Photoplethysmography imaging algorithm for continuous monitoring of regional anesthesia

Rubīns, Uldis; Spīgulis, Jānis; Miscuks, Aleksejs

doi:10.1145/2993452.2994308

Cited by 13 publications

(7 citation statements)

References 13 publications

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“…If consecutive frames are compared, the skin-remitted light intensity detected from a fixed area increases and decreases with time, forming the periodic PPGI signal. Specific software [ 43 ] allows extracting the arterial pulsations from the video-signal over the whole imaged skin area. The amplitude of PPG peaks may differ between the image pixels due to different blood perfusion of the skin tissues—especially if there is a burn or other dermal skin damage.…”

Section: Methodsmentioning

confidence: 99%

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Multispectral, Fluorescent and Photoplethysmographic Imaging for Remote Skin Assessment

Spīgulis

2017

Sensors

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Optical tissue imaging has several advantages over the routine clinical imaging methods, including non-invasiveness (it does not change the structure of tissues), remote operation (it avoids infections) and the ability to quantify the tissue condition by means of specific image parameters. Dermatologists and other skin experts need compact (preferably pocket-size), self-sustaining and easy-to-use imaging devices. The operational principles and designs of ten portable in-vivo skin imaging prototypes developed at the Biophotonics Laboratory of Institute of Atomic Physics and Spectroscopy, University of Latvia during the recent five years are presented in this paper. Four groups of imaging devices are considered. Multi-spectral imagers offer possibilities for distant mapping of specific skin parameters, thus facilitating better diagnostics of skin malformations. Autofluorescence intensity and photobleaching rate imagers show a promising potential for skin tumor identification and margin delineation. Photoplethysmography video-imagers ensure remote detection of cutaneous blood pulsations and can provide real-time information on cardiovascular parameters and anesthesia efficiency. Multimodal skin imagers perform several of the abovementioned functions by taking a number of spectral and video images with the same image sensor. Design details of the developed prototypes and results of clinical tests illustrating their functionality are presented and discussed.

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Section: Methodsmentioning

confidence: 99%

“…Video acquisition frame rate is 100 Hz (equal to the lamp blinking frequency), so temporal variations of the lamp intensity do not affect the PPGI signal, filtered in the frequency range 0.7–3.0 Hz. More details on the developed PPGI prototype devices and their software can be found in [ 42 , 43 , 44 , 46 , 47 ].…”

Section: Methodsmentioning

confidence: 99%

Multispectral, Fluorescent and Photoplethysmographic Imaging for Remote Skin Assessment

Spīgulis

2017

Sensors

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“…Rubins et al [128] introduced the concept that a PPG imaging system might be employed to continuously monitor regional anesthesia by monitoring skin microcirculation. Using both an RGB camera and a near-infrared camera, Trumpp et al [129] applied camera-based PPG to monitor patients of cardiovascular disease during surgery in an intraoperative environment.…”

Section: Anesthesia Monitoringmentioning

confidence: 99%

Remote Monitoring of Vital Signs in Diverse Non-Clinical and Clinical Scenarios Using Computer Vision Systems: A Review

2019

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Techniques for noncontact measurement of vital signs using camera imaging technologies have been attracting increasing attention. For noncontact physiological assessments, computer vision-based methods appear to be an advantageous approach that could be robust, hygienic, reliable, safe, cost effective and suitable for long distance and long-term monitoring. In addition, video techniques allow measurements from multiple individuals opportunistically and simultaneously in groups. This paper aims to explore the progress of the technology from controlled clinical scenarios with fixed monitoring installations and controlled lighting, towards uncontrolled environments, crowds and moving sensor platforms. We focus on the diversity of applications and scenarios being studied in this topic. From this review it emerges that automatic multiple regions of interest (ROIs) selection, removal of noise artefacts caused by both illumination variations and motion artefacts, simultaneous multiple person monitoring, long distance detection, multi-camera fusion and accepted publicly available datasets are topics that still require research to enable the technology to mature into many real-world applications.

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“…In 41 , the authors reported results on 40 patients undergoing hemodialysis treatment, and in 42 , respiratory rate has been estimated in 28 patients in the post-anesthesia care unit with infrared thermography. Kamshilin et al analyzed microcirculation in migraine patients and healthy controls 43 , while Rubins, Spigulis, and Miscuks used PPGI for continuous monitoring of regional anesthesia 44 . Another growing field of application for PPGI is non-contact monitoring of neonates, particularly in the neonatal intensive care unit (NICU).…”

Section: Survey Taxonomymentioning

confidence: 99%

A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum

Antink

Lyra²,

Paul

et al. 2019

Yearb Med Inform

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Objectives: Camera-based vital sign estimation allows the contactless assessment of important physiological parameters. Seminal contributions were made in the 1930s, 1980s, and 2000s, and the speed of development seems ever increasing. In this suivey, we aim to overview the most recent works in this area, describe their common features as well as shortcomings, and highlight interesting “outliers”. Methods: We performed a comprehensive literature research and quantitative analysis of papers published between 2016 and 2018. Quantitative information about the number of subjects, studies with healthy volunteers vs. pathological conditions, public datasets, laboratory vs. real-world works, types of camera, usage of machine learning, and spectral properties of data was extracted. Moreover, a qualitative analysis of illumination used and recent advantages in terms of algorithmic developments was also performed. Results: Since 2016, 116 papers were published on camera-based vital sign estimation and 59% of papers presented results on 20 or fewer subjects. While the average number of participants increased from 15.7 in 2016 to 22.9 in 2018, the vast majority of papers (n=100) were on healthy subjects. Four public datasets were used in 10 publications. We found 27 papers whose application scenario could be considered a real-world use case, such as monitoring during exercise or driving. These include 16 papers that dealt with non-healthy subjects. The majority of papers (n=61) presented results based on visual, red-green-blue (RGB) information, followed by RGB combined with other parts of the electromagnetic spectrum (n=18), and thermography only (n=12), while other works (n=25) used other mono- or polychromatic non-RGB data. Surprisingly, a minority of publications (n=39) made use of consumer-grade equipment. Lighting conditions were primarily uncontrolled or ambient. While some works focused on specialized aspects such as the removal of vital sign information from video streams to protect privacy or the influence of video compression, most algorithmic developments were related to three areas: region of interest selection, tracking, or extraction of a one-dimensional signal. Seven papers used deep learning techniques, 17 papers used other machine learning approaches, and 92 made no explicit use of machine learning. Conclusion: Although some general trends and frequent shortcomings are obvious, the spectrum of publications related to camera-based vital sign estimation is broad. While many creative solutions and unique approaches exist, the lack of standardization hinders comparability of these techniques and of their performance. We believe that sharing algorithms and/ or datasets will alleviate this and would allow the application of newer techniques such as deep learning.

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Photoplethysmography imaging algorithm for continuous monitoring of regional anesthesia

Cited by 13 publications

References 13 publications

Multispectral, Fluorescent and Photoplethysmographic Imaging for Remote Skin Assessment

Multispectral, Fluorescent and Photoplethysmographic Imaging for Remote Skin Assessment

Remote Monitoring of Vital Signs in Diverse Non-Clinical and Clinical Scenarios Using Computer Vision Systems: A Review

A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum

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