Estimation of blood glucose by non-invasive method using photoplethysmography

Author:

Habbu Shraddha,Dale Manisha,Ghongade Rajesh

Funder

Board of College and University Development(BCUD) Savitribai Phule Pune University

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference32 articles.

1. Monte-Moreno E 2011 Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques. Artificial Intelligence in Medicine 53(2): 127–138

2. Losoya-Leal A, Camacho-León S, Dieck-Assad G and Martínez-Chapa S 2012 State of the art and new perspectives in non-invasive glucose sensors. Revista Mexicana De Ingeniería Biomédica 33(1): 41–52

3. March W 1974 Noninvasive automatic glucose sensor system US3958560A

4. So C, Choi K, Wong T and Chung J 2012 Recent advances in noninvasive glucose monitoring. Medical Devices (Auckland, NZ), 5, p.45

5. Ciudin A, Hernández C and Simó R 2012 Non-invasive methods of glucose measurement: current status and future perspectives. Current Diabetes Reviews 8(1): 48–54

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