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Respiratory rate (RR) can be estimated from the photoplethysmogram (PPG) recorded by optical sensors in wearable devices. The fusion of estimates from different PPG features has lead to an increase in accuracy, but also reduced the numbers…

Signal Processing · Electrical Eng. & Systems 2020-12-03 Jia Zhang , Gaetano Scebba , Walter Karlen

Apnea-bradycardia is one of the major clinical early indicators of late-onset sepsis occurring in approximately 7% to 10% of all neonates and in more than 25% of very low birth weight infants in NICU. The objective of this paper was to…

Quantitative Methods · Quantitative Biology 2016-05-18 Yuan Wang , Guy Carrault , Alain Beuchee , Nathalie Costet , Huazhong Shu , Lotfi Senhadji

We develop and evaluate a respiratory rate estimation algorithm that utilizes data from pressure-sensitive mat (PSM) technology for continuous patient monitoring in neonatal intensive care units (NICU). An analysis of the random effect of…

Signal Processing · Electrical Eng. & Systems 2018-05-02 S. Nizami , A. Bekele , M. Hozayen , K. Greenwood , J. Harrold , J. R. Green

Much of the information of breathing is contained within the photoplethysmography (PPG) signal, through changes in venous blood flow, heart rate and stroke volume. We aim to leverage this fact, by employing a novel deep learning framework…

Image and Video Processing · Electrical Eng. & Systems 2022-12-27 Harry J. Davies , Danilo P. Mandic

Motivation: In many fMRI studies, respiratory signals are often missing or of poor quality. Therefore, it could be highly beneficial to have a tool to extract respiratory variation (RV) waveforms directly from fMRI data without the need for…

Machine Learning · Computer Science 2024-05-02 Abdoljalil Addeh , Fernando Vega , Rebecca J. Williams , G. Bruce Pike , M. Ethan MacDonald

Non-invasive methods to measure brain activity are important to understand cognitive processes in the human brain. A prominent example is functional magnetic resonance imaging (fMRI), which is a noisy measurement of a delayed signal that…

Neurons and Cognition · Quantitative Biology 2020-08-17 Hans-Christian Ruiz-Euler , Jose R. Ferreira Marques , Hilbert J. Kappen

The fetal cortical plate undergoes drastic morphological changes throughout early in utero development that can be observed using magnetic resonance (MR) imaging. An accurate MR image segmentation, and more importantly a topologically…

Image and Video Processing · Electrical Eng. & Systems 2024-10-30 Priscille de Dumast , Hamza Kebiri , Chirine Atat , Vincent Dunet , Mériam Koob , Meritxell Bach Cuadra

We present a novel computerized fetal heart rate intrapartum algorithm for early and individualized prediction of fetal cardiovascular decompensation, a key event in the causal chain leading to brain injury. This real-time machine learning…

Quantitative Methods · Quantitative Biology 2021-04-21 Nathan Gold , Christophe L. Herry , Xiaogang Wang , Martin G. Frasch

In living organisms, the natural motion caused by the heartbeat, breathing, or muscle movements leads to the deformation of tissue caused by translation and stretching of the tissue structure. This effect results in the displacement or…

Hypertensive disorders of pregnancy remain a leading cause of maternal and fetal morbidity worldwide, yet diagnosis relies on intermittent cuff-based blood pressure measurements that are prone to bias and fail to capture continuous…

Computational fluid dynamics (CFD) models of blood flow in the left ventricle (LV) and aorta are important tools for analyzing the mechanistic links between myocardial deformation and flow patterns. Typically, the use of image-based…

Early detection of non-small cell lung cancer (NSCLC) is critical for improving patient outcomes, and novel approaches are needed to facilitate early diagnosis. In this study, we explore the use of automatic cough analysis as a…

This paper addresses the problem of infants' cry fundamental frequency estimation. The fundamental frequency is estimated using a modified simple inverse filtering tracking (SIFT) algorithm. The performance of the modified SIFT is studied…

Sound · Computer Science 2010-09-16 Dror Lederman

Autoregressive language models (ARMs) deliver strong likelihoods, but are inherently serial: they generate one token per forward pass, which limits throughput and inflates latency for long sequences. Diffusion Language Models (DLMs)…

Computation and Language · Computer Science 2026-04-14 Amin Karimi Monsefi , Nikhil Bhendawade , Manuel Rafael Ciosici , Dominic Culver , Yizhe Zhang , Irina Belousova

Neuroimaging-based prediction methods for intelligence and cognitive abilities have seen a rapid development in literature. Among different neuroimaging modalities, prediction based on functional connectivity (FC) has shown great promise.…

Neurons and Cognition · Quantitative Biology 2023-07-20 Yang Li , Xin Ma , Raj Sunderraman , Shihao Ji , Suprateek Kundu

Continuous monitoring of respiratory activity is desirable in many clinical applications to detect respiratory events. Non-contact monitoring of respiration can be achieved with near- and far-infrared spectrum cameras. However, current…

Signal Processing · Electrical Eng. & Systems 2020-06-02 Gaetano Scebba , Giulia Da Poian , Walter Karlen

The fetal electrocardiogram (fECG) was first recorded from the maternal abdominal surface in the early 1900s. During the past fifty years, the most advanced electronics technologies and signal processing algorithms have been used to convert…

Quantitative Methods · Quantitative Biology 2021-12-28 Reza Sameni

Aims. Forbush decrease (FD) is a transient decrease followed by a gradual recovery in the observed galactic cosmic ray intensity. We seek to understand the relationship between the FDs and near-Earth interplanetary magnetic field (IMF)…

Solar and Stellar Astrophysics · Physics 2015-07-29 K. P. Arunbabu , H. M. Antia , S. R. Dugad , S. K. Gupta , Y. Hayashi , S. Kawakami , P. K. Mohanty , A. Oshima , P. Subramanian

Hypertension and atrial fibrillation (AF) often coexist in critically ill patients, significantly increasing mortality rates in the ICU. Early identification of high-risk individuals is crucial for targeted interventions. However, limited…

Applications · Statistics 2025-06-19 Shuheng Chen , Yong Si , Junyi Fan , Li Sun , Greg Placencia , Elham Pishgar , Kamiar Alaei , Maryam Pishgar

We present a robust technique for calculating regional volume changes within the lung from X-ray radiograph sequences captured during ventilation, without the use of computed tomography (CT). This technique is based on the change in…