Time Domain Near Infrared Spectroscopy Device for Monitoring Muscle Oxidative Metabolism: Custom Probe and In Vivo Applications

Measurement of muscle oxidative metabolism is of interest for monitoring the training status in athletes and the rehabilitation process in patients. Time domain near infrared spectroscopy (TD NIRS) is an optical technique that allows the non-invasive measurement of the hemodynamic parameters in muscular tissue: concentrations of oxy- and deoxy-hemoglobin, total hemoglobin content, and tissue oxygen saturation. In this paper, we present a novel TD NIRS medical device for muscle oxidative metabolism. A custom-printed 3D probe, able to host optical elements for signal acquisition from muscle, was develop for TD NIRS in vivo measurements. The system was widely characterized on solid phantoms and during in vivo protocols on healthy subjects. In particular, we tested the in vivo repeatability of the measurements to quantify the error that we can have by repositioning the probe. Furthermore, we considered a series of acquisitions on different muscles that were not yet previously performed with this custom probe: a venous-arterial cuff occlusion of the arm muscle, a cycling exercise, and an isometric contraction of the vastus lateralis.

[1]  M. Ferrari,et al.  The use of near-infrared spectroscopy in understanding skeletal muscle physiology: recent developments , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[2]  Marco Ferrari,et al.  Muscle oxygenation and pulmonary gas exchange kinetics during cycling exercise on-transitions in humans. , 2003, Journal of applied physiology.

[3]  Davide Contini,et al.  Effect of a thin superficial layer on the estimate of hemodynamic changes in a two-layer medium by time domain NIRS. , 2016, Biomedical optics express.

[4]  R. Cubeddu,et al.  Brain and Muscle near Infrared Spectroscopy/Imaging Techniques , 2012 .

[5]  Marco Ferrari,et al.  A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application , 2012, NeuroImage.

[6]  Martin Wolf,et al.  A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology , 2014, NeuroImage.

[7]  Alessandro Torricelli,et al.  Mapping of calf muscle oxygenation and haemoglobin content during dynamic plantar flexion exercise by multi-channel time-resolved near-infrared spectroscopy , 2004, Physics in medicine and biology.

[8]  Valentina Quaresima,et al.  Near-infrared spectroscopy and skeletal muscle oxidative function in vivo in health and disease: a review from an exercise physiology perspective , 2016, Journal of biomedical optics.

[9]  Britton Chance,et al.  The use of muscle near-infrared spectroscopy in sport, health and medical sciences: recent developments , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[10]  Davide Contini,et al.  Multi-channel medical device for time domain functional near infrared spectroscopy based on wavelength space multiplexing. , 2013, Biomedical optics express.

[11]  Davide Contini,et al.  Monitoring muscle metabolic indexes by time-domain near-infrared spectroscopy during knee flex-extension induced by functional electrical stimulation. , 2009, Journal of biomedical optics.

[12]  H. Langberg,et al.  Monitoring tissue oxygen availability with near infrared spectroscopy (NIRS) in health and disease , 2001, Scandinavian journal of medicine & science in sports.

[13]  Kevin K McCully,et al.  Activity-induced changes in skeletal muscle metabolism measured with optical spectroscopy. , 2013, Medicine and science in sports and exercise.

[14]  Davide Contini,et al.  Probe-hosted silicon photomultipliers for time-domain functional near-infrared spectroscopy: phantom and in vivo tests , 2016, Neurophotonics.

[15]  Davide Contini,et al.  Method for the discrimination of superficial and deep absorption variations by time domain fNIRS. , 2013, Biomedical optics express.

[16]  Alessandro Torricelli,et al.  Mechanically switchable solid inhomogeneous phantom for performance tests in diffuse imaging and spectroscopy , 2015, Journal of biomedical optics.

[17]  Davide Contini,et al.  A compact time-resolved system for near infrared spectroscopy based on wavelength space multiplexing. , 2010, The Review of scientific instruments.

[18]  Albert Cerussi,et al.  Cerebral and Muscle Tissue Oxygenation During Incremental Cycling in Male Adolescents Measured by Time-Resolved Near-Infrared Spectroscopy. , 2016, Pediatric exercise science.

[19]  Lorenzo Spinelli,et al.  Phantoms for diffuse optical imaging based on totally absorbing objects, part 2: experimental implementation , 2014, Journal of biomedical optics.

[20]  B Chance,et al.  Noninvasive measures of oxidative metabolism on working human muscles by near-infrared spectroscopy. , 1996, Journal of applied physiology.

[21]  D. Paterson,et al.  Kinetics of VO2 limb blood flow and regional muscle deoxygenation in young adults during moderate intensity, knee-extension exercise , 2010, European Journal of Applied Physiology.

[22]  A. Russell,et al.  Skeletal muscle mitochondria: a major player in exercise, health and disease. , 2014, Biochimica et biophysica acta.

[23]  Davide Contini,et al.  Deep and surface hemodynamic signal from functional time resolved transcranial near infrared spectroscopy compared to skin flowmotion , 2012, Comput. Biol. Medicine.

[24]  W. Frontera,et al.  Skeletal Muscle: A Brief Review of Structure and Function , 2014, Calcified Tissue International.

[25]  Davide Contini,et al.  Performance assessment of time-domain optical brain imagers, part 2: nEUROPt protocol. , 2014, Journal of biomedical optics.

[26]  M. Ferrari,et al.  The use of near infrared spectroscopy in sports medicine. , 2003, The Journal of sports medicine and physical fitness.

[27]  Alessandro Torricelli,et al.  Performance assessment of photon migration instruments: the MEDPHOT protocol. , 2004, Applied optics.

[28]  Davide Contini,et al.  Time domain functional NIRS imaging for human brain mapping , 2014, NeuroImage.

[29]  D Contini,et al.  Photon migration through a turbid slab described by a model based on diffusion approximation. I. Theory. , 1997, Applied optics.

[30]  Shunsaku Koga,et al.  Validation of a high-power, time-resolved, near-infrared spectroscopy system for measurement of superficial and deep muscle deoxygenation during exercise. , 2015, Journal of applied physiology.

[31]  M. D. Campbell,et al.  Evaluation of in vivo mitochondrial bioenergetics in skeletal muscle using NMR and optical methods. , 2016, Biochimica et biophysica acta.

[32]  Shunsaku Koga,et al.  Muscle deoxygenation in the quadriceps during ramp incremental cycling: Deep vs. superficial heterogeneity. , 2015, Journal of applied physiology.

[33]  Deborah Backus,et al.  Endurance neuromuscular electrical stimulation training improves skeletal muscle oxidative capacity in individuals with motor‐complete spinal cord injury , 2017, Muscle & nerve.

[34]  T. Hamaoka,et al.  Validity of NIR spectroscopy for quantitatively measuring muscle oxidative metabolic rate in exercise. , 2001, Journal of applied physiology.

[35]  Kevin K. McCully,et al.  In Vivo Assessment of Mitochondrial Dysfunction in Clinical Populations Using Near-Infrared Spectroscopy , 2017, Front. Physiol..

[36]  Alun D. Hughes,et al.  Recent developments in near-infrared spectroscopy (NIRS) for the assessment of local skeletal muscle microvascular function and capacity to utilise oxygen , 2016, Artery research.