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

Development of Novel Medical Devices and Innovations for Existing Devices (91) Digital Biomarkers and Digital Phenotyping (238) Decision Support for Health Professionals (1388) Artificial Intelligence (1831) Machine Learning (1816) Computer-Aided Diagnosis (191) Methods and Instruments in Medical Informatics (168)

Published on in Vol 9 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56246, first published .
Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study

Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study

Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study

Authors of this article:

Jessica Oreskovic1 Author Orcid Image ;   Jaycee Kaufman1 Author Orcid Image ;   Yan Fossat1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Cummins N, White L, Rahman Z, Lucas C, Pan T, Carr E, Matcham F, Downs J, Dobson R, Quatieri T, Dineley J. A methodological framework and exemplar protocol for the collection and analysis of repeated speech samples (Preprint). JMIR Research Protocols 2024 View
  2. Salamea-Palacios C, Montalvo-López M, Orellana-Peralta R, Viñanzaca-Figueroa J. Photoplethysmography Feature Extraction for Non-Invasive Glucose Estimation by Means of MFCC and Machine Learning Techniques. Biosensors 2025;15(7):408 View
  3. Kalia A, Boyer M, Fagherazzi G, Bélisle-Pipon J, Bensoussan Y. Master protocols in vocal biomarker development to reduce variability and advance clinical precision: a narrative review. Frontiers in Digital Health 2025;7 View
  4. Assadi A, Oreskovic J, Kaufman J, Fossat Y. Optimizing Voice Sample Quantity and Recording Settings for the Prediction of Type 2 Diabetes Mellitus: Retrospective Study. JMIR Biomedical Engineering 2025;10:e64357 View