Near-infrared spectroscopy as a tool for in vivo analysis of human muscles

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作者
Antonio Currà
Riccardo Gasbarrone
Alessandra Cardillo
Carlo Trompetto
Francesco Fattapposta
Francesco Pierelli
Paolo Missori
Giuseppe Bonifazi
Silvia Serranti
机构
[1] Sapienza University of Rome,Academic Neurology Unit, A. Fiorini Hospital, Terracina (LT), Department of Medical
[2] Polo Pontino,Surgical Sciences and Biotechnologies
[3] Via Firenze snc,Research Center for Biophotonics
[4] Sapienza University of Rome,Department of Chemical Engineering, Materials & Environment
[5] Polo Pontino,IRCCS Ospedale Policlinico San Martino, and Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health
[6] Sapienza University of Rome,Neurology Unit, Policlinico Umberto I, Department of Human Neurosciences
[7] Via Eudossiana,Neurosurgery Unit, Policlinico Umberto I, Department of Human Neurosciences
[8] University of Genova,undefined
[9] Sapienza University of Rome,undefined
[10] IRCCS Neuromed,undefined
[11] and Academic Neuro-Rehabilitation Unit,undefined
[12] ICOT,undefined
[13] Latina,undefined
[14] Department of Medical-Surgical Sciences and Biotechnologies,undefined
[15] Sapienza University of Rome,undefined
[16] Polo Pontino,undefined
[17] Sapienza University of Rome,undefined
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摘要
Recent advances in materials and fabrication techniques provided portable, performant, sensing optical spectrometers readily operated by user-friendly cabled or wireless systems. Such systems allow rapid, non-invasive, and not destructive quantitative analysis of human tissues. This proof-of-principle investigation tested whether infrared spectroscopy techniques, currently utilized in a variety of areas, could be applied in living humans to categorize muscles. Using an ASD FieldSpec® 4 Standard-Res Spectroradiometer with a spectral sampling capability of 1.4 nm at 350–1000 nm and 1.1 nm at 1001–2500 nm, we acquired reflectance spectra in visible short-wave infra-red regions (350–2500 nm) from the upper limb muscles (flexors and extensors) of 20 healthy subjects (age 25–89 years, 9 women). Spectra off-line analysis included preliminary preprocessing, Principal Component Analysis, and Partial Least-Squares Discriminant Analysis. Near-infrared (NIR) spectroscopy proved valuable for noninvasive assessment of tissue optical properties in vivo. In addition to the non-invasive detection of tissue oxygenation, NIR spectroscopy provided the spectral signatures (ie, “fingerprints”) of upper limb flexors and extensors, which represent specific, accurate, and reproducible measures of the overall biological status of these muscles. Thus, non-invasive NIR spectroscopy enables more thorough evaluation of the muscular system and optimal monitoring of the effectiveness of therapeutic or rehabilitative interventions.
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