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ArticleJMIR research protocols2023

Measurement of Vital Signs by Lifelight Software in Comparison to Standard of Care Multisite Development (VISION-MD): Protocol for an Observational Study.

Laura Wiffen, Thomas Brown, Annika Brogaard Maczka, Melissa Kapoor, Laurence Pearce, Milan Chauhan, Anoop J Chauhan, Manish Saxena, Lifelight Trials Group

2 registry-linked trialsAbstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04763746 completednot on this map

The Measurement of VItal SIgns by Lifelight® Software in comparisON to the Standard of - Multi-site Development: The VISION-MD Study

TypeobservationalSponsorXim LimitedRan2021 to 2023Enrolled1,869ConditionsRespiratory Disorder, Diabetes, Cardiovascular Diseases, Critical CareArmsLifelight Data Collect Sub-protocol 1, Lifelight Data Collect Sub-protocol 2, Lifelight Data Collect Sub-protocol 3, Lifelight Data Collect Sub-protocol 4
NCT07491978 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Development and Multicenter Validation of an AI-Based Remote Photoplethysmography (rPPG) Facial Scan for Multimodal Health Assessment: Agreement With Clinical, Laboratory, and Psychological Parameters in an Urban Population

Typeobservational_patient_registrySponsorTarumanagara UniversityRan2026 to 2027Enrolled1,000ConditionsMetabolic Syndrome, Hypertension, Diabetes (DM), Tachycardia
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Laura Wiffen *Department of Research and Innovation, Queen Alexandra Hospital, Portsmouth Hospitals University NHS Trust, Portsmouth, United Kingdom.ORCID https://orcid.org/0000-0003-3688-7662
Thomas Brown *Department of Research and Innovation, Queen Alexandra Hospital, Portsmouth Hospitals University NHS Trust, Portsmouth, United Kingdom.ORCID https://orcid.org/0000-0001-7336-4719
Annika Brogaard MaczkaMind Over Matter MedTech Ltd, London, United Kingdom.ORCID https://orcid.org/0000-0002-6718-2537
Melissa KapoorMind Over Matter MedTech Ltd, London, United Kingdom.ORCID https://orcid.org/0000-0002-1811-2401
Laurence PearceXim Ltd, Southamptom, United Kingdom.ORCID https://orcid.org/0000-0001-7817-6426
Milan ChauhanDepartment of Research and Innovation, Queen Alexandra Hospital, Portsmouth Hospitals University NHS Trust, Portsmouth, United Kingdom.ORCID https://orcid.org/0000-0001-6242-4587
Anoop J ChauhanDepartment of Research and Innovation, Queen Alexandra Hospital, Portsmouth Hospitals University NHS Trust, Portsmouth, United Kingdom.ORCID https://orcid.org/0000-0003-4044-6114
Manish SaxenaNational Institute for Health Research, Barts Biomedical Research Centre, London, United Kingdom.ORCID https://orcid.org/0000-0001-9964-2692
Lifelight Trials GroupSee Acknowledgments, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasuring vital signs (VS) is an important aspect of clinical care but is time-consuming and requires multiple pieces of equipment and trained staff. Interest in the contactless measurement of VS has grown since the COVID-19 pandemic, including in nonclinical situations. Lifelight is an app being developed as a medical device for the contactless measurement of VS using remote photoplethysmography (rPPG) via the camera on smart devices. The VISION-D (Measurement of Vital Signs by Lifelight Software in Comparison to the Standard of Care-Development) and VISION-V (Validation) studies demonstrated the accuracy of Lifelight compared with standard-of-care measurement of blood pressure, pulse rate, and respiratory rate, supporting the certification of Lifelight as a class I Conformité Européenne (CE) medical device.

objectiveTo support further development of the Lifelight app, the observational VISION Multisite Development (VISION-MD) study is collecting high-quality data from a broad range of patients, including those with VS measurements outside the normal healthy range and patients who are critically ill.

methodsThe study is recruiting adults (aged ≥16 years) who are inpatients (some critically ill), outpatients, and healthy volunteers, aiming to cover a broad range of normal and clinically relevant VS values; there are no exclusion criteria. High-resolution 60-second videos of the face are recorded by the Lifelight app while simultaneously measuring VS using standard-of-care methods (automated sphygmomanometer for blood pressure; finger clip sensor for pulse rate and oxygen saturation; manual counting of respiratory rate). Feedback from patients and nurses who use Lifelight is collected via a questionnaire. Data to estimate the cost-effectiveness of Lifelight compared with standard-of-care VS measurement are also being collected. A new method for rPPG signal processing is currently being developed, based on the identification of small areas of high-quality signals in each individual. Anticipated recruitment is 1950 participants, with the expectation that data from approximately 1700 will be used for software development. Data from 250 participants will be retained to test the performance of Lifelight against predefined performance targets.

resultsRecruitment began in May 2021 but was hindered by the restrictions instigated during the COVID-19 pandemic. The development of data processing methodology is in progress. The data for analysis will become available from September 2022, and the algorithms will be refined continuously to improve clinical accuracy. The performance of Lifelight compared with that of the standard-of-care measurement of VS will then be tested. Recruitment will resume if further data are required. The analyses are expected to be completed in early 2023.

conclusionsThis study will support the refinement of data collection and processing toward the development of a robust app that is suitable for routine clinical use.

trial registrationClinicalTrials.gov NCT04763746; https://clinicaltrials.gov/ct2/show/NCT04763746. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/41533.

Indexed as

contactlessgeneral practiceLifelightphotoplethysmographyremote photoplethysmographyrPPGsoftwarevital signs/methodsvital signs/standards

Identifiers

PMID36630158
PMCPMC9878372

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.