Bodyseismography (BSG): Theoretical Foundation and Numerical Modeling

Bodyseismography (BSG) records cardiovascular vibrations transmitted through the body and a supporting bed, enabling contactless assessment of cardiac mechanics. Relating these vibrations to hemodynamic features requires separating cardiac excitation from the effects of body and bed transmission. We develop a source-transmission-measurement framework that couples myocardial contraction and vascular recoil to directional BSG observations. The theory connects stroke volume, cardiac output, and blood pressure to observation and target Jacobians, establishes a local first-order target-observability criterion, and characterizes how additional sensing axes reduce ambiguities under specified source and transmission uncertainties. Numerical modeling combines four-chamber cardiac mechanics, cardiac-to-body excitation, and calibrated body-bed operators. Across 27 participants, a multilayer finite-element model with calibrated frequency correction achieves median Pearson correlation coefficients of 0.865 for the vertical channel and 0.682 for the planar-sum channel in matched-window waveform reconstruction. Controlled stroke-volume perturbations show that transmission reshapes feature sensitivity, including a reversal of the vertical feature association in 8 of 27 participant-specific transfer models. These analytical and numerical studies explain how cardiovascular sources and mechanical propagation jointly shape triaxial BSG and provide a physical basis for relating directional vibration features to hemodynamic changes.

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Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-26
DOI
https://doi.org/10.48550/arxiv.2610.35844
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
preprint
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preprint

Bodyseismography (BSG): Theoretical Foundation and Numerical Modeling

Zhenlin An, Zixuan Zeng, Yuyan Wu, Hae Young Noh et al.
arXiv (Cornell University)
Non-Invasive Vital Sign Monitoring
preprint

Bodyseismography (BSG): Theoretical Foundation and Numerical Modeling

Zhenlin An, Zixuan Zeng, Yuyan Wu, Hae Young Noh, Wenli Song, Yida Zhang, Jiayu Chen, Fei Dou, Jiahui Li, Yuanyuan Zhang, Sahas Biddappa, Yixuan Li
preprint en

Abstract

Bodyseismography (BSG) records cardiovascular vibrations transmitted through the body and a supporting bed, enabling contactless assessment of cardiac mechanics. Relating these vibrations to hemodynamic features requires separating cardiac excitation from the effects of body and bed transmission. We develop a source-transmission-measurement framework that couples myocardial contraction and vascular recoil to directional BSG observations. The theory connects stroke volume, cardiac output, and blood pressure to observation and target Jacobians, establishes a local first-order target-observability criterion, and characterizes how additional sensing axes reduce ambiguities under specified source and transmission uncertainties. Numerical modeling combines four-chamber cardiac mechanics, cardiac-to-body excitation, and calibrated body-bed operators. Across 27 participants, a multilayer finite-element model with calibrated frequency correction achieves median Pearson correlation coefficients of 0.865 for the vertical channel and 0.682 for the planar-sum channel in matched-window waveform reconstruction. Controlled stroke-volume perturbations show that transmission reshapes feature sensitivity, including a reversal of the vertical feature association in 8 of 27 participant-specific transfer models. These analytical and numerical studies explain how cardiovascular sources and mechanical propagation jointly shape triaxial BSG and provide a physical basis for relating directional vibration features to hemodynamic changes.

arXiv (Cornell University)
University of Georgia (US), Stanford University (US)
Non-Invasive Vital Sign Monitoring
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Bodyseismography (BSG): Theoretical Foundation and Numerical Modeling — Zhenlin An, Zixuan Zeng, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS