Article

Photoplethysmography Feature Extraction for Non-invasive Glucose Estimation by Means of MFCC and Machine Learning Techniques

2025-05-13

Abstract excerpt

Diabetes Mellitus is considered one of the most widespread diseases in the world. Traditional glucose monitoring devices carry discomfort and risks associated with the frequent extraction of blood from users. The present article proposes a noninvasive glucose estimation system based on the application of Mel Frequency Cepstral Coefficients (MFCCs) for the characterization of Photoplethysmographic signals (PPG). Tw...

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Literature Corpus work: 34ca10e2-9eb8-5785-973a-fe0c6631a24a
DOI: 10.20944/preprints202505.0916.v1

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