Explanipedia

A Compact Quiet Sleep Estimator Based on Cardiorespiratory and Video Motion Features for Maturation Analysis in NICU Open

Houda Jebbari, Sandie Cabon, Patrick Pladys, Guy Carrault, Fabienne Porée · 2025

Monitoring sleep of premature infants is a vital aspect of clinical care, as it can reveal potential future pathologies and health issues. This study presents a novel approach to automatically estimate and track Quiet Sleep (QS) in 33 newb…

Day-to-day dynamics of fetal heart rate variability to detect chorioamnionitis in preterm premature rupture of membranes Open

Aline Taoum, Guy Carrault, Caroline Tesson, Maxime Esvan, Bruno Laviolle , et al. · 2025

Background Chorioamnionitis is recognized as a major consequence of preterm premature rupture of membranes (PPROM), and a frequent cause of neonatal morbidity and mortality. The association between fetal heart rate (FHR) and chorioamnionit…

Wavelet-Based Dual-Task Network Open

Fuzhi Wu, Jiasong Wu, Chen Zhang, Youyong Kong, Chunfeng Yang , et al. · 2024

In image processing, wavelet transform (WT) offers multiscale image decomposition, generating a blend of low-resolution approximation images and high-resolution detail components. Drawing parallels to this concept, we view feature maps in …

Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks Open

Fuzhi Wu, Jiasong Wu, Youyong Kong, Chunfeng Yang, Guanyu Yang , et al. · 2024

Deep learning and Convolutional Neural Networks (CNNs) have driven major transformations in diverse research areas. However, their limitations in handling low-frequency in-formation present obstacles in certain tasks like interpreting glob…

Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks Open

Fuzhi Wu, Jiasong Wu, Youyong Kong, Chunfeng Yang, Guanyu Yang , et al. · 2024

Deep learning and Convolutional Neural Networks (CNNs) have driven major transformations in diverse research areas. However, their limitations in handling low-frequency information present obstacles in certain tasks like interpreting globa…

Early detection of late-onset neonatal sepsis from noninvasive biosignals using deep learning: A multicenter prospective development and validation study Open

Antti Kallonen, Milla Juutinen, Alpo Värri, Guy Carrault, Patrick Pladys , et al. · 2024

Spatial-Enhanced Multi-Level Wavelet Patching in Vision Transformers Open

Fuzhi Wu, Jiasong Wu, Huazhong Shu, Guy Carrault, Lotfi Senhadji · 2024

By seamlessly integrating wavelet transforms into the image patching stage of ViT, we leverage the power of multi-level wavelet transforms to decompose images into a diverse array of frequency-domain features. These features, integrated wi…

Promote Competency-Based Training Approach in Quality, Regulatory and Clinical Affairs to Improve MD/IVDD Safety and Performance Open

Lionel Pazart, V. Armbrüster, Debora Monin, J D Mehrkens, Monique Borel , et al. · 2024

International audience

A Priori Acceptability of a Multimodal System for the Early Detection of Frailty in Older Adults Open

Joaquim Prud’homm, F. Lemoine, Manuel Abbas, Guy Carrault, Dominique Somme , et al. · 2023

Functional Age Estimation Through Neonatal Motion Characterization Using Continuous Video Recordings Open

Sandie Cabon, Raphaël Weber, Antoine Simon, Patrick Pladys, Fabienne Porée , et al. · 2022

The follow-up of the development of the premature baby is a major component of its clinical care since it has been shown that it can reveal a pathology. However, no method allowing an automated and continuous monitoring of this development…

Validity of Ultra-Short-Term HRV Analysis Using PPG—A Preliminary Study Open

Aline Taoum, Alexis Bisiaux, Florian Tilquin, Yann Le Guillou, Guy Carrault · 2022

Continuous measurement of heart rate variability (HRV) in the short and ultra-short-term using wearable devices allows monitoring of physiological status and prevention of diseases. This study aims to evaluate the agreement of HRV features…

Impact of long-lasting moderate-intensity stage cycling event on cardiac function in young female athletes: A case study Open

Solène Le Douairon Lahaye, Gaëlle Kervio, Vincent Ménard, Anna Barrero, Thibault Lachard , et al. · 2022

Purpose Effects of intense and/or prolonged exercise have been studied extensively in male athletes. Nevertheless, data are scare on the effect of long duration events on cardiac function in female athletes. Our aim was to investigate the …

Convolutional modulation theory: A bridge between convolutional neural networks and signal modulation theory Open

Fuzhi Wu, Jiasong Wu, Youyong Kong, Chunfeng Yang, Guanyu Yang , et al. · 2022

MonEco: a Novel Health Monitoring Ecosystem to Predict Respiratory and Cardiovascular Disorders Open

Remo Lazazzera, Guy Carrault · 2022

Detecting change in the routine of the elderly Open

Soumaya Msaad, Yannick Wend Kuni Zoetgnande, Jean‐Louis Dillenseger, Guy Carrault · 2022

International audience

Extraction of Premature Newborns’ Spontaneous Cries in the Real Context of Neonatal Intensive Care Units Open

