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Related Experiment Video

Updated: Jan 9, 2026

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
07:22

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

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Retinal Pulse Wave Estimation Through Near-Infrared Fundus Video Analysis.

Masaya Kinefuchi, Norio Iijima, Hironari Takehara

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary
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    This study introduces a non-contact method using near-infrared (NIR) fundus imaging to estimate pulse signals from retinal blood vessel changes. The technique shows promise for noninvasive physiological monitoring, though further validation is needed.

    Area of Science:

    • Ophthalmology
    • Biomedical Engineering
    • Medical Imaging

    Background:

    • Non-contact physiological monitoring is crucial for patient comfort and continuous data acquisition.
    • Estimating pulse wave signals noninvasively can aid in cardiovascular health assessment.
    • Retinal imaging offers a unique window into the microvasculature for physiological measurements.

    Purpose of the Study:

    • To develop and evaluate a non-contact method for estimating pulse wave-like signals using retinal vessel diameter changes.
    • To assess the feasibility of using near-infrared (NIR) fundus videos for continuous physiological signal monitoring.
    • To compare signals obtained from NIR fundus imaging with traditional photoplethysmography.

    Main Methods:

    • A compact imaging system with a commercial camera and NIR LED was used to capture continuous fundus videos.

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    Last Updated: Jan 9, 2026

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  • Temporal changes in retinal vessel diameter were analyzed from the acquired videos.
  • Signals extracted from NIR fundus imaging were compared with those from fingertip photoplethysmography.

    • Main Results:

    • Periodic waveforms, indicative of pulse signals, were successfully extracted from NIR fundus videos.
    • The extracted signals exhibited similarities to photoplethysmography signals, with minor discrepancies in peak intervals.
    • The method demonstrated potential for noninvasive physiological signal monitoring without mydriatic agents.

    Conclusions:

    • NIR fundus imaging is a promising non-contact technique for estimating pulse wave-like signals.
    • Further research with larger cohorts and enhanced imaging precision is required to confirm statistical validity and clinical applicability.
    • This approach may offer a comfortable and effective alternative for long-term physiological monitoring.