Bodyseismography (BSG): Theoretical Foundation and Numerical Modeling
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.
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BibTeX
@misc{zhang2026bodyseismography,
title = {{Bodyseismography (BSG): Theoretical Foundation and Numerical Modeling}},
author = {Yuanyuan Zhang and Yuyan Wu and Sahas Biddappa and Yida Zhang and Jiayu Chen and Zixuan Zeng and Yixuan Li and Jiahui Li and Fei Dou and Zhenlin An and Younghoon Kwon and Hae Young Noh and WenZhan Song},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.35844},
eprint = {2610.35844},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.35844},
}
RIS
TY - UNPB
TI - Bodyseismography (BSG): Theoretical Foundation and Numerical Modeling
AU - Yuanyuan Zhang
AU - Yuyan Wu
AU - Sahas Biddappa
AU - Yida Zhang
AU - Jiayu Chen
AU - Zixuan Zeng
AU - Yixuan Li
AU - Jiahui Li
AU - Fei Dou
AU - Zhenlin An
AU - Younghoon Kwon
AU - Hae Young Noh
AU - WenZhan Song
PY - 2026
DA - 2026/10/28
PB - arXiv
DO - 10.48550/arxiv.2610.35844
UR - https://arxiv.org/abs/2610.35844
AB - 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.
ER -