Rapid discrimination of urine specific gravity using spectroscopy and a modified combination method based on SPA and spectral index

• Published in: Journal of biophotonics Vol. 17; no. 1; pp. e202300323 - n/a
• Main Authors: Yang, Cheng‐bo, Cai, Zhi‐long, Li, Qing‐zhi, Tang, Feng, Wu, Jing‐jun, Yang, Jia, Zhang, Yu‐rong, Li, Bo, Yang, Ping, Ye, Xin, Yang, Li‐ming
• Format: Journal Article
• Language: English
• Published: Weinheim WILEY‐VCH Verlag GmbH & Co. KGaA 01.01.2024; Wiley Subscription Services, Inc
• Subjects: Accuracy; Algorithms; Least-Squares Analysis; Mathematical models; Prediction models; random forest; Sensors; Specific Gravity; spectral analysis; spectral index; Spectroscopy; Spectroscopy, Near-Infrared - methods; successive projections algorithm; urine specific gravity; Wavelengths; spectral analysis; spectral index; urine specific gravity; random forest; successive projections algorithm
• ISSN: 1864-063X; 1864-0648
• DOI: 10.1002/jbio.202300323

To achieve high‐accuracy urine specific gravity discrimination and guide the design of four‐waveband multispectral sensors. A modified combination strategy was attempted to be proposed based on the successive projections algorithm (SPA) and the spectral index (SI) in the present study. First, the SPA was used to select four spectral variables in the full spectra. Second, the four spectral variables were mathematically transformed by SI to obtain SI values. Then, SPA gradually fusions the SI values and establishes models to identify USG. The results showed that the SPA can screen out the four characteristic wavelengths related to the measured sample attributes. SIs can be used to improve the performance of constructed prediction models. The best model only involves four spectral variables and 1 SI value, with high accuracy (91.62%), sensitivity (0.9051), and specificity (0.9667). The results reveal that m‐SPA‐SI can effectively distinguish USG and provide design guidance for 4‐wavelength multispectral sensors. Urine specific gravity, as one of the clinical urine analysis items, plays an important role in monitoring hydration status, renal injury, and urinary tract stones. This study effectively distinguishes USG by combining SPA and spectral index, using only four spectral variables and one SI value. It also provides guidance for the design of four channel multispectral sensors.