Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
FOSTER is the first ever publicly available dataset of forcecardiography (FCG) signals with simultaneous recordings of conventional seismocardiography (SCG), phonocardiography (PCG), electrocardiography (ECG), and respiratory signals. The dataset contains recordings from 40 participants (20 males and 20 females) and aims to foster and facilitate research on non-invasive cardio-respiratory monitoring using mechanical sensors. All signals were acquired simultaneously to ensure precise temporal alignment for accurate analysis. Each recording lasts about 7 minutes and includes both long phases of quiet breathing and short phases of inspiratory and expiratory apneas. The open accessibility of the FOSTER dataset aims to facilitate advancements in unobtrusive cardio-respiratory patient monitoring, support the development of novel diagnostic tools and algorithms to detect specific events of the cardiac and respiratory cycles, and help researchers to explore the potential of combined electrical and mechanical cardiac monitoring.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12328590 | PMC |
| http://dx.doi.org/10.1038/s41597-025-05694-2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Two-week heart rate variability measurements and lung health: a cross-sectional analysis in the ARIC study.
Respir Med
September 2025
University of Minnesota, Minneapolis, MN, USA.
Background: Heart rate variability (HRV) is a measure of autonomic function that has been associated with worse lung function and worse respiratory health. Using data from a community-based cohort, we aimed to test if HRV is associated with lung function and self-reported chronic lung disease (CLD).
Methods: The Atherosclerosis Risk in Communities (ARIC) study is a community-based cohort that collected HRV measurements from 14-day continuous ECG patches and self-reported CLD at visit 6 (2016-2017).
Multisystem inflammatory syndrome in children (MIS-C) presenting with valvulitis, myocarditis, and QTc prolongation: A case report from Saudi Arabia.
Medicine (Baltimore)
August 2025
Kasralainy Faculty of Medicine, Cairo University, Cairo, Egypt.
Rationale: This case report highlights the complex clinical course and successful multidisciplinary management of a pediatric patient with multisystem inflammatory syndrome in children (MIS-C), who posed clinical dilemma at presentation. It underscores the ongoing clinical relevance of MIS-C as a post-Coronavirus disease 2019 sequelae and emphasizes the importance of maintaining a high index of suspicion for MIS-C in pediatric differential diagnoses, especially when symptoms overlap with other common conditions.
Patient Concerns: An 11-year-old previously healthy Saudi girl presented with gastrointestinal symptoms initially suggestive of acute appendicitis.
Artificial intelligence-based approaches for sleep-related breathing events identification using EEG and ECG signals.
Sleep Breath
September 2025
University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 70000, Vietnam.
Purposes: Sleep apnea or hypopnea is a sleep-related breathing disorder characterized by insufficient ventilation during sleep. Sleep apnea is classified into two major forms: obstructive sleep apnea (OSA) and central sleep apnea (CSA). The conventional diagnosis with Polysomnography (PSG) is time-consuming, uncomfortable, and costly in the clinical setting.
View Article and Find Full Text PDF[Evaluation method and system for aging effects of autonomic nervous system based on cross-wavelet transform cardiopulmonary coupling].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
August 2025
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, P. R. China.
Heart rate variability time and frequency indices are widely used in functional assessment for autonomic nervous system (ANS). However, this method merely analyzes the effect of cardiac dynamics, overlooking the effect of cardio-pulmonary interplays. Given this, the present study proposes a novel cardiopulmonary coupling (CPC) algorithm based on cross-wavelet transform to quantify cardio-pulmonary interactions, and establish an assessment system for ANS aging effects using wearable electrocardiogram (ECG) and respiratory monitoring devices.
View Article and Find Full Text PDFRespiratory monitoring and apnoea detection in paediatric and neonatal patients using a wearable accelerometer-based chest sensor: protocol for an observational diagnostic feasibility study.
BMJ Open
August 2025
Department of Paediatric Respiratory and Sleep Medicine, Royal Hospital for Children, Glasgow, UK.
Introduction: Accurate evaluation of respiratory rate and pattern is important in health and disease; however, it can be challenging in children and babies due to small size and poor tolerability of existing monitoring equipment. This protocol outlines a study evaluating the feasibility of collecting respiratory data using a chest-worn accelerometer-based motion sensor in paediatric patients at risk of apnoea, respiratory failure and sudden death.
Methods And Analysis: This is an observational feasibility study over a 2-year period.