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Related papers: Object Detection During Newborn Resuscitation Acti…

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Objective: Birth asphyxia is one of the leading causes of neonatal deaths. A key for survival is performing immediate and continuous quality newborn resuscitation. A dataset of recorded signals during newborn resuscitation, including…

Image and Video Processing · Electrical Eng. & Systems 2023-03-15 Øyvind Meinich-Bache , Simon Lennart Austnes , Kjersti Engan , Ivar Austvoll , Trygve Eftestøl , Helge Myklebust , Simeon Kusulla , Hussein Kidanto , Hege Ersdal

Sleep apnea is a breathing disorder where a person repeatedly stops breathing in sleep. Early detection is crucial for infants because it might bring long term adversities. The existing accurate detection mechanism (pulse oximetry) is a…

Signal Processing · Electrical Eng. & Systems 2021-05-11 Gihan Jayatilaka , Harshana Weligampola , Suren Sritharan , Pankayraj Pathmanathan , Roshan Ragel , Isuru Nawinne

Respiration is a critical vital sign for infants, and continuous respiratory monitoring is particularly important for newborns. However, neonates are sensitive and contact-based sensors present challenges in comfort, hygiene, and skin…

Image and Video Processing · Electrical Eng. & Systems 2023-07-26 Sai Kumar Reddy Manne , Shaotong Zhu , Sarah Ostadabbas , Michael Wan

The interactions between human and objects are important for recognizing object-centric actions. Existing methods usually adopt a two-stage pipeline, where object proposals are first detected using a pretrained detector, and then are fed to…

Computer Vision and Pattern Recognition · Computer Science 2024-04-19 Xunsong Li , Pengzhan Sun , Yangcen Liu , Lixin Duan , Wen Li

Around 5-10\% of newborns need assistance to start breathing. Currently, there is a lack of evidence-based research, objective data collection, and opportunities for learning from real newborn resuscitation emergency events. Generating and…

Computer Vision and Pattern Recognition · Computer Science 2025-01-31 Jorge García-Torres , Øyvind Meinich-Bache , Anders Johannessen , Siren Rettedal , Vilde Kolstad , Kjersti Engan

This paper addresses the problem of detecting relevant motion caused by objects of interest (e.g., person and vehicles) in large scale home surveillance videos. The traditional method usually consists of two separate steps, i.e., detecting…

Computer Vision and Pattern Recognition · Computer Science 2018-01-09 Ruichi Yu , Hongcheng Wang , Larry S. Davis

Perinatal Asphyxia is one of the top three causes of infant mortality in developing countries, resulting to the death of about 1.2 million newborns every year. At its early stages, the presence of asphyxia cannot be conclusively determined…

Applications · Statistics 2018-08-28 Charles C. Onu

Action recognition is an important component to improve autonomy of physical rehabilitation devices, such as wearable robotic exoskeletons. Existing human action recognition algorithms focus on adult applications rather than pediatric ones.…

Computer Vision and Pattern Recognition · Computer Science 2022-10-13 Amel Dechemi , Vikarn Bhakri , Ipsita Sahin , Arjun Modi , Julya Mestas , Pamodya Peiris , Dannya Enriquez Barrundia , Elena Kokkoni , Konstantinos Karydis

Over the last few decades, Lung Ultrasound (LUS) has been increasingly used to diagnose and monitor different lung diseases in neonates. It is a non invasive tool that allows a fast bedside examination while minimally handling the neonate.…

Computer Vision and Pattern Recognition · Computer Science 2021-05-24 Rodina Bassiouny , Adel Mohamed , Karthi Umapathy , Naimul Khan

The ultimate goal of a baby detection task concerns detecting the presence of a baby and other objects in a sequence of 2D images, tracking them and understanding the semantic contents of the scene. Recent advances in deep learning and…

Computer Vision and Pattern Recognition · Computer Science 2018-08-28 Somnuk Phon-Amnuaisuk , Ken T. Murata , Praphan Pavarangkoon , Kazunori Yamamoto , Takamichi Mizuhara

Human motion detection is getting considerable attention in the field of Artificial Intelligence (AI) driven healthcare systems. Human motion can be used to provide remote healthcare solutions for vulnerable people by identifying particular…

Signal Processing · Electrical Eng. & Systems 2020-08-07 William Taylor , Syed Aziz Shah , Kia Dashtipour , Adnan Zahid , Qammer H. Abbasi , Muhammad Ali Imran

The development of contactless respiration monitoring for infants could enable advances in the early detection and treatment of breathing irregularities, which are associated with neurodevelopmental impairments and conditions like sudden…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Liyang Song , Hardik Bishnoi , Sai Kumar Reddy Manne , Sarah Ostadabbas , Briana J. Taylor , Michael Wan

Detecting tremors is challenging for both humans and machines. Infants exposed to opioids during pregnancy often show signs and symptoms of withdrawal after birth, which are easy to miss with the human eye. The constellation of clinical…

Computer Vision and Pattern Recognition · Computer Science 2021-10-01 Girik Malik , Ish K. Gulati

Every year, 3 million newborns die within the first month of life. Birth asphyxia and other breathing-related conditions are a leading cause of mortality during the neonatal phase. Current diagnostic methods are too sophisticated in terms…

Neonatal respiratory distress is a common condition that if left untreated, can lead to short- and long-term complications. This paper investigates the usage of digital stethoscope recorded chest sounds taken within 1min post-delivery, to…

Audio and Speech Processing · Electrical Eng. & Systems 2022-10-13 Ethan Grooby , Chiranjibi Sitaula , Kenneth Tan , Lindsay Zhou , Arrabella King , Ashwin Ramanathan , Atul Malhotra , Guy A. Dumont , Faezeh Marzbanrad

Multiple Object Tracking (MOT) focuses on modeling the relationship of detected objects among consecutive frames and merge them into different trajectories. MOT remains a challenging task as noisy and confusing detection results often…

Computer Vision and Pattern Recognition · Computer Science 2023-02-07 Tao Wang , Kean Chen , Weiyao Lin , John See , Zenghui Zhang , Qian Xu , Xia Jia

Voice Activity Detection (VAD) refers to the task of identification of regions of human speech in digital signals such as audio and video. While VAD is a necessary first step in many speech processing systems, it poses challenges when there…

Machine Learning · Computer Science 2020-08-24 Arnab Kumar Mondal , Prathosh A. P

Approximately 10% of newborns need some assistance to start breathing and 5\% proper ventilation. It is crucial that interventions are initiated as soon as possible after birth. Accurate documentation of Time of Birth (ToB) is thereby…

Computer Vision and Pattern Recognition · Computer Science 2025-02-10 Jorge García-Torres , Øyvind Meinich-Bache , Siren Rettedal , Kjersti Engan

We present a general framework and method for simultaneous detection and segmentation of an object in a video that moves (or comes into view of the camera) at some unknown time in the video. The method is an online approach based on motion…

Computer Vision and Pattern Recognition · Computer Science 2016-05-25 Dong Lao , Ganesh Sundaramoorthi

Patient monitoring in intensive care units, although assisted by biosensors, needs continuous supervision of staff. To reduce the burden on staff members, IT infrastructures are built to record monitoring data and develop clinical decision…

Computer Vision and Pattern Recognition · Computer Science 2023-08-16 Raphael Emberger , Jens Michael Boss , Daniel Baumann , Marko Seric , Shufan Huo , Lukas Tuggener , Emanuela Keller , Thilo Stadelmann
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