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Using Signal Processing Techniques to Predict PPG for T2D
Publication year - 2018
Publication title -
international journal of diabetes and metabolic disorders
Language(s) - English
Resource type - Journals
ISSN - 2475-5451
DOI - 10.33140/ijdmd.03.02.06
Subject(s) - computer science , signal processing , signal (programming language) , pattern recognition (psychology) , artificial intelligence , speech recognition , digital signal processing , computer hardware , programming language
This paper discusses the methodology and accuracy of a developed PPG prediction model using signal processing techniques from electronics and communication engineering.

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