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

Wiffen, Laura; Brown, Thomas; Maczka, Annika Brogaard; Maczka, Melissa; Pearce, Laurence; Chauhan, Milan; Chauhan, Anoop; Saxena, Manish

doi:10.2196/41533

Cited by 9 publications

(5 citation statements)

References 19 publications

(15 reference statements)

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“…In Table 5 , the represented results of SpO 2 estimation from various articles are shown. It can clearly be seen that oxygen saturation could be measured with a 1.64% error or higher than 95% accuracy level using standard datasets like PURE or large customer datasets, as in Wiffen et al’s article [ 28 ].…”

Section: Resultsmentioning

confidence: 99%

“…In Table 5, the represented results of SpO 2 estimation from various articles are shown. It can clearly be seen that oxygen saturation could be measured with a 1.64% error or higher than 95% accuracy level using standard datasets like PURE or large customer datasets, as in Wiffen et al's article [28]. The majority (around 80%) of research articles focused on remote heart rate estimation and a bit less on remote respiratory rate estimation.…”

Section: Performance Metricsmentioning

confidence: 98%

“… Publications by subject area [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , …”

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Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review

Saikevičius,

Raudonis,

Dervinis

et al. 2024

Sensors

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The development of non-contact techniques for monitoring human vital signs has significant potential to improve patient care in diverse settings. By facilitating easier and more convenient monitoring, these techniques can prevent serious health issues and improve patient outcomes, especially for those unable or unwilling to travel to traditional healthcare environments. This systematic review examines recent advancements in non-contact vital sign monitoring techniques, evaluating publicly available datasets and signal preprocessing methods. Additionally, we identified potential future research directions in this rapidly evolving field.

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Section: Resultsmentioning

confidence: 99%

“…In Table 5, the represented results of SpO 2 estimation from various articles are shown. It can clearly be seen that oxygen saturation could be measured with a 1.64% error or higher than 95% accuracy level using standard datasets like PURE or large customer datasets, as in Wiffen et al's article [28]. The majority (around 80%) of research articles focused on remote heart rate estimation and a bit less on remote respiratory rate estimation.…”

Section: Performance Metricsmentioning

confidence: 98%

Section: Figureunclassified

See 1 more Smart Citation

Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review

Saikevičius,

Raudonis,

Dervinis

et al. 2024

Sensors

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“…Video recordings for this study were made during a cross-sectional observational study (VISION-MD; NCT04763746), which is evaluating Lifelight for the measurement of VS compared with current standard of care methods [ 27 ]. The study involves adults (aged ≥16 years) who are inpatients (including critically ill patients), outpatients, friends or relatives of patients, and members of hospital staff.…”

Section: Methodsmentioning

confidence: 99%

Dynamic Region of Interest Selection in Remote Photoplethysmography: Proof-of-Concept Study

Barham¹,

Wegerif²,

Petronzio³

2023

JMIR Form Res

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Background Remote photoplethysmography (rPPG) can record vital signs (VSs) by detecting subtle changes in the light reflected from the skin. Lifelight (Xim Ltd) is a novel software being developed as a medical device for the contactless measurement of VSs using rPPG via integral cameras on smart devices. Research to date has focused on extracting the pulsatile VS from the raw signal, which can be influenced by factors such as ambient light, skin thickness, facial movements, and skin tone. Objective This preliminary proof-of-concept study outlines a dynamic approach to rPPG signal processing wherein green channel signals from the most relevant areas of the face (the midface, comprising the cheeks, nose, and top of the lip) are optimized for each subject using tiling and aggregation (T&A) algorithms. Methods High-resolution 60-second videos were recorded during the VISION-MD study. The midface was divided into 62 tiles of 20×20 pixels, and the signals from multiple tiles were evaluated using bespoke algorithms through weighting according to signal-to-noise ratio in the frequency domain (SNR-F) score or segmentation. Midface signals before and after T&A were categorized by a trained observer blinded to the data processing as 0 (high quality, suitable for algorithm training), 1 (suitable for algorithm testing), or 2 (inadequate quality). On secondary analysis, observer categories were compared for signals predicted to improve categories following T&A based on the SNR-F score. Observer ratings and SNR-F scores were also compared before and after T&A for Fitzpatrick skin tones 5 and 6, wherein rPPG is hampered by light absorption by melanin. Results The analysis used 4310 videos recorded from 1315 participants. Category 2 and 1 signals had lower mean SNR-F scores than category 0 signals. T&A improved the mean SNR-F score using all algorithms. Depending on the algorithm, 18% (763/4212) to 31% (1306/4212) of signals improved by at least one category, with up to 10% (438/4212) improving into category 0, and 67% (2834/4212) to 79% (3337/4212) remaining in the same category. Importantly, 9% (396/4212) to 21% (875/4212) improved from category 2 (not usable) into category 1. All algorithms showed improvements. No more than 3% (137/4212) of signals were assigned to a lower-quality category following T&A. On secondary analysis, 62% of signals (32/52) were recategorized, as predicted from the SNR-F score. T&A improved SNR-F scores in darker skin tones; 41% of signals (151/369) improved from category 2 to 1 and 12% (44/369) from category 1 to 0. Conclusions The T&A approach to dynamic region of interest selection improved signal quality, including in dark skin tones. The method was verified by comparison with a trained observer’s rating. T&A could overcome factors that compromise whole-face rPPG. This method’s performance in estimating VS is currently being assessed. Trial Registration ClinicalTrials.gov NCT04763746; https://clinicaltrials.gov/ct2/show/NCT04763746

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“…Other recent and relevant telemonitoring systems based on vital parameter monitoring are listed below. Specifically, Wiffen et al ( 2023 ) support the refinement of data collection and processing toward the development of a robust app that is suitable for routine clinical use, whereas Ko et al ( 2023 ) conducted in-person home visits at least once a day, with nursing visits up to 3 times a day for intravenous therapy; additionally, patients were discharged from the program when they met conventional inpatient discharge criteria. Murali ( 2023 ) offer a more effective way to keep track of the patient's medical system.…”

Section: Related Workmentioning

confidence: 99%

An intelligent telemonitoring application for coronavirus patients: reCOVeryaID

D'Auria,

Russo,

Fedele

et al. 2023

Front. Big Data

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The COVID-19 emergency underscored the importance of resolving crucial issues of territorial health monitoring, such as overloaded phone lines, doctors exposed to infection, chronically ill patients unable to access hospitals, etc. In fact, it often happened that people would call doctors/hospitals just out of anxiety, not realizing that they were clogging up communications, thus causing problems for those who needed them most; such people, often elderly, have often felt lonely and abandoned by the health care system because of poor telemedicine. In addition, doctors were unable to follow up on the most serious cases or make sure that others did not worsen. Thus, uring the first pandemic wave we had the idea to design a system that could help people alleviate their fears and be constantly monitored by doctors both in hospitals and at home; consequently, we developed reCOVeryaID, a telemonitoring application for coronavirus patients. It is an autonomous application supported by a knowledge base that can react promptly and inform medical doctors if dangerous trends in the patient's short- and long-term vital signs are detected. In this paper, we also validate the knowledge-base rules in real-world settings by testing them on data from real patients infected with COVID-19.

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

Cited by 9 publications

References 19 publications

Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review

Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review

Dynamic Region of Interest Selection in Remote Photoplethysmography: Proof-of-Concept Study

An intelligent telemonitoring application for coronavirus patients: reCOVeryaID

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