Database Proposal for Correlation of Glucose and Photoplethysmography Signals

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationAdvances in Emerging Trends and Technologies - Volume 2
EditorsMiguel Botto-Tobar, Joffre León-Acurio, Angela Díaz Cadena, Práxedes Montiel Díaz
PublisherSpringer Verlag
Pages44-53
Number of pages10
ISBN (Print)9783030320324
DOIs
StatePublished - 1 Jan 2020
Event1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019 - quito, Ecuador
Duration: 29 May 201931 May 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1067
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019
CountryEcuador
Cityquito
Period29/05/1931/05/19

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Keywords

  • Database
  • Glucose
  • Machine Learning
  • MFCCs
  • PPG

Cite this

Salamea, C., Narvaez, E., & Montalvo, M. (2020). Database Proposal for Correlation of Glucose and Photoplethysmography Signals. In M. Botto-Tobar, J. León-Acurio, A. Díaz Cadena, & P. Montiel Díaz (Eds.), Advances in Emerging Trends and Technologies - Volume 2 (pp. 44-53). (Advances in Intelligent Systems and Computing; Vol. 1067). Springer Verlag. https://doi.org/10.1007/978-3-030-32033-1_5