Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetry
Videos of the human skin contain subtle color variations associated with the blood volume pulse. This remote photoplethysmography signal can be used for heart rate monitoring and represents an alternative to signals obtained from contact-based hardware. We developed an algorithm that estimates the h...
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doaj-a0197df5dde145f28b09b5dc86bc42652020-11-24T21:24:18ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042015-09-0111697210.1515/cdbme-2015-0018cdbme-2015-0018Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetrySpicher Nicolai0Maderwald Stefan1Ladd Mark E.2Kukuk Markus3Department of Computer Science, University of Applied Sciences and Arts Dortmund, 44227 Dortmund, GermanyErwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, 45141 Essen, GermanyErwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, 45141 Essen, Germany and Division of Medical Physics in Radiology, German Cancer Research Center, 69120 Heidelberg, GermanyDepartment of Computer Science, University of Applied Sciences and Arts Dortmund, 44227 Dortmund, GermanyVideos of the human skin contain subtle color variations associated with the blood volume pulse. This remote photoplethysmography signal can be used for heart rate monitoring and represents an alternative to signals obtained from contact-based hardware. We developed an algorithm that estimates the heart rate in real-time from photoplethysmography signals and evaluate its performance in the context of ultra-high-field magnetic resonance imaging. We compare its accuracy to heart rate values estimated from electrocardiography and finger pulse oximetry triggers, obtained from MR vendor-provided hardware. For eight subjects, two experiments are conducted with the patient table outside and inside a 7 Tesla scanner. During both 5 min setups, heart rates from the algorithm and contact-based methods are stored. Their comparison suggests technical feasibility of the contactless method but that it is inferior in accuracy compared to contact-based hardware and that low heart rates (≤50 beats per minute) and adequate illumination are major challenges for practical feasibility.http://www.degruyter.com/view/j/cdbme.2015.1.issue-1/cdbme-2015-0018/cdbme-2015-0018.xml?format=INTMagnetic resonance imaging (MRI)heart ratecontactless measurementremote photoplethysmography |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Spicher Nicolai Maderwald Stefan Ladd Mark E. Kukuk Markus |
spellingShingle |
Spicher Nicolai Maderwald Stefan Ladd Mark E. Kukuk Markus Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetry Current Directions in Biomedical Engineering Magnetic resonance imaging (MRI) heart rate contactless measurement remote photoplethysmography |
author_facet |
Spicher Nicolai Maderwald Stefan Ladd Mark E. Kukuk Markus |
author_sort |
Spicher Nicolai |
title |
Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetry |
title_short |
Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetry |
title_full |
Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetry |
title_fullStr |
Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetry |
title_full_unstemmed |
Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetry |
title_sort |
heart rate monitoring in ultra-high-field mri using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetry |
publisher |
De Gruyter |
series |
Current Directions in Biomedical Engineering |
issn |
2364-5504 |
publishDate |
2015-09-01 |
description |
Videos of the human skin contain subtle color variations associated with the blood volume pulse. This remote photoplethysmography signal can be used for heart rate monitoring and represents an alternative to signals obtained from contact-based hardware. We developed an algorithm that estimates the heart rate in real-time from photoplethysmography signals and evaluate its performance in the context of ultra-high-field magnetic resonance imaging. We compare its accuracy to heart rate values estimated from electrocardiography and finger pulse oximetry triggers, obtained from MR vendor-provided hardware. For eight subjects, two experiments are conducted with the patient table outside and inside a 7 Tesla scanner. During both 5 min setups, heart rates from the algorithm and contact-based methods are stored. Their comparison suggests technical feasibility of the contactless method but that it is inferior in accuracy compared to contact-based hardware and that low heart rates (≤50 beats per minute) and adequate illumination are major challenges for practical feasibility. |
topic |
Magnetic resonance imaging (MRI) heart rate contactless measurement remote photoplethysmography |
url |
http://www.degruyter.com/view/j/cdbme.2015.1.issue-1/cdbme-2015-0018/cdbme-2015-0018.xml?format=INT |
work_keys_str_mv |
AT spichernicolai heartratemonitoringinultrahighfieldmriusingfrequencyinformationobtainedfromvideosignalsofthehumanskincomparedtoelectrocardiographyandpulseoximetry AT maderwaldstefan heartratemonitoringinultrahighfieldmriusingfrequencyinformationobtainedfromvideosignalsofthehumanskincomparedtoelectrocardiographyandpulseoximetry AT laddmarke heartratemonitoringinultrahighfieldmriusingfrequencyinformationobtainedfromvideosignalsofthehumanskincomparedtoelectrocardiographyandpulseoximetry AT kukukmarkus heartratemonitoringinultrahighfieldmriusingfrequencyinformationobtainedfromvideosignalsofthehumanskincomparedtoelectrocardiographyandpulseoximetry |
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