Paper
31 October 2016 Evaluation on the detection limit of blood hemoglobin using photolepthysmography based on path-length optimization
Di Sun, Chao Guo, Ziyang Zhang, Tongshuai Han, Jin Liu
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Abstract
The blood hemoglobin concentration’s (BHC) measurement using Photoplethysmography (PPG), which gets blood absorption to near infrared light from the instantaneous pulse of transmitted light intensity, has not been applied to the clinical use due to the non-enough precision. The main challenge might be caused of the non-enough stable pulse signal when it’s very weak and it often varies in different human bodies or in the same body with different physiological states. We evaluated the detection limit of BHC using PPG as the measurement precision level, which can be considered as a best precision result because we got the relative stable subject’s pulse signals recorded by using a spectrometer with high signal-to-noise ratio (SNR) level, which is about 30000:1 in short term. Moreover, we optimized the used pathlength using the theory based on optimum pathlength to get a better sensitivity to the absorption variation in blood. The best detection limit was evaluated as about 1 g/L for BHC, and the best SNR of pulse for in vivo measurement was about 2000:1 at 1130 and 1250 nm. Meanwhile, we conclude that the SNR of pulse signal should be better than 400:1 when the required detection limit is set to 5 g/L. Our result would be a good reference to the BHC measurement to get a desired BHC measurement precision of real application.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Di Sun, Chao Guo, Ziyang Zhang, Tongshuai Han, and Jin Liu "Evaluation on the detection limit of blood hemoglobin using photolepthysmography based on path-length optimization", Proc. SPIE 10024, Optics in Health Care and Biomedical Optics VII, 100242W (31 October 2016); https://doi.org/10.1117/12.2245938
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KEYWORDS
Signal to noise ratio

Blood

Absorption

Spectroscopy

Signal detection

In vivo imaging

Absorbance

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