Noninvasive optical quantification of absolute blood flow, blood oxygenation, and oxygen consumption rate in exercising skeletal muscle

• Published in: Journal of Biomedical Optics Vol. 17; no. 7; pp. 750101 - 1-075010-3
• Main Authors: Gurley, Katelyn, Shang, Yu, Yu, Guoqiang
• Format: Journal Article
• Language: English
• Published: United States Society of Photo-Optical Instrumentation Engineers 01.07.2012
• Subjects: Adult; Algorithms; Blood flow; Blood Flow Velocity - physiology; diffuse correlation spectroscopy; Diffusion; Diffusion rate; Equipment Design; Equipment Failure Analysis; Exercise - physiology; Female; handgrip exercise; Humans; Male; Muscle Contraction - physiology; Muscle, Skeletal - physiology; Muscles; near-infrared spectroscopy; noninvasive measurement; Oximetry - instrumentation; Oxygen - blood; Oxygen consumption; Oxygen Consumption - physiology; Oxygenation; Reproducibility of Results; Research Papers: General; Rheology - instrumentation; Sensitivity and Specificity; skeletal muscle; Spectroscopic analysis; Spectroscopy; Spectroscopy, Near-Infrared - instrumentation; Young Adult
• ISSN: 1083-3668; 1560-2281; 1560-2281
• DOI: 10.1117/1.JBO.17.7.075010

This study investigates a method using novel hybrid diffuse optical spectroscopies [near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS)] to obtain continuous, noninvasive measurement of absolute blood flow (BF), blood oxygenation, and oxygen consumption rate ( ) in exercising skeletal muscle. Healthy subjects ( ) performed a handgrip exercise to increase BF and in forearm flexor muscles, while a hybrid optical probe on the skin surface directly monitored oxy-, deoxy-, and total hemoglobin concentrations ([ ], [Hb], and THC), tissue oxygen saturation ( ), relative BF ( ), and relative oxygen consumption rate ( ). The and signals were calibrated with absolute baseline BF and obtained through venous and arterial occlusions, respectively. Known problems with muscle-fiber motion artifacts in optical measurements during exercise were mitigated using a novel gating algorithm that determined muscle contraction status based on control signals from a dynamometer. Results were consistent with previous findings in the literature. This study supports the application of NIRS/DCS technology to quantitatively evaluate hemodynamic and metabolic parameters in exercising skeletal muscle and holds promise for improving diagnosis and treatment evaluation for patients suffering from diseases affecting skeletal muscle and advancing fundamental understanding of muscle and exercise physiology.