Type 2 Diabetes Detection With Light CNN From Single Raw PPG Wave

Author:

Zanelli Serena1ORCID,Yacoubi Mounim A. El2ORCID,Hallab Magid3,Ammi Mehdi1

Affiliation:

1. Laboratoire Analyse, Géométrie et Applications (LAGA), University of Sorbonne Nord Paris, Villetaneuse, France

2. SAMOVAR Telecom SudParis, Institut Polytechnique de Paris, Palaiseau, France

3. Clinique Bizet, Paris, France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference35 articles.

1. Photoplethysmographic signal waveform index for detection of increased arterial stiffness

2. Diagnostic features and potential applications of PPG signal in healthcare: A systematic review;almarshad;HealthcarePapers,2022

3. Poincaré plot of fingertip photoplethysmogram pulse amplitude suitable to assess diabetes status;bagus;Proc 4th Int Conf Electr Eng Comput Sci Informat (EECSI),2017

4. Commentary: Valuing the Vulnerable – The Important Role of Transgender Communities in Biomedical Research

5. A Machine Learning Approach to Predict Diabetes Using Short Recorded Photoplethysmography and Physiological Characteristics

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1. Non-Invasive Diagnostic Approach for Diabetes Using Pulse Wave Analysis and Deep Learning;Informatics;2024-07-19

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3. Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features;Anais do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2024);2024-06-25

4. Non-invasive Diabetes Detection System Using Photoplethysmogram Signals;Lecture Notes in Networks and Systems;2024

5. Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method;Neural Computing and Applications;2023-11-20

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