NCT06973317

Brief Summary

The goal of this observational study is to evaluate the performance of a novel, non-invasive sensor device based on zirconium oxide photodetector designed to monitor key physiological parameters: blood glucose levels, heart rate, and blood oxygen saturation. The study focuses on adult hospital patients aged 18 to 75, of all sexes, who are undergoing routine monitoring and treatment unrelated to the investigational device. The main questions this study aims to answer are: To what extent do the signals obtained from the newly developed device correlate with standard hospital-based methods for measuring blood glucose, heart rate, and blood oxygen saturation? Is the device feasible, safe, and accurate for use in a real-world clinical setting? How stable and reproducible are the sensor signals across a demographically diverse patient population? Can advanced data analysis methods, such as machine learning techniques, be used effectively to interpret the device's output and provide accurate estimates of glucose concentration? What is the user perception of comfort, safety, and practicality when the device is used in a routine hospital environment? This study will not assign any interventions to participants; it is purely observational. The novel device is non-invasive, and its use will not interfere with standard clinical care. Measurements will be taken passively or concurrently with routine care procedures. Participants will: Continue to receive standard clinical care, including conventional monitoring of glucose, heart rate, and oxygen saturation. Undergo additional measurements using the investigational device, which will be placed non-invasively on the skin (finger). Answer a short usability questionnaire assessing their experience with the device, including any discomfort, perceived safety, or ease of use. Data obtained from the device will be compared with routine clinical data from standard hospital devices (e.g., glucometers, pulse oximeters) to evaluate accuracy and reliability. No pharmacological, radiological, or invasive procedures will be involved.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
200

participants targeted

Target at P75+ for all trials

Timeline
18mo left

Started Jun 2027

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 5, 2025

Completed
10 days until next milestone

First Posted

Study publicly available on registry

May 15, 2025

Completed
2 years until next milestone

Study Start

First participant enrolled

June 1, 2027

Expected
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 1, 2028

9 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2028

Last Updated

July 10, 2025

Status Verified

May 1, 2025

Enrollment Period

9 months

First QC Date

May 5, 2025

Last Update Submit

July 4, 2025

Conditions

Keywords

Non-invasive monitoringPhotoplethysmography (PPG)Machine learningMedical devicesglucose

Outcome Measures

Primary Outcomes (1)

  • Evaluation of a Non-Invasive Device for Measuring Blood Glucose, Heart Rate, and Oxygen Saturation

    To evaluate the correlation between the signals obtained from the newly developed non-invasive device and standard hospital-based methods for measuring blood glucose levels, heart rate, and blood oxygen saturation. The primary aim is to assess the feasibility, signal stability, and potential accuracy of the investigational device in a clinical setting.

    8 months

Secondary Outcomes (3)

  • User-friendliness and Practical Usability of the Device in Routine Hospital Procedures

    8 months

  • Variability of Device Readings Across a Demographically Diverse Adult Population

    8 months

  • Applying Machine Learning to Interpret Non-Invasive PPG Signals for Glucose Estimation

    12 months

Eligibility Criteria

Age18 Years - 75 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The populaiton studied will be patients at the Department of Endocrinology, Diabetology and Internal Medicine at the T. Marciniak Lower Silesian Specialist Hospital in Wrocław

You may qualify if:

  • Adults aged 18-75 years
  • Able to provide informed consent

You may not qualify if:

  • Skin diseases or injuries on the fingers (e.g., psoriasis, open wounds, burns)
  • Tattoos on the fingers
  • Severe peripheral circulation disorders
  • Pregnancy
  • Presence of active implantable medical devices (e.g., pacemakers)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Department of Endocrinology, Diabetology and Internal Medicine at the T. Marciniak Lower Silesian Specialist Hospital in Wrocław

Wroclaw, Lower Silesian Voivodeship, 54-049, Poland

Location

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

May 5, 2025

First Posted

May 15, 2025

Study Start (Estimated)

June 1, 2027

Primary Completion (Estimated)

March 1, 2028

Study Completion (Estimated)

December 1, 2028

Last Updated

July 10, 2025

Record last verified: 2025-05

Locations