- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07466056
Application of Non-inductive Intelligent Physical Sign Monitoring Equipment Based on Flexible Electronic Devices in the Diagnosis and Treatment of Cardiovascular Diseases
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
In the diagnosis, treatment, and rehabilitation of cardiovascular diseases, accurate monitoring of key physiological signs provides the fundamental basis for clinicians to assess patient status and formulate treatment strategies. Traditional monitoring instruments used to acquire physiological data, such as electrocardiogram (ECG) monitors and polysomnography systems, require physical connections through electrode leads or ECG patches, which may increase patient discomfort and the risk of adverse events. Therefore, the development of monitoring devices with non-invasive and multi-parameter sensing capabilities is of significant importance for clinical care, nursing practice, and long-term health management.
This project focuses on the development and clinical evaluation of a non-invasive intelligent monitoring device for human physiological signals. The device is designed in the form of a mattress installed on a conventional hospital bed to enable real-time, accurate, continuous, and non-invasive monitoring of important physiological parameters in cardiovascular patients, including heart rate, respiration, body temperature, and body posture. Monitoring data will be integrated with hospital information systems and patient-side digital platforms to support clinical decision-making, disease management, and remote health monitoring.
A clinical evaluation will be conducted prior to product commercialization to determine whether the monitoring performance of the mattress-based system is non-inferior to that of conventional bedside ECG monitoring systems. Large-scale, long-term, and continuous physiological data from cardiovascular patients will be collected and analyzed in real-world clinical settings. Advanced technologies, including artificial intelligence and cloud-based data processing, will be applied to store, analyze, and interpret physiological signals. These data will enable the generation of personalized health monitoring reports and corresponding clinical recommendations.
The results of this study are expected to provide essential clinical evidence supporting the development and industrialization of the non-invasive intelligent monitoring system. In addition, the study will generate key data required for device research and development, quality control standards, regulatory evaluation, and medical device registration certification, ultimately facilitating the stepwise translation of the technology into clinical practice.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Liu He, PhD.
- Phone Number: +86 138-1072-0787
- Email: theliu@139.com
Study Locations
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China
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Beijing, China, China, 100029
- Recruiting
- Beijing Anzhen Hospital, Capital Medical University
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Principal Investigator:
- Ning Zhou, Prof.
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Contact:
- Liu He, PhD.
- Phone Number: +86 138-1072-0787
- Email: theliu@139.com
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adult inpatients (aged ≥18 years) admitted to the cardiovascular disease ward.
- Willing to sign the informed consent form in person.
- Capable of understanding and following the research instructions, as well as having the language ability to communicate and fill out the relevant questionnaires.
Exclusion Criteria:
- The patient has an allergic reaction to any materials related to the research equipment or test materials (such as traditional monitoring instruments, mattress fibers, etc.).
- There are serious diseases that require urgent medical intervention, such as hypertensive emergencies, acute myocardial infarction, acute heart failure, acute stroke, severe ventricular arrhythmias, and shock, etc.
- The patient cannot cooperate with bed rest due to their condition or mental factors.
- Severe respiratory diseases requiring mechanical assisted ventilation.
- Patients requiring assistance from other medical electronic devices or instruments (such as temporary cardiac pacemakers, bedside hemodialysis, etc.).
- The research team, after assessment, considers that there are other patients who do not meet the inclusion criteria.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Smart Mattress Monitoring Cohort
All enrolled participants with cardiovascular conditions are monitored using the investigational non-invasive smart mattress system.
The study involves two sequential phases: Validation Phase (First 100 participants): Participants undergo simultaneous monitoring by both the investigational smart mattress and a conventional reference device (e.g., bedside ECG monitor) for algorithm calibration and performance validation.
Primary Monitoring Phase (Subsequent 1000 participants): Participants are monitored solely by the calibrated smart mattress system for large-scale, continuous vital sign data collection (heart rate, respiration, temperature, posture) in a real-world clinical setting.
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The investigational intervention is a mattress-form monitoring device embedded with flexible sensing fibers and a multi-parameter data acquisition system.
It is placed atop a standard hospital bed to unobtrusively and continuously measure vital signs including heart rate, respiratory rate, body temperature, and body posture.
The device transmits data wirelessly to a secure server for real-time display, storage, and analysis via dedicated software algorithms.
In the initial validation phase (first 100 participants), its measurements are synchronously compared with those from conventional bedside monitors.
In the subsequent primary monitoring phase, it functions as the sole continuous monitoring tool.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Heart Rate and Heart Rhythm
Time Frame: For three consecutive days, from 22:00 to 07:00 each day
|
Conventional vital signs monitoring devices or smart sensors embedded in mattresses for monitoring.
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For three consecutive days, from 22:00 to 07:00 each day
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Respiratory rate
Time Frame: For three consecutive days, from 22:00 to 07:00 each day
|
Conventional vital signs monitoring devices or smart sensors embedded in mattresses for monitoring
|
For three consecutive days, from 22:00 to 07:00 each day
|
|
Temperature
Time Frame: For three consecutive days, from 22:00 to 07:00 each day
|
Conventional vital signs monitoring devices or smart sensors embedded in mattresses for monitoring
|
For three consecutive days, from 22:00 to 07:00 each day
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Ning Zhou, Prof., Beijing Anzhen Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- AnzhenKS2026005
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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