Non-contact heart rate monitoring utilizing camera photoplethysmography in the neonatal intensive care unit — A pilot study

Aarts, Lonneke A. M.; Jeanne, Vincent; Cleary, John P.; Lieber, Chad A.; Nelson, J. Stuart; Oetomo, Sidarto Bambang; Verkruysse, Wim

doi:10.1016/j.earlhumdev.2013.09.016

Cited by 211 publications

(176 citation statements)

References 14 publications

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“…However, their system was outperformed by camerabased PPG measurements in some cases and is likely to be susceptible to noise due to rigid head motions. A pilot study in infant monitoring has demonstrated accurate measurement of HR using remote PPG measurements from a camera in realistic conditions [1], HRV measurements were not validated.…”

Section: Related Workmentioning

confidence: 99%

“…Applications that would benefit from non-contact measurement of heart rate (HR) and heart rate variability (HRV) include: infant monitoring [1], detection of cardiac diseases [2] and stress monitoring [3]. The current gold standard methods of measuring HR and HRV involve obtrusive devices attached to the body, in some cases requiring sticky gels and/or uncomfortable electrodes.…”

Section: Introductionmentioning

confidence: 99%

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Improvements in Remote Cardiopulmonary Measurement Using a Five Band Digital Camera

McDuff

Gontarek

Picard

2014

IEEE Trans. Biomed. Eng.

249

148

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Abstract-Remote measurement of the blood volume pulse via photoplethysmography (PPG) using digital cameras and ambient light has great potential for healthcare and affective computing. However, traditional RGB cameras have limited frequency resolution. We present results of PPG measurements from a novel five band camera and show that alternate frequency bands, in particular an orange band, allowed physiological measurements much more highly correlated with an FDA approved contact PPG sensor. In a study with participants (n=10) at rest and under stress, correlations of over 0.92 (p<0.01) were obtained for heart rate, breathing rate and heart rate variability measurements. In addition, the remotely measured HRV spectrograms closely matched those from the contact approach. The best results were obtained using a combination of cyan, green and orange (CGO) bands; incorporating red and blue channel observations did not improve performance. In short, RGB is not optimal for this problem: CGO is better. Incorporating alternative color channel sensors should not increase the cost of such cameras dramatically.Index Terms-heart rate variability (HRV), blood volume pulse (BVP), photoplethysmography (PPG), remote sensing.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improvements in Remote Cardiopulmonary Measurement Using a Five Band Digital Camera

McDuff

Gontarek

Picard

2014

IEEE Trans. Biomed. Eng.

249

148

View full text Add to dashboard Cite

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“…The first medical study of camera-based pulse rate monitoring for neonates was reported by Scalise et al [4]. However, they recorded the infants only in supine positions together with a non-ambient green light source (green channel shows the strongest pulse signal [8]).…”

Section: Current Trendsmentioning

confidence: 99%

“…However, they recorded the infants only in supine positions together with a non-ambient green light source (green channel shows the strongest pulse signal [8]). The first to include ambient light conditions in a medical study was Aarts et al [4]. They explored different scenes with challenging conditions for 19 infants in durations of 1 to 5 mins.…”

Section: Current Trendsmentioning

confidence: 99%

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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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DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks

Chen

McDuff

2018

Lecture Notes in Computer Science

401

345

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Non-contact video-based physiological measurement has many applications in health care and human-computer interaction. Practical applications require measurements to be accurate even in the presence of large head rotations. We propose the first end-to-end system for videobased measurement of heart and breathing rate using a deep convolutional network. The system features a new motion representation based on a skin reflection model and a new attention mechanism using appearance information to guide motion estimation, both of which enable robust measurement under heterogeneous lighting and major motions. Our approach significantly outperforms all current state-of-the-art methods on both RGB and infrared video datasets. Furthermore, it allows spatial-temporal distributions of physiological signals to be visualized via the attention mechanism.

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Non-contact heart rate monitoring utilizing camera photoplethysmography in the neonatal intensive care unit — A pilot study

Abstract: Contactless heart rate monitoring by means of a camera using ambient light was demonstrated for the first time in the NICU population and appears feasible. Better hardware and improved algorithms are required to increase robustness.

Cited by 211 publications

References 14 publications

Improvements in Remote Cardiopulmonary Measurement Using a Five Band Digital Camera

Improvements in Remote Cardiopulmonary Measurement Using a Five Band Digital Camera

Feasibility of Contactless Pulse Rate Monitoring of Neonates using Google Glass

DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks

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