A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals
Executive Summary
The FOSTER dataset introduces the first publicly available collection of forcecardiography (FCG) signals recorded simultaneously with SCG, PCG, ECG, and respiratory signals from 40 healthy participants. The study validates the dataset's quality through signal-to-noise ratio (SNR) analysis and statistical comparisons of inter-beat and inter-breath intervals against reference signals, achieving high sensitivity and positive predictive values. This dataset enables advancements in non-invasive cardio-respiratory monitoring and supports the development of diagnostic algorithms for cardiac and respiratory cycle analysis.
Answer Machine Insights
Q: What is the primary novelty of the FOSTER dataset?
The FOSTER dataset is the first publicly available collection of forcecardiography signals recorded simultaneously with SCG, PCG, ECG, and respiratory signals.
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.
Q: How reliable are the FCG signals for heart rate monitoring?
FCG signals demonstrated high reliability with sensitivity and PPV values of up to 94% and 97%, respectively, for dHF-FCGPVDF signals.
A sensitivity and PPV of 94% and 97%, and of 93% and 97% were achieved, respectively, for dHF-FCGPVDF and dHF-FCGPZT signals.
Key Results
Mean SNR of ECG signals: 81.52 ± 1.25 dB.
Sensitivity and PPV for dHF-FCGPVDF signals: 94% and 97%, respectively.
Visual Evidence
Fig. 7 Statistical analyses on the inter-beat intervals (IBIs) obtained from HS-FCG signals (extracted from the PVDF and PZT sensor signal) and reference ECG signals: (a) results of regression and correlation analysis achieved from HS-FCGPVDF signal; (b) results of Bland–Altman analysis achieved from HS-FCGPVDF signal; (c) results of regression and correlation analysis achieved from HS-FCGPZT signal; (d) results of Bland–Altman analysis achieved from HS-FCGPZT signal.
Clinical Snapshot
Evidence Rating
Relevance
high Priority