A pulse oximeter based on Time-of-Flight histograms
Yuanyuan Hua, Konstantinos Bantounos, Aravind Venugopalan Nair Jalajakumari, Alex Turpin, Ian Underwood, and Danial Chitnis

TL;DR
This paper introduces a novel ToF histogram-based pulse oximeter that offers improved accuracy and stability over traditional methods, suitable for integration into compact consumer devices like smartphones and wearables.
Contribution
The paper presents a new ToF histogram approach for pulse oximetry using a FPGA-based system with a CMOS SPAD detector, enhancing measurement stability and accuracy.
Findings
Preliminary ToF pulse measurement results demonstrate feasibility.
The system shows increased linearity and stability compared to traditional sensors.
Potential for integration into portable consumer devices is discussed.
Abstract
A pulse oximeter is an optical device that monitors tissue oxygenation levels. Traditionally, these devices estimate the oxygenation level by measuring the intensity of the transmitted light through the tissue and are embedded into everyday devices such as smartphones and smartwatches. However, these sensors require prior information and are susceptible to unwanted changes in the intensity, including ambient light, skin tone, and motion artefacts. Previous experiments have shown the potential of Time-of-Flight (ToF) techniques in measurements of tissue hemodynamics. Our proposed technology uses histograms of photon flight paths within the tissue to obtain tissue oxygenation, regardless of the changes in the intensity of the source. Our device is based on a 45ps time-to-digital converter (TDC) which is implemented in a Xilinx Zynq UltraScale+ field programmable gate array (FPGA), a CMOS…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNon-Invasive Vital Sign Monitoring · Optical Imaging and Spectroscopy Techniques · Advanced Optical Sensing Technologies
