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一个包含同步心冲击图、心音、心电图和呼吸信号的心力描记术数据集。

A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals.

作者信息

Parlato Salvatore, Centracchio Jessica, Cinotti Eliana, Manzi Maria Virginia, Canciello Grazia, Prastaro Maria, Lembo Maria, Brandwood Benjamin M, Gargiulo Gaetano D, Bifulco Paolo, Esposito Giovanni, Izzo Raffaele, Andreozzi Emilio

机构信息

Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy.

Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Sergio Pansini, 5, 80131, Naples, Italy.

出版信息

Sci Data. 2025 Aug 6;12(1):1370. doi: 10.1038/s41597-025-05694-2.

DOI:10.1038/s41597-025-05694-2
PMID:40769990
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12328590/
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.

摘要

FOSTER是首个公开可用的心力图(FCG)信号数据集,同时记录了传统心震图(SCG)、心音图(PCG)、心电图(ECG)和呼吸信号。该数据集包含40名参与者(20名男性和20名女性)的记录,旨在促进和推动使用机械传感器进行无创心肺监测的研究。所有信号均同时采集,以确保精确的时间对齐以便进行准确分析。每次记录持续约7分钟,包括长时间的安静呼吸阶段以及吸气和呼气暂停的短阶段。FOSTER数据集的开放获取旨在促进无创心肺患者监测方面的进展,支持开发用于检测心脏和呼吸周期特定事件的新型诊断工具和算法,并帮助研究人员探索联合心电和心机械监测的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/728f099f8401/41597_2025_5694_Fig11_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/728f099f8401/41597_2025_5694_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/064471d47829/41597_2025_5694_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/c78cdb77f7a8/41597_2025_5694_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/893c8a8f11af/41597_2025_5694_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/12ea7a951349/41597_2025_5694_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/f304bf889a24/41597_2025_5694_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/4c482e12a36d/41597_2025_5694_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/fd9a8807018e/41597_2025_5694_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/5bb72cce193c/41597_2025_5694_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/06239b106f2c/41597_2025_5694_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/1beeec15dd0a/41597_2025_5694_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c31c/12328590/728f099f8401/41597_2025_5694_Fig11_HTML.jpg

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本文引用的文献

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A Flexible PVDF Sensor for Forcecardiography.一种用于心力图描记术的柔性聚偏二氟乙烯传感器。
Sensors (Basel). 2025 Mar 6;25(5):1608. doi: 10.3390/s25051608.
2
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Phys Eng Sci Med. 2025 Mar 13. doi: 10.1007/s13246-025-01531-3.
3
An open-access simultaneous electrocardiogram and phonocardiogram database.一个开放获取的同时心电图和心音图数据库。
Physiol Meas. 2024 May 15;45(5). doi: 10.1088/1361-6579/ad43af.
4
Accurate Localization of First and Second Heart Sounds via Template Matching in Forcecardiography Signals.基于心音信号的模板匹配实现第一和第二心音的准确定位。
Sensors (Basel). 2024 Feb 27;24(5):1525. doi: 10.3390/s24051525.
5
ECG-Free Heartbeat Detection in Seismocardiography and Gyrocardiography Signals Provides Acceptable Heart Rate Variability Indices in Healthy and Pathological Subjects.心冲击图和旋心动图信号中的无心电图心跳检测可在健康和病理受试者中提供可接受的心率变异性指数。
Sensors (Basel). 2023 Sep 27;23(19):8114. doi: 10.3390/s23198114.
6
Heartbeat Detection in Gyrocardiography Signals without Concurrent ECG Tracings.无同步心电图描记的旋心动图信号中的心跳检测。
Sensors (Basel). 2023 Jul 6;23(13):6200. doi: 10.3390/s23136200.
7
ECG-Free Heartbeat Detection in Seismocardiography Signals via Template Matching.基于模板匹配的心冲击图信号中无心电图心跳检测。
Sensors (Basel). 2023 May 12;23(10):4684. doi: 10.3390/s23104684.
8
Detection of Aortic Valve Opening and Estimation of Pre-Ejection Period in Forcecardiography Recordings.心力图记录中主动脉瓣开放的检测及射血前期的估计
Bioengineering (Basel). 2022 Feb 22;9(3):89. doi: 10.3390/bioengineering9030089.
9
Estimation of Changes in Intracardiac Hemodynamics Using Wearable Seismocardiography and Machine Learning in Patients With Heart Failure: A Feasibility Study.使用可穿戴地震心动图和机器学习估计心力衰竭患者心内血液动力学变化的可行性研究。
IEEE Trans Biomed Eng. 2022 Aug;69(8):2443-2455. doi: 10.1109/TBME.2022.3147066. Epub 2022 Jul 20.
10
A Novel Broadband Forcecardiography Sensor for Simultaneous Monitoring of Respiration, Infrasonic Cardiac Vibrations and Heart Sounds.一种用于同时监测呼吸、次声心脏振动和心音的新型宽带心力图传感器。
Front Physiol. 2021 Nov 18;12:725716. doi: 10.3389/fphys.2021.725716. eCollection 2021.