Towards continuous monitoring of pulse rate in neonatal intensive care unit with a webcam

Mestha, Lalit K.; Kyal, Survi; Xu, Beilei; Lewis, Leslie Edward; Kumar, Vijay

doi:10.1109/embc.2014.6944455

Cited by 57 publications

(51 citation statements)

References 23 publications

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“…The essential difference between these rPPG methods is in the way of combining RGB-signals into a pulse-signal. A better understanding of the core rPPG methods could benefit many systems/applications for video health monitoring, such as the monitoring of heart-rate [7]- [11], respiration [8], SpO 2 [8], [12], blood pressure [13], neonates [14], [15], and the detection of atrial fibrillation [16] and mental stress [17].…”

Section: Introductionmentioning

confidence: 99%

Algorithmic Principles of Remote PPG

Wang

Brinker

Stuijk

et al. 2017

IEEE Trans. Biomed. Eng.

708

578

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Wang, W.; den Brinker, A.C.; Stuijk, S.; de Haan, G. Published in: IEEE Transactions on Biomedical Engineering DOI:10.1109/TBME.2016.2609282Published: 01/07/2017 Document VersionAuthor's version before peer-review Please check the document version of this publication:• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication Citation for published version (APA):Wang, W., den Brinker, A. C., Stuijk, S., & de Haan, G. (2017). Algorithmic principles of remote-PPG. IEEE Transactions on Biomedical Engineering, 64(7), 1479-1491. DOI: 10.1109/TBME.2016.2609282 General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstract-This paper introduces a mathematical model that incorporates the pertinent optical and physiological properties of skin reflections with the objective to increase our understanding of the algorithmic principles behind remote photoplethysmography (rPPG). The model is used to explain the different choices that were made in existing rPPG methods for pulse extraction. The understanding that comes from the model can be used to design robust or application-specific rPPG solutions. We illustrate this by designing an alternative rPPG method where a projection plane orthogonal to the skin-tone is used for pulse extraction. A large benchmark on the various discussed rPPG methods shows that their relative merits can indeed be understood from the proposed model.

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Section: Introductionmentioning

confidence: 99%

Algorithmic Principles of Remote PPG

Wang

Brinker

Stuijk

et al. 2017

IEEE Trans. Biomed. Eng.

708

578

View full text Add to dashboard Cite

show abstract

“…Another work [6] reports on the use of distant pulse rate measurement in neonates. The system was based on a high definition (HD) webcam, while the final image resolution was only 640 × 480.…”

Section: Related Workmentioning

confidence: 99%

Distant Measurement of Plethysmographic Signal in Various Lighting Conditions Using Configurable Frame-Rate Camera

Przybyło

Kańtoch

Jabłoński

et al. 2016

Metrology and Measurement Systems

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Videoplethysmography is currently recognized as a promising noninvasive heart rate measurement method advantageous for ubiquitous monitoring of humans in natural living conditions. Although the method is considered for application in several areas including telemedicine, sports and assisted living, its dependence on lighting conditions and camera performance is still not investigated enough. In this paper we report on research of various image acquisition aspects including the lighting spectrum, frame rate and compression. In the experimental part, we recorded five video sequences in various lighting conditions (fluorescent artificial light, dim daylight, infrared light, incandescent light bulb) using a programmable frame rate camera and a pulse oximeter as the reference. For a video sequence-based heart rate measurement we implemented a pulse detection algorithm based on the power spectral density, estimated using Welch's technique. The results showed that lighting conditions and selected video camera settings including compression and the sampling frequency influence the heart rate detection accuracy. The average heart rate error also varies from 0.35 beats per minute (bpm) for fluorescent light to 6.6 bpm for dim daylight.

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“…Recent trends [3][4][5][6][7] in validating camera-based pulse rate monitoring methods in neonatal clinical settings are highlighted in Table 1. The first medical study of camera-based pulse rate monitoring for neonates was reported by Scalise et al [4].…”

Section: Current Trendsmentioning

confidence: 99%

“…They explored different scenes with challenging conditions for 19 infants in durations of 1 to 5 mins. Klaessens et al [5], Mestha et al [6] and Villarroel et al [7] all report clinical studies of 7, 8 and 2 (2 are reported out of an ongoing study of 40) infants respectively. However, the details of the scenes recorded with challenging conditions are not reported or are removed from the analysis.…”

Section: Current Trendsmentioning

confidence: 99%

Feasibility of Contactless Pulse Rate Monitoring of Neonates using Google Glass

Fernando¹,

Wang²,

Kirenko³

et al. 2015

Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare

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In neonatal intensive care units in hospitals, vital signs of neonates are monitored continuously using wired sensors. However, these wired sensors introduce skin irritations, pain, discomfort and sleep disruptions for the neonates. State of the art camera-based vital sign algorithms are becoming popular as a solution to these issues. However, there are limited investigations into the feasibility of monitoring the neonates in a clinical setting with these algorithms. Also, recent emergence of a wide variety of wearable head-mounted devices, like Google Glass, enable vital sign monitoring to be ubiquitous. Again, feasibility of the use of such a device for vital sign monitoring is unknown.This paper investigates both the feasibility of using a camera-based algorithm for pulse rate monitoring of neonates in a clinical setting and the feasibility of using Google Glass for such pulse rate monitoring. The results of our research show under what conditions the monitoring of the pulse rate of neonates would be reliable and highlights the challenging conditions. Also, they give insights into the applicability of a Google Glass prototype for pulse rate monitoring and it's current limitations.

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Towards continuous monitoring of pulse rate in neonatal intensive care unit with a webcam

Cited by 57 publications

References 23 publications

Algorithmic Principles of Remote PPG

Algorithmic Principles of Remote PPG

Distant Measurement of Plethysmographic Signal in Various Lighting Conditions Using Configurable Frame-Rate Camera

Feasibility of Contactless Pulse Rate Monitoring of Neonates using Google Glass

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