This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (3511) Respiratory Medicine (162) New Methods (1145) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1755) Usability of Apps and User Perceptions of mHealth (1200) Chronic Conditions (444)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68741, first published .
Respiratory-Responsive Vocal Biomarker for Asthma Exacerbation Monitoring: Prospective Cohort Study

Respiratory-Responsive Vocal Biomarker for Asthma Exacerbation Monitoring: Prospective Cohort Study

Respiratory-Responsive Vocal Biomarker for Asthma Exacerbation Monitoring: Prospective Cohort Study

Authors of this article:

Erik Larsen1 Author Orcid Image ;   Xinyu Song1 Author Orcid Image ;   Dale Joachim1 Author Orcid Image ;   Peter Y Ch'en2 Author Orcid Image ;   Samuel M Green3 Author Orcid Image ;   Emily Hunt2 Author Orcid Image ;   Savneet Kaur2, 3 Author Orcid Image ;   Robin Nag2 Author Orcid Image ;   Olivia Pisani2, 3 Author Orcid Image ;   Sherron Thomas2 Author Orcid Image ;   Victoria Adewunmi2, 3 Author Orcid Image ;   Carlo Lutz2, 3 Author Orcid Image ;   Babak Baghizadeh-Toosi2, 3 Author Orcid Image ;   Jonathan M Feldman2, 3, 4 Author Orcid Image ;   Sunit Jariwala2, 3 Author Orcid Image
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Journals

  1. Matheus Gauy M, Hitomi Koza N, Mikio Morita R, Rocha Stanzione G, Cândido Júnior A, Berti L, Levin A, Sabino E, Romani Fernandes Svartman F, Finger M. Contrasting deep learning audio models for direct respiratory insufficiency detection versus blood oxygen saturation estimation. Intelligence-Based Medicine 2026;13:100331 View