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Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions

Marco Leo, Giuseppe Massimo Bernava, Pierluigi Carcagnì, Cosimo Distante
2022 Sensors  
Traditional technologies for automatic baby motion analysis leverage contact sensors.  ...  As a consequence, also markerless video-based analysis of movements in children for NDD has been rapidly expanding but, to the best of our knowledge, there is not yet a survey paper providing a broad overview  ...  An interesting part of the study determined the impact of each video's annotations on the classifier's predicted label for that video by a unified approach inherited by the game theory.  ... 
doi:10.3390/s22030866 pmid:35161612 pmcid:PMC8839211 fatcat:6rv7kiyj35hbrdurqmyfcufnwm

Randomized controlled trial protocol to improve multisensory neural processing, language and motor outcomes in preterm infants

Mary Lauren Neel, Paul Yoder, Pawel J. Matusz, Micah M. Murray, Ashley Miller, Stephanie Burkhardt, Lelia Emery, Kaleigh Hague, Caitlin Pennington, Jessica Purnell, Megan Lightfoot, Nathalie L. Maitre
2019 BMC Pediatrics  
Premature infants are at risk for abnormal sensory development due to brain immaturity at birth and atypical early sensory experiences in the Neonatal Intensive Care Unit.  ...  This altered sensory development can have downstream effects on other more complex developmental processes.  ...  Funding This trial is funded through a five-year grant from the NICHD/NIH R01 HD093706 awarded to NL Maitre.  ... 
doi:10.1186/s12887-019-1455-1 pmid:30890132 pmcid:PMC6423745 fatcat:7wofahvl7bewhhn7ocogeoqrb4

Image and Signal Processing for Networked E-Health Applications

Ilias G. Maglogiannis, Kostas Karpouzis, Manolis Wallace
2006 Synthesis Lectures on Biomedical Engineering  
Batch mode refers to the every day monitoring process, where vital signs are acquired and transmitted periodically to a health-monitoring center.  ...  Other home-monitoring conditions might include preeclampsia, anorexia, lowbirth-weight infants, growth abnormalities, and arrhythmias.  ...  Real-time video transmission for diagnostic applications is clearly the most demanding. Off-line video transmission is essentially limited by the requirement to provide patient-doctor interaction.  ... 
doi:10.2200/s00015ed1v01y200602bme002 fatcat:2spdaip7knbfvle45och3rfv6a

Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit

Mauricio Villarroel, Sitthichok Chaichulee, João Jorge, Sara Davis, Gabrielle Green, Carlos Arteta, Andrew Zisserman, Kenny McCormick, Peter Watkinson, Lionel Tarassenko
2019 npj Digital Medicine  
We developed multi-task deep learning algorithms to automatically segment skin areas and to estimate vital signs only when the infant was present in the field of view of the video camera and no clinical  ...  The implementation of video-based non-contact technologies to monitor the vital signs of preterm infants in the hospital presents several challenges, such as the detection of the presence or the absence  ...  In order to identify periods of clinical intervention during long video recordings, a sliding-window approach was used to process the video sequence with a fixed window length T ¼ 5 seconds and a step  ... 
doi:10.1038/s41746-019-0199-5 pmid:31872068 pmcid:PMC6908711 fatcat:t3jzak5otrc2helqmlx6dxunzi

A Survey on Computer Vision for Assistive Medical Diagnosis From Faces

Jerome Thevenot, Miguel Bordallo Lopez, Abdenour Hadid
2018 IEEE journal of biomedical and health informatics  
Various approaches have been considered to assess facial symptoms and to eventually provide further help to the practitioners.  ...  Automatic medical diagnosis is an emerging center of interest in computer vision as it provides unobtrusive objective information on a patient's condition.  ...  These costs are suitable to be reduced with the inclusion of automatic processes.  ... 
doi:10.1109/jbhi.2017.2754861 pmid:28991753 fatcat:l5gbc7jfuvga3igfp4exuzjzyu

Localised photoplethysmography imaging for heart rate estimation of pre-term infants in the clinic

Gabrielle Green, Sitthichok Chaichulee, Mauricio Villarroel, João Jorge, Carlos Arteta, Andrew Zisserman, Lionel Tarassenko, Kenny McCormick, Gerard L. Coté
2018 Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics  
automatic continuous monitoring of vital signs in a hospital environment.  ...  In a study approved by the local Research Ethical Committee, we made video recordings of pre-term infants nursed in a Neonatal Intensive Care Unit (NICU) at the John Radcliffe Hospital in Oxford, UK.  ...  JJ was supported by the Fundação para a Ciência e Tecnologia, Portugal, under grant number SFRH/BD/85158/2012. GG and KM were supported by the NIHR Biomedical Research Centre Programme, Oxford.  ... 
doi:10.1117/12.2289759 fatcat:hbyobcyx5raezexph2l7hh2erq

Automatic detection of epileptic seizures in Neonatal Intensive Care Units through EEG, ECG and video recordings: a survey

B. Olmi, L. Frassineti, A. Lanata, C. Manfredi
2021 IEEE Access  
This study highlights possible future developments of the NSD systems: a multimodal approach that exploits and combines the results of the EEG, ECG and video approaches and a system able to automatically  ...  Recently ECG analysis, particularly the related HRV analysis, seems to be a promising marker of brain damage.  ...  ACKNOWLEDGMENT (Antonio Lanatà and Claudia Manfredi contributed equally to this work.)  ... 
doi:10.1109/access.2021.3118227 fatcat:ylikimc2nbcoppbpte3iknpfcm

