دورية أكاديمية

Video and audio processing in paediatrics a review

التفاصيل البيبلوغرافية
العنوان: Video and audio processing in paediatrics a review
المؤلفون: Cabon, Sandie, Porée, Fabienne, Simon, Antoine, Rosec, Olivier, Pladys, Patrick, Carrault, Guy
المساهمون: Voxygen Pleumeur-Bodou, Voxygen, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)
المصدر: ISSN: 0967-3334.
بيانات النشر: HAL CCSD
IOP Publishing
سنة النشر: 2019
المجموعة: Université de Rennes 1: Publications scientifiques (HAL)
مصطلحات موضوعية: Neonate, Video processing, Audio processing, Monitoring, Paediatrics, Preterm infants, Neonatal Intensive Care Unit, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SDV.IB]Life Sciences [q-bio]/Bioengineering
الوصف: International audience ; Objective - Video and sound acquisition and processing technologies have seen great improvements in recent decades, with many applications in the biomedical area. The aim of this paper is to review the overall state of the art of advances within these topics in paediatrics and to evaluate their potential application for monitoring in the neonatal intensive care unit (NICU). Approach - For this purpose, more than 150 papers dealing with video and audio processing were reviewed. For both topics, clinical applications are described according to the considered cohorts-full-term newborns, infants and toddlers or preterm newborns. Then, processing methods are presented, in terms of data acquisition, feature extraction and characterization. Main results - The paper first focuses on the exploitation of video recordings; these began to be automatically processed in the 2000s and we show that they have mainly been used to characterize infant motion. Other applications, including respiration and heart rate estimation and facial analysis, are also presented. Audio processing is then reviewed, with a focus on the analysis of crying. The first studies in this field focused on induced-pain cries and the newest ones deal with spontaneous cries; the analyses are mainly based on frequency features. Then, some papers dealing with non-cry signals are also discussed. Significance - Finally, we show that even if recent improvements in digital video and signal processing allow for increased automation of processing, the context of the NICU makes a fully automated analysis of long recordings problematic. A few proposals for overcoming some of the limitations are given.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/30669130; hal-01998530; https://univ-rennes.hal.science/hal-01998530Test; https://univ-rennes.hal.science/hal-01998530/documentTest; https://univ-rennes.hal.science/hal-01998530/file/Cabon%20clean%20final%20version.pdfTest; PUBMED: 30669130
DOI: 10.1088/1361-6579/ab0096
الإتاحة: https://doi.org/10.1088/1361-6579/ab0096Test
https://univ-rennes.hal.science/hal-01998530Test
https://univ-rennes.hal.science/hal-01998530/documentTest
https://univ-rennes.hal.science/hal-01998530/file/Cabon%20clean%20final%20version.pdfTest
حقوق: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.EC025F5B
قاعدة البيانات: BASE