Non invasive blood glucose estimation using green light photoplethysmography and machine learning.
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| Title: | Non invasive blood glucose estimation using green light photoplethysmography and machine learning. |
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| Authors: | Khan K; Department of Biomedical Engineering, Riphah International University, Islamabad, Pakistan., Malik L; Department of Biomedical Engineering, Riphah International University, Islamabad, Pakistan., Khan AQ; Department of Biomedical Engineering, Riphah International University, Islamabad, Pakistan., Abbasi SF; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, United Kingdom., Arvanitis TN; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, United Kingdom. |
| Source: | Frontiers in digital health [Front Digit Health] 2026 Feb 17; Vol. 8, pp. 1705086. Date of Electronic Publication: 2026 Feb 17 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101771889 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-253X (Electronic) Linking ISSN: 2673253X NLM ISO Abbreviation: Front Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2673-253X |
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| DOI: | 10.3389/fdgth.2026.1705086 |
