Algorithm for removing scalp signals from functional near-infrared spectroscopy signals in real time using multidistance optodes

• Published in: Journal of biomedical optics Vol. 19; no. 11; p. 110505
• Main Authors: Kiguchi, Masashi, Funane, Tsukasa
• Format: Journal Article
• Language: English
• Published: United States Society of Photo-Optical Instrumentation Engineers 01.11.2014
• Subjects: Algorithms; Cerebrovascular Circulation - physiology; Dynamical systems; Dynamics; Hemoglobin; Hemoglobins - analysis; Human-computer interface; Humans; Models, Biological; Oxygenated; Phantoms, Imaging; Real time; Scalp - blood supply; Signal Processing, Computer-Assisted; Spectroscopy; Spectroscopy, Near-Infrared - methods; Wavelengths; scalp blood flow; infrared imaging; biomedical optics
• ISSN: 1083-3668; 1560-2281; 1560-2281
• DOI: 10.1117/1.JBO.19.11.110505

A real-time algorithm for removing scalp-blood signals from functional near-infrared spectroscopy signals is proposed. Scalp and deep signals have different dependencies on the source-detector distance. These signals were separated using this characteristic. The algorithm was validated through an experiment using a dynamic phantom in which shallow and deep absorptions were independently changed. The algorithm for measurement of oxygenated and deoxygenated hemoglobins using two wavelengths was explicitly obtained. This algorithm is potentially useful for real-time systems, e.g., brain-computer interfaces and neuro-feedback systems.