Assessment of Remote Vital Signs for Telemedicine Applications

Telemedicine Clinical Trial

Official title:

Assessment of Remote Vital Signs for Telemedicine Applications

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT04820387
• Other study ID #: IRB00252571
• Status: Active, not recruiting
• Start date: April 20, 2021
• Est. completion date: September 2025

Study information

• Verified date: February 2024
• Source: Johns Hopkins University
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

The purpose of this study is to determine whether vital signs can be extracted from video. A secondary purpose is to create a database, including raw video, of "ground truth" physiological data on human subjects in order to test current and/or future approaches developed to extract vital signs from video. This research may have an immediate impact on not only the assessment of risk for COVID-19 but also may provide a significant technological enhancement to Johns Hopkins Medicine's telemedicine capabilities.

Description:

The purpose of this study is to determine whether vital signs can be extracted from video. A secondary purpose is to create a database, including raw video, of "ground truth" physiological data on human subjects in order to test current and/or future approaches developed to extract vital signs from video. This research may have an immediate impact on not only the assessment of risk for COVID-19 but also may provide a significant technological enhancement to JHM's telemedicine capabilities. Participants may be asked to: - Complete surveys that include basic questions about participant, participant's personality, and participant's level of fitness. Participants will not be required to complete any of the surveys if participant does not feel comfortable doing so. - Provide a subjective assessment of whether participant feels physically well enough to participate in this experiment. If participant does not feel well on a particular day and wish to participate, the research team can schedule the participant for an alternate appointment. - Be fitted with several sensors that will measure participant's heart, participant's skin, participant's breathing, or other aspects of how participant's body is working. The sensors may be placed on participant's collarbone, below participant's ribs, on each forearm, on each ankle, and/or on participant's fingers using small stickers, medical tape, or similar means. The investigators may allow participants to place the sensors themselves under the supervision of a research team member or have the sensors placed for participants. If participant prefers, a research team member of the same sex will be available to assist sensor placement. The investigators may also place stickers or use non-permanent marker on participant's face to create clear reference points in the video. - Complete cognitive tasks that involve viewing simple items on the screen (such as colors, shapes, letters, words, or sentences), then making decisions, such as deciding whether to press a button, whether each item matches an earlier item, or whether to remember the item or not based on a simple rule. - Complete light to moderate exercise, such as pedaling on a stationary bicycle. The investigators will measure participant's resting heart rate, and then set a target heart rate of 20% higher for light exercise and 40% higher for moderate exercise. The American Heart Association defines moderate exercise as 50-70% of participant's maximum heart rate, which is estimated based on participant's age. To ensure a safe limit on participant's heart rate, the investigators will check that participant's target heart rates do not exceed 70% of participant's maximum estimated heart rate. If participants have health concerns about the level of exertion required, please discuss those concerns with the physician to determine whether it would be appropriate for participant to participate. Participants will only be required to make a single laboratory visit.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 94
• Est. completion date: September 2025
• Est. primary completion date: September 2024
• Gender: All
• Age group: 18 Years to 75 Years

Eligibility

Inclusion Criteria:

• Age: 18-75
• Fluent in English
• Normal or corrected-to-normal vision
• Able to participate in study activities
• Passed Johns Hopkins Medicine Outpatient Office COVID-19 screening checklist within 24 hours of study visit.

Exclusion Criteria:

• Hospitalization for heart failure, stroke or major cardiac event (myocardial infarction) within past 3 months.
• History of chest pain during exercise (angina).
• High blood pressure needing more than 1 medication for treatment.
• Blood pressure at rest exceeding systolic blood pressure (SBP) 150 millimeters of Mercury (mmHg), diastolic blood pressure (DBP) 100 mmHg.
• Heart rate at rest exceeding 100 beats per minute (bpm).
• Abnormal ECG, indwelling pacemaker or cardiac defibrillator.
• Home oxygen prescription.
• Women who or are pregnant or suspect they may be pregnant.

Related Conditions & MeSH terms

• Physiology
• Telemedicine

Locations

Country	Name	City	State
United States	Johns Hopkins Asthma & Allergy Center	Baltimore	Maryland

Sponsors (1)

Lead Sponsor	Collaborator
Johns Hopkins University

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Quantification of SpO2 (percentage) from video	The principal outcome is the capability to calculate a reliable and clinically useful measure of blood oxygenation from video. Our objective is to quantify SpO2 from video within +/- 0.5% from clinical standard.	3 years
Secondary	Clinical quality data obtained via contact sensors	Develop a comprehensive dataset of ground truth physiological signals along with multiple standoff sensors against which to test current/future physiological extraction algorithms. The contact sensors will include blood pressure (BP), pulse oximetry (SpO2), photoplethysmography (PPG), respiration rate (RR), and electrocardiogram (ECG). The standoff sensors will collect still and moving images using an infrared (IR) sensor, hyperspectral imager (HSI), and multiple red-green-blue (RGB) cameras.; The dataset will be subjected to various advanced statistical analyses, to include machine learning approaches, to determine the accuracy (both in value and waveform) of algorithmic approaches to remote physiological measures. The long-term goal is to extract clinically useful physiological signals from video in order to provide a physician greater insight to the physiological functioning and/or psychophysiological state of the patient.	3 years