Linear effects of glucose levels on voice fundamental frequency in type 2 diabetes and individuals with normoglycemia
Author:
Funder
Klick Inc.
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-69620-z.pdf
Reference49 articles.
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2. Ankışhan, H. Blood pressure prediction from speech recordings. Biomed. Signal Process. Control 58, 101842. https://doi.org/10.1016/j.bspc.2019.101842 (2020).
3. Shankar, O. & Lohiya, B. V. Cardiovocal syndrome—A rare presentation of primary pulmonary hypertension. Indian Heart J. 66(3), 375–377. https://doi.org/10.1016/j.ihj.2013.12.055 (2014).
4. Alam, M. Z. et al. Predicting pulmonary function from the analysis of voice: A machine learning approach. Front. Digit. Health 8(4), 750226. https://doi.org/10.3389/fdgth.2022.750226 (2022).
5. James, A. P. Heart rate monitoring using human speech spectral features. HCIS 5, 1–2. https://doi.org/10.1186/s13673-015-0052-z (2015).
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