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Идёт набор NCT07473687

Feasibility Study of Non-Contact Imaging-Based Physiological Monitoring in the Operating Room

Наблюдательное Cholecystitis Liver Neoplasms Cholelithiasis Inguinal Hernia

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают
В протоколе указаны: Non-contact rPPG software.
Кому может быть актуально
Состояния в реестре: Cholecystitis, Liver Neoplasms, Cholelithiasis, Inguinal Hernia. Базовые параметры: от 18 лет · Все.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
Тайвань
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →

Обзор

This study aims to evaluate the feasibility and accuracy of a non-contact, camera-based physiological monitoring technology in a perioperative setting (including anesthesia induction, surgery, and recovery).Conventional vital sign monitoring tools-such as ECG leads, blood pressure cuffs, and pulse oximeters-require direct skin contact, which may pose risks of cross-infection or skin injury in vulnerable populations (e.g., newborns or elderly patients). This research utilizes remote Photoplethysmography (rPPG) technology to estimate vital signs, including heart rate, blood pressure, and blood oxygen saturation (SpO2), by analyzing facial video captured via standard camera devices (Logitech C930, iPhone 16 Pro Max, and Samsung Galaxy S24 Ultra).The primary goal is to assess the consistency and stability of this non-contact system compared to clinical gold-standard monitors (Masimo Root, SedLine O3, and Radical-7) during actual surgical procedures. The findings will serve as a foundation for developing non-invasive, supplementary monitoring tools in dynamic clinical environments.

Подробное описание

Background and Rationale:

Perioperative vital sign monitoring is crucial for patient safety. However, current standard-of-care tools are predominantly contact-based or invasive. These devices can cause discomfort, limit patient mobility, and potentially damage fragile skin. While various non-contact sensing technologies (e.g., radar, thermal imaging) have been researched, high costs and poor adaptability to dynamic clinical settings have limited their routine use. Our team has previously validated a camera-based rPPG algorithm in clinical environments; this study seeks to further evaluate its feasibility within the rigorous conditions of an operating room (OR).

Study Objectives:

To evaluate the accuracy and consistency of a non-contact video monitoring system in measuring heart rate, blood pressure, and SpO2 across different surgical phases (pre-operative, intra-operative, and post-operative).To optimize algorithms using multi-point clinical data to enhance system robustness in dynamic surgical environments. To explore the potential of rPPG technology as a supplementary or alternative monitoring solution for patients unsuitable for traditional contact-based sensors.

Methodology:

This is a feasibility study conducted in a perioperative clinical environment. Participants will undergo simultaneous monitoring by two systems without interference with routine medical care:

1. Investigational Device (Non-contact): A software module utilizing rPPG technology installed on multiple platforms (Logitech C930 with Windows Laptop, iPhone 16 Pro Max, and Samsung Galaxy S24 Ultra). These devices capture facial video via front-facing cameras to calculate physiological parameters non-invasively. 2. Reference Standard (Clinical Monitors): The Masimo Root monitoring platform, equipped with SedLine O3 regional oximetry and Radical-7 pulse oximetry, will provide the benchmark physiological data.

Data Analysis:

The estimated physiological parameters from the non-contact software will be compared with the synchronized data from the Masimo Root system. Statistical analysis will focus on the correlation and limits of agreement between the two methods to determine the technical feasibility for future clinical translation.

Вмешательства

  • Устройство Non-contact rPPG software
    A non-invasive, video-based software utilizing remote Photoplethysmography (rPPG) technology to estimate heart rate, blood pressure, and SpO2 by analyzing facial video captured via camera-enabled devices.

Первичные конечные точки

  • Accuracy of Heart Rate (HR) monitoring [Срок оценки: From anesthesia induction to recovery (approximately 2-6 hours).]
  • Success rate of Systolic Blood Pressure (SBP) monitoring [Срок оценки: From anesthesia induction to recovery (approximately 2-6 hours).]
  • Success rate of Diastolic Blood Pressure (DBP) monitoring [Срок оценки: From anesthesia induction to recovery (approximately 2-6 hours).]
  • Success rate of Oxygen Saturation (SpO2) monitoring [Срок оценки: From anesthesia induction to recovery (approximately 2-6 hours).]
Вторичные конечные точки (2)
  • Mean Absolute Error (MAE) of Heart Rate (HR) across hardware platforms [Срок оценки: During the intraoperative phase (duration of the surgical procedure, approximately 2-6 hours).]
  • Mean Absolute Error (MAE) of Blood Pressure (SBP and DBP) across hardware platforms [Срок оценки: During the intraoperative phase (duration of the surgical procedure, approximately 2-6 hours).]

Критерии участия

Критерии включения

  • Patients aged >18 years.
  • Patients scheduled to undergo surgical procedures under general anesthesia.
  • American Society of Anesthesiologists (ASA) Physical Status I, II, or III.

Критерии исключения

  • Patients aged < 18 years.
  • Pregnant patients.
  • Patients whose facial images cannot be captured or recognized (e.g., due to surgical drapes, severe edema, or major trauma).
  • Patients who refuse to participate or have not signed the informed consent form.
  • Other cases deemed unsuitable for the study by the clinical physician or anesthesiologist.

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Модель наблюдения
Когортное

Центры проведения

Тайвань · 1 центр
  • Department of Anesthesiology, Taipei Veterans General Hospital — Taipei

Публикации

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  • Xing L, Dai W, Zhang Y. Scheimpflug Camera-Based Technique for Multi-Point Displacement Monitoring of Bridges. Sensors (Basel). 2022 May 27;22(11):4093. doi: 10.3390/s22114093. PMID 35684714
  • Garcia-Fontana C, Corral Lugo A, Krell T. Specificity of the CheR2 methyltransferase in Pseudomonas aeruginosa is directed by a C-terminal pentapeptide in the McpB chemoreceptor. Sci Signal. 2014 Apr 8;7(320):ra34. doi: 10.1126/scisignal.2004849. PMID 24714571
  • Mismetti P, Rivron-Guillot K, Moulin N. [Vena cava filters and treatment of venous thromboembolism in cancer patients]. Pathol Biol (Paris). 2008 Jun;56(4):229-32. doi: 10.1016/j.patbio.2008.03.002. Epub 2008 May 5. French. PMID 18456434
  • Wallach JB, McGarry T, Torres J. Lymphangitic metastasis of recurrent renal cell carcinoma to the contralateral lung causing lymphangitic carcinomatosis and respiratory symptoms. Curr Oncol. 2011 Jan;18(1):e35-7. doi: 10.3747/co.v18i1.647. PMID 21331270
  • Lee KJ, Liu S, Parmigiani F, Ibsen M, Petropoulos P, Gallo K, Richardson DJ. OTDM to WDM format conversion based on quadratic cascading in a periodically poled lithium niobate waveguide. Opt Express. 2010 May 10;18(10):10282-8. doi: 10.1364/OE.18.010282. PMID 20588881
  • Wada M, Hara H, Nakamura M. A change in the pattern of vasospasm after stenting in a patient with vasospastic angina. Heart Vessels. 2006 Nov;21(6):388-91. doi: 10.1007/s00380-006-0920-6. Epub 2006 Nov 27. PMID 17143717

Идентификаторы

NCT: NCT07473687 · 2025-07-019CC

Первоисточники (государственные реестры)

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