Information, information transfer, and information processing

Ulrike Hahn
2002 Behavioral and Brain Sciences  
This fact is obscured by S&K's tendencies to conflate dynamical with "distributed" as though dynamical systems approaches automatically involve control parameters in the wider environment, and to limit  ...  Not that systems for the analysis of linguistic material are unavailable to the infant, for they are, or soon will be.  ...  In the first, section R1, we consider some of the antecedents to dynamic systems (DS) in psychology, biology, anthropology, and primatology and note the key changes that have occurred in DS over the past  ... 
doi:10.1017/s0140525x02280115 fatcat:kkarxwas4zdztlaayovtrznaqm

The perceptual flow of phonetic feature processing

Steven Greenberg, Thomas Ulrich Christiansen
2008 Journal of the Acoustical Society of America  
Phase changes due to propagation distance and wall reflection were accounted for. Diffraction around obstacle edges was modeled by the Unified Theory of Diffraction.  ...  The drying process influence on the brick walls sound reduction index: laboratory evaluations and theoretical analysis.  ...  A variety of data processing and imaging approaches are under investigation.  ... 
doi:10.1121/1.2935993 fatcat:l2ix2ph575gh7l27xtjq264qkm

Sequential grouping constraints on across‐channel auditory processing

Andrew J. Oxenham, Torsten Dau
2005 Journal of the Acoustical Society of America  
An essential component of an approach to addressing this question is an ocean noise/marine ecosystem monitoring system.  ...  In this paper, we attempt to quantify the performance of mode-based processing in uncertain environments, and compare this performance to more classic processing approaches.  ...  The approach treats uncertainty within a probabilistic framework, representing both the sound speed distribution and acoustic field as stochastic processes.  ... 
doi:10.1121/1.4809413 fatcat:pi7xm3qw55ho5oyw27fb3p2bl4

Automated Face Analysis for Affective Computing [chapter]

Rafael Calvo, Sidney D'Mello, Jonathan Gratch, Arvid Kappas, Jeffrey F. Cohn, Fernando De La Torre
2015 The Oxford Handbook of Affective Computing  
Automated Face Analysis (AFA) for detection, synthesis, and understanding of facial expression is a vital focus of basic research.  ...  While open research questions remain, the field has become sufficiently mature to support initial applications in a variety of areas.  ...  Acknowledgements Research reported in this chapter was supported in part by the National Institutes of Health (NIH) under Award Number MHR01MH096951 and by the US Army Research Laboratory (ARL) under the  ... 
doi:10.1093/oxfordhb/9780199942237.013.020 fatcat:qrhzadx6y5bxzjo6nnfshhwoze

Across‐frequency processes involved in auditory detection of coloration

Jörg M. Buchholz, Paris Kerketsos
2008 Journal of the Acoustical Society of America  
Phase changes due to propagation distance and wall reflection were accounted for. Diffraction around obstacle edges was modeled by the Unified Theory of Diffraction.  ...  The drying process influence on the brick walls sound reduction index: laboratory evaluations and theoretical analysis.  ...  A variety of data processing and imaging approaches are under investigation.  ... 
doi:10.1121/1.2935741 fatcat:acaporn5qvgb5coauovqkbv6lq

Cardio-respiratory signal extraction from video camera data for continuous non-contact vital sign monitoring using deep learning

Sitthichok Chaichulee, Mauricio Villarroel, Joao Jorge, Carlos Arteta, Kenny McCormick, Andrew Zisserman, Lionel Tarassenko
2019 Physiological Measurement  
Our approach allows cardio-respiratory signals to be continuously derived from the patient's skin during which the patient is present and no clinical intervention is undertaken.  ...  Sliding window operation In order to identify intervention periods in long video recordings (6-8 h per video), a sliding-window approach was used to process the video sequence with a window length of 5  ...  The pre-term infants were double-monitored with a digital video camera and the standard patient monitoring devices, without interrupting normal patient care.  ... 
doi:10.1088/1361-6579/ab525c pmid:31661680 pmcid:PMC7655150 fatcat:mqutorqjwfegdhhufmsojlgmdq

Deep Learning for Assistive Computer Vision [chapter]

Marco Leo, Antonino Furnari, Gerard G. Medioni, Mohan Trivedi, Giovanni M. Farinella
2019 Lecture Notes in Computer Science  
The paper is concluded with a discussion and insights for future directions.  ...  This paper revises the main advances in assistive computer vision recently fostered by deep learning.  ...  Acknowledgments This research has been supported by Piano della Ricerca 2016-2018 linea di Intervento 2 of DMI, University of Catania.  ... 
doi:10.1007/978-3-030-11024-6_1 fatcat:ehmobmgjcba2tkopvfdfxhyb4i

A Survey of Vision-Based Human Action Evaluation Methods

Qing Lei, Ji-Xiang Du, Hong-Bo Zhang, Shuang Ye, Duan-Sheng Chen
2019 Sensors  
The research on human action evaluation differs by aiming to design computation models and evaluation approaches for automatically assessing the quality of human actions.  ...  This paper presents a comprehensive survey of approaches and techniques in action evaluation research, including motion detection and preprocessing using skeleton data, handcrafted feature representation  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their valuable and insightful comments on an earlier version of this manuscript.  ... 
doi:10.3390/s19194129 pmid:31554229 pmcid:PMC6806217 fatcat:zgwsdv6xorfvxjck6rsjusezwe
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