Remote photonic sensing of blood oxygen saturation via tracking of anomalies in micro-saccades patterns

ZEEV KALYUZHNER, SERGEY AGDAROV, AVIYA BENNETT, YAFIM BEIDERMAN, ZEEV ZALEVSKY

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Speckle pattern analysis has been found by many researchers to be applicable to remote sensing of various biomedical parameters. This paper shows how analysis of dynamic differential speckle patterns scattered from subjects' sclera illuminated by a laser beam allows extraction of micro-saccades movement in the human eye. Analysis of micro-saccades movement using advanced machine learning techniques based on convolutional neural networks offers a novel approach for non-contact assessment of human blood oxygen saturation level (SpO2). Early stages of hypoxia can rapidly progress into pneumonia and death, and lives can be saved by advance remote detection of reduced blood oxygen saturation.

Original languageEnglish
Pages (from-to)3386-3394
Number of pages9
JournalOptics Express
Volume29
Issue number3
DOIs
StatePublished - 1 Feb 2021

Bibliographical note

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© 2021 Optical Society of America.

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