TY - JOUR
T1 - A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals
AU - Parlato, Salvatore
AU - Centracchio, Jessica
AU - Cinotti, Eliana
AU - Manzi, Maria Virginia
AU - Canciello, Grazia
AU - Prastaro, Maria
AU - Lembo, Maria
AU - Brandwood, Benjamin M.
AU - Gargiulo, Gaetano D.
AU - Bifulco, Paolo
AU - Esposito, Giovanni
AU - Izzo, Raffaele
AU - Andreozzi, Emilio
PY - 2025/12
Y1 - 2025/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=105012888699&partnerID=8YFLogxK
U2 - 10.1038/s41597-025-05694-2
DO - 10.1038/s41597-025-05694-2
M3 - Article
AN - SCOPUS:105012888699
SN - 2052-4463
VL - 12
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 1370
ER -