-syndrome concordance was quantified using cosine similarity between the Six-Image pulse vector derived from electronic pulse diagnostic parameters and the Six-Image symptom vector derived from structured traditional Chinese medicine symptom assessment.
The similarity score ranges from 0 to 1, with higher values indicating greater concordance between pulse-derived features and symptom-based syndrome domains.
|
At the baseline study assessment visit
|
|
Diagnostic Consistency Between Electronic Pulse Diagnosis and Expert TCM Syndrome Differentiation
Ramy czasowe: At the baseline study assessment visit
|
Diagnostic consistency was evaluated by comparing instrument-based syndrome differentiation with expert-determined traditional Chinese medicine syndrome classification.
Expert syndrome differentiation served as the reference standard.
Consistency was assessed using sensitivity, specificity, and overall accuracy.
|
At the baseline study assessment visit
|
Miary wyników drugorzędnych
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
|
Area Under the Receiver Operating Characteristic Curve for Electronic Pulse Diagnosis
Ramy czasowe: At the baseline study assessment visit
|
Receiver operating characteristic curve analysis was performed to evaluate the discriminatory performance of pulse-syndrome concordance and instrument-based syndrome classification.
The area under the curve was calculated to quantify overall diagnostic discrimination.
|
At the baseline study assessment visit
|
|
Six-Image Pulse Distribution Patterns
Ramy czasowe: At the baseline study assessment visit
|
Six-Image radar plots and distribution heat maps were used to visualize Pulse Amplitude Index patterns across the six pulse positions and to characterize pulse distribution patterns corresponding to different traditional Chinese medicine syndrome domains.
|
At the baseline study assessment visit
|
|
Case-Based Six-Position Pulse Map Characteristics
Ramy czasowe: At the baseline study assessment visit
|
Representative case-level Six-Image pulse maps were generated using Pulse Amplitude Index values from the six pulse positions to illustrate the individualized application of electronic pulse diagnosis in traditional Chinese medicine syndrome differentiation.
|
At the baseline study assessment visit
|
Współpracownicy i badacze
Daty zapisu na studia
Główne daty studiów
Rozpoczęcie studiów (Rzeczywisty)
Zakończenie podstawowe (Rzeczywisty)
Ukończenie studiów (Rzeczywisty)
Daty rejestracji na studia
Pierwszy przesłany
Pierwszy przesłany, który spełnia kryteria kontroli jakości
Pierwszy wysłany (Rzeczywisty)
Aktualizacje rekordów badań
Ostatnia wysłana aktualizacja (Rzeczywisty)
Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości
Ostatnia weryfikacja
Więcej informacji
Terminy związane z tym badaniem
Słowa kluczowe
Dodatkowe istotne warunki MeSH
Inne numery identyfikacyjne badania
- SMUIMH-PULSE-202310K1
Plan dla danych uczestnika indywidualnego (IPD)
Planujesz udostępniać dane poszczególnych uczestników (IPD)?
Opis planu IPD
No individual participant data will be shared publicly. The study dataset includes participant-level clinical information, traditional Chinese medicine symptom questionnaire data, expert syndrome differentiation results, and electronic pulse signal parameters. These data were collected under institutional ethics approval and written informed consent for the present study, and public or external sharing of individual participant data was not included in the consent materials.
Requests for de-identified aggregate data or additional methodological information may be directed to the principal investigator, Mingpeng Luo, at 872462051@qq.com. Any data access request will be reviewed by the study team and will be subject to institutional policy and ethics committee approval.
Informacje o lekach i urządzeniach, dokumenty badawcze
Bada produkt leczniczy regulowany przez amerykańską FDA
Bada produkt urządzenia regulowany przez amerykańską FDA
Te informacje zostały pobrane bezpośrednio ze strony internetowej clinicaltrials.gov bez żadnych zmian. Jeśli chcesz zmienić, usunąć lub zaktualizować dane swojego badania, skontaktuj się z register@clinicaltrials.gov. Gdy tylko zmiana zostanie wprowadzona na stronie clinicaltrials.gov, zostanie ona automatycznie zaktualizowana również na naszej stronie internetowej .