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

JMIR Theme Issue: COVID-19 Special Issue (2394) Outbreak and Pandemic Preparedness and Management (1679) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Anxiety and Stress Disorders (1013) Natural Language Processing (650) New Methods (911) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (91)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24191, first published .
Measuring Stress in Health Professionals Over the Phone Using Automatic Speech Analysis During the COVID-19 Pandemic: Observational Pilot Study

Measuring Stress in Health Professionals Over the Phone Using Automatic Speech Analysis During the COVID-19 Pandemic: Observational Pilot Study

Measuring Stress in Health Professionals Over the Phone Using Automatic Speech Analysis During the COVID-19 Pandemic: Observational Pilot Study

Authors of this article:

Alexandra König1 Author Orcid Image ;   Kevin Riviere2 Author Orcid Image ;   Nicklas Linz3 Author Orcid Image ;   Hali Lindsay4 Author Orcid Image ;   Julia Elbaum2 Author Orcid Image ;   Roxane Fabre2 Author Orcid Image ;   Alexandre Derreumaux5 Author Orcid Image ;   Philippe Robert5 Author Orcid Image
Article Authors Cited by (13) Tweetations (11) Metrics

Journals

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  2. Iyer R, Meyer D. Detection of Suicide Risk Using Vocal Characteristics: Systematic Review. JMIR Biomedical Engineering 2022;7(2):e42386 View
  3. Arioli M, Rini J, Anguera-Singla R, Gazzaley A, Wais P. Validation of At-Home Application of a Digital Cognitive Screener for Older Adults. Frontiers in Aging Neuroscience 2022;14 View
  4. Manera V, Agüera-Ortiz L, Askenazy F, Dubois B, Corveleyn X, Cross L, Febvre-Richards E, Fabre R, Fernandez N, Foulon P, Gros A, Gueyraud C, Lebourhis M, Malléa P, Martinez L, Pancrazi M, Payne M, Robert V, Tamagno L, Thümmler S, Robert P. In-Person and Remote Workshops for People With Neurocognitive Disorders: Recommendations From a Delphi Panel. Frontiers in Aging Neuroscience 2022;13 View
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  6. König A, Mallick E, Tröger J, Linz N, Zeghari R, Manera V, Robert P. Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis. European Psychiatry 2021;64(1) View
  7. Gao X, Ma K, Yang H, Wang K, Fu B, Zhu Y, She X, Cui B. A rapid, non-invasive method for fatigue detection based on voice information. Frontiers in Cell and Developmental Biology 2022;10 View
  8. Lyu H, Imtiaz A, Zhao Y, Luo J. Human behavior in the time of COVID-19: Learning from big data. Frontiers in Big Data 2023;6 View
  9. Naranjo-Saucedo A, Escobar-Rodriguez G, Tabernero C, Cuadrado E, Parra-Calderon C, Arenas A. Mobile Health Requirements for the Occupational Health Assessment of Health Care Professionals: Delphi Study. JMIR Formative Research 2023;7:e40327 View
  10. Suri A, Hubbard Z, VanSwearingen J, Torres-Oviedo G, Brach J, Redfern M, Sejdic E, Rosso A. Fear of falling in community-dwelling older adults: What their gait acceleration pattern reveals. Computer Methods and Programs in Biomedicine 2024;244:108001 View