{
  "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.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.35844",
  "author_total": 13,
  "authors": [
    {
      "name": "Yuanyuan Zhang"
    },
    {
      "name": "Yuyan Wu"
    },
    {
      "name": "Sahas Biddappa"
    },
    {
      "name": "Yida Zhang"
    },
    {
      "name": "Jiayu Chen"
    },
    {
      "name": "Zixuan Zeng"
    },
    {
      "name": "Yixuan Li"
    },
    {
      "name": "Jiahui Li"
    },
    {
      "name": "Fei Dou"
    },
    {
      "name": "Zhenlin An"
    },
    {
      "name": "Younghoon Kwon"
    },
    {
      "name": "Hae Young Noh"
    },
    {
      "name": "WenZhan Song"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ffwvv95gg3sk9.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.35844",
  "fulltext_url": null,
  "id": "ffwvv95gg3sk9",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.35844",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "eess.SP"
    ],
    [
      "arxiv",
      "physics.med-ph"
    ],
    [
      "openalex",
      "2204|Non-Invasive Vital Sign Monitoring"
    ]
  ],
  "openalex": "W7224020174",
  "pdf_url": "https://arxiv.org/pdf/2610.35844",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-28",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/ffwvv95gg3sk9.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:36:22Z",
      "native_id": "2610.35844",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.35844"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.med-ph",
      "subfield": "biological-medical"
    }
  ],
  "title": "Bodyseismography (BSG): Theoretical Foundation and Numerical Modeling",
  "title_text": "Bodyseismography (BSG): Theoretical Foundation and Numerical Modeling",
  "type": "preprint",
  "updated_at": "2026-11-01T12:20:44Z",
  "url": "https://research.draconitic.com/paper/ffwvv95gg3sk9",
  "venue": "arXiv",
  "versions": []
}