Abstract

One solution to the global challenge of increasing ocular disease is a cost-effective technique for rapid screening and assessment. Current ophthalmic imaging techniques, e.g. scanning and ocular blood flow systems, are expensive, complex to operate and utilize invasive contrast agents during assessment. The work presented here demonstrates a simple retinal imaging photoplethysmography (iPPG) system with the potential to provide screening, diagnosis, monitoring and assessment that is non-invasive, painless and radiationless. Time series of individual retinal blood vessel images, captured with an eye fundus camera, are processed using standard filtering, amplitude demodulation and principle component analysis (PCA) methods to determine the values of the heart rate (HR) and respiration rate (RR), which are in compliance with simultaneously obtained measurements using commercial pulse oximetry. It also seems possible that some information on the dynamic changes in oxygen saturation levels (SpO2) in a retinal blood vessel may also be obtained. As a consequence, the retinal iPPG modality system demonstrates a potential avenue for rapid ophthalmic screening, and even early diagnosis, against ocular disease without the need for fluorescent or contrast agents.

Highlights

  • Ocular diseases (OD), including glaucoma, diabetes, cataracts and age-related macular degeneration (AMD) have experienced a rapid increase worldwide [1, 2]

  • Heart rate (HR) our simple system did not have the capacity to trigger the camera and the contact sensor to record from the same time reference; which leaves a certain amount of uncertainly in the line-up of the imaging photoplethysmography (iPPG)/principle component analysis (PCA) and the contact photoplethysmographic (cPPG) signals

  • A peak detector on each signal should reveal a dynamic heart rate, the peak position is limited to an accuracy of ± half a same period, i.e. 0.05s for the iPPG signal

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Summary

Introduction

Ocular diseases (OD), including glaucoma, diabetes, cataracts and age-related macular degeneration (AMD) have experienced a rapid increase worldwide [1, 2]. The ocular microcirculatory system consists of a complex network of arteries and veins driven by ocular perfusion pressure (OPP) [4]. Retinal vessel branches are connected to the optic nerve system via the lamina cribrosa structure (LCS), which is meshed with the central retina vein (CRV) and central retina artery (CRA), and so interact with the cardiovascular system. We note from previous studies [6, 7] that the quantification of such fluctuations is a vital factor in early detection of visual impairments resulting from cardiovascular disease, hypertension, diabetic autonomic dysfunction and some psychological disorders

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