Sandie Cabon, Bertille Met-Montot, Fabienne Porée, Olivier Rosec, Antoine Simon , et al. · 2022

Cry analysis is an important tool to evaluate the development of preterm infants. However, the context of Neonatal Intensive Care Units is challenging, since a wide variety of sounds can occur (e.g., alarms and adult voices). In this paper…

Cardiorespiratory alterations in a newborn ovine model of systemic viral inflammation Open

Stéphanie Nault, Sophie Tremblay, Roqaya Imane, Sally Al-Omar, Charlène Nadeau , et al. · 2022

Proposal for a Home Sleep Monitoring Platform Employing a Smart Glove Open

Remo Lazazzera, Pablo Laguna, Eduardo Gil, Guy Carrault · 2021

The present paper proposes the design of a sleep monitoring platform. It consists of an entire sleep monitoring system based on a smart glove sensor called UpNEA worn during the night for signals acquisition, a mobile application, and a re…

Deleterious Effect of Participant Positioning on the Acceptability and Acceptance of a Wellness Management System under Development Open

F. Lemoine, Kévin Nadarajah, Guy Carrault, A. Guguen-Allain, Alain Somat · 2021

Managing everyday wellness using sensors requires user buy-in and acceptance. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used to measure at D-0 the acceptability (a priori), and at D-21 the acceptance of an ambulato…

Interest of the minimum edit distance to detect behaviour change of the elderly person Open

Soumaya Msaad, Jean‐Louis Dillenseger, Guy Carrault · 2021

In this article, a solution to detect the change of behaviour of the elderly person based on the person's activities of daily living is proposed. This work is based on the hypothesis that the person attaches importance to a rhythmic sequen…

Correction to: Criteria for assessing the quality of clinical practice guidelines in paediatrics and neonatology: a mixed-method study Open

Joanna Dagard, Nadia Mazille-Orfanos, Nawras Georgi, Intissar Dechicha, Guy Carrault , et al. · 2021

Criteria for assessing the quality of clinical practice guidelines in paediatrics and neonatology: a mixed-method study Open

Joanna Dagard, Nadia Mazille-Orfanos, Nawras Georgi, Intissar Dechicha, Guy Carrault , et al. · 2021

Evaluation of Maturation in Preterm Infants Through an Ensemble Machine Learning Algorithm Using Physiological Signals Open

Cristhyne León, Sandie Cabon, Hugues Patural, Géraldine Gascoin, Cyril Flamant , et al. · 2021

This study was designed to test if heart rate variability (HRV) data from preterm and full-term infants could be used to estimate their functional maturational age (FMA), using a machine learning model. We propose that the FMA, and its dev…

Early bradycardia detection and therapeutic interventions in preterm infant monitoring Open

Matthieu Doyen, Alfredo Hernández, Cyril Flamant, Antoine Defontaine, Géraldine Favrais , et al. · 2021

Comparison of Activity Monitors Accuracy in Assessing Intermittent Outdoor Walking Open

Aline Taoum, Ségolène Chaudru, Pierre‐Yves de Müllenheim, Florian Congnard, Mathieu Emily , et al. · 2021

Purpose This study aimed to determine and compare the accuracy of different activity monitors in assessing intermittent outdoor walking in both healthy and clinical populations through the development and validation of processing methodolo…

Preterm Newborn Presence Detection in Incubator and Open Bed Using Deep Transfer Learning Open

Raphaël Weber, Sandie Cabon, Antoine Simon, Fabienne Porée, Guy Carrault · 2021

Video-based motion analysis recently appeared to be a promising approach in neonatal intensive care units for monitoring the state of preterm newborns since it is contact-less and noninvasive. However it is important to remove periods when…

Diagnosis of Neonatal Late-Onset Infection in Very Preterm Infant: Inter-Observer Agreement and International Classifications Open

Gaelle Bury, Stéphanie Leroux, Cristhyne León, Christèle Gras‐Le Guen, Delphine Mitanchez , et al. · 2021

Background: The definition of late-onset bacterial sepsis (LOS) in very preterm infants is not unified. The objective was to assess the concordance of LOS diagnosis between experts in neonatal infection and international classifications an…

Voxyvi: A system for long-term audio and video acquisitions in neonatal intensive care units Open

Sandie Cabon, Fabienne Porée, G. Cuffel, Olivier Rosec, F. Geslin , et al. · 2021

Additional file 1 of Criteria for assessing the quality of clinical practice guidelines in paediatrics and neonatology: a mixed-method study Open

Joanna Dagard, Mazille-Orfanos Nadia, Georgi Nawras, Dechicha Intissar, Guy Carrault , et al. · 2021

Additional file 1. Hierarchical clustering.

Additional file 1 of Criteria for assessing the quality of clinical practice guidelines in paediatrics and neonatology: a mixed-method study Open

Joanna Dagard, Nadia Mazille-Orfanos, Nawras Georgi, Intissar Dechicha, Guy Carrault , et al. · 2021

Additional file 1. Hierarchical clustering.

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