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Non-Contact, Simple Neonatal Monitoring by Photoplethysmography

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dc.affiliation.dptoUC3M. Departamento de Ingeniería de Sistemas y Automáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Robótica (Robotics Lab)es
dc.contributor.authorCobos Torres, Juan Carlos
dc.contributor.authorAbderrahim Fichouche, Mohamed
dc.contributor.authorMartinez Orgado, Jose
dc.date.accessioned2023-12-11T16:07:20Z
dc.date.available2023-12-11T16:07:20Z
dc.date.issued2018-12-10
dc.descriptionThis article belongs to the Special Issue Non-Invasive Biomedical Sensorsen
dc.description.abstractThis paper presents non-contact vital sign monitoring in neonates, based on image processing, where a standard color camera captures the plethysmographic signal and the heart and breathing rates are processed and estimated online. It is important that the measurements are taken in a non-invasive manner, which is imperceptible to the patient. Currently, many methods have been proposed for non-contact measurement. However, to the best of the authors' knowledge, it has not been possible to identify methods with low computational costs and a high tolerance to artifacts. With the aim of improving contactless measurement results, the proposed method based on the computer vision technique is enhanced to overcome the mentioned drawbacks. The camera is attached to an incubator in the Neonatal Intensive Care Unit and a single area in the neonate's diaphragm is monitored. Several factors are considered in the stages of image acquisition, as well as in the plethysmographic signal formation, pre-filtering and filtering. The pre-filter step uses numerical analysis techniques to reduce the signal offset. The proposed method decouples the breath rate from the frequency of sinus arrhythmia. This separation makes it possible to analyze independently any cardiac and respiratory dysrhythmias. Nine newborns were monitored with our proposed method. A Bland-Altman analysis of the data shows a close correlation of the heart rates measured with the two approaches (correlation coefficient of 0.94 for heart rate (HR) and 0.86 for breath rate (BR)) with an uncertainty of 4.2 bpm for HR and 4.9 for BR (k = 1). The comparison of our method and another non-contact method considered as a standard independent component analysis (ICA) showed lower central processing unit (CPU) usage for our method (75% less CPU usage).en
dc.format.extent14es
dc.format.mimetypeapplication/pdfen
dc.identifier.bibliographicCitationCobos-Torres, J.-C., Abderrahim, M., & Martínez-Orgado, J. (2018). Non-Contact, Simple Neonatal Monitoring by Photoplethysmography. Sensors 18(12), p. 4362.en
dc.identifier.doi10.3390/s18124362
dc.identifier.issn1424-3210
dc.identifier.publicationissue12es
dc.identifier.publicationtitleSensorsen
dc.identifier.publicationvolume18es
dc.identifier.urihttps://hdl.handle.net/10016/39056
dc.identifier.uxxiAR/0000022969
dc.language.isoengen
dc.publisherMDPIen
dc.rights© 2018 by the authors.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaBiología y Biomedicinaes
dc.subject.ecienciaRobótica e Informática Industriales
dc.subject.otherImage processingen
dc.subject.otherNeonatologyen
dc.subject.otherImaging photoplethysmographyen
dc.subject.otherVital signsen
dc.subject.otherRespiratory sinus arrhythmiaen
dc.titleNon-Contact, Simple Neonatal Monitoring by Photoplethysmographyen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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