A dataset of visible – short wave infrared reflectance spectra collected in–vivo on the dorsal and ventral aspect of arms
Advancement of technology and device miniaturization have made near infrared spectroscopy (NIRS) techniques cost–effective, small–sized, simple, and ready to use. We applied NIRS to analyze healthy human muscles in vivo, and we found that this technique produces reliable and reproducible spectral “f...
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Elsevier
2020-12-01
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Series: | Data in Brief |
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author | Antonio Currà Riccardo Gasbarrone Carlo Trompetto Francesco Fattapposta Francesco Pierelli Paolo Missori Giuseppe Bonifazi Silvia Serranti |
author_facet | Antonio Currà Riccardo Gasbarrone Carlo Trompetto Francesco Fattapposta Francesco Pierelli Paolo Missori Giuseppe Bonifazi Silvia Serranti |
author_sort | Antonio Currà |
collection | DOAJ |
description | Advancement of technology and device miniaturization have made near infrared spectroscopy (NIRS) techniques cost–effective, small–sized, simple, and ready to use. We applied NIRS to analyze healthy human muscles in vivo, and we found that this technique produces reliable and reproducible spectral “fingerprints” of individual muscles, that can be successfully discriminated by chemometric predictive models. The dataset presented in this descriptor contains the reflectance spectra acquired in vivo from the ventral and dorsal aspects of the arm using an ASD FieldSpec® 4 Standard–Res field portable spectroradiometer (350–2500 nm), the values of the anthropometric variables measured in each subject, and the codes to assist access to the spectral data. The dataset can be used as a reference set of spectral signatures of “biceps” and “triceps” and for the development of automated methods of muscle detection. |
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language | English |
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spelling | doaj.art-09154dfd0a364fd987cd5ae6481db7d22022-12-21T23:15:44ZengElsevierData in Brief2352-34092020-12-0133106480A dataset of visible – short wave infrared reflectance spectra collected in–vivo on the dorsal and ventral aspect of armsAntonio Currà0Riccardo Gasbarrone1Carlo Trompetto2Francesco Fattapposta3Francesco Pierelli4Paolo Missori5Giuseppe Bonifazi6Silvia Serranti7Academic Neurology Unit, A. Fiorini Hospital, Terracina (LT), Department of Medical–Surgical Sciences and Biotechnologies, Sapienza University of Rome, Polo Pontino, Via Firenze snc, 04019 Terracina, LT, Italia; Research Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, ItaliaResearch Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italia; Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18 – 00184, Rome, ItalyIRCCS Ospedale Policlinico San Martino, and Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Largo Rosanna Benzi 10, 16132 Genova, ItaliaNeurology Unit, Policlinico Umberto I, Department of Human Neurosciences, Sapienza University of Rome, Via dell'Università 30, 00185 Roma, ItaliaResearch Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italia; IRCCS Neuromed, and Academic Neuro–Rehabilitation Unit, ICOT, Latina, Department of Medical–Surgical Sciences and Biotechnologies, Sapienza University of Rome, Polo Pontino, Via Franco Faggiana 1668, 04100 Latina, ItaliaNeurosurgery Unit, Policlinico Umberto I, Department of Human Neurosciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Roma, ItaliaResearch Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italia; Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18 – 00184, Rome, Italy; Corresponding author.Research Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italia; Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18 – 00184, Rome, ItalyAdvancement of technology and device miniaturization have made near infrared spectroscopy (NIRS) techniques cost–effective, small–sized, simple, and ready to use. We applied NIRS to analyze healthy human muscles in vivo, and we found that this technique produces reliable and reproducible spectral “fingerprints” of individual muscles, that can be successfully discriminated by chemometric predictive models. The dataset presented in this descriptor contains the reflectance spectra acquired in vivo from the ventral and dorsal aspects of the arm using an ASD FieldSpec® 4 Standard–Res field portable spectroradiometer (350–2500 nm), the values of the anthropometric variables measured in each subject, and the codes to assist access to the spectral data. The dataset can be used as a reference set of spectral signatures of “biceps” and “triceps” and for the development of automated methods of muscle detection.http://www.sciencedirect.com/science/article/pii/S2352340920313627Reflectance spectroscopy datasetMusclesNear infrared spectroscopyHuman tissues |
spellingShingle | Antonio Currà Riccardo Gasbarrone Carlo Trompetto Francesco Fattapposta Francesco Pierelli Paolo Missori Giuseppe Bonifazi Silvia Serranti A dataset of visible – short wave infrared reflectance spectra collected in–vivo on the dorsal and ventral aspect of arms Data in Brief Reflectance spectroscopy dataset Muscles Near infrared spectroscopy Human tissues |
title | A dataset of visible – short wave infrared reflectance spectra collected in–vivo on the dorsal and ventral aspect of arms |
title_full | A dataset of visible – short wave infrared reflectance spectra collected in–vivo on the dorsal and ventral aspect of arms |
title_fullStr | A dataset of visible – short wave infrared reflectance spectra collected in–vivo on the dorsal and ventral aspect of arms |
title_full_unstemmed | A dataset of visible – short wave infrared reflectance spectra collected in–vivo on the dorsal and ventral aspect of arms |
title_short | A dataset of visible – short wave infrared reflectance spectra collected in–vivo on the dorsal and ventral aspect of arms |
title_sort | dataset of visible short wave infrared reflectance spectra collected in vivo on the dorsal and ventral aspect of arms |
topic | Reflectance spectroscopy dataset Muscles Near infrared spectroscopy Human tissues |
url | http://www.sciencedirect.com/science/article/pii/S2352340920313627 |
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