Optical detection of wound infection in vivo by near infrared diffuse reflectance spectroscopy. Issue 10 (26th November 2017)

• Record Type: Journal Article
• Authors: Wang, Pin; Wang, Jie; Yin, Meifang; Li, Yongming; Wu, Jun
• Is Part Of: Spectroscopy letters. Volume 50:Issue 10(2017)
• Page Start: 566
• Page End: 571
• Publication Date: 2017-11-26
• Subjects: Diffuse reflectance spectroscopy -- optical properties -- spectrum analysis -- wound infection; Spectrum analysis -- Periodicals; 543.5
• DOI: 10.1080/00387010.2017.1390768
• Languages: English
• ISSNs: 0038-7010

Abstract

ABSTRACT: Detection of bacterial infection is important for deciding optimal treatment and management for wound. In the paper, near infrared diffuse reflectance spectroscopy is proposed for detection wound infection in vivo with optical properties. A porcine model is used as experimental subject in the detection of wound infection. The spectrally resolved data of the wounds are analyzed to extract the optical properties including reduced scattering coefficient and absorption coefficient. Based on optical properties, an ensemble model of chain-like agent genetic optimized Support Vector Machine is applied to discriminate wound infection. The experimental results demonstrate the feasibility and effectiveness of the method for rapid and noninvasive detection of wound infection using optical properties.