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

Development and Evaluation of Research Methods, Instruments and Tools (511) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Wearable Devices and Sensors (903) ENT (Ear, Nose, Throat) (29) Occupational Health and Ergonomics/Prevention at the Workplace (241) Development of Novel Medical Devices and Innovations for Existing Devices (83)

Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39789, first published .
Wearable Neck Surface Accelerometers for Occupational Vocal Health Monitoring: Instrument and Analysis Validation Study

Wearable Neck Surface Accelerometers for Occupational Vocal Health Monitoring: Instrument and Analysis Validation Study

Wearable Neck Surface Accelerometers for Occupational Vocal Health Monitoring: Instrument and Analysis Validation Study

Authors of this article:

Zhengdong Lei1 Author Orcid Image ;   Lisa Martignetti1 Author Orcid Image ;   Chelsea Ridgway2 Author Orcid Image ;   Simon Peacock3 Author Orcid Image ;   Jon T Sakata4, 5 Author Orcid Image ;   Nicole Y K Li-Jessen1, 5, 6, 7, 8 Author Orcid Image
Article Authors Cited by (6) Tweetations (5) Metrics

Journals

  1. Schaeffler F, Parry A, Beck J, Rees M, Schaeffler S, Whittaker T. Comparing Vocal Health and Attitudes to Voice care in Primary Teachers and Voiceover Artists – A Survey Study Using the Health Belief Model. Journal of Voice 2023 View
  2. Bottalico P, Nudelman C. Do-It-Yourself Voice Dosimeter Device: A Tutorial and Performance Results. Journal of Speech, Language, and Hearing Research 2023;66(7):2149 View
  3. Groh R, Li J, Li-Jessen N, Kist A. ANNOTE: Annotation of time-series events. Software Impacts 2024;21:100679 View
  4. Kinsey L, Cherney L. Measuring Real-World Talk Time and Locations of People With Aphasia Using Wearable Technology. American Journal of Speech-Language Pathology 2024;33(6S):3247 View
  5. Lee H, Park S, Kong S, Ryu H, Kim H, Lee S, Kang D, Shin S, Yu K, Cho J, Kang J, Chun I, Park H, Won S. Real-time deep learning-assisted mechano-acoustic system for respiratory diagnosis and multifunctional classification. npj Flexible Electronics 2024;8(1) View
  6. Glick A, Jones C, Martignetti L, Blanchette L, Tova T, Henderson A, Pell M, Li-Jessen N. An integrated empirical and computational study to decipher help-seeking behaviors and vocal stigma. Communications Medicine 2024;4(1) View