{
  "abstract": "While digital health platforms increasingly deliver guided mindful breathing interventions via audio, the specific acoustic properties of the guidance are fundamentally ignored as potential active ingredients. This within-subject study implemented an unprecedented high-density experimental design to investigate how distinct, computationally engineered acoustic features (e.g., pitch, zero-crossing rate, natural background sounds) modulate acute cardiovascular, respiratory, and autonomic responses. To rigorously eliminate sex-related physiological variance, 21 meditation-naïve female university students completed 13 randomized audio sessions of a standardized 4-minute-and-5-second guided breathing practice (yielding 273 high-density recording epochs). Multiparametric biosignals, including pulse rate variability (PRV), respiratory dynamics, and electrodermal activity (EDA), were continuously recorded. Results demonstrated a robust reduction in blood pressure independent of audio conditions, confirming the fundamental efficacy of a single bout of spontaneous breath awareness. However, high-resolution analyses revealed a highly modular architecture where peripheral autonomic indices (EDA and PRV) were acutely sensitive to fine-grained acoustic features, specifically Mel-frequency cepstral coefficients (MFCCs). Furthermore, physiological coupling patterns reorganized dynamically depending strictly on the acoustic context. These indings fundamentally challenge the assumption that meditation audio is a neutral delivery medium, establishing acoustic parameters as potent, independent modulators of human autonomic reflexes for future digital therapeutics.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "name": "Jung-tzu Chang"
    },
    {
      "name": "Zai-Fu Yao"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4y13qjsfr447a.bib",
  "cited_by": 0,
  "doi": "10.31234/osf.io/5v7y3_v1",
  "fulltext_url": null,
  "id": "4y13qjsfr447a",
  "issns": [],
  "landing_url": "https://osf.io/preprints/psyarxiv/5v7y3_v1/",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "bepress",
      "Physiology"
    ],
    [
      "bepress",
      "Social and Behavioral Sciences"
    ],
    [
      "openalex",
      "2705|Heart Rate Variability and Autonomic Control"
    ]
  ],
  "openalex": "W7223294031",
  "pdf_url": "https://osf.io/5v7y3/download",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-23",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/4y13qjsfr447a.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:20Z",
      "native_id": "5v7y3",
      "source": "osf",
      "url": "https://osf.io/preprints/psyarxiv/5v7y3_v1/"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "bepress:Physiology",
      "subfield": "physiology"
    }
  ],
  "title": "Mel-frequency cepstral coefficients and spectral features directly drive micro-level autonomic reflexes during brief respiration practices",
  "title_text": "Mel-frequency cepstral coefficients and spectral features directly drive micro-level autonomic reflexes during brief respiration practices",
  "type": "preprint",
  "updated_at": "2026-10-30T12:19:20Z",
  "url": "https://research.draconitic.com/paper/4y13qjsfr447a",
  "venue": "PsyArXiv",
  "versions": []
}