{
  "abstract": "The study aimed to develop a seismocardiograph (SCG)- based algorithm and assess its diagnostic performance in the detection of heart failure (HF). A total of 218 subjects were included: 198 with suspected HF and 20 with known HF with reduced ejection fraction (HFrEF) were included for testing only. Assessments were conducted using SCG, N-terminal pro b-type natriuretic peptide (NT-proBNP), electrocardiogram, NYHA classification and echocardiography. SCG-based algorithms, “AnyHF score” were developed to identify all subtypes of HF and “HFrEF-score” to identify HFrEF. Diagnostic accuracy was assessed using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the area under the receiver-operating characteristic curve (AUC-ROC). The AnyHF score demonstrated an AUC of 82%, sensitivity of 90.9%, specificity of 43.8%, NPV of 87.5% and PPV of 52.6% in detecting HF versus no HF. A balanced comparative analysis was performed between NT-proBNP and the HFrEF-score for detecting HFrEF versus no HF. NT-proBNP demonstrated an AUC of 94.7%, sensitivity 94.1%, specificity 68.8%, NPV 99%, and PPV 27.1%. The HFrEF-score showed an AUC of 92.9%, sensitivity 88.2%, specificity 92% (p < 0.001), NPV 98.4%, and PPV 57.7% (p = 0.007). The SCG-scores also categorized 71 patients (51%) from the no HF group, referred on suspicion of HF, as minimal risk of HF. This study suggests that SCG has potential to aid in the diagnostic process of HF. The SCG-based algorithms “AnyHF-score” and “HFrEF-score” demonstrated high diagnostic performance in identifying HF. Author summary: In this study, we explored a new way to detect heart failure using a small device that can measure the vibrations of the chest caused by the beating heart. Heart failure is a common condition in which the heart cannot pump blood effectively, and it can be difficult to diagnose early with standard tests. We developed a computer-based method that analyzes these chest vibrations to identify signs of heart failure and to distinguish between different types of condition.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark",
    "Department of Clinical Medicine, Aalborg University, AAU, Aalborg, Denmark",
    "Department of Health Science and Technology, Aalborg University AAU, Aalborg, Denmark",
    "Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark",
    "Department of Cardiology, Odense University Hospital, Odense, Denmark"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 10,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Ahmad Agam"
    },
    {
      "affs": [
        1
      ],
      "name": "Emil Korsgaard"
    },
    {
      "affs": [
        2
      ],
      "name": "Troels Yding Haugstrup"
    },
    {
      "affs": [
        3
      ],
      "name": "Kasper Janus Grønn Emerek"
    },
    {
      "affs": [
        4
      ],
      "name": "Maria Weinkouff Pedersen"
    },
    {
      "name": "Massar Omar"
    },
    {
      "name": "Jacob Eifer Møller"
    },
    {
      "name": "Kristian Kragholm"
    },
    {
      "name": "Samuel Emil Schmidt"
    },
    {
      "name": "Peter Søgaard"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/19st49vexv7dh.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pdig.0001685",
  "fulltext_url": "https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0001685",
  "id": "19st49vexv7dh",
  "issns": [
    "2767-3170"
  ],
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  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2705|Heart Failure Treatment and Management"
    ],
    [
      "plos",
      "/Biology and life sciences/Anatomy/Cardiovascular anatomy/Heart"
    ],
    [
      "plos",
      "/Medicine and health sciences/Anatomy/Cardiovascular anatomy/Heart"
    ],
    [
      "plos",
      "/Medicine and health sciences/Cardiology/Ejection fraction"
    ],
    [
      "plos",
      "/Medicine and health sciences/Cardiology/Heart failure"
    ],
    [
      "plos",
      "/Medicine and health sciences/Diagnostic medicine"
    ],
    [
      "plos",
      "/Medicine and health sciences/Epidemiology/Medical risk factors"
    ],
    [
      "plos",
      "/Physical sciences/Mathematics/Applied mathematics/Algorithms"
    ],
    [
      "plos",
      "/Physical sciences/Physics/Classical mechanics/Vibration"
    ],
    [
      "plos",
      "/Research and analysis methods/Bioassays and physiological analysis/Electrophysiological techniques/Cardiac electrophysiology/Electrocardiography"
    ],
    [
      "plos",
      "/Research and analysis methods/Simulation and modeling/Algorithms"
    ]
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  "pdf_url": "https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0001685&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-10",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/19st49vexv7dh.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:56Z",
      "native_id": "10.1371/journal.pdig.0001685",
      "source": "plos",
      "url": "https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0001685"
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  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "plos:cardiology",
      "subfield": "cardiovascular"
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    {
      "field": "medicine",
      "origin": "plos:epidemiology",
      "subfield": "epidemiology-public-health"
    },
    {
      "field": "medicine",
      "origin": "plos:anatomy",
      "subfield": "physiology"
    }
  ],
  "title": "A feasibility study evaluating seismocardiography for the detection of heart failure",
  "title_text": "A feasibility study evaluating seismocardiography for the detection of heart failure",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:56Z",
  "url": "https://research.draconitic.com/paper/19st49vexv7dh",
  "venue": "PLOS Digital Health",
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}